Course - Intelligent systems - IE303312
IE303312 - Intelligent systems
About
Examination arrangement
Examination arrangement: Oral examination
Grade: Letters
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral examination | 100/100 | E |
Course content
The course topics will vary each year, dependent on available teachers and scientific interests. A selection of topics will be made public at the start of the semester. Possible topics include:
Introduction to artificial intelligence and intelligent agents
Problemsolving and search methods
Knowledge, reasoning, and planning (KRP)
Uncertainties and probabilities in KRP
Learning
Communication, perception, action
Typical methods and terminology that will be studied are:
Genetic algorithm (GA)
Neural networks (NN)
Particle swarm optimisation (PSO)
Ant colony optimisation (ACO)
Intelligent agents
Intelligent algorithms such as BFS,DFS, A*, D*, Dijkstra's algorithm
Expert systems
Fuzzy logic
Classification systems
Machine learning
Artificial intelligence (AI)
Computational intelligence (CI)
Etc.
Learning outcome
Læringsutbytte - Kunnskap:
present the selected topics, emphasising application, methods, and advantages/disadvantages.
Læringsutbytte - Ferdigheter:
construct models and implement simulations of the models within the scope of the selected topics.
solve practical and theoretical problems using the methods in the selected topics.
Læringsutbytte - Kompetanse:
find, study, understand and use relevant scientific literature as a foundation for developing own models and simulations.
document own work in a scientifically satisfactorily manner through the written assignments.
Learning methods and activities
Pedagogiske metoder:
Lectures, assignments individually or in groups, literature study, discussion, demonstrations, all with a focus on application and simulation. Compulsory assignment with feedback from the teacher.
Obligatoriske arbeidskrav:
All compulsory assignments must be passed for admission to the exam. The assignments are gathered in a portfolio that forms the basis for the oral exam.
Compulsory assignments
- Mandatory assignment
Recommended previous knowledge
Courses from first and second year.
No
Version: 1
Credits:
10.0 SP
Study level: Third-year courses, level III
Term no.: 1
Teaching semester: AUTUMN 2019
Language of instruction: -
Location: Ålesund
- Engineering
Department with academic responsibility
Department of ICT and Natural Sciences
Examination
Examination arrangement: Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral examination 100/100 E 2019-12-11
-
Room Building Number of candidates A434 Hovedbygget 0 - Spring UTS Oral examination 100/100 E 2020-05-06
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"