Signals, Information and Communication, 4 credits
Signaler, information och kommunikation, 4 hp
TSKS10
Main field of study
Electrical EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Erik G. LarssonDirector of studies or equivalent
Klas NordbergEducation components
Preliminary scheduled hours: 40 hRecommended self-study hours: 67 h
Main field of study
Electrical EngineeringCourse level
First cycleAdvancement level
G2XCourse offered for
- Computer Science and Engineering, M Sc in Engineering
- Industrial Engineering and Management - International, M Sc in Engineering
- Industrial Engineering and Management, M Sc in Engineering
- Applied Physics and Electrical Engineering - International, M Sc in Engineering
- Applied Physics and Electrical Engineering, M Sc in Engineering
- Mathematics
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
Basic working knowledge of the Fourier transform and linear systems. Probability theory.Intended learning outcomes
- Understand and be able to conduct calculations on sampling in the time domain, dimensionality, I/Q representation, sampled systems and noise
- Understand and be able to conduct basic calculations on simple stochastic models of information
- Describe the fundamental limits on compression and transmission of signals and information, conduct simple calculations that relate to these limits, and understand how these limits relate to the physical reality
- Show engineering understanding of the fundamental limits of transmission of signals and information over unreliable channels (e.g., radio) and conduct simple calculations relating to these
- Describe and show engineering understanding of some basic principles for information storage and transmission techniques used in practice
- Using adequate terminology, well structured and in a logically coherent manner, be able to describe the relation between different concepts in the course
Course content
Sampling in the time domain. Representation of time- and band-limited signals, dimensionality of signals. Narrowband signals and I/Q representation. Sampled systems. Introduction to noise. Examples of signals in electrical engineering applications, especially communications and navigation systems. Modeling of physical channels (cables, radio). Fundamental limits for transmission and storage of information, entropy, capacity. Introduction to techniques for compression and error protection.
Teaching and working methods
Lectures, tutorials, written exam and a computer laboratory exercise. The computer laboratory exercise is to be documented individually in the form of a written report.
Examination
LAB1 | Computer based laboratory work | 1 credits | U, G |
TEN1 | Written examination | 3 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplementary courses: Subsequent courses in areas such as signal and image processing, communications, electronics, automatic control, and more.
Department
Institutionen för systemteknikDirector of Studies or equivalent
Klas NordbergExaminer
Erik G. LarssonCourse website and other links
http://www.commsys.isy.liu.se/sv/student/kurser/TSKS10Education components
Preliminary scheduled hours: 40 hRecommended self-study hours: 67 h
Course literature
E. G. Larsson, ”Signals, Information and Communications”.Code | Name | Scope | Grading scale |
---|---|---|---|
LAB1 | Computer based laboratory work | 1 credits | U, G |
TEN1 | Written examination | 3 credits | U, 3, 4, 5 |
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.
Note: The course matrix might contain more information in Swedish.
I | U | A | Modules | Comment | ||
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1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
1.1 Knowledge of underlying mathematics and science (G1X level) |
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X
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1.2 Fundamental engineering knowledge (G1X level) |
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X
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X
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1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
X
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X
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X
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1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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1.5 Insight into current research and development work |
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2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
2.1 Analytical reasoning and problem solving |
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X
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X
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2.2 Experimentation, investigation, and knowledge discovery |
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X
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2.3 System thinking |
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X
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X
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2.4 Attitudes, thought, and learning |
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X
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X
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2.5 Ethics, equity, and other responsibilities |
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X
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3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
3.1 Teamwork |
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3.2 Communications |
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X
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3.3 Communication in foreign languages |
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X
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4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
4.1 External, societal, and environmental context |
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4.2 Enterprise and business context |
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4.3 Conceiving, system engineering and management |
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4.4 Designing |
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4.5 Implementing |
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4.6 Operating |
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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 |
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5.2 Economic conditions for knowledge development |
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5.3 Identification of needs, structuring and planning of research or development projects |
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5.4 Execution of research or development projects |
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5.5 Presentation and evaluation of research or development projects |
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