Syllabus/achievement requirements

Syllabus

1. The lecture notes (you can find them in the Schedule where they are being added right before or after each lecture)
2. A.E. Eiben and J.E. Smith: Introduction to Evolutionary Computing, Second Edition (ISBN 978-3-662-44873-1, available online here when on the UiO network) Springer. (much overlap with the old version: 2nd printing, 2007, see INF3430/2015 for chapter numbers).  
   • ??Chapters being syllabus is specified in the Schedule.
3.  S. Marsland: Machine learning: An Algorithmic Perspective. SECOND EDITION (2015), ISBN: 978-1-4665-8328-3, available online here when on the UiO network BUT only for TWO concurrent users  
   • ??Chapters being syllabus is specified in the Schedule.
4. On-line papers (available for download when on the UiO network)
   • Particle Swarm Optimization (only the section about PSO in the pdf) 
   • Cartesian Genetic Programming chapter (chapter 2 only, you can skip section 2.5)
   • Deep learning. Nature vol 521, pages 436¨C444, (28 May 2015) 
5. On-line document (English translated excerpt from Chapter 6 in the book hva er KUNSTIG INTELLIGENS):
   • ??Future Perspectives on Artificial Intelligence (AI) - What to expect and should we worry?

Supporting literature (not syllabus, in Norwegian)

Jim T?rresen: hva er KUNSTIG INTELLIGENS, 2013, Universitetsforlaget, ISBN: 9788215020211

Obligatory Mid-Term Exercises (each exercise is PASS/FAIL):

1. Two exercises on evolutionary algorithm and machine learning.
2. Students registered for INF4490 will be given additional excercises within area of the course.