Program Overview

Explainable Artificial Intelligence Course

The Explainable Artificial Intelligence (XAI) course is a 7.5-credit course that explores the principles, methods, and applications of XAI. As AI systems become more complex and widely used in critical domains such as healthcare, finance, and autonomous systems, understanding their decision-making processes is crucial for transparency, fairness, and trust.

About the Course

This course covers various XAI approaches, including model-specific and model-agnostic techniques, interpretable machine learning models, and post-hoc explanation methods. The course also covers human-centered design for AI explanations and real-world case studies where explainability is essential.

• Key topics covered include:
  • Introduction to Explainable AI: Importance, definitions, and challenges
  • Interpretable vs. black-box models
  • Model-agnostic explanation methods (e.g., LIME, SHAP, CIU)
  • Explainability in deep learning and neural networks
  • Human-centered XAI and usability aspects
  • Fairness, bias, and ethical considerations in XAI
  • Case studies and industry applications

Course Structure

The course consists of two modules:

• Module 1, theory, 4.0 credits: This module provides a theoretical foundation for Explainable Artificial Intelligence, focusing on its principles, methods, and applications.
• Module 2, practice, 3.5 credits: This module focuses on the practical implementation of Explainable Artificial Intelligence through a group project.

Eligibility and Selection

• Eligibility: At least 90 ECTS. At least 7.5 ECTS artificial intelligence (5DV243 or similar). Either 7.5 ECTS machine learning (5DV238 or similar) or 7.5 ECTS data processing and visualisation (5DV217 or similar). Proficiency in English equivalent to the level required for basic eligibility for higher studies.
• Selection: Academic credits

Application and Tuition Fees

• Application fee: SEK 900
• Tuition fee, first instalment: SEK 19,038
• Total fee: SEK 19,038

Course Details

• Starts: 3 November 2025
• Ends: 18 January 2026
• Number of credits: 7.5 credits
• Type of studies: On site
• Study pace: 50%
• Teaching hours: Daytime
• Study location: Umeå
• Language: English
• Application code: UMU-57248

Provided by

The course is given by the Department of Computing Science.