5 ECTS credits
150 h study time
Offer 2 with catalog number 2019977BNR for all students in the 2nd semester at a (B) Bachelor - advanced level.
This course presents a broad and deep coverage of the fundamental concepts of a range of approaches to Artificial Intelligence.
1. Introduction to Artificial Intelligence
2. Intelligent Agents
3. Knowledge Representation and Reasoning
4. Searching for Solutions
5. Learning to classify
6. Representing and reasoning with uncertainty
Supplementary information like the course slides, AI Resources on the Web, an Online Code Repository in Python and Comments and Discussion can be found on the webpage of the book used in the course, i.e. http://aima.cs.berkeley.edu/.
• Knowledge and insight: On passing this course, a student will have a good overview and basic knowledge of symbolic AI-techniques, formalisms and their applications.
• Application of knowledge and insight: On passing this course, a student will be able to make judgements about when particular techniques should be applied to solve particular problems and to compare and contrast the advantages of different techniques for particular problems.
• Independent thinking: On passing this course, a student will be equipped to collect and interpret literature about topics in AI. He or she will be able to understand basic and intermediate literature to a sufficient level to implement AI solutions to given problems.
• Communication: On passing this course, a student will be able to communicate ideas about symbolic AI to experts and non-experts.
• Skills: On passing this course, a student will have further developed independent learning skills and autonomy in scientific and engineering work.
The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.
Within the Other Exam category, the following assignments need to be completed:
Written exam.
This offer is part of the following study plans:
Bridging Programme Master of Science in Applied Sciences and Engineering: Computer Science: Standaard traject (only offered in Dutch)
Bridging Programme Master of Science in Applied Computer Science: Standaard traject (only offered in Dutch)
Preparatory Programme Master of Science in Applied Sciences and Engineering: Computer Science: Track C (Ind Ing, 61 ECTS) (only offered in Dutch)
Preparatory Programme Master of Science in Applied Sciences and Engineering: Computer Science: Track A (76 ECTS) (only offered in Dutch)
Preparatory Programme Master of Science in Applied Sciences and Engineering: Computer Science: Track B (65 ECTS) (only offered in Dutch)
Preparatory Programme Master of Science in Applied Computer Science: Enkel voor studenten industriële wetenschappen (only offered in Dutch)
Preparatory Programme Master of Science in Applied Computer Science: Track A (58 ECTS) (only offered in Dutch)
Preparatory Programme Master of Science in Applied Computer Science: Track B (52 ECTS) (only offered in Dutch)