Mandatory Lectures in BSc/MSc RW/CSE @ ETHZ

Core Courses in BSc RW/CSE (last updated September 2024)

Course Hours Term Dept Credits Course No.
Design of Parallel and High-Performance Computing 2V 2U 4A HS INFK/RW 9 263-2800-00L
High-Performance Computing Lab for CSE 4G 1P FS RW 7 401-3670-00L
Software Engineering 2V 2U HS RW 6 252-0232-00L
Introduction to Machine Learning 4V 2U 1A FS INFK 8 252-0220-00L

Core Courses in MSc RW/CSE (last updated September 2024)

Course Hours Term Dept Credits Course No.
Advanced Numerical Methods for CSE 4V 2U 4P HS RW 10 401-4671-00L
Advanced Machine Learning 3V 2U 4A HS INFK 10 252-0535-00L
Optimization for Data Science 3V 2U 4A FS INFK 10 261-5110-00L
Computational Statistics 3V 2U FS MATH/RW 8 401-3632-00L
Advanced Systems Lab 3V 2U 2A FS INFK/RW 8 263-0007-00L
AI in the Sciences and Engineering 3V 2U HS MATH/RW 8 401-4656-21L
Probabilistic Artificial Intelligence 3V 2U 2A HS INFK 8 263-5210-00L

Please comment on your experience with these courses below under the corresponding headings. Always specify the semester and the name of the lecturer. In particular mention what you have perceived as prerequisites and dependencies.

General Remarks BSc

3 out of 4 core courses are required in the Bachelor program.

General Remarks MSc

2 core courses are required in the Master program. Either Advanced Machine Learning or Probabilistic AI can be considered as a core course, but not both. Otherwise no restrictions are mentioned in the guidelines.

Specific Remarks on Courses

Design of Parallel and High-Performance Computing

High-Performance Computing Lab for CSE

Software Engineering

Introduction to Machine Learning

Advanced Numerical Methods for CSE

Advanced Machine Learning

Optimization for Data Science

Computational Statistics

Advanced Systems Lab

AI in the Sciences and Engineering

Probabilistic Artificial Intelligence


Page URL: https://wiki.math.ethz.ch/bin/view/RW/CoreCourses
2024-11-21
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