Program Overview

Course Overview

The ATEK0027 Data Analysis and Machine Learning course is a 5 ECTS program that focuses on teaching different techniques for modeling dynamic systems using data.

Course Details

• Course Units: ATEK Data Analysis and Machine Learning, scheduled from 15.03.2026 to 23.05.2026.
• Teacher: Jari B—ling.
• Teaching Language: English.
• Seats: 30.
• Enrollment Time: 01.12.:00 - 09.03.:59.

Teaching Schedule

• Monday: 16.03.:30-16:00, AUR-A316, Aurum Chromium.
• Tuesday: 17.03.:30-16:00, AUR-A316, Aurum Chromium.
• Friday: 20.03.:15-10:00, AUR-A316, Aurum Chromium.
• Tuesday: 24.03.:30-16:00, AUR-A316, Aurum Chromium.
• Friday: 27.03.:15-10:00, AUR-A316, Aurum Chromium.

Learning Outcomes

• To learn different techniques for modeling dynamic systems using data.
• Understanding the limitation of data-based models.

Content

The course content includes a review of statistical concepts, stochastic disturbances, linear difference equations, neural networks, support vector machines, fitting of models to data using linear regression and numerical optimization, and classification models.

Study Methods

The study methods employed in this course include:

• Lectures.
• Exercises.
• Online materials.
• Other materials provided by the teacher.
• Blended learning approaches.

Course Unit Methods

The course unit methods comprise:

• Lectures/video lectures.
• Exercises/quizzes/presentations.
• Independent work.

Qualifications

The soft prerequisites for this course include production automation and industrial control systems.

Assessment

• Assessment Scale: 0-5.
• Assessment Criteria: Exercises.

Course Details

• Language: English.
• Level: Advanced Studies.
• Subject: Automation Engineering.
• Person in Charge: Jari B—ling.