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Høst 2022
DTE-2501 AI Methods and Applications - 10 stp
The course is administrated by
Type of course
Course contents
Objective of the course
On completion of the course, the successful student is expected to have the following:
Knowledge
The student will have:
- An overview of numerous approaches in artificial intelligence.
- Basic understanding of possibilities and limitations of the approaches presented in the course.
- Basic understanding of the theory and application of the approaches presented in the course.
Skills
The student should be able to:
- Program, adapt and apply AI algorithms on predefined problems.
- Analyze and evaluate results of AI algorithms.
General Competence
- Can apply the knowledge and skills to solve problems and communicate about the results with other specialists in the field of computer science.
Language of instruction
Teaching methods
The subject uses so-called "Flipped classroom", i.e., lectures are posted online continuously during the semester in the form of short instructional videos and demonstrations of 10-20 minutes. In addition, exercises and control questions related to each video are used.
The subject teaches in the autumn semester with teacher-led and assistant-led learning and / or exercises. Online students will have access to a teaching assistant for afternoon / evening support.
Date for examination
The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.