Courses in previous years: [ 1998  2000  2002  2003  2004  2005  2006 ]
Lecturers  PhD (Eng.) Francesco Corona PhD (Eng.) Amaury Lendasse 

Assistant  M.Sc. Elia Liitiäinen 
Credits (ECTS)  7 
Semester  Spring 2007 (during periods III and IV) 
Seminar sessions  On tuesdays 1416 in computer science
building, Konemiehentie 2, Otaniemi, Espoo. The first session is on 23.1.2007 in lecture hall T4. 
Language  English 
Web  http://www.cis.hut.fi/Opinnot/T61.6030/ 
eliitiai (at) cc.hut.fi lendasse (at) hut.fi 
Functional data analysis (FDA) is a framework for analyzing data in function spaces. Instead of discrete vectors, the data consists of functions and is thus infinite dimensional. FDA offers statistical tools for handling the high dimensionality of the data using smoothness properties of the functions. Functional data analysis combines statistical methods with wellknown mathematical techniques for analyzing curves. The usefulness of these methods depends largely on the smoothness of the functions. Many classical statistical and machine learning methods have their functional counterparts. Often this type of generalization of wellknown methods leads to surprisingly elegant interpretations, which show totally new ways to use the methods. Functional data analysis is not only of theoretical interest, but arises from practical needs. Functional data is common for example in chemometry, econometrics and machine learning. Further information on FDA can be found here. 
Each student gives a presentation in the seminar. In addition, requirements include a project work and active participation in the lectures (one absence is allowed). 
We will use the following two books:

Time  Lecturer  Topic  Slides 

23.1.  Amaury Lendasse  Presentation of the Course  slides 
30.1.  Elia Liitiäinen  Ramsay: Chapters 1,2,3  slides 
6.2.  Yoan Miche  Ramsay: Chapters 4,5,6  slides 
13.2  Ville Turunen  Ramsay: Chapters 7,8,9  slides 
20.2  Markus Kuusisto  Ramsay: Chapter 10,11,12  slides 
27.2  Antti Sorjamaa  Ramsay: Chapters 13,14,15  slides 
6.3  Exam week  
13.3  Zhirong Yang  Ramsay: Chapters 16,17,18  slides 
20.3  Francesco Corona  Presentation of the project  slides 
27.3  Elia Liitiäinen and Yoan Miche  Ferraty: Chapters 1,2,3,4  slides1, slides2 
3.4  Markus Kuusisto and Ville Turunen  Ferraty: Chapters 5,6,7  slides1, slides2 
10.4  Easter vacation  
17.4  Antti Sorjamaa and Zhirong Yang  Ferraty: Chapters 8,9,12  slides1, slides2, slides3 
Information about the project work is available here.

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