Lecture, Monday Jan 20: Course introduction and Search/Optimization
Hi everyone! In the first lecture, we will introduce the course with some motivating examples of Artificial Intelligence and Machine Learning, cover the practicalities around this course, and then dive into the first topic of the semester: Search and Optimization. The syllabus for this topic is listed below - we encourage you to have a look at it before the lecture!
Syllabus on search and optimization: Marsland 9.1, 9.4-9.6 (except 9.1.1)
Slides
Slides - Search and Optimization
Lecture recording
Weekly exercises
- Exercises 1 (Introduction to Jupter Notebook and Python)
- Exercises 2 (Search/Optimization)
- Solution 1
- Solution 2