MEC E 594 - Applied Machine Learning for Engineers

3 units (fi 6)(EITH/SP/SU, 3-0-0)

Faculty of Engineering

Introduces machine learning (ML) methods for engineering applications, from data pre-processing and classical algorithms to deep learning for computer vision and time-series forecasting. Emphasis is placed on hands-on coding, end-to-end ML pipelines, and responsible AI considerations. Students develop and evaluate models tailored to real-world engineering problems, gaining practical expertise and an in-depth understanding of modern machine learning techniques.

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Fall Term 2026

Lectures

Section Capacity Class times Login to view Locations
LECTURE X01
(58942)
25
2026-09-01 - 2026-12-08 (M)
18:00 - 21:00
Primary Instructor: Marcin Mizianty