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Høst 2022

DTE-2501 AI Methods and Applications - 10 stp


The course is administrated by

Institutt for datateknologi og beregningsorienterte ingeniørfag

Type of course

This course can be taken as a single subject course

Course contents

The course targets machine-based problem solving and basic Natural Language processing methods. The course introduces swarm intelligence, ant colony optimization, and genetic algorithms. Further on, fuzzy systems and fuzzy computing are introduced along with ensemble techniques, inductive systems, entropy, elementary clustering techniques K-NN, K-means and reinforcement learning along with Dynamic Programming.

Objective of the course

On completion of the course, the successful student is expected to have the following:

Knowledge

The student will have:

Skills

The student should be able to:

General Competence


Language of instruction

English

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

Portfolio hand in date 09.12.2022

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.