Section outline
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Each project's description, along with the necessary instructions, is provided in the following Google Docs. Kindly write your name at the top of the page.
https://docs.google.com/presentation/d/1fvJVTTorBVZV10md6V1nb7MF-Y48BYsn/edit?usp=sharing&ouid=109593725789972473824&rtpof=true&sd=true
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Dear students,
The results of the first midterm have been uploaded. If you would like to review your exam, please visit my office this coming Monday from 15:00 to 16:00.
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Opened: Friday, 22 May 2026, 12:00 AMDue: Sunday, 24 May 2026, 11:59 PM
Instructions for the submission
- The project should be written between 5 and 10 pages. But if you have more, it's fine.
- Only one group member needs to upload the project (every file, including .pdf, .zip, and .txt).
- Please, write all the names of the group members at the top of the first page.
- The deadline for submission is the 24th of May.
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Slides for Lecture 1 are attached as a pdf file.
BR
Enes
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Once again, the link can be accessed using your student email account (not e.g. gmail)
Passcode: 2eYpdz%L
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Description of coding and decoding using LZW algorithm.
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Tunstall coding and final comments on source compression
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Hi,
The search algorithms presented in the second part of lecture notes are optional, for interested students. Also, the introductory part on H_infinity only demonstrates the importance of this quantity and difficulty of coputing it when the random variables are not independent. The point with Markov sources (having a single unit of memory) is that we can compute this H_infinity in this case!
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Notice that we will only cover first 9 pages (for definitions) and the part on quantisation.
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