Wireless Communications in the IoT
PDF Course Catalog Deutsche Version: FIT
Version: 1 | Last Change: 06.08.2019 19:29 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben
Long name | Wireless Communications in the IoT |
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Approving CModule | FIT_BaET, FIT_BaTIN |
Responsible |
Prof. Dr. Uwe Dettmar
Professor Fakultät IME |
Valid from | winter semester 2022/23 |
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 bring basic knowledge in digital communications, signal theory, and networks and protocols. They should further have basic skills from linear algebra and statistics. Basic programming capabilities are required, too. |
Language | German, English if necessary |
Separate final exam | Yes |
DAHLMAN, E. ; PARKVALL, S. ; SKÖLD, J. : 5G NR : the next generation wireless access technology. 1st. Elsevier Science, 2018 |
FINKENZELLER, K. : RFID Handbuch. Hanser, 2008. |
FÖRSTER, A. : Introduction to Wireless Sensor Networks. Wiley-IEEE Press, 2016. |
GEIER, J. : Designing and deploying 802.11 wireless networks, Cisco Press, 2015. |
LIAO, R. ; BELLALTA, B. ; OLIVER, M. ; NIU, Z. : MU-MIMO MAC Protocols for Wireless Local Area Networks: A Survey. In: IEEE Commun. Surv. Tutorials 18 (2016) |
Mobile positioning and tracking : from conventional to cooperative techniques. Wiley-IEEE Press |
TANENBAUM, A. S. ; WETHERALL, D. : Computer networks. Pearson Education, 2014 |
Details |
- Form: oral examination, optional: written test - Duration: 30 minutes - Assignment: topics and questions from the different parts of the course are answered or discussed by the students, respectively. Short calculations are performed or sketeched. - Different taxonomies are rated according to their complexity and difficulty. - observable results from project or seminar work, respectively, can be included into the total score with up to 30 %. |
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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 mündliche Prüfung, strukturierte Befragung |
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 of approximately 20 minutes the subjects taught are actively trained using Matlab/Octave and Python programs. Syllabus: - Introduction, What is IoT/Industy 4.0? - Overview: Markets and application areas for wireless communikations - Standards, Basics on wireless communications - sensor, actor and uC - Muiltiple Access and data link Control in Sensor Networks - Techniques for higher rates - Network, Fog and Cloud Computing - Standards for cellular (4G, 5G), WLAN, LPWAN, WNAN and WPAN 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 combination of taught subjects and 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 select appropriate standards for specific applications - 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, collection of links, Matlab and Python programs |
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Separate exam | No |
Goal type | Description |
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Skills | Students plan and work on projects in the field of the IoT in small teams. They use HW and SW to implement or evaluate wireless standards and to acquire, transfer, collect, present, and evaluate data, e.g., generated by sensors. The projects of different teams may be combined to a bigger project. The results are presented at the end of the project and may be assessed and included into the total score by up to 30%. |
Type | Attendance (h/Wk.) |
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Project | 1 |
Tutorial (voluntary) | 0 |
none |
Accompanying material |
Problem formulation Introductory presentation |
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Separate exam | Yes |
Exam Type | EN Projektaufgabe im Team bearbeiten (z.B. im Praktikum) |
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Details | Presentation of the results, discussion with course attendees and the Professor. Observable parts of the project work are assessed. |
Minimum standard | Project plan presented and discussed. Project implementaion and presentation sufficient but incomplete or faulty. (4,0) |
Goal type | Description |
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Knowledge | Alternatively: Seminar work with a hot topic from the course content. Written report will be rated. Self conducted literature research, analysis of the sources, adequate and understandable presentation of the main aspects, discussion and assessment of the findings. |
Type | Attendance (h/Wk.) |
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Seminar | 0 |
Tutorial (voluntary) | 0 |
none |
Accompanying material | undefined |
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Separate exam | Yes |
Exam Type | EN Fachgespräch (Interview) zu besonderen Fragestellungen (Szenario, Projektaufgabe, Lieraturrecherche) |
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Details | Assessment of the written report. May be included by up to 30 % into the total score |
Minimum standard | Report includes the most essential aspects, presentation parly faulty or incomplete. (4,0) |
Goal type | Description |
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Skills | Atlernatively: lab work related to single aspects of the lecture to deepen the understanding. This may include HW and SW problems. |
Type | Attendance (h/Wk.) |
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Practical training | 0 |
Tutorial (voluntary) | 0 |
none |
Accompanying material | lab manuals |
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Separate exam | No |
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