| Assignment 1 | Assignment 2 | Assignment 3 | Final Exam | | | |
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| 1: Understand and apply fundamental concepts in information theory such as probability, entropy, information content and their inter-relationships. | Y | Y | | Y | | | |
| 2: Understand the principles of data compression. | | | Y | Y | | | |
| 3: Compute entropy and mutual information of random variables. | Y | Y | Y | Y | | | |
| 4: Implement and analyse basic coding and compression algorithms. | | | Y | Y | | | |
| 5: Understand the relationship of information theoretical principles and Bayesian inference in data modelling and pattern recognition. | | Y | | Y | | | |
| 6: Understand some key theorems and inequalities that quantify essential limitations on compression, communication and inference. | | Y | Y | Y | | | |
| 7: Know the basic concepts regarding communications over noisy channels. | | | Y | Y | | | |
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