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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