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School of Science and Technology

Introduction to Artificial Intelligence, 3 Credits

Örebro University is offering an introduction course in artificial intelligence. The course will address the basic concepts within classical artificial intelligence (other than machine learning). Traditional artificial intelligence is characterized by the so-called declarative approach to problem solving. The course deals with a selection of different intelligent problem-solving methods, both in theory and practice.

Introduction to artificial intelligence

After completing the course, the student will be able to model and use appropriate generic solution algorithms to solve problems in an intelligent system. The course is part of the education initiative Smarter at Örebro University.

The course provides a general idea of a large selection of subareas within AI. These include in theory and practice:

  • Basic concepts of artificial intelligence, the declarative method to problem solving.
  • Generic problem-solving methods like search methods, heuristic optimisation, constraint satisfaction and basic intelligent planning methods.
  • Semantic representation of data.
  • Conditions for, and use of intelligent problem-solving algorithms.
  • Ethical consideration in intelligent algorithms.

The course does not cover machine learning since that is part of the course DT100U Introduction to machine learning.

The course is designed as a distance learning course with a few compulsory activities. It consists of a series of online lectures, group discussions, compulsory independent study exercises and seminar presentations and a case-based learning task.

  • First class (official start): 13 September 2019, 09:00–12:00
  • Second class (follow-up): 8 November 2019, 09:00–12:00
  • Last class (course completion): 13 December 2019, 09:00–12:00

Please note that the course is taught in English.

This contract education initiative is aimed at working professionals with a higher education qualification of 180 credits earned at the first cycle (bachelor's level) with computer science/computer technology as the main field of study, or alternatively a higher education qualification of 180 credits earned at the first cycle (bachelor's level) in e.g. computer technology/computer science/systems science (which includes computer programming).

In addition, English B/English 6 is required.

The course is free of charge.

The application is open.

Coordinator of Smarter and professional education in AI

Johan Axelsson

Title: Contract Education Coordinator School/office: Communication and Collaboration

Profile page: Johan Axelsson

Email:

Phone: +46 19 303211

Room: T2201

Johan Axelsson

Course administrator

Jenny Tiberg

Title: Study and Research Administrator School/office: School of Science and Technology

Profile page: Jenny Tiberg

Email:

Phone: +46 19 303320

Room: T1109

Jenny Tiberg