Masterprogram i systemvetenskap

Course materials for SSY2M at Uppsala universitet, shared by classmates.

Lecture 1 - What is intelligence - lecture
Lecture

Lecture 1 - What is intelligence

2025
Lecture 10 - Model evaluation - lecture
Lecture

Lecture 10 - Model evaluation

2025
Lecture 13 - GD-BP-CNN-TL - lecture
Lecture

Lecture 13 - GD-BP-CNN-TL

2025
Lecture 14 - Reinforcement Learning - lecture
Lecture

Lecture 14 - Reinforcement Learning

2025
Lecture 15 - Generative AI - lecture
Lecture

Lecture 15 - Generative AI

2025
Lecture 2 - Systems and agents - lecture
Lecture

Lecture 2 - Systems and agents

2025
Lecture 3 - Solving with search - lecture
Lecture

Lecture 3 - Solving with search

2025
Lecture 4 - Expert systems - lecture
Lecture

Lecture 4 - Expert systems

2025
Lecture 5 - Overview of ML-dist - lecture
Lecture

Lecture 5 - Overview of ML-dist

2025
Lecture 6 - What is data - lecture
Lecture

Lecture 6 - What is data

2025
Lecture 7 - Data and computation - lecture
Lecture

Lecture 7 - Data and computation

2025
Lecture 8 - SL and UL methods - lecture
Lecture

Lecture 8 - SL and UL methods

2025
Lecture 9 - Decision trees - lecture
Lecture

Lecture 9 - Decision trees

2025
Namnlöst dokument (2) - past-exam
Past Exam

Namnlöst dokument (2)

2026
Neural Networks intro - lecture
Lecture

Neural Networks intro

2025
UU Lecture 2025-Oct (1) - lecture
Lecture

UU Lecture 2025-Oct (1)

2025