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Course Catalog 2013-2014
SGN-90006 Signal Processing Doctoral Seminar, 2 cr
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Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Lecture times and places |
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Description:
SGN-90006 Signal processing doctoral seminar, 3cr 3rd period, Wednesdays 10-12 at TB220 (TB215 on 15.1.2014 and TB214 on 5.2.2014 exceptionally) First meeting 8.1.2014 Instructors: Olli Yli-Harja Instructor reception on wednesdays 14-16 at TE306 Requirements: One student presentation and participation in lectures and presentations Registration: By email to yliharja@cs.tut.fi or at the first lecture Challenges in computational modeling and machine learning The focus of the seminar is to explore limitations of machine learning, basic assumptions on which mathematical modeling is based on, and principled limitations of computational approaches in science. The seminar is composed of a series of invited lectures ranging from statistical inference, machine learning to the pragmatistic approach to the philosophy of science, and student presentations on selected topics. Individual guidance sessions with the instructor are available for students to help the preparation of their presentations. The seminar concentrates on principled properties and limitations of computational approaches instead of details of algorithmic methods. The aim is to reveal useful viewpoints that are applicable in practical engineering work, e.g. related to "big data". We study success cases in machine learning as well as approaches which run into unavoidable difficulties.
Person responsible:
Karen Eguiazarian
Ulla Ruotsalainen
Ioan Tabus
Ari Visa
Target groups:
Jatkotutkinto-opiskelijat
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course