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This course is no longer available, see the current course list.

INF5450 - Evolutionary Computing and Evolvable Hardware

Facts about this course:
Credits:5
Level:Advanced course at master's level
Teaching semester:Every autumn semester

A certain number of students is required for the course to be taught ordinarily. Otherwise the course can be taken as selfstudy.

Examination semester:Every autumn semester
Language of instruction:English if requested by exchange students, otherwise Norwegian
Administrated by:Department of Informatics (Ifi)
Detailed course information - Current and previous semesters:

Course content

Evolutionary computation harnesses the power of natural evolution to turn computers into automatic optimisation and design tools. The three mechanisms that drive evolution forward are reproduction, mutation and the principle of survival of the fittest.

The course introduces the most commonly used algorithms. This is followed up by applying them to hardware design. This allows electronic circuits (analog or digital) to be designed with only specifying the wanted behavior rather than their exact architecture. The motivation for this method is that it could provide better design of systems for real-world applications, which traditional design methods cannot achieve.

Learning outcomes

To give an introduction to artificial evolution and how it can be applied to hardware design.

Admission

Students at UiO must apply for courses in StudentWeb.

International applicants, if you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.

The examination in this course is not available for external candidates. Only students admitted to the course may sit for the examination.

Prerequisites

Recommended prior knowledge

INF1400 - Digital technology or equivalent knowledge in digital design

Overlap

5 credits against INF-EHW.

Teaching

2 hours of lectures per week. There may be obligatory task(s) to be handed in and passed to be admitted to take the exam.

Exam information

Oral or 3 hour written examination at the end of the semester. Graded marks.

Assessment and grading

Course grades are awarded on a descending scale using alphabetic grades from A to E for passes and F for fail. Read more about the grading system .

Possibility of make-up exams and re-takes

You can usually resit an exam, but the conditions depend on whether you had a valid reason for absence from the regular exam. Read more about resitting an exam .

Other information

Note that the first lecture is compulsory. The subject is regarded equal to INF-EHW when practicing exam regulations.

Course Auditor: Morten Hartmann

Contact us

Department of Informatics (Ifi)

Visiting address: 
Informatics builidng, First floor, room 2316, Gaustadalléen 23

Visiting hours: 
Monday-friday 12:00-15:00

Postal address: 
P.o.Box 1080, Blindern
NO-0316 Oslo

Phone: +47 22 85 24 10
Fax: +47 22 85 24 01
E-mail: 
Web: http://www.mn.uio.no/ifi/english/