Extent: 20-25 credits
Teacher in charge: Professor Samuel Kaski
Administrative contact: Anu Kuusela
Target group: All master's students with sufficient prerequisite knowledge.
Application procedure: Open for all students of Aalto University
Quotas and restrictions: No quotas
Prerequisites: Bachelor-level minor in Computer Science or equivalent knowledge. Please check the prerequisites of the courses before signing up.
Content and structure of the minor
Students take the compulsory course CS-E3210 Machine Learning: Basic Principles and select additional courses from the elective courses list.
Structure of the minor
|CS-E3210||Machine Learning: Basic Principles||5|
|CS-E5710||Bayesian Data Analysis||5|
|CS-E4820||Machine Learning: Advanced Probabilistic Methods||5|
|CS-E4600||Algorithmic Methods of Data Mining||5|
|CS-E4830||Kernel Methods in Machine Learning||5|
|CS-E4870||Research Project in Machine Learning and Data Science||5|