Thursday 14 September 2017
Venue: Department of Computer Science (Celestijnenlaan 200A, Heverlee), room 00.124
| 09:00-09:15 | Registration |
| 09:15-10:25 | Introduction to Data Science (L. De Raedt) and WEKA |
| 10:25-10:45 | coffee break |
| 10:45-11:45 | Getting to Know Your Data (J. Davis) |
| 11:45-12:45 | lunch break |
| 12:45-14:30 | Overview of Tasks & Techniques: Prediction (H. Blockeel) |
| 14:30-15:00 | coffee break |
| 15:00-16:00 | Evaluation and Methodology of Data Science (A. Dries) |
| 16:00-17:00 | Data Engineering (A. Dries) |
Friday 15 September 2017
Venue: Department of Computer Science (Celestijnenlaan 200A, Heverlee), room 00.124
| 09:30-10:30 | Overview of Tasks & Techniques: Probabilistic Models (W. Meert) |
| 10:30-11:00 | coffee break |
| 11:00-12:00 | Overview of Tasks & Techniques: Exploratory Data Mining (A. Dries) |
| 12:00-13:00 | lunch break |
| 13:00-14:00 | Case Studies in Data Science Industrial Case Studies from EluciDATA (M. Verbeke, Sirris) Predicting Walking Patterns (W. Meert, T. Van Craenendonck, S. Dumancic) |
| 14:00-14:30 | coffee break |
| 14:30-16:00 | Solving a Data Science Problem in Practice and Hands-on with WEKA (W. Meert, T. Van Craenendonck, S. Dumancic) |
For more detailed information about the program, refer to the syllabus.