Modul Digital Communication Technology (MA)

Code:	250800
Module title:	Digital Communication Technology (MA)
Version:	1.0 (05/2019)
Last update:	21.12.2023
Responsible person:	Prof. Dr.-Ing. Müller, Jens Uwe J.Mueller@hszg.de
	Prof. Dr.-Ing. Scharf, Dietmar D.Scharf@hszg.de

Offered in study course:	Mechatronics (M.Eng.) valid from class 2019

Semester according to time table:	WiSe (winter semester)
Module level:	Master
Duration:	1 semester
Status:	compulsory module
Place where the module will be offered:	Zittau
Language of Instruction:	English

Workload* in

SCH **

semester

hours

ECTS Credits

1

2

3

L

S

P

O

L

S

P

O

L

S

P

O

150

5

4.0

2

2

0

0

*	Overall workload per module (1 ECTS credit corresponds to a workload of 30 hours)
**	One semester credit hour (SCH) corresponds to a workload / class meeting of 45 minutes per week in a semester

Self study time in hours	total
	105

Learning and teaching methods:	The knowledge will be communicated by lectures. Tutorials serve as consolidation of the focal points of the presented material.

Further information:

-



Exam(s)
Assessment	Major written exam	120 min	100.0%

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Syllabus plan/Content:

1. Signals and Systems (rep.) 2. Dispersive Transmission Channels 2.1 Wireline Channels 2.2 Wireless Channels 3. Baseband Transmission (low pass systems) 3.1 Transmission Over Bandlimited Channels 3.2 Transmission Over AWGN Channels 3.3 Equalization Techniques 4. RF Transmission (band pass systems) 4.1 IQ Modulator 4.2 Linear Modulation 4.3 Multi Carrier Modulation 4.4 Receiver Structures 5. Channel Coding 5.1 Properties of Codes 5.2 Cyclic Codes 5.3 Convolutional Codes 6. Source Coding 6.1 Lossless Coding of Machine Data 6.2 Lossless Coding of Sampled Signals 6.3 Lossy Coding

Learning Outcomes:
Subject-specific skills and competences:	- Basic knowledge of the core techologies used in all the common procedures for transmission of digital data. - Knowledge and practice of special analysis methods for describing the systems regarding their quantitative as well qualitative measures. - Practical realization of the presented technologies. - Application of the knowledge for understanding the ´why´, the causal relationships and the evaluation of modern communication systems and their appropriate applications in the field of automation and energy.
Generic competences (Personal and key skills):	- Recognition and exploitation of interdisciplinary context - Knowledge and practice of common methods for problem solving and decision

Pre-requisites:	Math, Electrical Engineering, Signals and Systems (Description)
Optional pre-requisites:	Digital Signal Processing

Literature:

Oppenheim, Schafer: Discrete-Time Signal Processing. Pearsons Education, 2013. Barry, Lee, Messerschmidt: Digital Communication. Springer, 2003. Proakis: Digital Communications. McGraw-Hill Education Ltd, 2008. Guimaraes: Digital Transmission. Springer, 2010. Bossert: Channel Coding for Telecommunications. J. Wiley & Sons, 1999. Rao: Channel Coding Techniques for Wireless Communications. Springer, 2015. Lin, Costello: Error Control Coding. Prentice Hall, 2004. MacWilliams, Sloane: The Theory of Error-Correcting Codes. Elsevier Ltd., 2006.