Master of Science in Applied Physics and Electrical Engineering, 300 credits

Civilingenjörsprogram i teknisk fysik och elektroteknik, 300 hp

6CYYY

Teaching language

Swedish

Campus

Linköping

Degree

Master of Science in Engineering 300 credits and Master of Science 120 credits

Pace of study

Full-time
Possible deviation from course syllabus/programme syllabus

Entry requirements

    Degree in Swedish

    Civilingenjör 300 hp och Teknologie master 120 hp

    Degree in English

    Master of Science in Engineering 300 credits and Master of Science 120 credits

    Semester 1 Autumn 2022

    Semester 2 Spring 2023

    Semester 3 Autumn 2023

    Semester 4 Spring 2024

    Semester 5 Autumn 2024

    Course code Course name Credits Level Timetable module ECV
    Period 1
    TAMS24 Statistics, First Course 4 G2F 4 C
    TATA77 Fourier Analysis 6 G2F 1 C
    TDDE71 Programming and Data Structures 8* G2F 2 C
    *The course is divided into several semesters and/or periods
    TFYA43 Nanotechnology 6 G2F 3 E
    Period 2
    TDDE71 Programming and Data Structures 8* G2F 2 C
    *The course is divided into several semesters and/or periods
    TFYA12 Thermodynamics and Statistical Mechanics 6 G2F 4 C
    TSDT18 Signals and Systems 6 G2F 3 C

    Semester 6 Spring 2025

    Course code Course name Credits Level Timetable module ECV
    Period 1
    TMME69 Mechanics, second course 4 G2X 3 C
    TSRT12 Automatic Control 6 G2F 1 C
    TFYA75 Applied Physics - Bachelor Project 16* G2E 2 C/E
    *The course is divided into several semesters and/or periods
    TSEA56 Electronics Engineering - Bachelor Project 16* G2E 2 C/E
    *The course is divided into several semesters and/or periods
    THEN18 English 6* G1N 4 E
    *The course is divided into several semesters and/or periods
    TINT01 Introduction to Intercultural Competence 2 G1N - E
    Period 2
    TEAE01 Industrial Economics, Basic Course 6 G1F 2 C/E
    TFYA74 Modern Physics II 4 G2F 1 C/E
    TFYA75 Applied Physics - Bachelor Project 16* G2E - C/E
    *The course is divided into several semesters and/or periods
    TSEA56 Electronics Engineering - Bachelor Project 16* G2E - C/E
    *The course is divided into several semesters and/or periods
    TSKS10 Signals, Information and Communication 4 G2F 3 C/E
    THEN18 English 6* G1N 4 E
    *The course is divided into several semesters and/or periods

    Semester 7 Autumn 2025

    Course code Course name Credits Level Timetable module ECV
    Period 1
    TAMS32 Stochastic Processes 6 A1N 1 E
    TAMS39 Multivariate Statistical Methods 6 A1N 4 E
    The course is offered every second year, odd years.
    TAMS43 Probability Theory and Bayesian Networks 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    TAOP34 Large Scale Optimization 6 A1N 3 E
    TATA34 Real Analysis, Honours Course 6* G2F 4 E
    *The course is divided into several semesters and/or periods
    TATA55 Abstract Algebra 6* G2F 3 E
    *The course is divided into several semesters and/or periods
    TATM85 Functional Analysis 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TBME04 Anatomy and Physiology 6 G2F 3 E
    TBMI19 Medical Information Systems 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TDDC17 Artificial Intelligence 6 G2F 3 E
    TDDD08 Logic Programming 6 A1N 4 E
    TDDD38 Advanced Programming in C++ 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TDTS06 Computer Networks 6 G2F 1 E
    TDTS08 Advanced Computer Architecture 6 A1N 2 E
    TFFM08 Experimental Physics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TFFY54 Quantum Mechanics 6 A1N 2 E
    TFKE59 Fundamentals of Chemistry 6 G1N 2 E
    TFYA18 Mathematical Methods of Physics 6 A1N 3 E
    TFYA43 Nanotechnology 6 G2F 3 E
    TFYA88 Additive Manufacturing: Tools, Materials and Methods 6 A1N 3 E
    TFYA97 Modern Optics 6 A1N 4 E
    TMHL03 Mechanics of Light Structures 6 A1N 4 E
    TMMV18 Fluid Mechanics 6 A1N 1 E
    TPPE17 Corporate Finance 6 G2F 4 E
    TSBB06 Multidimensional Signal Analysis 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TSBB08 Digital Image Processing 6 A1N 4 E
    TSDT14 Signal Theory 6 A1N 1 E
    TSFS09 Modelling and Control of Engines and Drivelines 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    TSKS15 Detection and Estimation of Signals 6 A1N 4 E
    TSKS35 Information and Communications Engineering 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TSRT92 Modelling and Learning for Dynamical Systems 6 A1N 3 E
    TSTE12 Design of Digital Systems 6 A1N 3 E
    TSTE86 Digital Integrated Circuits 6 A1N 2 E
    Period 2
    TGTU49 History of Technology 6 G1F 1 C/E
    TKMJ24 Environmental Engineering 6 G1N 1 C/E
    TAMS17 Statistical Theory, advanced course 6 A1N 1 E
    The course is given every second year, odd years.
    TAMS41 Statistical Modelling with Regression Methods 6 A1N 3 E
    TAMS43 Probability Theory and Bayesian Networks 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    TAOP04 Mathematical Optimization 6 A1N 4 E
    The course is only offered every second year, even years.
    TATA34 Real Analysis, Honours Course 6* G2F 4 E
    *The course is divided into several semesters and/or periods
    TATA55 Abstract Algebra 6* G2F 3 E
    *The course is divided into several semesters and/or periods
    TATA71 Ordinary Differential Equations and Dynamical Systems 6 G2F 2 E
    TATM85 Functional Analysis 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TBME03 Biochemistry and Cell Biology 6 G2F 2 E
    TBMI19 Medical Information Systems 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TBMT01 Biomedical Signal Processing 6 A1F 1 E
    TDDD38 Advanced Programming in C++ 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TDDD56 Multicore and GPU Programming 6 A1N 2 E
    TEAE05 Resource Theory 6 G1N 3 E
    TEIO29 Leadership and Organisation 6 G1F 1 E
    TFFM08 Experimental Physics 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TFYA37 Soft Condensed Matter Physics 6 A1N 1 E
    TFYA60 Astronomy and Geophysics 6 G1F 3 E
    TFYA90 Computational Physics 6 A1F 4 E
    TFYB01 Advanced Electromagnetics 6 A1N 2 E
    TFYM01 Solid State Physics I 6 A1F 2 E
    TMKM90 Engineering Materials - Deformation and Fracture 6 A1N 2 E
    TPPE29 Financial Markets and Instruments 6 A1N 2 E
    TSBB06 Multidimensional Signal Analysis 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TSBB21 Computational Photography 6 A1F 4 E
    TSEA81 Computer Engineering and Real-time Systems 6 A1N 4 E
    TSEK02 Radio Electronics 6 A1N 3 E
    TSEK37 Analog CMOS Integrated Circuits 6 A1F 1 E
    TSFS02 Vehicle Dynamics and Control 6 A1N 1 E
    TSFS09 Modelling and Control of Engines and Drivelines 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TSFS22 Fault detection and diagnosis of technical systems 6 A1X 2 E
    TSIN02 Internetworking 6 A1N 1 E
    TSIT02 Computer Security 6 G2F 2 E
    TSKS33 Complex networks and big data 6 A1N 2 E
    TSKS35 Information and Communications Engineering 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    TSKS38 Distribuerad informationsbehandling och maskininlärning 6 A1N 2 E
    TSRT78 Digital Signal Processing 6 A1F 2 E
    Specialisation: Applied Physics - Materials and Nano Physics
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TFFM08 Experimental Physics 6* A1N 1 C
    *The course is divided into several semesters and/or periods
    TFFY54 Quantum Mechanics 6 A1N 2 E
    TFYA43 Nanotechnology 6 G2F 3 E
    TFYA97 Modern Optics 6 A1N 4 E
    Period 2
    TFFM08 Experimental Physics 6* A1N 3 C
    *The course is divided into several semesters and/or periods
    TFYM01 Solid State Physics I 6 A1F 2 C
    TFYA37 Soft Condensed Matter Physics 6 A1N 1 E
    Specialisation: Applied Physics - Theory, Modelling and Computation
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TFFY54 Quantum Mechanics 6 A1N 2 C
    TFYA18 Mathematical Methods of Physics 6 A1N 3 C
    TFYA40 Analytical Mechanics 6* A1N 1 C
    *The course is divided into several semesters and/or periods
    TATA75 Theory of Relativity 6* A1F - E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    Period 2
    TFYA40 Analytical Mechanics 6* A1N 3 C
    *The course is divided into several semesters and/or periods
    TFYA90 Computational Physics 6 A1F 4 C
    TATA75 Theory of Relativity 6* A1F 3 E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    TDDE01 Machine Learning 6 A1N 1 E
    TFYM01 Solid State Physics I 6 A1F 2 E
    Specialisation: Biomedical Engineering
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TBME04 Anatomy and Physiology 6 G2F 3 C
    TBMI19 Medical Information Systems 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TSDT14 Signal Theory 6 A1N 1 E
    Period 2
    TBMT01 Biomedical Signal Processing 6 A1F 1 C
    TBME03 Biochemistry and Cell Biology 6 G2F 2 E
    TBMI19 Medical Information Systems 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    Specialisation: Communication
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSDT14 Signal Theory 6 A1N 1 C
    TSKS15 Detection and Estimation of Signals 6 A1N 4 C
    TSKS35 Information and Communications Engineering 6* A1N 3 C
    *The course is divided into several semesters and/or periods
    Period 2
    TSKS35 Information and Communications Engineering 6* A1N 4 C
    *The course is divided into several semesters and/or periods
    TDDE01 Machine Learning 6 A1N 1 E
    TSEK02 Radio Electronics 6 A1N 3 E
    TSIN02 Internetworking 6 A1N 1 E
    TSKS33 Complex networks and big data 6 A1N 2 E
    TSRT78 Digital Signal Processing 6 A1F 2 E
    Specialisation: Computer Vision and Signal Analysis
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSBB06 Multidimensional Signal Analysis 6* A1N 2 C
    *The course is divided into several semesters and/or periods
    TSBB08 Digital Image Processing 6 A1N 4 C
    TSDT14 Signal Theory 6 A1N 1 C
    Period 2
    TSBB06 Multidimensional Signal Analysis 6* A1N 3 C
    *The course is divided into several semesters and/or periods
    TSBB21 Computational Photography 6 A1F 4 C
    TDDD56 Multicore and GPU Programming 6 A1N 2 E
    Specialisation: Control and Information Systems
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSRT92 Modelling and Learning for Dynamical Systems 6 A1N 3 C
    TSDT14 Signal Theory 6 A1N 1 E
    TSFS09 Modelling and Control of Engines and Drivelines 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    TSKS15 Detection and Estimation of Signals 6 A1N 4 E
    Period 2
    TSRT78 Digital Signal Processing 6 A1F 2 C
    TSEA81 Computer Engineering and Real-time Systems 6 A1N 4 C/E
    TSFS02 Vehicle Dynamics and Control 6 A1N 1 E
    TSFS09 Modelling and Control of Engines and Drivelines 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TSFS22 Fault detection and diagnosis of technical systems 6 A1X 2 E
    TSKS33 Complex networks and big data 6 A1N 2 E
    Specialisation: Data Science and Machine Intelligence
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSBB06 Multidimensional Signal Analysis 6* A1N 2 C
    *The course is divided into several semesters and/or periods
    TSKS15 Detection and Estimation of Signals 6 A1N 4 C
    TSRT92 Modelling and Learning for Dynamical Systems 6 A1N 3 C
    Period 2
    TSBB06 Multidimensional Signal Analysis 6* A1N 3 C
    *The course is divided into several semesters and/or periods
    TSKS33 Complex networks and big data 6 A1N 2 C
    TDDE01 Machine Learning 6 A1N 1 C/E
    Specialisation: Electronics
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSKS35 Information and Communications Engineering 6* A1N 3 C
    *The course is divided into several semesters and/or periods
    TSTE86 Digital Integrated Circuits 6 A1N 2 C
    TSTE12 Design of Digital Systems 6 A1N 3 E
    Period 2
    TSEK37 Analog CMOS Integrated Circuits 6 A1F 1 C
    TSKS35 Information and Communications Engineering 6* A1N 4 C
    *The course is divided into several semesters and/or periods
    TSEA26 Design of Embedded DSP Processor 6 A1N 2 E
    TSEK02 Radio Electronics 6 A1N 3 E
    Specialisation: Engineering Mathematics
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TAMS32 Stochastic Processes 6 A1N 1 C
    TATM85 Functional Analysis 6* A1N 2 C
    *The course is divided into several semesters and/or periods
    TAOP34 Large Scale Optimization 6 A1N 3 E
    TATA32 Discrete Mathematics 8* G1N 2 E
    *The course is divided into several semesters and/or periods
    TATA55 Abstract Algebra 6* G2F 3 E
    *The course is divided into several semesters and/or periods
    TDDD08 Logic Programming 6 A1N 4 E
    TFYA18 Mathematical Methods of Physics 6 A1N 3 E
    TSKS15 Detection and Estimation of Signals 6 A1N 4 E
    Period 2
    TATM85 Functional Analysis 6* A1N 2 C
    *The course is divided into several semesters and/or periods
    TAOP04 Mathematical Optimization 6 A1N 4 E
    The course is only offered every second year, even years.
    TATA32 Discrete Mathematics 8* G1N 3 E
    *The course is divided into several semesters and/or periods
    TATA55 Abstract Algebra 6* G2F 3 E
    *The course is divided into several semesters and/or periods
    TATA71 Ordinary Differential Equations and Dynamical Systems 6 G2F 2 E
    Specialisation: Financial Mathematics
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TAMS32 Stochastic Processes 6 A1N 1 C
    TPPE17 Corporate Finance 6 G2F 4 C
    TATM85 Functional Analysis 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    Period 2
    TAOP04 Mathematical Optimization 6 A1N 4 E
    The course is only offered every second year, even years.
    TATM85 Functional Analysis 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TPPE29 Financial Markets and Instruments 6 A1N 2 E
    Specialisation: Mechanics and Control
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TMMV11 Fluid Mechanics and Heat Transfer 6 G2F 2 E
    TSFS09 Modelling and Control of Engines and Drivelines 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    TSRT92 Modelling and Learning for Dynamical Systems 6 A1N 3 E
    Period 2
    TSEA81 Computer Engineering and Real-time Systems 6 A1N 4 C
    TSFS02 Vehicle Dynamics and Control 6 A1N 1 E
    TSFS09 Modelling and Control of Engines and Drivelines 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TSFS22 Fault detection and diagnosis of technical systems 6 A1X 2 E
    TSRT78 Digital Signal Processing 6 A1F 2 E
    Specialisation: Photonics and Quantum Technology
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TFFY54 Quantum Mechanics 6 A1N 2 C
    TFYA97 Modern Optics 6 A1N 4 C
    TFFM08 Experimental Physics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    Period 2
    TFFM08 Experimental Physics 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TFYB01 Advanced Electromagnetics 6 A1N 2 E
    TSIN02 Internetworking 6 A1N 1 E
    Specialisation: System-on-Chip
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSTE12 Design of Digital Systems 6 A1N 3 C
    TSTE86 Digital Integrated Circuits 6 A1N 2 C
    TDTS06 Computer Networks 6 G2F 1 E
    TSKS35 Information and Communications Engineering 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    Period 2
    TSEA26 Design of Embedded DSP Processor 6 A1N 2 C
    TSEA81 Computer Engineering and Real-time Systems 6 A1N 4 E
    TSEK37 Analog CMOS Integrated Circuits 6 A1F 1 E
    TSKS35 Information and Communications Engineering 6* A1N 4 E
    *The course is divided into several semesters and/or periods

    Semester 8 Spring 2026

    Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TFYA85 Alternative Energy Sources and their Applications 6 G2F 4 C/E
    TGTU94 Technology and Ethics 6 G1F 1 C/E
    TKMJ15 Environmental Management Strategies 6 G1F 3 C/E
    TAMS29 Stochastic Processes Applied to Financial Models 6 A1F 3 E
    TANA15 Numerical Linear Algebra 6 A1N 1 E
    TATA27 Partial Differential Equations 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    TATA53 Linear Algebra, Honours Course 6* G2F 3 E
    *The course is divided into several semesters and/or periods
    TATA54 Number Theory 6* G2F 3 E
    *The course is divided into several semesters and/or periods
    TATA66 Fourier and Wavelet Analysis 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    TATA78 Complex Analysis, second course 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    TBMI26 Neural Networks and Learning Systems 6 A1N 2 E
    TBMT09 Physiological Pressures and Flows 6 A1N 1 E
    TBMT59 Medical image formation 6 A1F 3 E
    TDDD20 Design and Analysis of Algorithms 6 A1N 3 E
    TDDD41 Data Mining - Clustering and Association Analysis 6 A1N 3 E
    TDDD95 Algorithmic Problem Solving 6* A1F 1 E
    *The course is divided into several semesters and/or periods
    TDDE09 Natural Language Processing 6 A1F 2 E
    TDTS07 System Design and Methodology 6 A1N 1 E
    TFYA17 Advanced Project Work in Applied Physics 6* A1F - E
    *The course is divided into several semesters and/or periods
    TFYA38 Optoelectronics 6 A1N 3 E
    TFYB03 Advanced Quantum Mechanics 6 A1F 4 E
    TFYM02 Solid State Physics II 6 A1F 2 E
    TFYM04 Growth and characterization of nanomaterials 6* A1F 1 E
    *The course is divided into several semesters and/or periods
    TGTU91 Oral and Written Communication 6 G1F 2 E
    TINT02 Intercultural Competence and Intercultural Communication, continued course 6* G2F - E
    *The course is divided into several semesters and/or periods
    TMES21 Industrial Energy Systems 6 A1F 3 E
    TMMS30 Multi Body Dynamics and Robotics 6 A1N 1 E
    TNM111 Information Visualization 6 A1N 3 E
    TPPE32 Financial Risk Management 6 A1F 2 E
    TSBB34 Computer Vision for Video Analysis 6 A1N 1 E
    TSBK07 Computer Graphics 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    TSBK08 Data Compression 6 A1N 2 E
    TSEK06 VLSI Design 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TSEK38 Radio Frequency Transceiver Design 6 A1F 2 E
    TSFS04 Electrical Drives 6 G2F 4 E
    TSIT12 Quantum Electronics and Quantum Optics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSKS36 Digital and Wireless Communications 6 A1F 4 E
    TSRT07 Industrial Control Systems 6 A1N 2 E
    TSRT09 Control Theory 6 A1N 3 E
    TSTE14 Analog Filters 6 A1N 2 E
    The course is not offered 2020.
    TSTE93 Analog Circuits 6* G2F 4 E
    *The course is divided into several semesters and/or periods
    Period 2
    TEAE01 Industrial Economics, Basic Course 6 G1F 2 C/E
    TEIO94 Entrepreneurship and Idea Development 6 G2F 2 C/E
    TRTE21 Chemistry for purification and recycling 6 G1N 2 C/E
    TANA31 Computational Methods for Ordinary and Partial Differential Equations 6 A1N 2 E
    TAOP24 Optimization, Advanced Course 6 G2F 1 E
    TAOP87 Applied Optimization Project Course 6 A1N 3 E
    The course is given every second year, odd years.
    TATA27 Partial Differential Equations 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    TATA53 Linear Algebra, Honours Course 6* G2F 3 E
    *The course is divided into several semesters and/or periods
    TATA54 Number Theory 6* G2F 1 E
    *The course is divided into several semesters and/or periods
    TATA66 Fourier and Wavelet Analysis 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    TATA78 Complex Analysis, second course 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    TBME08 Biomedical Modeling and Simulation 6 A1N 3 E
    TBMT26 Technology in Intensive Care and Surgery 6 A1N 1 E
    TDDD12 Database Technology 6 G2F 4 E
    TDDD95 Algorithmic Problem Solving 6* A1F 4 E
    *The course is divided into several semesters and/or periods
    TDDE07 Bayesian Learning 6 A1F 2 E
    TDDE31 Big Data Analytics 6 A1F 3 E
    TDDE65 Programming of Parallel Computers - Methods and Tools 6 A1N 2 E
    TDDE70 Deep Learning 6 A1F 1 E
    TEAE13 Civil and Commercial Law 6 G1F 2 E
    TEAE20 Intellectual Property Rights 6 G1F 1 E
    TFMT19 Chemical Sensor Systems 6 A1N 4 E
    TFYA17 Advanced Project Work in Applied Physics 6* A1F - E
    *The course is divided into several semesters and/or periods
    TFYB11 Materials Science 6 A1N 3 E
    TFYM04 Growth and characterization of nanomaterials 6* A1F 1 E
    *The course is divided into several semesters and/or periods
    TGTU84 Diversity and Gender in Engineering 6 G1F 4 E
    TGTU95 Philosophy of Science and Technology 6 G1F 4 E
    TINT02 Intercultural Competence and Intercultural Communication, continued course 6* G2F - E
    *The course is divided into several semesters and/or periods
    TKMJ29 Resource Efficient Products 6 A1N 1 E
    TNM079 Modelling and Animation 6 A1N 2 E
    TPPE33 Portfolio Management 6 A1N 2 E
    TSBB33 3D Computer Vision 6 A1N 3 E
    TSBK07 Computer Graphics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSBK38 Image and Audio Compression 6 A1N 4 E
    TSEK06 VLSI Design 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TSFS03 Vehicle Propulsion Systems 6 A1N 4 E
    TSFS19 Battery Systems 6 A1N 2 E
    TSIT11 Quantum Algorithms and Quantum Information 6 A1N 3 E
    TSIT12 Quantum Electronics and Quantum Optics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSKS14 Multiple Antenna Communications 6 A1F 3 E
    TSKS16 Signal Processing for Communications 6 A1N 1 E
    TSRT14 Sensor Fusion 6 A1N 3 E
    TSTE06 Digital Filters 6 A1N 3 E
    The course is not offered 2020.
    TSTE87 Application-Specific Integrated Circuits 6 A1N 2 E
    TSTE93 Analog Circuits 6* G2F 1 E
    *The course is divided into several semesters and/or periods
    Specialisation: Applied Physics - Materials and Nano Physics — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TFYM04 Growth and characterization of nanomaterials 6* A1F 1 C
    *The course is divided into several semesters and/or periods
    TFYA17 Advanced Project Work in Applied Physics 6* A1F - E
    *The course is divided into several semesters and/or periods
    TFYA38 Optoelectronics 6 A1N 3 E
    TFYM02 Solid State Physics II 6 A1F 2 E
    Period 2
    TFYB11 Materials Science 6 A1N 3 C
    TFYM04 Growth and characterization of nanomaterials 6* A1F 1 C
    *The course is divided into several semesters and/or periods
    TFMT19 Chemical Sensor Systems 6 A1N 4 E
    TFYA17 Advanced Project Work in Applied Physics 6* A1F - E
    *The course is divided into several semesters and/or periods
    Specialisation: Applied Physics - Theory, Modelling and Computation — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TATA27 Partial Differential Equations 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    TBMI26 Neural Networks and Learning Systems 6 A1N 2 E
    TFYA17 Advanced Project Work in Applied Physics 6* A1F - E
    *The course is divided into several semesters and/or periods
    TFYB03 Advanced Quantum Mechanics 6 A1F 4 E
    TFYM02 Solid State Physics II 6 A1F 2 E
    TSBK07 Computer Graphics 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    Period 2
    TATA27 Partial Differential Equations 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    TFYA17 Advanced Project Work in Applied Physics 6* A1F - E
    *The course is divided into several semesters and/or periods
    TFYB11 Materials Science 6 A1N 3 E
    TSBK07 Computer Graphics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSIT11 Quantum Algorithms and Quantum Information 6 A1N 3 E
    Specialisation: Biomedical Engineering — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TBMT09 Physiological Pressures and Flows 6 A1N 1 C
    TBMT59 Medical image formation 6 A1F 3 C
    TBMI26 Neural Networks and Learning Systems 6 A1N 2 E
    Period 2
    TBME08 Biomedical Modeling and Simulation 6 A1N 3 E
    TBMT26 Technology in Intensive Care and Surgery 6 A1N 1 E
    Specialisation: Communication — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TBMI26 Neural Networks and Learning Systems 6 A1N 2 E
    TSBK08 Data Compression 6 A1N 2 E
    TSEK38 Radio Frequency Transceiver Design 6 A1F 2 E
    TSKS36 Digital and Wireless Communications 6 A1F 4 E
    Period 2
    TSBK38 Image and Audio Compression 6 A1N 4 E
    TSKS14 Multiple Antenna Communications 6 A1F 3 E
    TSKS16 Signal Processing for Communications 6 A1N 1 E
    Specialisation: Computer Vision and Signal Analysis — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TBMI26 Neural Networks and Learning Systems 6 A1N 2 E
    TBMT59 Medical image formation 6 A1F 3 E
    TNM111 Information Visualization 6 A1N 3 E
    TSBB34 Computer Vision for Video Analysis 6 A1N 1 E
    TSBK07 Computer Graphics 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    TSBK08 Data Compression 6 A1N 2 E
    Period 2
    TSBB33 3D Computer Vision 6 A1N 3 E
    TSBK07 Computer Graphics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSBK38 Image and Audio Compression 6 A1N 4 E
    TSRT14 Sensor Fusion 6 A1N 3 E
    Specialisation: Control and Information Systems — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSRT07 Industrial Control Systems 6 A1N 2 C
    TSRT09 Control Theory 6 A1N 3 C
    Period 2
    TDDD12 Database Technology 6 G2F 4 C/E
    TDDE65 Programming of Parallel Computers - Methods and Tools 6 A1N 2 E
    TSRT14 Sensor Fusion 6 A1N 3 E
    Specialisation: Data Science and Machine Intelligence — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TDDD20 Design and Analysis of Algorithms 6 A1N 3 C/E
    TDDD95 Algorithmic Problem Solving 6* A1F 1 C/E
    *The course is divided into several semesters and/or periods
    TANA15 Numerical Linear Algebra 6 A1N 1 E
    TBMI26 Neural Networks and Learning Systems 6 A1N 2 E
    TDDD38 Advanced Programming in C++ 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TDDD41 Data Mining - Clustering and Association Analysis 6 A1N 3 E
    TDDE09 Natural Language Processing 6 A1F 2 E
    Period 2
    TDDD95 Algorithmic Problem Solving 6* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TAOP24 Optimization, Advanced Course 6 G2F 1 E
    TDDD38 Advanced Programming in C++ 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TDDE07 Bayesian Learning 6 A1F 2 E
    TDDE31 Big Data Analytics 6 A1F 3 E
    TDDE65 Programming of Parallel Computers - Methods and Tools 6 A1N 2 E
    TSRT14 Sensor Fusion 6 A1N 3 E
    Specialisation: Electronics — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSEK06 VLSI Design 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSEK38 Radio Frequency Transceiver Design 6 A1F 2 E
    TSTE14 Analog Filters 6 A1N 2 E
    The course is not offered 2020.
    TSTE93 Analog Circuits 6* G2F 4 E
    *The course is divided into several semesters and/or periods
    Period 2
    TSTE87 Application-Specific Integrated Circuits 6 A1N 2 C
    TSEK06 VLSI Design 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSKS16 Signal Processing for Communications 6 A1N 1 E
    TSTE06 Digital Filters 6 A1N 3 E
    The course is not offered 2020.
    TSTE93 Analog Circuits 6* G2F 1 E
    *The course is divided into several semesters and/or periods
    Specialisation: Engineering Mathematics — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TANA15 Numerical Linear Algebra 6 A1N 1 C
    TATA27 Partial Differential Equations 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    TATA66 Fourier and Wavelet Analysis 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    TATA78 Complex Analysis, second course 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    TSRT09 Control Theory 6 A1N 3 E
    Period 2
    TAOP24 Optimization, Advanced Course 6 G2F 1 C
    TATA27 Partial Differential Equations 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    TATA66 Fourier and Wavelet Analysis 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    TATA78 Complex Analysis, second course 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    The course is given every second year, odd years.
    Specialisation: Financial Mathematics — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TAMS29 Stochastic Processes Applied to Financial Models 6 A1F 3 C
    TANA15 Numerical Linear Algebra 6 A1N 1 C
    TPPE32 Financial Risk Management 6 A1F 2 E
    Period 2
    TAOP24 Optimization, Advanced Course 6 G2F 1 E
    TDDD12 Database Technology 6 G2F 4 E
    TPPE33 Portfolio Management 6 A1N 2 E
    Specialisation: Mechanics and Control — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TMMS30 Multi Body Dynamics and Robotics 6 A1N 1 E
    TSFS04 Electrical Drives 6 G2F 4 E
    TSRT07 Industrial Control Systems 6 A1N 2 E
    TSRT09 Control Theory 6 A1N 3 E
    Period 2
    TSFS03 Vehicle Propulsion Systems 6 A1N 4 E
    TSFS19 Battery Systems 6 A1N 2 E
    TSRT14 Sensor Fusion 6 A1N 3 E
    Specialisation: Photonics and Quantum Technology — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TFYA38 Optoelectronics 6 A1N 3 C
    TSIT12 Quantum Electronics and Quantum Optics 6* A1N 1 C
    *The course is divided into several semesters and/or periods
    TFYB03 Advanced Quantum Mechanics 6 A1F 4 E
    Period 2
    TSIT12 Quantum Electronics and Quantum Optics 6* A1N 1 C
    *The course is divided into several semesters and/or periods
    TSIT11 Quantum Algorithms and Quantum Information 6 A1N 3 E
    Specialisation: System-on-Chip — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TDTS07 System Design and Methodology 6 A1N 1 C
    TSEK06 VLSI Design 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSBK07 Computer Graphics 6* A1N 4 E
    *The course is divided into several semesters and/or periods
    Period 2
    TSEK06 VLSI Design 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TEAE20 Intellectual Property Rights 6 G1F 1 E
    TSBK07 Computer Graphics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSKS16 Signal Processing for Communications 6 A1N 1 E
    TSTE06 Digital Filters 6 A1N 3 E
    The course is not offered 2020.
    TSTE87 Application-Specific Integrated Circuits 6 A1N 2 E

    Semester 9 Autumn 2026

    Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TAMS39 Multivariate Statistical Methods 6 A1N 4 E
    The course is given every second year, odd years.
    TATA32 Discrete Mathematics 8* G1N 2 E
    *The course is divided into several semesters and/or periods
    TATA55 Abstract Algebra 6* G2F 3 E
    *The course is divided into several semesters and/or periods
    TATA62 Project - Applied Mathematics 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TATA75 Theory of Relativity 6* A1F - E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    TBMT14 Biomedical Engineering - Project Course 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TBMT57 Biomedical Optics 6 A1F 1 E
    TDDC88 Software Engineering 12* A1N 1 E
    *The course is divided into several semesters and/or periods
    TDDE15 Advanced Machine Learning 6 A1F 1 E
    TFKE59 Fundamentals of Chemistry 6 G1N 2 E
    TFYA40 Analytical Mechanics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TFYA99 Project Course in Applied Physics, CDIO 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TFYM03 Nanophysics 6 A1F 3 E
    TMMV01 Aerodynamics 6 A1N 3 E
    TNE071 Microwave Engineering 6 A1N 1 E
    The course is given partially as distance learning studies.
    TNE089 Electromagnetic Compatibility (EMC) and Printed Circuit Board (PCB) Design 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TNM067 Scientific Visualization 6 A1N 3 E
    TPPE53 Financial Valuation Methodology 6 A1F 2 E
    TSBB11 Images and Graphics, Project Course CDIO 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TSBB19 Machine Learning for Computer Vision 6 A1N 2 E
    TSBK03 Advanced Game Programming 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSEA84 Digital Design Project 6* A1F 1 E
    *The course is divided into several semesters and/or periods
    TSEK03 Radio Frequency Integrated Circuits 6 A1F 2 E
    TSFS12 Autonomous Vehicles - Planning, Control, and Learning Systems 6 A1N 1 E
    TSIN01 Information Networks 6 A1N 3 E
    TSIT03 Cryptology 6 A1N 2 E
    TSIT13 Quantum Communication 6 A1N 1 E
    TSKS12 Modern Channel Coding, Inference and Learning 6 A1N 1 E
    TSKS23 Project Course in Signal Processing, Communications and Networking, CDIO 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TSRT10 Automatic Control - Project Course 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TSTE28 Power Electronics 6 A1N 3 E
    Period 2
    TATA32 Discrete Mathematics 8* G1N 3 E
    *The course is divided into several semesters and/or periods
    TATA55 Abstract Algebra 6* G2F 3 E
    *The course is divided into several semesters and/or periods
    TATA62 Project - Applied Mathematics 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TATA71 Ordinary Differential Equations and Dynamical Systems 6 G2F 2 E
    TATA75 Theory of Relativity 6* A1F 3 E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    TBMI02 Medical Image Analysis 6 A1N 1 E
    TBMT14 Biomedical Engineering - Project Course 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TDDC88 Software Engineering 12* A1N 1 E
    *The course is divided into several semesters and/or periods
    TDDD37 Database Technology 6 G2F 1 E
    TDDD49 Programming in C# and .NET Framework 4 G2F 3 E
    TDDD56 Multicore and GPU Programming 6 A1N 2 E
    TDDD89 Scientific Method 6 A1F 3 E
    TDDE01 Machine Learning 6 A1N 1 E
    TDDE16 Text Mining 6 A1F 2 E
    TFYA39 Semiconductor Technology 6 A1N 3 E
    TFYA40 Analytical Mechanics 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TFYA90 Computational Physics 6 A1F 4 E
    TFYA99 Project Course in Applied Physics, CDIO 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TFYB02 Elementary Particles and Quantum Fields 6 A1F 1 E
    TMME50 Flight Mechanics 6 A1N 2 E
    TNE083 Antenna Theory 6 A1F 2 E
    The course is given partially as distance learning studies.
    TNE089 Electromagnetic Compatibility (EMC) and Printed Circuit Board (PCB) Design 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TNM116 eXtended Reality (XR) - Principles and Programming 6 A1N 2 E
    TPPE61 Financial Optimization 6 A1F 2 E
    TSBB11 Images and Graphics, Project Course CDIO 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TSBK03 Advanced Game Programming 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSEA26 Design of Embedded DSP Processor 6 A1N 2 E
    TSEA84 Digital Design Project 6* A1F 3 E
    *The course is divided into several semesters and/or periods
    TSEA85 Hardware Design for Machine Learning Acceleration 6 A1F 1 E
    TSEK07 Test and measurement of integrated circuits 6 A1F 1 E
    TSKS23 Project Course in Signal Processing, Communications and Networking, CDIO 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TSRT08 Optimal Control 6 A1N 3 E
    TSRT10 Automatic Control - Project Course 12* A1F 4 E
    *The course is divided into several semesters and/or periods
    TSTE26 Powergrid and Technology for Renewable Production 6 A1N 4 E
    TSTE85 Low Power Electronics 6 A1N 2 E
    Specialisation: Applied Physics - Materials and Nano Physics — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TFYA99 Project Course in Applied Physics, CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TFYM03 Nanophysics 6 A1F 3 E
    Period 2
    TFYA99 Project Course in Applied Physics, CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TFYA39 Semiconductor Technology 6 A1N 3 E
    TFYA90 Computational Physics 6 A1F 4 E
    Specialisation: Applied Physics - Theory, Modelling and Computation — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TFYA40 Analytical Mechanics 6* A1N 1 C
    *The course is divided into several semesters and/or periods
    TFYA99 Project Course in Applied Physics, CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    Period 2
    TFYA40 Analytical Mechanics 6* A1N 3 C
    *The course is divided into several semesters and/or periods
    TFYA99 Project Course in Applied Physics, CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TFYB01 Advanced Electromagnetics 6 A1N 2 E
    TFYB02 Elementary Particles and Quantum Fields 6 A1F 1 E
    Specialisation: Biomedical Engineering — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TBMT14 Biomedical Engineering - Project Course 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TAMS39 Multivariate Statistical Methods 6 A1N 4 E
    The course is given every second year, odd years.
    TATM38 Mathematical Models in Biology 6 A1N 3 E
    TBMT57 Biomedical Optics 6 A1F 1 E
    Period 2
    TBMT14 Biomedical Engineering - Project Course 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TBMI02 Medical Image Analysis 6 A1N 1 E
    Specialisation: Communication — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSIN01 Information Networks 6 A1N 3 C
    TSKS23 Project Course in Signal Processing, Communications and Networking, CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TSEK03 Radio Frequency Integrated Circuits 6 A1F 2 E
    TSIT03 Cryptology 6 A1N 2 E
    TSKS12 Modern Channel Coding, Inference and Learning 6 A1N 1 E
    Period 2
    TSKS23 Project Course in Signal Processing, Communications and Networking, CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TSKS38 Distribuerad informationsbehandling och maskininlärning 6 A1N 2 E
    Specialisation: Computer Vision and Signal Analysis — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSBB11 Images and Graphics, Project Course CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TNM067 Scientific Visualization 6 A1N 3 E
    TSBB19 Machine Learning for Computer Vision 6 A1N 2 E
    TSBK03 Advanced Game Programming 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSKS15 Detection and Estimation of Signals 6 A1N 4 E
    Period 2
    TSBB11 Images and Graphics, Project Course CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TBMI02 Medical Image Analysis 6 A1N 1 E
    TDDE01 Machine Learning 6 A1N 1 E
    TNA010 Matrix Methods for AI 6 G2F 2 E
    TNM116 eXtended Reality (XR) - Principles and Programming 6 A1N 2 E
    TSBK03 Advanced Game Programming 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSRT78 Digital Signal Processing 6 A1F 2 E
    Specialisation: Control and Information Systems — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TATA62 Project - Applied Mathematics 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSRT10 Automatic Control - Project Course 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TDTS06 Computer Networks 6 G2F 1 E
    TSFS12 Autonomous Vehicles - Planning, Control, and Learning Systems 6 A1N 1 E
    Period 2
    TATA62 Project - Applied Mathematics 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSRT10 Automatic Control - Project Course 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSRT08 Optimal Control 6 A1N 3 E
    Specialisation: Data Science and Machine Intelligence — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSBB11 Images and Graphics, Project Course CDIO 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSKS23 Project Course in Signal Processing, Communications and Networking, CDIO 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TAMS39 Multivariate Statistical Methods 6 A1N 4 E
    The course is given every second year, odd years.
    TAOP34 Large Scale Optimization 6 A1N 3 E
    TDDE15 Advanced Machine Learning 6 A1F 1 E
    TSBB06 Multidimensional Signal Analysis 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TSBB08 Digital Image Processing 6 A1N 4 E
    TSDT14 Signal Theory 6 A1N 1 E
    TSKS12 Modern Channel Coding, Inference and Learning 6 A1N 1 E
    Period 2
    TDDD89 Scientific Method 6 A1F 3 C
    TSBB11 Images and Graphics, Project Course CDIO 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSKS23 Project Course in Signal Processing, Communications and Networking, CDIO 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TBMI02 Medical Image Analysis 6 A1N 1 E
    TDDD37 Database Technology 6 G2F 1 E
    TDDE16 Text Mining 6 A1F 2 E
    TSBB06 Multidimensional Signal Analysis 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TSKS38 Distribuerad informationsbehandling och maskininlärning 6 A1N 2 E
    TSRT78 Digital Signal Processing 6 A1F 2 E
    Specialisation: Electronics — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TNE071 Microwave Engineering 6 A1N 1 E
    The course is given partially as distance learning studies.
    TNE089 Electromagnetic Compatibility (EMC) and Printed Circuit Board (PCB) Design 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TSEA84 Digital Design Project 6* A1F 1 E
    *The course is divided into several semesters and/or periods
    TSEK03 Radio Frequency Integrated Circuits 6 A1F 2 E
    TSTE28 Power Electronics 6 A1N 3 E
    Period 2
    TSEK07 Test and measurement of integrated circuits 6 A1F 1 C
    TNE083 Antenna Theory 6 A1F 2 E
    The course is given partially as distance learning studies.
    TNE089 Electromagnetic Compatibility (EMC) and Printed Circuit Board (PCB) Design 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSEA26 Design of Embedded DSP Processor 6 A1N 2 E
    TSEA84 Digital Design Project 6* A1F 3 E
    *The course is divided into several semesters and/or periods
    TSEA85 Hardware Design for Machine Learning Acceleration 6 A1F 1 E
    TSTE26 Powergrid and Technology for Renewable Production 6 A1N 4 E
    TSTE85 Low Power Electronics 6 A1N 2 E
    Specialisation: Engineering Mathematics — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TATA62 Project - Applied Mathematics 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSRT10 Automatic Control - Project Course 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TATA75 Theory of Relativity 6* A1F - E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    TATM38 Mathematical Models in Biology 6 A1N 3 E
    TDDD38 Advanced Programming in C++ 6* A1N 2 E
    *The course is divided into several semesters and/or periods
    TFYA40 Analytical Mechanics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TPPE53 Financial Valuation Methodology 6 A1F 2 E
    Period 2
    TATA62 Project - Applied Mathematics 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TSRT10 Automatic Control - Project Course 12* A1F 4 C/E
    *The course is divided into several semesters and/or periods
    TATA71 Ordinary Differential Equations and Dynamical Systems 6 G2F 2 E
    TATA75 Theory of Relativity 6* A1F 3 E
    *The course is divided into several semesters and/or periods
    The course is only offered every second year, even years.
    TDDD38 Advanced Programming in C++ 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TFYA40 Analytical Mechanics 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TPPE61 Financial Optimization 6 A1F 2 E
    Specialisation: Financial Mathematics — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TATA62 Project - Applied Mathematics 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TPPE53 Financial Valuation Methodology 6 A1F 2 C
    Period 2
    TATA62 Project - Applied Mathematics 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TPPE61 Financial Optimization 6 A1F 2 C
    Specialisation: Mechanics and Control — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TSRT10 Automatic Control - Project Course 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TFYA40 Analytical Mechanics 6* A1N 1 E
    *The course is divided into several semesters and/or periods
    TSFS12 Autonomous Vehicles - Planning, Control, and Learning Systems 6 A1N 1 E
    Period 2
    TSRT10 Automatic Control - Project Course 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TFYA40 Analytical Mechanics 6* A1N 3 E
    *The course is divided into several semesters and/or periods
    TMME50 Flight Mechanics 6 A1N 2 E
    TSRT08 Optimal Control 6 A1N 3 E
    Specialisation: Photonics and Quantum Technology — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TFYA99 Project Course in Applied Physics, CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TBMT57 Biomedical Optics 6 A1F 1 E
    TFYM03 Nanophysics 6 A1F 3 E
    TSIT03 Cryptology 6 A1N 2 E
    TSIT13 Quantum Communication 6 A1N 1 E
    Period 2
    TFYA99 Project Course in Applied Physics, CDIO 12* A1F 4 C
    *The course is divided into several semesters and/or periods
    TSIT02 Computer Security 6 G2F 2 E
    Specialisation: System-on-Chip — Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TDTS08 Advanced Computer Architecture 6 A1N 2 E
    TSEA84 Digital Design Project 6* A1F 1 E
    *The course is divided into several semesters and/or periods
    Period 2
    TDDD56 Multicore and GPU Programming 6 A1N 2 E
    TSEA84 Digital Design Project 6* A1F 3 E
    *The course is divided into several semesters and/or periods
    TSEA85 Hardware Design for Machine Learning Acceleration 6 A1F 1 E
    TSEK07 Test and measurement of integrated circuits 6 A1F 1 E
    TSIT02 Computer Security 6 G2F 2 E
    TSTE85 Low Power Electronics 6 A1N 2 E

    Semester 10 Spring 2027

    Preliminary courses
    Course code Course name Credits Level Timetable module ECV
    Period 1
    TQXX33 Degree project - Master’s Thesis 30* A2E - C
    *The course is divided into several semesters and/or periods
    Period 2
    TQXX33 Degree project - Master’s Thesis 30* A2E - C
    *The course is divided into several semesters and/or periods

    Structure and organisation of study programmes

    The contents and design of the programmes are to be continuously revised such that new knowledge is integrated into courses and specialisations. Within one programme, several study specialisations or profiles may be available. The identities of the study specialisations or profiles and the regulations governing how these may be selected are given in the syllabus and curriculum for the particular field of study and programmes.

    The structure and organisation of the programmes are to follow specified criteria that are summarised in the syllabus for each programme.

    • The syllabus defines the aims of the study programme.
    • The curriculum, which constitutes one part of the syllabus for the field of study, gives details of the terms in which the various courses have been timetabled, and their scheduling through the academic year.
    • The course syllabus specifies, among other things, the aim and contents of the course, and the prior knowledge that a student must have, in addition to the admission requirements for the programme, in order to be able to benefit from the course.

    Qualification requirements

    The qualification requirements specified in the Higher Education Ordinance 2007 apply to students admitted after 1 July 2007. A student who has completed components of a programme after 1 July 2007 has the right to be assessed with respect to the qualification requirements specified by the Higher Education Ordinance 2007. In addition, local regulations laid down by the faculty boards and university board apply, see http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva/Examina.

    Higher Education Act Chapter 1, Section 8:

    First-cycle courses and study programmes are to develop:

    • the ability to make independent and critical assessments
    • the ability to identify, formulate and solve problems autonomously, and
    • the preparedness to deal with changes in working life.

    In addition to knowledge and skills in their field of study, students shall develop the ability to:

    • gather and interpret information at a scholarly level
    • stay abreast of the development of knowledge, and
    • communicate their knowledge to others, including those who lack specialist knowledge in the field.

    Qualifications within a study programme

    Qualification requirements that are specific to a study programme are given in the syllabus for that programme.

    Admission requirements and matriculation and postponement of matriculation

    A person who has been accepted for a study programme is to start their studies (matriculate) in the term that is specified in the decision about admission. The date and location of the compulsory matriculation procedure will be communicated to those admitted to the first term of the programme.

    Regulations concerning admission requirements, matriculation and postponement of matriculation have been laid down in the admission regulations for Linköping University, http://styrdokument.liu.se/Regelsamling/VisaBeslut/622645.

    Admission to a later part of a programme

    Admission to a part of a study programme is used here to refer to admission with the purpose of completing the programme and taking a degree. Admission to a later part of a programme may take place only if sufficient resources and space on the programme are available. Furthermore, the applicant must satisfy the entry requirements for the relevant term of the programme, as specified in http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva/Tekniska_fakulteten.

    Interruption in studies

    Notification of an interruption in studies is to be made through a web form Forms. If such a notification is not made and if the student does not do a course registration during the first term during which the interruption is to take place, the interruption will be considered to be a withdrawal. An interruption in studies must cover a complete term, and notification of interruptions can be given for a maximum of two consecutive terms. Notification of resumption of studies is to take place at the course registration for the term that follows the interruption. 

    A student who is taking an interruption in studies may during this period retake examinations. The student is responsible that registration for courses is carried out at the correct times in preparation for the resumption of studies.

    Withdrawal from a study programme

    A student who wishes to withdraw from a study programme must notify the study guidance counsellor. A student who leaves the studies without giving notification of an interruption in study and who fails to register on a course for the immediately subsequent term is considered to have withdrawn. A student who has withdrawn may return to the study programme if a vacancy is available that is not required for students returning after an interruption in study, and not required for students who are changing their location of study and/or study programme.

    Courses within a study programme

    The curriculum for the various years of a study programme specify which courses are mandatory (m), elective (e) and voluntary (v). If a student wishes to study a different combination than the one specified in the curriculum, an application must be made to the faculty programme board.

    Voluntary courses

    The course specified as voluntary (labelled with “v”) in the programme syllabus are assessed solely as voluntary courses, and credits from these may not contribute to the requirements for a degree.

    Courses from another study programme or third-cycle courses

    To include courses in a degree from another study programme or third-cycle courses, the student need to apply to and be granted this from the faculty programme board. If such a decision is not taken, such courses are regarded as voluntary courses.

    When selecting a course from another programme, the admission requirements specified in the course syllabus should be satisfied.

    Admission is granted to the extent that resources allow, provided that places are available on the course.

    Admission to third-cycle courses requires studies at Master's level, i.e. year 4-5 or admitted to a Master's programme. Information can be obtained from the relevant director of advanced studies. 

    Students taking a master’s programme in engineering

    Students taking a master’s programme in engineering can apply to take courses given in Term 7 and later terms of the programme from all engineering master’s programmes. Admission to courses at Term 7 or higher requires the possession of at least 150 credits within the programme to which the student has been admitted.

    Students taking a Bachelor of Science (Engineering)

    Students taking Bachelor of Science (Engineering) degrees may apply to take courses specified in the programme syllabuses of all Bachelor of Science (Engineering) programmes. 

    Students taking a Bachelor of Science

    Students taking Bachelor of Science degrees may apply to take courses specified in the programme syllabuses of all Bachelor of Science programmes.  

    Single-subject courses, courses from other faculties, or other Higher Education Institutions

    To include single-subject courses, courses from another faculty, or courses from other Higher Education Institutions in a degree, the student need to apply to and be granted this from the faculty programme board. 

     

    Registration for programme courses

    Registration for courses that are given as part of a study programme must be made during the specified period, which has been preliminarily set to 1-10 April for the autumn term, and 1-10 October for the spring term. Information about course registration is published on the Study councellors webpages or in programme rooms, sent to students by email, and disseminated at scheduled information meetings.

    Registration for programme courses as single-subject courses

    Admission to a programme course as a single-subject subject course may take place only if sufficient resources and space on the course are available. Furthermore, the applicant must satisfy the entry requirements for the relevant course.

    In the event of a scarcity of resources, the board of LiTH can decide to limit the possibilities of taking courses that are part of a programme as freestanding courses.

    Study planning

    Students who require support in planning their continued studies can contact the study guidance counsellor of the programme. Study planning involves the student and the study guidance counsellor together drawing up an individual plan for studies during the subsequent term. The individual plan may allow the student to deviate from the general curriculum.

    Completed first-cycle courses are a precondition for successful studies at more advanced levels. For this reason, study planning is based on giving priority to courses from earlier years of study that have not been completed. If further capacity is available, new courses may be taken.

    Study planning takes place on a regular basis if the student:

    • does not satisfy the requirements for progression to later terms. In order for a student to be able to participate in courses from later years in such cases, a decision of exemption is required.
    • does not satisfy the requirements for starting a degree project.

    Other situations in which study planning may be required:

    • A student has fallen behind during the early part of a study programme and has failed to complete several courses.
    • A student has not satisfied the entry requirements for a degree project before term 6 of an engineering degree.
    • A student has applied for admission to a later part of a programme.
    • Studies have been carried out abroad.
    • A study programme is to be resumed after an interruption.

    In these cases the study guidance counsellor supports the student in planning the continued studies, also in situations in which the student can register for the relevant courses without the need for a special decision for the continued studies.

    Part of education abroad

    Students can exchange study at LiTH for study at an institute of higher education abroad, and/or work on a degree project abroad.

    In the event that study (courses) at LiTH are exchanged for study abroad, the faculty programme director is responsible for a decision about a preliminary individual study plan, which is to be drawn up in advance. After the exchange, the student apply to credit completed courses from the exchange into their degree. The guideline for credit assessment in an exchange is that the courses should be in line with the program's orientation. 

    Regulations for entry requirements, ranking and nomination for study abroad through LiTH’s exchange agreements and for the compulsory study abroad period within Ii (Industrial Engineering and Management – International) and Yi (Applied Physics and Electrical Engineering – International) can be found at: http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva/Tekniska_fakulteten.

    Degree project for Master’s Degree in Engineering 300 credits, Master of Science (Two years), Master of Philosophy (Two years), Master of Science (One year), and master’s degrees without prefix

    General provisions for the degree project are given here. A specific faculty programme board may have supplementary regulations that are specific for a study programme. These are specified, where relevant, in the syllabus for the field of education and/or the degree project. Information about application, reflection documents, possible examiners etc. can be found at Information.

    General provisions

    To be awarded a Master’s Degree in Engineering 300 credits, Master of Science (Two years), Master of Philosophy (Two years), Master of Science (One year), or master’s degree without prefix a student must carry out an approved degree project. The components of the degree project are described in the relevant course syllabus.

    Aim

    The aim of the degree project is described in the relevant course syllabus, https://liu.se/studieinfo/en.

    Extent

    Requirements for the extent of the degree project for each type of degree are given in the syllabus of the study programme.

    Locations for a degree project

    The work is carried out in the form of:

    • an internal degree project located at one of the participating departments at LiU
    • an external degree project located at a company, government agency, or other organisation in Sweden or abroad, that an examiner has assessed is able to manage a degree project that satisfies the requirements, or
    • a degree project within an exchange agreement in association with study abroad, whereby all study results are to be credited to the student by the relevant faculty programme board.

    The main subject areas that are permitted within each study programme are described in the programme syllabus. Any individual subjects that may be relevant to the main subject area are to be determined by the relevant faculty programme board.

    The examiner for a degree project within a certain subject area are determined by the faculty programme board that is responsible for general degrees within the main subject area. An up-to-date list is given at Information.

    Degree projects within agreements relating to study abroad

    During study abroad that takes place within the framework of an agreement, the provisions of the host institute relating to degree projects are applied. The student is to consult the faculty programme board and together ensure that the proposed degree project is carried out in a main subject area that is permitted within the study programme. Approved main subject areas for degree projects are specified in the syllabus for the relevant programme.

    A certificate confirming that the degree project has been approved and a copy of the degree project thesis (in PDF format) are to be submitted to the relevant faculty programme board.

    Selection of degree project

    A degree project is to be selected in consultation with an examiner, who is also responsible that the specialisation, extent and level of the project satisfy the requirements specified in the course syllabus.

    In cases in which issues relating to work-related copyright, patenting or remuneration may arise, provisions governing these should be established in advance. A student working on a degree project may sign a confidentiality agreement in order to obtain access to confidential information necessary for the degree project. The supervisor and examiner, however, determine whether they are prepared to sign a confidentiality agreement, and thus the confidential information must not normally be of such nature that it is necessary to supervise or grade the work. The complete degree project thesis is to be published during the grading procedure, unless exceptional circumstances prevent this. If any part of the thesis should not be published, this must be approved in advance by the examiner and the relevant head of department. Note that final decisions relating to confidentiality are taken by an administrative court.

    Commencement of a degree project

    Requirements that must be satisfied before a degree project can be started are given in the currently valid course syllabus, which can be obtained in the relevant programme syllabus at https://liu.se/studieinfo/en.

    Notification of a degree project is to be carried out when the degree project starts, at Application. Registration of the degree project is to take place before work commences.

    Before the start of the degree project, the examiner is to ensure that the student satisfies the conditions for commencement of the degree project within the relevant main subject area. Support in this can be obtained from the study guidance counsellor, who checks the general requirements for starting the degree project.

    The student is also to notify the relevant department of the start of the degree project.

    Degree projects in collaboration with another student

    In cases in which two students carry out a degree project together, the contribution of each student is to be specified. The extent of the work is to correspond to the extent of two individual projects. The examiner is to ensure that each student has contributed in a satisfactory manner to the work, and that each student satisfies the requirements for achieving a Pass grade for the degree project.

    Degree projects carried out in collaboration between more than two students are not permitted.

    Examiners

    The examiner must be employed as a teacher at LiU according to the LiU Regulations for Appointments (https://styrdokument.liu.se/Regelsamling/VisaBeslut/622784). The following teachers can be appointed as examiner: Professor (including Adjunct and Visiting Professor), Associate Professor (including Adjunct), Senior Lecturer (including Adjunct and Visiting Senior Lecturer), Research Fellow, or Postdoc. The examiner must also have the expertise required to examine degree projects (for example through research, supervision or teaching) within the relevant main subject area, and be appointed by the faculty programme board. The faculty programme board can also appoint emerita/emeritus as examiner for a single thesis work.

    The examiner is to:

    • ensure before the start of the degree project that the student satisfies the conditions for commencement of the degree project within the relevant main subject area. The study guidance counsellor is to check whether the commencement criteria are satisfied and inform the examiner of this
    • check whether special admission requirements (where relevant) are satisfied, for example that the student can demonstrate a certain degree of in-depth knowledge within the field relevant for the degree project
    • determine the specialisation and principal work of the degree project, based on an assessment of whether the degree project will result in the learning outcomes of the course syllabus being satisfied
    • in conjunction with the planning report, check that the student has registered for the degree project and that the student has a supervisor
    • pass/fail the planning report
    • pass/fail the mid-way assessment
    • be responsible that the supervisor or supervisors carry out their duties
    • approve the work for presentation
    • before the presentation, check that the proposed opponent satisfies the conditions for commencement of the degree project and has attended three thesis presentations
    • pass/fail the presentation and the opposition to it
    • approve a concluding reflection document
    • ensure that a degree project that has been passed satisfies the learning outcomes of the course syllabus and other requirements, and award a grade to the degree project (either G = Pass, or U = Fail).

    In cases in which a degree project is carried out jointly by two students with different main subject areas, one examiner in each main subject area must be appointed, where this is necessary.

    Supervisors

    A student working on a degree project is to have access to an internal supervisor at the department at which the degree project has been registered. The internal supervisor is to have a degree that corresponds at least to the level of the degree project to be supervised. The internal supervisor may, in exceptional circumstances, be the same individual as the examiner. A decision of whether to allow this in a particular case is to be made by the relevant faculty programme board before the degree project is started.

    The supervisor is to ensure that the student obtains help with:

    • expert support in general questions related to methods, specialist knowledge of the subject, and writing the thesis
    • problem formulation, and setting the limits of the work
    • scheduling and planning work, and selection of appropriate methods.

    If the degree project is being carried out outside of LiTH, an external supervisor from the commissioner is to be appointed.

    Planning report

    During the first weeks of the degree project, the student is to draw up a planning report that contains:

    • a preliminary title of the degree project
    • a preliminary statement of the research question, against the background of a literature search
    • a preliminary description of the approach to be taken
    • planned literature foundation
    • a schedule for the execution of the degree project, including suggested dates for the mid-way assessment and presentation.

    Formulation of the research question is to be bounded, realistic and viewed from a perspective of societal or commercial benefit. The term “societal” is to be understood here to include universities and university colleges.

    Mid-way assessment

    Approximately half-way through the degree project, the student is to describe to the examiner at a mid-way assessment how the work is progressing relative to the planning report. The supervisor should also participate. The form of the mid-way assessment may be anything from an oral presentation to a public seminar. The conclusion of the mid-way assessment may be one of three possibilities:

    1. The work has been carried out essentially as planned, and can continue as planned. The mid-way assessment has been passed.
    2. The work has been carried out with certain deviations from the planning report. It is, however, believed that it will be possible to complete the work with minor adjustments to the formulation of the research question, approach and/or schedule. The mid-way assessment has been passed.
    3. The work has deviated from the planning report in a significant manner, and there is a risk that a Pass grade cannot be given. The mid-way assessment has been failed. A new planning report must be drawn up and a new mid-way assessment carried out.

    Reporting

    Both oral and written reports of the degree project are to be made, in Swedish or English. For the international Master's programmes, both the oral and written examination should be made in English. The faculty programme board can allow the reporting to be carried out in another language than Swedish or English.

    The oral presentation is to take place in public, unless there are exceptional circumstances that this should not be done. The written report is to be in the form of a professionally produced degree project thesis. The presentation and thesis are to follow the instructions given below.

    Presentation

    The oral presentation is to take place when the examiner considers that the work has been completed and is ready to be presented. The presentation is to take place on site at LiU at a time when other students can attend. This means that the presentation can take place on a date that the student has agreed with the examiner, normally between the re-examination period in August and midsummer, and after the student has attended three thesis presentations.

    The oral presentation is to describe the background to the problem that has been studied, describe the methods used, and present the results and conclusions. The presentation is to be at a level suitable for everyone present, not just for specialists. After the oral presentation, the student is to counter any criticism that the opponent may raise, and allow other participants to pose questions. The presentation and the opposition are to be approved by the examiner. When any required adjustments of the thesis have been made, the reflection document has been approved, and the student has functioned as an opponent for another degree project, the degree project is reported as a passed course and the credits can be used to satisfy the requirements for a qualification.

    Degree project thesis

    The written degree project report is to be professionally written and comprehensive, and it is to demonstrate a scientific approach. The report must be prepared in accordance with principles for acceptable practice when referring to sources (references or quotations for which the source is specified) when the text, images, ideas, data, etc., of other people are used. It is also to be made clear whether the author has reused his or her own text, images, ideas, data, etc. from previous examinations, such as undergraduate work, project reports, etc. (This is sometimes known as “self-plagiarism”.) A failure to specify such sources may be regarded as attempted deception during examination.

    The contents are to be easy to understand, and the way in which material is presented is important. It must describe the background to the project and the formulation of the research question. The choice of approach is to be clearly explained, and the thesis should make clear the coupling between the results and the conclusions. Commonly accepted scientific methods are to be used for processing the results. The discussion is to be comprehensive, and demonstrate that the student masters analytical thought processes. The thesis is to demonstrate good mastery of the literature in the field, and include an abstract. Theses that are principally written in Swedish should contain a summary in English. A publication-ready manuscript and a reflection document covering the work undertaken are to be submitted to the examiner within 10 days after the oral presentation. The examiner may grant an exemption from this requirement. If final versions of the required documents are not submitted as stipulated, the examiner may determine that the presentation is to be rescheduled.

    The Faculty of Science and Engineering (Institute of Technology) at Linköping University recommends that degree project theses be published.

    Opposition

    An oral opposition is to be carried out in connection with the student’s own presentation of his or her thesis, i.e. at the end of the own studies, and is to take place on site at LiU. The opposition is made on other degree projects at the same level and of the same extent as the own degree project. The opponent must also have attended three thesis presentations as a member of the audience. In a normal case, the number of opponents will be the same as the number of respondents. In exceptional cases, the examiner may decide that this is not to be the case. Acting as an opponent during the thesis presentation of another student is subject to points-based assessment as described in the course syllabus. 

    The opponent is to:

    • discuss and comment on the selection of methods, results and (where relevant) data processing, conclusions, possible alternative solutions and conclusions, and the management of literature
    • comment on the general arrangement of the degree project thesis and related, formal aspects of style, and comment on the oral presentation technique
    • illuminate the strengths and weaknesses of the thesis.

    The duration of the opposition should be approximately the same as that of the presentation, and it is to include a discussion in which the student presenting the thesis replies to and comments on the criticism raised by the opponent.

    Unless otherwise agreed, at least one week before the presentation the opponent is to present in writing to the examiner the important issues that will be discussed, and the structure of the opposition that will be taken. The opponent and the examiner discuss the structure that the opponent has drawn up.

    Attendance at presentations

    A student is to attend presentations of degree project theses as described in the course syllabus. The presentations attended must be at the same level or a higher level than the degree project of the student.

    It is advantageous that one of the presentations attended is a licenciate degree seminar or a doctoral disputation. The student is responsible for ensuring that a certification of attendance at the presentation is obtained and passed to the departmental administrator for registration in Ladok. Attendance at such presentations is a component of the degree work that is subject to points-based assessment.

    The occasions on which a student attends presentations are to be completed before the student presents the degree project thesis. The course syllabus for the degree project describes the scheduling of the attendance at presentations.

    The attendance at presentations is to take place on site at LiU. It is not possible to participate remotely. 

    Reflection document

    A document reflecting on the work that has been carried out is to be submitted to the examiner within 10 working days of the oral presentation. Instructions for preparing a reflection document can be reached through Reflection document.  

    Grades

    The degree project is graded as either Pass or Fail. In order for a student to obtain a pass grade for the degree project, all components must be completed and be awarded a pass grade.

    Right to obtain supervision

    It is expected that the student complete and pass a degree project within specified time limits. The department is required to provide supervision for a maximum of 18 months after the student has registered the degree project in Ladok. The examiner may grant additional supervision after this period in special cases. If the examiner determines that supervision is to be ended, the degree project is to be awarded a Fail grade. The examiner does not have to fail the degree project if it is considered possible that the student can finish the thesis without further supervision.

    If the degree project is awarded a Fail grade for the reason described above or for any other reason, the student is to be directed towards carrying out a further degree project. However, carrying out a new degree project means very limited opportunities for supervision.

    Quality assurance

    The relevant faculty programme board has overall responsibility for the quality of study programmes. This responsibility covers also degree projects. Quality assurance is to be carried out as determined by the faculty board.

    Exemptions

    If there are exceptional circumstances, an exemption can be granted from the above regulations.

    Exemption to replace the oral opposition with a detailed written opposition can be granted after approval by the faculty programme board when all other elements for the degree have been fulfilled, the degree project has been submitted and there are exceptional circumstances. It is the examiner who applies to the faculty programme board for an exemption for written opposition.

    Written opposition can be carried out in any of the following ways:

    • The student makes a written opposition to a work done by another student, whose examiner then examines the opposition
    • The student's examiner instructs the person in question to make a written opposition to a degree project that has already been examined by the examiner.

    In the case of a written opposition, there is no need for an initial account of the structure of the opposition.

    Exemption from conducting the oral opposition on site at LiU (and instead conducting it remotely) with reference to exceptional circumstances is given by the examiner. Examples of exceptional circumstances are the lack of a visa to come to Sweden.

    Exemption from carrying out presentation on site at LiU (and instead conducting it remotely) can be granted by the respective faculty programme board if there are exceptional circumstances. Examples of exceptional circumstances are the lack of a visa to come to Sweden.

    Degree projects (included in Term 6 of study programmes in engineering)

    General provisions

    All study programmes in engineering (with the exception of the programme in Industrial Engineering and Management – International and the programme in Applied Physics and Electrical Engineering – International) have since 2014 included an obligatory degree project. The project undertaken may also be included as part of the Bachelor of Science (Technology). During Term 6 of each programme, one or several special courses are given that constitute degree projects. The syllabuses of these courses contain course-specific provisions, which are supplemented with the general provisions given below.

    Aim

    The degree project is to contribute to general and programme-specific objectives of the study programmes in engineering being achieved. Specific learning outcomes are given in the relevant course syllabus. In addition, the degree project has also the following learning outcomes, which are common to all degree project-based courses at LiTH:

    • Knowledge of the subject
      ​After carrying out the degree project, the student is expected to master the following:
      • integrating in a systematic manner the knowledge gained during the period of study
      • applying methodological knowledge and subject-specific knowledge within the main subject area
      • assimilating the contents of relevant technical publications and relating the study to such contents.
    • Personal and professional skills
      ​After carrying out the degree project, the student is expected to possess the following skills:
      • formulating research questions and limiting the same, within a specified time schedule
      • seeking and evaluating scientific literature.
    • Working and communicating in a group
      ​After carrying out the degree project, the student is expected to possess the following skills:
      • planning, executing and presenting independent work in the form of a project carried out in a group
      • expressing oneself professionally, in writing and orally
      • critically examining and discussing independent work presented in speech and in writing.
    • Engineering fundamentals
      ​After carrying out the degree project, the student is expected to master the following:
      • creating, analysing and/or evaluating technical solutions
      • making assessments that consider relevant scientific, societal and ethical aspects.

    Degree projects undertaken while studying abroad

    During study abroad, an individual plan is to be drawn up together with the faculty programme director to determine how the requirements for a degree project in engineering can be satisfied.

    Commencing a degree project

    Before a student commences a degree project, the following requirements must be satisfied:

    • The student must have a minimum of 90 credits obtained from courses from Terms 1-4 of the programme (courses taken voluntarily are not counted). This requirement must be satisfied before the end of the third week of study period 2 of the autumn term before the degree project is to be carried out.
    • The student must have completed the subject-specific courses listed in the course syllabus for the relevant degree project course. This requirement must be satisfied before the end of the third week of study period 2 of the autumn term before the degree project is to be carried out.
    • When assessing whether the requirements have been satisfied, individual decisions (such as those taken in association with admission to subsequent parts of the programme) are to be considered.

    Registration for a degree project is carried out during the course registration period 1-10 October in the autumn before the degree project is to be undertaken. 

    Forms of examination

    The examiner for the degree project is responsible for ensuring that examination takes place as specified by the course syllabus, and, where appropriate, carries out the duties of an examiner for degree projects.

    The written report of the degree project corresponds to a degree project for a bachelor's degree. This means that it is to be managed in an equivalent manner with respect to publication, unless special circumstances apply.

    The report must be prepared in accordance with principles for acceptable practice when referring to sources (references or quotations for which the source is specified) when the text, images, ideas, data, etc., of other people are used. It is also to be made clear whether the author has reused his or her own text, images, ideas, data, etc. from previous examinations, such as undergraduate work, project reports, etc. (This is sometimes known as “self-plagiarism”.) A failure to specify such sources may be regarded as attempted deception during examination.

    In cases in which several students carry out a degree project together, the contribution of each student is to be specified. The extent of the work for each student is to correspond to that of a degree project. The examiner is to ensure that each student has contributed in a satisfactory manner to the work, and that each student satisfies the requirements for achieving a Pass grade for the degree project.

    Course syllabus

    A syllabus must be established for each course. The syllabus specifies the aim and contents of the course, and the prior knowledge that a student must have in order to be able to benefit from the course.

    Timetabling

    Courses are timetabled after a decision has been made for this course concerning its assignment to a timetable module. 

    Interruption in and deregistration from a course

    The LiU decision, Guidelines concerning confirmation of participation in education (Dnr LiU-2020-02256), states that interruptions in study are to be recorded in Ladok. Thus, all students who do not participate in a course for which they have registered must record the interruption, such that the registration on the course can be removed. Deregistration from or interrupting a course is carried out using a web-based form Forms

    Cancelled courses and changes to the course syllabus

    Courses with few participants (fewer than 10) may be cancelled or organised in a manner that differs from that stated in the course syllabus. The Dean is to deliberate and decide whether a course is to be cancelled or changed from the course syllabus. 

    Guidelines relating to examinations and examiners 

    For details, see Guidelines for education and examination for first-cycle and second-cycle education at Linköping University, Dnr LiU-2020-04501  (http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592).

    An examiner must be employed as a teacher at LiU according to the LiU Regulations for Appointments, Dnr LiU-2021-01204 (https://styrdokument.liu.se/Regelsamling/VisaBeslut/622784). For courses in second-cycle, the following teachers can be appointed as examiner: Professor (including Adjunct and Visiting Professor), Associate Professor (including Adjunct), Senior Lecturer (including Adjunct and Visiting Senior Lecturer), Research Fellow, or Postdoc. For courses in first-cycle, Assistant Lecturer (including Adjunct and Visiting Assistant Lecturer) can also be appointed as examiner in addition to those listed for second-cycle courses. In exceptional cases, a Part-time Lecturer can also be appointed as an examiner at both first- and second cycle, see Delegation of authority for the Board of Faculty of Science and Engineering.

    Forms of examination

    Principles for examination

    Written and oral examinations and digital and computer-based examinations are held at least three times a year: once immediately after the end of the course, once in August, and once (usually) in one of the re-examination periods. Examinations held at other times are to follow a decision of the faculty programme board.

    Principles for examination scheduling for courses that follow the study periods:

    • courses given in VT1 are examined for the first time in March, with re-examination in June and August
    • courses given in VT2 are examined for the first time in May, with re-examination in August and January
    • courses given in HT1 are examined for the first time in October, with re-examination in January and August
    • courses given in HT2 are examined for the first time in January, with re-examination in March and in August.

    The examination schedule is based on the structure of timetable modules, but there may be deviations from this, mainly in the case of courses that are studied and examined for several programmes and in lower grades (i.e. 1 and 2). 

    Examinations for courses that the faculty programme board has decided are to be held in alternate years are held three times during the school year in which the course is given according to the principles stated above.

    Examinations for courses that are cancelled or rescheduled such that they are not given in one or several years are held three times during the year that immediately follows the course, with examination scheduling that corresponds to the scheduling that was in force before the course was cancelled or rescheduled.

    When a course, or a written examination (TEN, DIT, DAT), is given for the last time, the regular examination and two re-examinations will be offered. Thereafter, examinations are phased out by offering three examinations during the following academic year at the same times as the examinations in any substitute course. If there is no substitute course, three examinations will be offered during re-examination periods during the following academic year. Other examination times are decided by the faculty programme board. In all cases above, the examination is also offered one more time during the academic year after the following, unless the faculty programme board decides otherwise. In total, 6 re-examinations are offered, of which 2 are regular re-examinations. In the examination registration system, the examinations given for the penultimate time and the last time are denoted. 

    If a course is given during several periods of the year (for programmes, or on different occasions for different programmes) the faculty programme board or boards determine together the scheduling and frequency of re-examination occasions.

    Retakes of other forms of examination

    Regulations concerning retakes of other forms of examination than written examinations and digital and computer-based examinations are given in the LiU guidelines for examinations and examiners, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592.

    Course closure

    For Decision on Routines for Administration of the Discontinuation of Educational Programs, Freestanding Courses and Courses in Programs, see DNR LiU-2021-04782. After a decision on closure and after the end of the discontinuation period, the students are referred to a replacement course (or similar) according to information in the course syllabus or programme syllabus. If a student has passed some part/parts of a closed program course but not all, and there is an at least partially replacing course, an assessment of crediting can be made. Any crediting of course components is made by the examiner.

    Registration for examination

    In order to take an written, digital or computer-based examination, registration in advance is mandatory, see decision in the university’s rule book https://styrdokument.liu.se/Regelsamling/VisaBeslut/622682. An unregistered student can thus not be offered a place. The registration is done at the Student Portal or in the LiU-app during the registration period. The registration period opens 30 days before the date of the examination and closes 10 days before the date of the examination. Candidates are informed of the location of the examination by email, four days in advance. 

    Code of conduct for students during examinations

    Details are given in a decision in the university’s rule book: http://styrdokument.liu.se/Regelsamling/VisaBeslut/622682.

    Retakes for higher grade

    Students at the Institute of Technology at LiU have the right to retake written examinations and digital and computer-based examinations in an attempt to achieve a higher grade. This is valid for all examination components with code “TEN”, “DIT” and "DAT". The same right may not be exercised for other examination components, unless otherwise specified in the course syllabus.

    A retake is not possible on courses that are included in an issued degree diploma. 

    Grades

    The grades that are preferably to be used are Fail (U), Pass (3), Pass not without distinction (4) and Pass with distinction (5). 

    • Grades U, 3, 4, 5 are to be awarded for courses that have written or digital examinations.
    • Grades Fail (U) and Pass (G) may be awarded for courses with a large degree of practical components such as laboratory work, project work and group work.
    • Grades Fail (U) and Pass (G) are to be used for degree projects and other independent work.

    Examination components

    The following examination components and associated module codes are used at the Faculty of Science and Engineering:

    • Grades U, 3, 4, 5 are to be awarded for written examinations (TEN) and digital examinations (DIT).
    • Examination components for which the grades Fail (U) and Pass (G) may be awarded are laboratory work (LAB), project work (PRA), preparatory written examination (KTR), digital preparatory written examination (DIK), oral examination (MUN), computer-based examination (DAT), home assignment (HEM), and assignment (UPG).
    • Students receive grades either Fail (U) or Pass (G) for other examination components in which the examination criteria are satisfied principally through active attendance such as tutorial group (BAS) or examination item (MOM).
    • Grades Fail (U) and Pass (G) are to be used for the examination components Opposition (OPPO) and Attendance at thesis presentation (AUSK) (i.e. part of the degree project).

    In general, the following applies:

    • Mandatory course components must be scored and given a module code.
    • Examination components that are not scored, cannot be mandatory. Hence, it is voluntary to participate in these examinations, and the voluntariness must be clearly stated. Additionally, if there are any associated conditions to the examination component, these must be clearly stated as well.
    • For courses with more than one examination component with grades U,3,4,5, it shall be clearly stated how the final grade is weighted.

    For mandatory components, the following applies (in accordance with the LiU Guidelines for education and examination for first-cycle and second-cycle education at Linköping University, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592): 

    • If special circumstances prevail, and if it is possible with consideration of the nature of the compulsory component, the examiner may decide to replace the compulsory component with another equivalent component.

    For possibilities to alternative forms of examinations, the following applies (in accordance with the LiU Guidelines for education and examination for first-cycle and second-cycle education at Linköping University, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592): 

    • If the LiU coordinator for students with disabilities has granted a student the right to an adapted examination for a written examination in an examination hall, the student has the right to it.
    • If the coordinator has recommended for the student an adapted examination or alternative form of examination, the examiner may grant this if the examiner assesses that it is possible, based on consideration of the course objectives.
    • An examiner may also decide that an adapted examination or alternative form of examination if the examiner assessed that special circumstances prevail, and the examiner assesses that it is possible while maintaing the objectives of the course.

    Reporting of examination results

    The examination results for a student are reported at the relevant department.

    Plagiarism

    For examinations that involve the writing of reports, in cases in which it can be assumed that the student has had access to other sources (such as during project work, writing essays, etc.), the material submitted must be prepared in accordance with principles for acceptable practice when referring to sources (references or quotations for which the source is specified) when the text, images, ideas, data, etc. of other people are used. It is also to be made clear whether the author has reused his or her own text, images, ideas, data, etc. from previous examinations, such as degree projects, project reports, etc. (this is sometimes known as “self-plagiarism”).

    A failure to specify such sources may be regarded as attempted deception during examination.

    Attempts to cheat

    In the event of a suspected attempt by a student to cheat during an examination, or when study performance is to be assessed as specified in Chapter 10 of the Higher Education Ordinance, the examiner is to report this to the disciplinary board of the university. Possible consequences for the student are suspension from study and a formal warning. More information is available at Cheating, deception and plagiarism 

    Regulations (apply to LiU in its entirety)

    The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

    LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

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    Linköping University common rules and regulations (in Swedish)