Big Data and AI (DART) Courses
- This web page is designed to provide access to descriptions of the main technical contents of all IDI courses (taught by members of the DART group) involving databases, big data, and/or artificial intelligence.
- The links below point to different types of sources, depending upon which give the best technical overview, according to the course instructor(s).
REGULAR COURSES (Bachelor- and Master-Level)
Artificial Intelligence
- TDT-4136: Introduction to AI
- TDT-4172: Introduction to Machine Learning
- TDT-4171: AI Methods
- TDT-4173: Advanced Machine Learning
- TDT-4137: Cognitive Architectures
- IT-3105: AI Programming
- IT-3708: Bio-Inspired AI
- TDT-4310: Intelligent Text Analytics and Language Understanding
- TDT-4215: Recommender Systems
Databases and Information Systems
- TDT-4117: Information Retrieval
- TDT-4145: Data Modelling and Database Systems
- TDT-4150: Advanced Database Systems
- TDT-4225: Very Large, Distributed Data Volumes
- TDT-4300: Data Warehouse and Data Mining
- TDT-4305: Big-Data Architecture
THEORY MODULES
All of these are given in the autumn semester of the final year of the master's program.
- TDT-02: Advanced, Distributed Systems
- TDT-04: Advanced Bio-Inspired Methods
- TDT-05: Modern Machine Learning in Practice
- TDT-12: Computational Creativity
- TDT-13: Advanced Text Analytics and Language Understanding
- TDT-41: From Networks to Causal Models in AI
- TDT-55: Knowledge-Intensive CBR
- TDT-99: Modern AI for Time-Series Analysis