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Shortly in english: This course area is available only as a archive, please use noppa courseportal. Times for lectures can be found at http://www.lut.fi/fi/lut/studies/tools/schedules/Lukujarjestykset/tite.htm

CT20A5100 - INTRODUCTION TO MACHINE VISION AND MACHINE LEARNING - 6 ECTS

Lecturer: Researcher/Teacher, Docent, D.Sc. (Tech.) Joni Kämäräinen
Goals: Students should know the application areas, restrictions, and structure of machine vision systems. Students should be able to operate on digital images: capture images and extract basic visual information from them. Students should know the basics of machine learning and approaches to decision making using computer.
Content: M.Sc. (Tech.) 1, Period 3-4
Applications of machine vision. Parts of machine vision system and their properties. Basics of digital imaging and image processing. Applications of machine learning. Describing intelligence and decision making in a computer. Approaches: statistical, rule-based, decision trees, neural networks, continuous-value problems, clustering, decision-support systems. Expert systems.
Lectures 21 h, exercises 14 h, homeworks, 3rd period.
Lectures 21 h, exercises 14 h, homeworks, 4th period. Exam.
0 - 5. Exam 100 %. Exercises and homeworks.
Required: Matematiikka A and B, CT20A0200 Ohjelmoinnin perusteet.
Literature: Davies, E.R.: Machine Vision, 3rd Edition, Elsevier, 2005.
Mitchell, T.M.: Machine Learning, McGraw-Hill, 1997.
Lectures: 42
Times and places: Periods 3-4, Thursdays 10:15-13:00, room 3310
Exercises: 28 hours.
Times and places: Period 3: Wednesdays 12:15-14:00 room 2305
Period 4: Wednesdays 12:15-14:00 room 2303