Omfattning: 5
Tidtabel: 07.01.2019 - 15.02.2019
Kontaktuppgifter till kursens personal (gäller denna kursomgång):
Professors Visa Koivunen, Sergiy Vorobyov, Esa Ollila (e-mail: firstname.lastname@aalto.fi)
Please contact by email.
Undervisningsperiod (är i kraft 01.08.2018-31.07.2020):
III - IV 2018 – 2019, 2019 – 2020 (spring)
Lärandemål (är i kraft 01.08.2018-31.07.2020):
Students are able to recognize the problems of processing data of large scale problems that arise in engineering and computer science. Students can describe the basic theory of such problems, concentrating on results that are useful in computation. Students have a thorough understanding of how such problems are thought of and addressed, and some experience in solving them. Students can apply the methods in their own research work. Students know a number of examples of successful application of the techniques for signal processing of large scale data. More detailed and revised learning outcomes are presented at the beginning of the course.
Innehåll (är i kraft 01.08.2018-31.07.2020):
Optimization, subgradient methods, statistical learning.
Metoder, arbetssätt och bedömningsgrunder (är i kraft 01.08.2018-31.07.2020):
Lectures, exercises, assignments.
Arbetsmängd (är i kraft 01.08.2018-31.07.2020):
Lectures, excercises approximately 50 h, assignments and independent studying approximately 83 h, total 133 h
Attendance in some contact teaching may be compulsory.
Ersättande prestationer (är i kraft 01.08.2018-31.07.2020):
ELEC-E5430 Signal Processing for Large Scale Data Analysis L
Kursens webbplats (är i kraft 01.08.2018-31.07.2020):
https://mycourses.aalto.fi/course/search.php?search=elec-e5431
Förkunskaper (är i kraft 01.08.2018-31.07.2020):
Recommended ELEC-E5422 Convex Optimization I P and ELEC-E5440 Statistical Signal Processing P
Bedömningsskala (är i kraft 01.08.2018-31.07.2020):
0...5
Anmälning (är i kraft 01.08.2018-31.07.2020):
In WebOodi
Tilläggsinformation (är i kraft 01.08.2018-31.07.2020):
Language Class 3: English
- Lärare: Koivunen Visa
- Lärare: Ollila Esa
- Lärare: Vorobyov Sergiy