TEACHING
LEONARDO STELLA - DLC Research Group
COURSES
COURSES
EECI ISGC 2024
University of Birmingham
NEW 2024/2025
NEW 2024/2025
NEW BSc and MSc Projects
For more information about the project ideas, click here.
NEW BSc and MSc Projects
For more information about the project ideas, click here.
NEW Artificial Intelligence I (BSc 1st year) - Spring 2025
NEW Artificial Intelligence I (BSc 1st year) - Spring 2025
NEW Game Theory (BSc 3rd year/MSc) - Spring 2025
NEW Game Theory (BSc 3rd year/MSc) - Spring 2025
2023/2024
2023/2024
Artificial Intelligence I (BSc 1st year) - Spring 2024
Artificial Intelligence I (BSc 1st year) - Spring 2024
2022/2023
2022/2023
AI1/Artificial Intelligence and Machine Learning (1st year/MSc) - Spring 2023
Naive Bayes -- Fundamentals of Probability Theory, Bayes' Theorem, Naive Bayes
k-Nearest Neighbours
Uninformed Search -- Asymptotic Analysis, Breadth-First Search, Depth-First Search and Variations
Informed Search -- Heuristics, A*
AI1/Artificial Intelligence and Machine Learning (1st year/MSc) - Spring 2023
Naive Bayes -- Fundamentals of Probability Theory, Bayes' Theorem, Naive Bayes
k-Nearest Neighbours
Uninformed Search -- Asymptotic Analysis, Breadth-First Search, Depth-First Search and Variations
Informed Search -- Heuristics, A*
Data Science Group Projects (MSc) - Spring 2023
Supervising students on the Responsible Data Science Programme
Data Science Group Projects (MSc) - Spring 2023
Supervising students on the Responsible Data Science Programme
Storing and Managing Data (MSc) - Fall 2022
Introduction to Relational Databases
Entity Relationship Modelling and Normalisation
SQL: Creating, Populating and Querying a DB
GDPR and the IRAC (Issue, Rules, Analysis, Conclusion) Method
Storing and Managing Data (MSc) - Fall 2022
Introduction to Relational Databases
Entity Relationship Modelling and Normalisation
SQL: Creating, Populating and Querying a DB
GDPR and the IRAC (Issue, Rules, Analysis, Conclusion) Method
2021/2022
2021/2022
AI1/Artificial Intelligence and Machine Learning (1st year/MSc) - Spring 2022
Naive Bayes -- Fundamentals of Probability Theory, Bayes' Theorem, Naive Bayes
k-Nearest Neighbours
Uninformed Search -- Asymptotic Analysis, Breadth-First Search, Depth-First Search and Variations
Informed Search -- Heuristics, A*
AI1/Artificial Intelligence and Machine Learning (1st year/MSc) - Spring 2022
Naive Bayes -- Fundamentals of Probability Theory, Bayes' Theorem, Naive Bayes
k-Nearest Neighbours
Uninformed Search -- Asymptotic Analysis, Breadth-First Search, Depth-First Search and Variations
Informed Search -- Heuristics, A*
University of Derby
Game Behaviour (3rd year) -- Fall 2019, Fall 2020
Game Behaviour (3rd year) -- Fall 2019, Fall 2020
Databases (2nd year) -- Fall 2019, Fall 2020, Fall 2021
Databases (2nd year) -- Fall 2019, Fall 2020, Fall 2021
Graphics II (2nd year) -- Spring 2020, Spring 2021
Graphics II (2nd year) -- Spring 2020, Spring 2021
Language Design and Implementation (3rd year) -- Spring 2020, Spring 2021
Language Design and Implementation (3rd year) -- Spring 2020, Spring 2021