Programme Outlines and Overviews

Artificial Intelligence 7.5 credits

Course content

The course is a basic course in artificial intelligence with a focus on traditional AI, i.e., GOFAI. The course covers many different basic and intermediate topics in the field, alternating theory with practice. After completing the course, the student shall have acquired a basic, but broad, knowledge in the field of artificial intelligence. Specifically, the student should understand and know how to apply all the theoretical concepts covered.

The main concepts included in the course are:

Traditional AI: Problem representation, production systems, search with and without heuristics, planning, expert systems, automated reasoning, propositional logic, predicate logic, resolution
Reasoning under uncertainty: Bayesian inferencing and other approaches
Programming in Prolog: Basic syntax and semantics, lists, structures, recursion, ADT's, implementation of production systems and search algorithms. Constraint logic programming
Intelligent agents: terminology, environments, different types of agents
Basic game theory, the minimax algorithm, agents for game playing
Agents for Markov decision processes

Entry requirements

The applicant must hold the minimum of a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in Computer Engineering, Computer Science or Electrical Engineering (with relevant courses in computer engineering), or equivalent, or passed courses at least 150 credits from the programme Computer Science and Engineering. The bachelor’s degree should comprise a minimum of 15 credits in mathematics. Proof of English proficiency is required.

Level: Second cycle

Course/Ladok-code: TARI29

School: School of Engineering