Course­ Manual QKC

Source and Channel Coding


PDF Course Catalog Deutsche Version: QKC

Version: 2 | Last Change: 06.08.2019 21:56 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben

Long name Source and Channel Coding
Approving CModule QKC_BaET, QKC_BaTIN
Responsible
Prof. Dr. Uwe Dettmar
Professor Fakultät IME
Valid from summer semester 2022
Level Bachelor
Semester in the year winter semester
Duration Semester
Hours in self-study 60
ECTS 5
Professors
Prof. Dr. Uwe Dettmar
Professor Fakultät IME
Requirements Students should have basic knowldege in algebra, linear algebra, and stochastics as well as the capabilities to write small programs in a standard programming language. In the framework of this module Python and Matlab/Octave is used for simulations.
Language German
Separate final exam Yes
Literature
BOSSERT, M. : Einführung in die Nachrichtentechnik. Oldenbourg Verlag, 2012.
BOSSERT, M. : Kanalcodierung.Oldenbourg Wissenschaftsverlag GmbH, 2013.
NEUBAUER, A. : Informationstheorie und Quellencodierung. Wilburgstetten : Schlembach, 2006.
PROAKIS, J. G. ; SALEHI, M. : Digital Communications. 5. McGraw–Hill, 2008.
SAYOOD, K. : Introduction to data compression. third. Elsevier Morgan Kaufmann, 2000.
MEYER, M. : Kommunikationstechnik. 4. Vieweg und Teubner, 2019.
SKLAR, B. : Digital Communications. Prentice Hall PTR, 2001
Final exam
Details Form: written exam (optional: oral examination)
- Duration: 90 minutes
- Assignment: in general 3 problems with subtasks which test on different taxonimies
- different taxonomies are rated according to their complexity and difficulty
Minimum standard Basic knowledge can be adequately applied to known and related problems. The execution is in parts faulty. (4,0)
Exam Type EN Klausur

Learning goals
Goal type Description
Knowledge The underlying concept of this module is a combination from lecture and tutorial. After a lecture block of approximately 20 minutes) the subjects taught are actively trained using Matlab/Octave and Python programs.

Syllabus:
- basics on source and channel coding and cryptology
- system theoretical description of a tranmission system
- basics math for source and channel coding and cryptography
- basics on information theory related to source and channel coding
- examples for source and block codes
- aspects of IT security
- public and private key cryptographie
- cryptological protocols

These subjects are presented during the lecture. Students shall deepen their knowledge by self-study of literature and internet ressources and discuss their results in small learning groups as a teamwork.
Skills By the help of small exercises and programs during the presence time, students are able to actively train their knowledge. More extensive problems are solved and discussed in the second part of the course to activate the student's capabilities to solve relevant problems.

Students further learn
- to analyze communication systems and to estimate their performance
- to compare and rate algorithms and methods
- to apply their knowledge to technical problems
Expenditure classroom teaching
Type Attendance (h/Wk.)
Lecture 2
Exercises (whole course) 0
Exercises (shared course) 2
Tutorial (voluntary) 1
Special requirements
none
Accompanying material lecture slides, problems and solutions, course page in the Ilias learning platform, mini tests, collection of links, Matlab and Python programs, Jupyter Notebooks
Separate exam No

Learning goals
Goal type Description
Skills Students accomplish lab problems from source and channel coding using Jupyter Notebooks.
Simulations are provide as complete or partly complete Python programs. Students collect and present the data by graphical representation.
Matlab in combination with the Communications Toolbox ist used for more extensive simulation tasks.

- students train their capabilities to solve technical problems by programming
- students analyze and simulate digital communication systems and rate their performance
- they train their self-management and their problem focused thinking and acting
- students train solving problems in a team and their communication skills
Expenditure classroom teaching
Type Attendance (h/Wk.)
Practical training 1
Tutorial (voluntary) 0
Special requirements
introductory lab tests ( in the Ilias system)
Accompanying material - lab manuals
- tests
Separate exam No

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