MSc AI & Engineering Systems
Study Notes & Materials • TU/e
- Year 1
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Academic Calendar 2025-26
PDF Document
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Tracks Description
PDF Document
- Q1
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Q1 Guide
Course registration Q1
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Meentor meeting
First mentor meeting where we discuss about the MSc degree
- Data Analysis & Learning Methods
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Human Activity Recognition - Assignment 1
PDF Document
- Instructions
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instructionModule10
Jupyter Notebook
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InstructionModule3
Jupyter Notebook
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InstructionModule4
Jupyter Notebook
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instructionModule5
Jupyter Notebook
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instructionModule6
Jupyter Notebook
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instructionModule7.2
Jupyter Notebook
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instructionModule7
Jupyter Notebook
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instructionModule8 SVM
Jupyter Notebook
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instructionModule9
Jupyter Notebook
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- Notes
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Basic data collection, data representation, pre-processing
Second lecture
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Unsupervised learning, clustering techniques
Fourth lecture
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Supervised learning
Fifth lecture
- PDF Lectures
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5ARE0-Lecture-20250902
PDF Document
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5ARE0-Lecture-20250905
PDF Document
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5ARE0-Lecture-20250909
PDF Document
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5ARE0-Lecture-20250912
PDF Document
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5ARE0-Lecture-20250916
PDF Document
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5ARE0-Lecture-20250919
PDF Document
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- Human and ethical aspects of AI
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Coursebook
PDF Document
- Assignment
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5ARC0 Case Descriptions 2025 Aug
PDF Document
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Assignment Phase 1 Format
PDF Document
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Client Meeting
Assignment 1 - Meeting with the client to discuss AI for ethics review
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- Notes
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Introduction to ethics and the course
First lecture
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Fairness and AI
Fourth lecture
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- Past Exams
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2022 Exam Answer Key
PDF Document
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2022Exam
PDF Document
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2023 5ARC0 Final Exam Key
PDF Document
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2023 Written Exam
PDF Document
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2023-10-17 Practice Exam Key
PDF Document
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2023-10-17 Practice Exam
PDF Document
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2024 Exam Answer Key
PDF Document
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Practice Exam New Topics Key
PDF Document
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- PDF Lectures
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- Software Engineering for AI
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Assesment
Course assesment
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Git and Github Tutorial-Assignment 1
This is the Readme file for the first assignment and weighs a 10% of the total grade
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