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Informatics 2B: Tutorials

Note: Tutorials start in Week 2 (i.e., week beginning 21 January).

Tutorial groups are here. Contact the ITO with any queries.

Note: Sample solutions are released in the week following the relevant tutorial; do not report broken links before then.

TUTORIALS

1. Week 02: Algorithms. Asymptotic Notation. Tutorial 1 (Solutions).
2. Week 03: Algorithms. Lists and Hashing. Tutorial 2 (Solutions).
3. Week 04: Learning. Simple recommender system and clustering. Tutorial 3 (Solutions).
4. Week 05: Learning. Introduction to statistical pattern recognition. Tutorial 4 (Solutions).
   
   18-22 Feb, Innovative Learning Week, no lectures or tutorials
   
   
5. Week 06: Algorithms. AVL-trees, Heaps and the Master Theorem Tutorial 5 (Solutions).
6. Week 07: Learning. Naive Bayes and Gaussians. Tutorial 6 (Solutions).
7. Week 08: Algorithms. Sorting and Graphs Tutorial 7 (Solutions).
8. Week 09: Learning. Classification with Gaussians and Discriminant Functions. Tutorial 8 (Solutions).
9. Week 10: Algorithms and Learning (joint tutorial). Graphs and the Web; Single- and multi-layer networks. Tutorial 9 (Solutions).