People
Responsible: Christian Schaffner
Teacher and Script: Philip Schulz
Programming Labs: Philip Schulz
Teaching assistant: TBD
Teacher and Script: Philip Schulz
Programming Labs: Philip Schulz
Teaching assistant: TBD
Structure
The 2016 edition of the course is split in two parts, 3 ECTS each. The first is about Theory given in Block 1 (Sep/Oct), the second about Python programming, given in Block 2 (Nov/Dec).Requirements for the programming part
No prior programming knowledge is required. A prerequisite for the programming part is the material covered in the course Basic Probability: Theory (e.g. maximum likelihood estimation, naive Bayes, EM). Please have a look at the lecture script in order to get an idea.Sign up! for the programming part
- Create an account on this Moodle site, or log in if you already have an account.
- enrol yourself in the Basic Probability: Programming course.
- Leave a welcome message in the course forum
- read the details about the organisation of the course and the tasks we expect you to do.
- Study the indicated sections of the book.
- Download and install PyCharmEDU on your machine.
- Solve the first reading questions before the first session on Thursday.
Both courses will be run on moodle.ch, special thanks to Martin Vögeli for generously hosting this course on this platform!