The course is divided into two main parts: The first part covers the fundamental principles of artificial intelligence, while the second part focuses on ai in automotive industry.
This curriculum includes comprehensive books that complement the courses and provide deeper insights into the subjects covered in each module of the Master's program in Applied Artificial Intelligence in Automotive.
Duration: 2 Semesters
Semester 1
| Module | Courses | Alternative Course Links | Time and Duration | Books |
|---|---|---|---|---|
| Machine Learning | Machine Learning (Coursera) | Practical Machine Learning (Udacity) | 12 weeks | - "Pattern Recognition and Machine Learning" by Christopher M. Bishop |
| - "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron | ||||
| Deep Learning | Deep Learning Specialization (Coursera) | Deep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy) | 16 weeks | - "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville |
| - "Deep Learning with Python" by François Chollet | ||||
| Reinforcement Learning | Reinforcement Learning Specialization (Coursera) | Practical Reinforcement Learning (Coursera) | 10 weeks | - "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto |
| - "Algorithms for Reinforcement Learning" by Csaba Szepesvári | ||||
| Inference and Causality | Causal Inference (Coursera) | Probabilistic Graphical Models (Coursera) | 8 weeks | - "Causal Inference in Statistics: A Primer" by Judea Pearl |
| - "Probabilistic Graphical Models: Principles and Techniques" by Daphne Koller and Nir Friedman | ||||
| Seminar: Current Topics in AI | Advanced AI Seminar (edX) | AI Ethics (Coursera) | 12 weeks | - "Artificial Intelligence: A Guide for Thinking Humans" by Melanie Mitchell |
| - "Ethics of Artificial Intelligence and Robotics" edited by Vincent C. Müller | ||||
| Architectures of Self-Driving Vehicles | Self-Driving Car Specialization (Coursera) | Autonomous Navigation for Flying Robots (Coursera) | 14 weeks | - "Self-Driving Cars: The Next Revolution" by Wendell Wallach and William Cameron |
| - "Autonomous Mobile Robots: Sensing, Control, Decision Making, and Applications" by Eduardo Nebot |
Semester 2
| Module | Courses | Alternative Course Links | Time and Duration | Books |
|---|---|---|---|---|
| Case Study: Localization, Motion Planning and Sensor Fusion | Self-Driving Car Specialization (Coursera) | Autonomous Mobile Robots (Coursera) | 16 weeks | - "Probabilistic Robotics" by Sebastian Thrun, Wolfram Burgard, and Dieter Fox |
| - "Robotics: Modelling, Planning and Control" by Bruno Siciliano, Lorenzo Sciavicco, et al. | ||||
| Functional Security | Cybersecurity Specialization (Coursera) | Security in Google Cloud Platform (Coursera) | 10 weeks | - "Security Engineering: A Guide to Building Dependable Distributed Systems" by Ross J. Anderson |
| - "Hands-On Cybersecurity for Architects" by Neil Rerup | ||||
| Computer Vision for Autonomous Systems | Computer Vision Basics (Coursera) | Convolutional Neural Networks for Visual Recognition (Stanford Online) | 14 weeks | - "Computer Vision: Algorithms and Applications" by Richard Szeliski |
| - "Deep Learning for Vision Systems" by Mohamed Elgendy | ||||
| Master Thesis | N/A | N/A | 6 months | - "How to Write a Master's Thesis" by Yvonne N. Bui |
| - "The Craft of Research" by Wayne C. Booth, Gregory G. Colomb, and Joseph M. Williams |