Artificial Intelligence AI (SBE452) - Spring 2020
Teaching Staff
Instructor: Prof. Inas Yassine
Demonstrator: Eng. Ayman Anwar
Lecture Hours
Sunday, 2nd slot.
Office Hours
| Day | Time |
|---|---|
| Wednesday | from 12 PM to 6 PM |
Grading
| Item | Percent |
|---|---|
| Final Exam | 30% |
| Semester work grades (Total) | 70 % |
Course Outline
| Week | Content |
|---|---|
| 1 | Introduction to Machine Learning |
| 2 | Linear Regression |
| 3 | Bayesian Decision Theory |
| 4 | Concept Learning and Decision Trees |
| 5 | Ensemble Learning and Random Forests |
| 6 | Support Vector Machines |
Notes
- Week 1: Introduction to Machine Learning
- Week 2: Linear Regression
- Week 3: Bayesian Decision Theory
- Week 4: Concept Learning and Decision Trees
- Week 5: Ensemble Learning and Random Forests:
- Week 6: Support Vector Machines
Assignments
- Assignment-1 : Bayesian Rule
- Assignment-2 : Decision Trees
- Assignment-3 : SVM and Ensemble methods