Course Details

ELE 634 Digital Communications II
2017-2018 Spring term information

The course is not open this term

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University ( in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.


Course Name Code Semester Theory
Credit ECTS
DIGITAL COMMUNICATIONS II ELE634 Any Semester/Year 3 0 3 8
Course language
Course typeElective 
Mode of Delivery 
Learning and teaching strategiesLecture
Question and Answer
Field Trip
Team/Group Work
Role Play
Preparing and/or Presenting Reports
Drill and Practice
Case Study
Problem Solving
Brain Storming
Project Design/Management
Instructor (s) 
Course objective 
Learning outcomes
    Course Content 

    Course outline weekly

    Week 1Fading multipath channels. Time-variant multipath channels, statistical characterisation of multipath channels.
    Week 2Multipath intensity profile, frequency and time selectivity, coherence time, coherence bandwidth.
    Week 3Channel impulse response, channel model, slow fading, fast fading,
    Week 4Mobile radio channel, digital signaling over flat and frequency selective slowly fading channels. Rake demodulator.
    Week 5Diversity and combining techniques. Transmit vs receive diversity. Macroscopic and microscopic diversity. Time, frequency, space, angle and polarisation diversity.
    Week 6SIMO systems. Diversity combining techniques. Pre-detection and post-detection combining. Selective and switched combining. Equal-gain combining and maximal ratio combining.
    Week 7Midterm Exam I
    Week 8The performance of diversity systems in fading. MISO systems with channel state information (CSI) (un)available at the transmitter. Alamouti technique.
    Week 9MIMO systems. Diversity gain, multiplexing gain and array gain. MIMO channel capacity.
    Week 10Multiple access communications. TDD and FDD. Fixed-assignment, demand-assignment and random access. Frequency division multiple access (FDMA), time division multiple access (TDMA) and code division multiple access (CDMA). Capacity of FDMA, TDMA and C
    Week 11Random access methods; ALOHA, slotted ALOHA, reservation ALOHA, carrier sense multiple access (CSMA), token-ring. Polling techniques.
    Week 12Midterm Exam II
    Week 13Wireless access protocols and systems. WiMax, Wi-Fi, Bluetooth and Zigbee.
    Week 14Queueing theory; Erlang-B and C formulas.
    Week 15Preparation to Final exam
    Week 16Final exam

    Assesment methods

    Course activitiesNumberPercentage
    Field activities00
    Specific practical training00
    Final exam150
    Percentage of semester activities contributing grade succes950
    Percentage of final exam contributing grade succes150

    Workload and ECTS calculation

    Activities Number Duration (hour) Total Work Load
    Course Duration (x14) 14 3 42
    Laboratory 0 0 0
    Specific practical training000
    Field activities000
    Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
    Presentation / Seminar Preparation11212
    Homework assignment6424
    Midterms (Study duration)23060
    Final Exam (Study duration) 13030
    Total Workload3884238

    Matrix Of The Course Learning Outcomes Versus Program Outcomes

    D.9. Key Learning OutcomesContrubition level*
    1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.   X 
    2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering.   X 
    3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.  X  
    4. Designs and runs research projects, analyzes and interprets the results.  X  
    5. Designs, plans, and manages high level research projects; leads multidiciplinary projects. X   
    6. Produces novel solutions for problems.  X  
    7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects. X   
    8. Follows technological developments, improves him/herself , easily adapts to new conditions.   X  
    9. Is aware of ethical, social and environmental impacts of his/her work. X   
    10. Can present his/her ideas and works in written and oral form effectively; uses English effectively X   

    *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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