IKT710 Learning in Random Environments (Høst 2020)
- Studiepoeng:
- 5
- Ansvarlig avdeling:
- Fakultet for teknologi og realfag
- Undervisningssemester:
- Høst og Vår
- Varighet:
- ½ år
Innholdsfortegnelse
Emnet er tilknyttet følgende studieprogram
Anbefalte forkunnskaper
IKT623 or equivalent
Læringsutbytte
After completing the course, the student is expected to:
- have insight into Learning Automata (LA) methods and their applications especially
concentrating on the areas of security and communications
- be able to solve research problems within security and communications using LA-based tools
Innhold
The heart of the course will involve deterministic and stochastic learning automata with fixed and
variable structures. We will study their operation in random environments and the various norms of
learning. The learning algorithms studied will be the linear and non-linear learning schemes of the
continuous and discretised families with ergodic and non-ergodic properties. Estimator algorithms
will also be examined. We will also discuss machines which can rank actions. Finally, the student
shall conduct a project dealing with recent (up to within the last few months) applications of learning automata in security and communications.
Undervisnings- og læringsformer
Eksamen
Approved project report.
Oral examination. Pass/Fail