Digital Communications
PDF Course Catalog Deutsche Version: UT
Version: 2 | Last Change: 06.08.2019 19:49 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
Long name | Digital Communications |
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Approving CModule | UT_BaET, UT_BaTIN |
Responsible |
Prof. Dr. Uwe Dettmar
Professor Fakultät IME |
Valid from | summer semester 2022 |
Level | Bachelor |
Semester in the year | summer 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. They should understand physical quantities and units and have basic capabilties in the application of complex AC calculation. Basic knowledge from signal theory and Fourier tranform are required, too. |
Language | German, English if necessary |
Separate final exam | Yes |
BOSSERT, M. : Einfu¨hrung in die Nachrichtentechnik. Oldenbourg Verlag, 2012. |
MEYER, M. : Kommunikationstechnik. 4. Vieweg und Teubner, 2019. |
JOHNSON, SETHARES, KLEIN: Software Receiver Design, Cambridge 2011 |
PROAKIS, J. G. ; SALEHI, M. : Digital Communications. 5. McGraw–Hill, 2008. |
Details |
Form: written exam (optional: oral examination) - Duration: 90 minutes - Assignment: in general 3 problems with subtasks, which test on different taxonomies - different taxonomies are rated according to their complexity and difficulty |
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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 |
Goal type | Description |
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Knowledge | The underlying concept of this module is a combination of lecture and tutorial. After a lecture block the subjects taught are actively trained using Matlab/Octave and Python programs. Syllabus: - Short history of telecommuniations - models and content of communications - basic terms - signals, systems, and modulation - multicarrier - channels and elements of a transmission link - decision theory - link budget calculation Students shall deepen their knowledge by self-study of literature and internet ressources and discuss their results in small learning groups as teamwork. |
Skills | By working with 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 lesson 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 |
Type | Attendance (h/Wk.) |
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Lecture | 2 |
Exercises (whole course) | 2 |
Exercises (shared course) | 0 |
Tutorial (voluntary) | 0 |
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 |
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Separate exam | No |
Goal type | Description |
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Skills | Students accomplish lab problems using Jupyter Notebooks. Simulations are run with the help of 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 the help of programms - students analyze and simulate digital communication systems and rate their performance - they train their self-management and their problem focused thinking and acting - students practice solving problems in a team and train their communication skills. |
Type | Attendance (h/Wk.) |
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Practical training | 1 |
Tutorial (voluntary) | 0 |
introductory lab tests to checka sufficient preparation |
Accompanying material |
- lab manuals - tests |
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Separate exam | No |
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