Course - Introduction to Machine Learning - IDATG2208
Introduction to Machine Learning
New from the academic year 2025/2026
About
About the course
Course content
The course gives a basic introduction to data analysis and machine learning. It covers the learning regimes of supervised and unsupervised learning thoroughly, and a light introduction to reinforcement learning and explanation methods for machine learning models. The course work is project driven with focus on applications, using Python and commonly used machine learning libraries.
Learning outcome
Knowledge
The candidate has the knowledge of:
- fundamentals of machine learning with commonly used learning algorithms.
Skills
The candidate has:
- ability to analyse data sets, and train and evaluate machine learning models on data.
- can evaluate the adequateness of learning regimes based on the data.
General competencies
Candidate can:
- understand the basic principles of data analysis and machine learning.
- has the knowledge about the applicability and limitations of different contemporary learning algorithms.
Learning methods and activities
Lectures, self-study. Compulsory activity in the form of assignments, will be published during the semester. These must be passed to gain admittance to the final exam.
Compulsory assignments
- Mandatory exercises
Further on evaluation
The re-sit examination is held in August.
If there is a re-sit examination, the examination form may be changed from written (multiple choice) to oral.
Specific conditions
Admission to a programme of study is required:
Computer Science - Engineering (BIDATA)
Digital Infrastructure and Cyber Security (BDIGSEC)
Programming (BPROG)
Recommended previous knowledge
- Basic programming knowledge in Python.
- Statistics from ISTG1003 or similar courses (ST1101/TMA4240/TMA4245)
- Linear algebra and Calculus from IMAG1002, IMAG2024 or similar courses (TMA4110/TMA4115/MA1201, TMA4105, MA1103)
Course materials
Hands-on Machine Learning with Scikit Learn, Keras and Tensorflow, 2022, Aurelien Geron
Credit reductions
Course code | Reduction | From |
---|---|---|
TDT4172 | 7.5 sp | Autumn 2025 |
Subject areas
- Computer and Information Science
Contact information
Course coordinator
Department with academic responsibility
Examination
Examination
Ordinary examination - Autumn 2025
School exam - multiple choice
The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.