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
- IT-3030: Deep Learning
- IT-3105: AI Programming
- IT-3708: Bio-Inspired AI
- TDT-4136: Introduction to AI
- TDT-4137: Cognitive Architectures
- TDT-4150: Advanced Database Systems
- TDT-4171: AI Methods
- TDT-4173: Machine Learning
- TDT-4225: Very Large, Distributed Data Volumes
- TDT-4300: Data Warehouse and Data Mining
- TDT-4305: Big-Data Architecture
- TDT-4310: Intelligent Text Analytics and Language Understanding
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 (unavailable in 2020)
- TDT-99: Modern AI for Time-Series Analysis