| 1 | Genomic Introduction | |
| 2 | Introduction to Biology and Genomic Measurement | |
| 3 | Measurement Techniques - Butte | |
| 4 | Microarray - Massively Parrallel Measuremment | |
| 5 | Limits of Technologies | |
| 6 | Information Science at the Center of Genomic Medicine | |
| 7 | Informational Resources | |
| 8 | Complex Traits: What to Believe | |
| 9 | Machine-learning Approach | |
| 10 | Association with Markers | |
| 11 | The Importance of Data Representation | |
| 12 | Pharmacogenomics | |
| 13 | Case Hx: Complex Traits | |
| 14 | Individualized Pharmacology | |
| 15 | Microarray Disease Classification | |
| 16 | Microarray Disease Classification II | |
| 17 | Direct Prediction of Outcome / Mortality | |
| 18 | Case Hx: Cancer Diagnostics | |
| 19 | Modelling and Reverse Engineering | |
| 20 | Practical Genomic Medicine | |