University Homepage School Homepage School Contacts School Search

Informatics 2B: Tutorials

Note: Tutorials start in Week 2.

Tutorial groups here.

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

TUTORIALS

1. Week 02 (23-27 Jan): Algorithms. Asymptotic Notation. Tutorial 1 (Solutions).
2. Week 03 (30 Jan-03 Feb): Algorithms. Lists and Hashing. Tutorial 2 (Solutions).
3. Week 04 (06-10 Feb): Learning. Simple recommender system and clustering. Tutorial 3 (Solutions).
4. Week 05 (13-17 Feb): Learning. Introduction to statistical pattern recognition. Tutorial 4 (Solutions).
   
   20-25 Feb, Innovative Learning Week, no lectures or tutorials
   
   
5. Week 06 (27 Feb-02 Mar): Algorithms. AVL-trees, Heaps and the Master Theorem Tutorial 5 (Solutions).
6. Week 07 (05-09 Mar): Learning. Naive Bayes and Gaussians. Tutorial 6 (Solutions).
7. Week 08 (12-16 Mar): Algorithms. Sorting and Graphs Tutorial 7 (Solutions).
8. Week 09 (19-23 Mar): Learning. Classification with Gaussians and Discriminant Functions. Tutorial 8 (Solutions).
9. Week 10 (26-30 Mar): Algorithms and Learning (joint tutorial). Graphs and the Web; Single- and multi-layer networks.Tutorial 9 ( ADS Solutions). (Learning Solutions).