Welcome to IERG4200 Channel Coding and Modulation!
Here are some official documents provided by the University. Please read them in advance.
Class Evaluations: Spreadsheet.
Student/Faculty Expectations on Teaching and Learning
http://www.erg.cuhk.edu.hk/erg-intra/upload/documents/StaffStudentExpectations.pdf
Academic honesty and plagiarism
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Attention is drawn to University policy and regulations on honesty in academic work, and to the disciplinary guidelines and procedures applicable to breaches of such policy and regulations. Details may be found at http://www.cuhk.edu.hk/policy/academichonesty/ . With each assignment, students will be required to submit a statement that they are aware of these policies, regulations, guidelines and procedures.
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Course Information
Instructor: Professor Sidharth (Sid) JAGGI
jaggi@ie.cuhk.edu.hk
http://staff.ie.cuhk.edu.hk/~sjaggi/
Calendar: http://calendar.jaggi.name
TA: Haoran YU,
yh012@ie.cuhk.edu.hk
Office Hour: 9:50-12:00 a.m. Tuesday @Room825 SHB
Class Time and Location:
Learning resources for students
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Course Title: IERG 4200 Channel Coding and Modulation
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Description: The course aims to cover
- Modeling noise and communication over noisy/adversarial channels
- Information theoretic tools to design codes over noisy channels (Asymptotic Equipartition Principle, typicality, probabilistic method)
- Information theoretic limits on communication over noisy channels (entropy, mutual information, inequalities, converse techniques)
- Coding theoretic constructions/bounds (GV codes, RS codes, Hamming bound, Singleton bound, Plotkin bound, concatenated codes, convolutional codes)
- Continuous channels (AWGN channels) and techniques for coding. Connections with modulation schemes.
- Some topics in Modern coding theory (Expander codes, LDPC codes, Compressive sensing...)
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Learning outcome:
Demonstrate ability to model noisy communication systems, design high-throughput and computationally-efficient codes for them, and understand fundamental limits on their performance.
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Learning activities
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Lecture
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Problem Sets
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Online Activities (Scribe Notes/Discussion)
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Homeworks
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(hr)
in class
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(hr)
in/out class
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(hr)
out of class
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(hr)
out of class
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36
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0
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36
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12
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12
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6
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15
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0
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M
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O
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M
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O
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M
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O
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M
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O
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M: Mandatory activity in the course
O: Optional activity
NA: Not applicable
Assessment scheme
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Task nature
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Description
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Weight
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Homework
Class participation
Class project
Final Exam
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Collaborative homeworks (~4)
In-class discussion/Notes on wiki
Individual project
Examination
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20%
20%
20%
40%
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Feedback for evaluation:
Class evaluations
Students are welcome to express their comments and suggestions via the following formal and informal feedback channels:
- Two course evaluations. First one to be conducted in the middle of the term and the second one at the end of the term. Students are encouraged to provide specific comments and/or suggestions in addition to the numeric ratings.
- At the end of each lecture there will be a single question feedback slip given to each student.
- Students are also encouraged to provide feedbacks using informal channels, such as email/discussion to instructor/tutor, and via the talk pages on the class wiki.
Problem Sets/Exercises/Homeworks/...
Important Announcements:
Scribe Notes Schedule:
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