Linear Systems for Communication, 10 credits

Linjära system för kommunikation, 10 hp

TSKS06

The course is disused. Replaced by TSBB32.

Main field of study

Information Technology Applied Mathematics

Course level

First cycle

Course type

Programme course

Examiner

Lasse Alfredsson

Director of studies or equivalent

Klas Nordberg

Education components

Preliminary scheduled hours: 86 h
Recommended self-study hours: 181 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CITE Information Technology, M Sc in Engineering 4 (Spring 2017) 1, 2 2, 2 Swedish Linköping C

Main field of study

Information Technology, Applied Mathematics

Course level

First cycle

Advancement level

G2X

Course offered for

  • Information Technology, 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

Calculus and linear algebra.
Fundamental knowledge in Matlab is recommended (or some other programme language - for generating simple graphs).

Intended learning outcomes

The course will give basic knowledge about time and frequency analysis of continuous-time signals and continuous-time linear systems. In particular, the course focuses on analog electrical circuits and applications in analog and digital communication. The course will also give knowledge about the mathematical tools used in the course.
In short, after completed course the student should be able to:

For Electrical Circuits:
Calculate, with structured methods, currents, voltages, and power in general dc and ac circuits. Calculate the voltage gain for circuits with operational amplifiers. Describe the construction and the function of electrical filters. Calculate and in practice measure the cutoff frequencies and center frequency for electrical filters.

For Linear Systems:
Determine, interpret and mathematically handle time domain properties of deterministic signals and linear systems. By using Fourier series, the Fourier transform and the Laplace transform determine, interpret and mathematically handle frequency domain properties and general transform representations of both signals and systems. Define various properties of linear systems and, in connection with problem solving, handle the consequences of these properties. By using appropriate methods, for a given input signal calculate the output signal from a linear time-invariant system, and also give an account of the possibilities and limitations of different methods. With some precision, perform time and frequency analysis of various analog and digital modulation methods.

General:
Give a well structured and logically coherent account - using adequate terminology - of the connections between different concepts in the course.

Course content

For Electrical Circuits:
Electric circuit fundamentals. Thévenin’s and Norton’s theorems. Node-voltage analysis. Sinusoidal steady-state analysis, phasors, impedance, power. Introduction to electrical filters. Ideal operational amplifiers.

For Linear Systems:
Signal properties, system properties. Differential equation representation of linear systems. Linearization of non-linear systems. Impulse response and step response. Convolution. Fourier series analysis of periodic signals. Fourier transform analysis of signals and systems. Frequency spectrum. The frequency response function. Laplace transform analysis of signals and systems. The transfer function, Pole-zero diagrams. Time-continuous passive frequency selective filters.

For Communication:
Principles of analog and digital communication, from a linear systems perspective. Amplitude modulation, frequency and phase modulation. Digital modulation methods.

Teaching and working methods

Lectures, exercises, and laboratory work. Group work and problem based learning.
During 2016, some of the lectures may be formed as "flipped classroom" lectures.
The course runs over the entire spring semester.

Examination

KTR1Vouluntary assignments0 creditsU, G
UPG1Assignment4 creditsU, G
LAB1Laboratory work1 creditsU, G
BAS1Tutorial work2 creditsU, G
TEN1Written examination3 creditsU, 3, 4, 5
The course grade are based on the result of the written exam together with the result of the written reports. Detailed information is given on the course web page.

Grades

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

Department

Institutionen för systemteknik

Director of Studies or equivalent

Klas Nordberg

Examiner

Lasse Alfredsson

Course website and other links

http://www.cvl.isy.liu.se/education/undergraduate/TSKS06

Education components

Preliminary scheduled hours: 86 h
Recommended self-study hours: 181 h

Course literature

Rekommenderade böcker är i första hand: Tidskontinuerliga Signaler & System, Sune Söderkvist (Tryckeriet Erik Larsson) Kretsteori, Från Alfa till Omega eller Kretsteori & Elektronik, Sune Söderkvist, med tillhörande övningsböcker (Tryckeriet Erik Larsson) Analog och Digital Modulation, Mikael Olofsson
Kompletterande material av examinatorn
Code Name Scope Grading scale
KTR1 Vouluntary assignments 0 credits U, G
UPG1 Assignment 4 credits U, G
LAB1 Laboratory work 1 credits U, G
BAS1 Tutorial work 2 credits U, G
TEN1 Written examination 3 credits U, 3, 4, 5
The course grade are based on the result of the written exam together with the result of the written reports. Detailed information is given on the course web page.
Rekommenderade böcker är i första hand: Tidskontinuerliga Signaler & System, Sune Söderkvist (Tryckeriet Erik Larsson) Kretsteori, Från Alfa till Omega eller Kretsteori & Elektronik, Sune Söderkvist, med tillhörande övningsböcker (Tryckeriet Erik Larsson) Analog och Digital Modulation, Mikael Olofsson <br> Kompletterande material av examinatorn

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
X

                            
1.2 Fundamental engineering knowledge (G1X level)
X

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X

                            
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

                            
2.2 Experimentation, investigation, and knowledge discovery
X

                            
2.3 System thinking
X

                            
2.4 Attitudes, thought, and learning
X
X

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X

                            
3.2 Communications
X

                            
3.3 Communication in foreign languages

                            
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
X

                            
4.4 Designing
X

                            
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

                            

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