Course - Bio-Inspired Artificial Intelligence - IT3708
IT3708 - Bio-Inspired Artificial Intelligence
About
Examination arrangement
Examination arrangement: Work
Grade: Letters
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Arbeider | 100/100 |
Course content
The main focus of the course is to build intelligent systems based on two key natural concepts: evolution by natural selection and swarm intelligence. Such intelligent systems have thousands of useful applications in fields as diverse as control theory, telecommunications, music and art. This course discusses both methods in great detail along with providing a bit of the biological basis for each.
Learning outcome
Students will get both theoretical and practical programming experience with two of the best known sub-symbolic AI methods: evolutionary algorithms and swarm intelligence algorithms.
Learning methods and activities
Regular lectures and exercises. The final grade is based 100% upon the practical work, which normally consist of large programming projects along with essays/theoretical exercises.
This course is programming intensive and thus does not suit students who dislike writing code. Groups of 2 students collaborate on programming projects that take ca 3-4 weeks. Further, most projects will require some individuelle effort, without the possibility to collaborate. The other exercises, that consists solely of a report/theoretical exercise, must be done individually, with no assistance given by one student to another.
Further on evaluation
Retake of the course will require new participation/deliverables in all activities.
Specific conditions
Admission to a programme of study is required:
Computer Science (MIDT)
Computer Science (MTDT)
Industrial Economics and Technology Management (MTIØT)
Informatics (MIT) - some programmes
Informatics (MSIT)
Recommended previous knowledge
TDT4120 Algorithms and Data Structures, TDT4136 Introduction to Artificial Intelligence, TDT4171 Artificial Intelligence Methods, and requires previous knowledge in Discrete Mathematics comparable with MA0301 Elementary Discrete Mathematics.
Required previous knowledge
The course is only available for students following a specialization in Artificial Intelligence under the programs MTDT, MIDT, MIT, MTIØT.
Course materials
Lecture slides, a textbook (possibly 2). Textbooks are chosen at the beginning of the semester.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| MNFIT378 | 7.5 | ||
| MNFIT378 | 7.5 | ||
| IT8801 | 7.5 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2020
Language of instruction: English
Location: Trondheim
- Informatics
- Technological subjects
Department with academic responsibility
Department of Computer Science
Examination
Examination arrangement: Work
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Spring ORD Arbeider 100/100
-
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"