Signal Theory, 6 credits

Signalteori, 6 hp

TSDT14

Main field of study

Electrical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Mikael Olofsson

Director of studies or equivalent

Lasse Alfredsson

Education components

Preliminary scheduled hours: 56 h
Recommended self-study hours: 104 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Biomedical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Communication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Control and Information Systems) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CMED Biomedical Engineering, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CMED Biomedical Engineering, M Sc in Engineering (Biomedical Imaging and Visualization) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CMED Biomedical Engineering, M Sc in Engineering (Models in Biomedical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6MBME Biomedical Engineering, Master's Programme 1 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6MCSY Communication Systems, Master's Programme 1 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CDDD Computer Science and Engineering, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Communication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CDDD Computer Science and Engineering, M Sc in Engineering (Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEN Electronics Design Engineering, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Master Profile Automatic Control) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Master Profile Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Master Profile Telecommunication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Electrical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Master Profile Automatic Control) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Master Profile Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Master Profile Telecommunication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Electrical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Master Profile Automatic Control) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Master Profile Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Master Profile Telecommunication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Electrical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Master Profile Automatic Control) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Master Profile Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Master Profile Telecommunication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Electrical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Master Profile Automatic Control) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Master Profile Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Master Profile Telecommunication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Electrical Engineering) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Electrical Engineering Specialization) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Automatic Control) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Telecommunication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CITE Information Technology, M Sc in Engineering 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Communication) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla C
6CITE Information Technology, M Sc in Engineering (Signal and Image Processing) 7 (Autumn 2018) 1 1 Swedish/English Linköping, Valla E

Main field of study

Electrical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Master's Programme in Biomedical Engineering
  • Master's Programme in Communication Systems
  • Computer Science and Engineering, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering
  • Electronics Design Engineering, M Sc in Engineering
  • Industrial Engineering and Management, M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Biomedical Engineering, M Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

From Calculus: Derivatives and integrals.
From Probability theory: Most, but with focus on binary distributions, rectangular distributions and Gaussian distributions.
From Signals and systems: Fourier transforms, LTI systems, convolution, amplitude modulation, sampling and pulse amplitude modulation. (all of it deterministic)

Intended learning outcomes

After passing the course, the student should

  • be able to clearly define central concepts regarding stochastic processes, using own words.
  • be able to reliably perform standard calculations regarding stochastic processes, e.g. LTI filtering (both time continuous and time discrete), sampling and pulse amplitude modulation, but also certain momentary non-linearities that are common in telecommunication.
  • with some reliability be able to solve problems that demand integration of knowledge from different parts of the course, i.e. analysis of LTI-filtering, modulation, sampling and non-linear filtering of stochastic processes, both one-dimensional and multi-dimensional.
  • be able to account for the connection between different concepts in the course in a structured way using adequate terminology.
  • be able to estimate the auto correlation function and power spectral density of a stochastic process based on a realization of the process. Also, clearly and logically account for those estimations and conclusions that can be drawn from them.

Course content

 

  • TTime continuous and time discrete, real as well as complex, stochastic processes: Probability distribution, probability density, expectation, ensemble expectation, auto correlation function, power spectral density, cross correlation function, cross spectral density, stationarity, ergodicity. Especially Gaussian processes and white processes. Multidimensional processes.
  • LTI filtering of stochastic processes: Relations between statistical properties of the input process and the output process. Especially matched filters and white Gaussian noise as input.
  • Amplitude and angle modulation of stochastic processes: Relations between statistical properties of the input process and the output process. Especially Gaussian processes as input. Noise analysis of those modulation forms, primarily with white Gaussian noise as disturbance.
  • Non-linear momentary systems: Quantization and monomial non-linearities. Relations between statistical properties of the input process and the output process. Especially Gaussian processes as input. Properties of quantization noise.
  • Transformation between time continuous and time discrete stochastic processes: Sampling and pulse amplitude modulation, the sampling theorem, reconstruction and reconstruction error.
  • Case study: Reconstruction in CD players.
  • Estimation of expectations, auto correlation function and power spectral density.

 

Teaching and working methods

Teaching is given in the form of lectures, tutorial and laborations

Examination

LAB1Laboratory Work2 creditsU, G
TEN1Written Examination4 creditsU, 3, 4, 5
At the exam, there will be an introductory task that examines the learning outcomes "be able to clearly define..." and " be able to reliably perform standard calculations...". This task has to be solved correctly, in order to pass the exam. The rest of the exam examines the learning outcome " with some reliability be able to solve problems...". The grade on the exam, and also on the course as a whole is based on this part.
The laborations are performed in small groups and is examined based on a report. This examines the last two learning outcomes, " be able to account for..." and " be able to estimate...".

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Wireless communication, Data compression, Image and audio coding, Communication systems CDIO.

Department

Institutionen för systemteknik

Director of Studies or equivalent

Lasse Alfredsson

Examiner

Mikael Olofsson

Course website and other links

http://www.commsys.isy.liu.se/en/student/kurser/TSDT14

Education components

Preliminary scheduled hours: 56 h
Recommended self-study hours: 104 h

Course literature

Books

  • Mikael Olofsson, (2011) Signal Theory Studentlitteratur
    ISBN: 978-91-44-07353-8
    Studentlitteratur
  • Mikael Olofsson, (2011) Tables and Formulas for Signal Theory Studentlitteratur
    ISBN: 978-91-44-07328-6
    Studentlitteratur

Compendia


  • Additional problems and Lab Memo will be distributed during the course.

Other

  • Kompletterande kursmaterial som distribueras under kursens gång. /Additional material will be distributed during the course.
Code Name Scope Grading scale
LAB1 Laboratory Work 2 credits U, G
TEN1 Written Examination 4 credits U, 3, 4, 5
At the exam, there will be an introductory task that examines the learning outcomes "be able to clearly define..." and " be able to reliably perform standard calculations...". This task has to be solved correctly, in order to pass the exam. The rest of the exam examines the learning outcome " with some reliability be able to solve problems...". The grade on the exam, and also on the course as a whole is based on this part.
The laborations are performed in small groups and is examined based on a report. This examines the last two learning outcomes, " be able to account for..." and " be able to estimate...".

Course syllabus

A syllabus has been 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. A central timetable is not drawn up for courses with fewer than five participants. Most project courses do not have a central timetable.

Interrupting a course

The vice-chancellor’s decision concerning regulations for registration, deregistration and reporting results (Dnr LiU-2015-01241) 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 a course is carried out using a web-based form: www.lith.liu.se/for-studenter/kurskomplettering?l=sv. 

Cancelled courses

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 board of studies is to deliberate and decide whether a course is to be cancelled or changed from the course syllabus. 

Regulations relating to examinations and examiners 

Details are given in a decision in the university’s rule book: http://styrdokument.liu.se/Regelsamling/VisaBeslut/622678.

Forms of examination

Examination

Written and oral 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 board of studies.

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 October
  • 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 at Easter 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 board of studies has decided are to be held in alternate years are held only three times during the year in which the course is given.
  • 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.
  • If teaching is no longer given for a course, three examination occurrences are held during the immediately subsequent year, while examinations are at the same time held for any replacement course that is given, or alternatively in association with other re-examination opportunities. Furthermore, an examination is held on one further occasion during the next subsequent year, unless the board of studies determines otherwise.
  • If a course is given during several periods of the year (for programmes, or on different occasions for different programmes) the board or boards of studies determine together the scheduling and frequency of re-examination occasions.

Registration for examination

In order to take an examination, a student must register in advance at the Student Portal during the registration period, which opens 30 days before the date of the examination and closes 10 days before it. Candidates are informed of the location of the examination by email, four days in advance. Students who have not registered for an examination run the risk of being refused admittance to the examination, if space is not available.

Symbols used in the examination registration system:

  ** denotes that the examination is being given for the penultimate time.

  * denotes that the examination is being given for the last time.

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 computer-based examinations in an attempt to achieve a higher grade. This is valid for all examination components with code “TEN” and "DAT". The same right may not be exercised for other examination components, unless otherwise specified in the course syllabus.

Retakes of other forms of examination

Regulations concerning retakes of other forms of examination than written examinations and computer-based examinations are given in the LiU regulations for examinations and examiners, http://styrdokument.liu.se/Regelsamling/VisaBeslut/622678.

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.

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 https://www.student.liu.se/studenttjanster/lagar-regler-rattigheter?l=sv.

Grades

The grades that are preferably to be used are Fail (U), Pass (3), Pass not without distinction (4) and Pass with distinction (5). Courses under the auspices of the faculty board of the Faculty of Science and Engineering (Institute of Technology) are to be given special attention in this regard.

  1. Grades U, 3, 4, 5 are to be awarded for courses that have written examinations.
  2. 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.

Examination components

  1. Grades U, 3, 4, 5 are to be awarded for written examinations (TEN).
  2. Grades Fail (U) and Pass (G) are to be used for undergraduate projects and other independent work.
  3. 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), oral examination (MUN), computer-based examination (DAT), home assignment (HEM), and assignment (UPG).
  4. 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 other examination (ANN), tutorial group (BAS) or examination item (MOM).

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

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. 

Books

Mikael Olofsson, (2011) Signal Theory Studentlitteratur

ISBN: 978-91-44-07353-8

Studentlitteratur

Mikael Olofsson, (2011) Tables and Formulas for Signal Theory Studentlitteratur

ISBN: 978-91-44-07328-6

Studentlitteratur

Compendia

Additional problems and Lab Memo will be distributed during the course.

Other

Kompletterande kursmaterial som distribueras under kursens gång. /Additional material will be distributed during the course.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
LAB1
TEN1
Using mathematics as a tool: Primarily derivatives, integrals and stochastics.
1.2 Fundamental engineering knowledge (G1X level)
X
LAB1
TEN1
Fourier transforms, LTI systems, convolution, amplitude modulation, sampling and pulse-amplitude modulation. Deterministically.
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
LAB1
TEN1
Stochastic processes: The same as 1.2, but stochastically. Autocorrelation function and power spectral density. Quantization.
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
LAB1
TEN1
Problem solving regarding 1.3, using tools and methods primarily from mathematics. Identifying, formulating and modelling random phenomena.
2.2 Experimentation, investigation, and knowledge discovery
X
LAB1
Estimation of auto-correlation function and power spepctral density. Formulating mathematical models, using relevant equipment and methods to conduct experiments or similar, analyze the result using mathematical tools as well as programming tools to account for resultats.
2.3 System thinking

                            
2.4 Attitudes, thought, and learning
X
X
TEN1
Individual problem solving.
2.5 Ethics, equity, and other responsibilities
X
X
LAB1
TEN1
Thinking in terms of models.
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
LAB1
Laborations in small groups.
3.2 Communications
X
LAB1
Written communication in the form of a report as examination of the laborative part of the course.
3.3 Communication in foreign languages
X
Course literature, teaching and examination are in English.
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. Click on a file to download and open it.

Name File name Description
TSDT14_Lab-memo_HT2018 TSDT14_Lab-memo_HT2018.pdf
TSDT14_introToMatlab_HT2018 TSDT14_introToMatlab_HT2018.pdf
TSDT14_Lab-memo_HT2018 TSDT14_Lab-memo_HT2018.pdf
Lecture plan autumn 2018 TSDT14_Lecture-plan_HT2018.pdf
Tutorial plan autumn 2018 TSDT14_Tutorial-plan_HT2018.pdf
Slides lecture 12 autumn 2017 F12-HT17-4up.pdf
Slides lecture 11 autumn 2017 F11-HT17-4up.pdf
Slides lecture 5 autumn 2017 F5-HT17-4up.pdf
Slides lecture 1 autumn 2017 F1-HT2017-4up.pdf
Slides lecture 2 autumn 2017 F2-HT2017-4up.pdf
Slides lecture 7 autumn 2017 F7-HT17-4up.pdf
Slides lecture 6 autumn 2017 F6-HT17-4up.pdf
Slides lecture 9 autumn 2017 F9-HT17-4up.pdf
Slides lecture 3 autumn 2017 F3-HT2017-4up.pdf
Slides lecture 8 autumn 2017 F8-HT17-4up.pdf
Slides lecture 10 autumn 2017 F10-HT17-4up.pdf
Slides lecture 4 autumn 2017 F4-HT2017-4up.pdf
Course information autumn 2018 TSDT14_Course-information_HT2018.pdf
TSDT14_HT1_2018_Lecture_1_4up TSDT14_HT1_2018_Lecture_1_4up.pdf
TSDT14_HT1_2018_Lecture_2_4up TSDT14_HT1_2018_Lecture_2_4up.pdf
TSDT14_HT1_2018_Lecture_3_4up TSDT14_HT1_2018_Lecture_3_4up.pdf
TSDT14_HT1_2018_Lecture_4_4up TSDT14_HT1_2018_Lecture_4_4up.pdf
TSDT14_HT1_2018_Lecture_5_4up TSDT14_HT1_2018_Lecture_5_4up.pdf
TSDT14_HT1_2018_Lecture_6_4up TSDT14_HT1_2018_Lecture_6_4up.pdf
TSDT14_HT1_2018_Lecture_7_4up TSDT14_HT1_2018_Lecture_7_4up.pdf
TSDT14_HT1_2018_Lecture_10_4up TSDT14_HT1_2018_Lecture_10_4up.pdf
TSDT14_HT1_2018_Lecture_8_4up TSDT14_HT1_2018_Lecture_8_4up.pdf
TSDT14_HT1_2018_Lecture_9_4up TSDT14_HT1_2018_Lecture_9_4up.pdf
TSDT14_HT1_2018_Lecture_11_4up TSDT14_HT1_2018_Lecture_11_4up.pdf
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