MSc AI & Engineering Systems

Study Notes & Materials • TU/e

Year 1
- Q1
  - Software Engineering for AI
    - Lecture 1
      - Assesment
        Course assesment
        
        3 Sep 2025
    - Assignment 1
      - Git and Github Tutorial-Assignment 1
        This is the Readme file for the first assignment and weighs a 10% of the total grade
        
        4 sep 2025
  - Q1 Guide
    - Q1 Guide
      Course registration Q1
      
      1 Sep 2025
  - Human and ethical aspects of AI
    - Assignment
      - Client Meeting
        
        Client Meeting
        Assignment 1 - Meeting with the client to discuss AI for ethics review
        
        8 Sep 2025
    - Notes
      - Sixth lecture
        
        Sustainability and AI
        Sixth lecture
        
        17 Sep 2025
      - Third lecture
        
        Design for Values and AI
        Third lecture
        
        9 Sep 2025
      - Seventh lecture
        
        The Opacity Problem in ML
        Seventh lecture
        
        21 Sep 2025
      - Fifth lecture
        
        Responsibility and AI
        Fifth lecture
        
        16 Sep 2025
      - First lecture
        
        Introduction to ethics and the course
        First lecture
        
        2 Sep 2025
      - Eighth lecture
        
        Two value paradigms for human-AI interaction
        Eighth lecture
        
        25 Sep 2025
      - Second lecture
        
        Philosophical fundamentals of AI
        Second lecture
        
        4 Sep 2025
      - Ninth lecture
        
        Moral machines
        Ninth lecture
        
        10 Oct 2025
      - Fourth lecture
        
        Fairness and AI
        Fourth lecture
        
        11 Sep 2025
      - Tenth lecture
        
        Superintelligence and risks of AI
        Tenth lecture
        
        10 Oct 2025
  - Data Analysis & Learning Methods
    - Instructions
      - instructionModule9
        Jupyter Notebook
      - InstructionModule4
        Jupyter Notebook
      - instructionModule8 SVM
        Jupyter Notebook
      - instructionModule7.2
        Jupyter Notebook
      - instructionModule6
        Jupyter Notebook
      - instructionModule7
        Jupyter Notebook
      - InstructionModule3
        Jupyter Notebook
      - instructionModule10
        Jupyter Notebook
      - instructionModule5
        Jupyter Notebook
    - Notes
      - Third lecture
        
        Feature engineering, feature selection, feature extraction
        Third lecture
        
        9 Sep 2025
      - Fifth lecture
        
        Supervised learning
        Fifth lecture
        
        19 Sep 2025
      - First lecture
        
        Introduction to the course, basic learning types, basic ML tasks
        First lecture
        
        2 Sep 2025
      - Second lecture
        
        Basic data collection, data representation, pre-processing
        Second lecture
        
        5 Sep 2025
      - Fourth lecture
        
        Unsupervised learning, clustering techniques
        Fourth lecture
        
        12 Sep 2025
  - Mentor meeting
    - Meentor meeting
      First mentor meeting where we discuss about the MSc degree
      
      3 Sep 2025
- Q2
  - Bayesian ML
    - 07-ball-box-conditional
      Study Note
    - README
      Study Note
    - 04-model-evidence-averaging
      Study Note
    - 03-gaussian-posterior-evidence
      Study Note
    - 10-fep
      Study Note
    - 11-factor-analysis
      Study Note
    - 12-recursive-filtering
      Study Note
    - crash-course
      Study Note
    - 13-log-likelihood-mle
      Study Note
    - 01-bayes-rule-posterior
      Study Note
    - 06-bayesian-classifier
      Study Note
    - 02-beta-bernoulli-coin-toss
      Study Note
    - exam-cheatsheet
      Study Note
    - 08-gmm-form
      Study Note
    - 09-vfe
      Study Note
    - 14-gmm-vfe-fep-concepts
      Study Note
    - 05-model-comparison-bayes-factor
      Study Note
    - Exams
      - 2021-part-b
        Study Note
      - 2021-part-a
        Study Note
      - 2021-resit
        Study Note
      - 2022
        Study Note
      - 2023
        Study Note