Lecture Slides		Aid Materials	Assignments
1. Outline
2. Introduction		· Bio-Molecular Networks · Avi Ma’ayan’s Overview
3. Topological Structure and Properties
4. Data Clustering Algorithms		· Sorin Istrail’s Overview
5. Protein Interaction Network: Clustering Algorithms		· Fortunato’s Survey · Leskovec’s Clustering Evaluation · Relative Verxtex Criterion · FAC-PIN Algorithm
6. Protein Interaction Network: Comparison Algorithms
7. Drug-Target Networks Reconstruction Algorithms
8. Gene Regulatory Networks Identification Algorithms		Tutorial on Bayesian Networks I Tutorial on Inference in Bayesian Networks II Tutorial on Learning Bayesian Networks III Tutorial on Naive Bayes Classifier Hidden Markov Models
9. Mining Large Scale Bio-Molecular Networks
10. Software Tools, Libraries, Databases		Tutorial on Instance Based Learning
11. Genetic Algorithms		Tutorial on Hillclimbing, Simulated Annealing and Genetic Algorithms
12. Semi-Supervised Learning
13. Other Seleted Topics