Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
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.
Schedule: 12.01.2021 - 17.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Visa Koivunen, Esa Ollila, Esa Ollila, Sergiy Vorobyov
Teacher in charge (applies in this implementation): Visa Koivunen, Esa Ollila, Esa Ollila, Sergiy Vorobyov
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Optimization, subgradient methods, statistical learning.
Assessment Methods and Criteria
Lectures, exercises, assignments.
Lectures, excercises approximately 50 h, assignments and independent studying approximately 83 h, total 133 h
Attendance in some contact teaching may be compulsory.
Substitutes for Courses
ELEC-E5430 Signal Processing for Large Scale Data Analysis L
Recommended ELEC-E5422 Convex Optimization I P and ELEC-E5440 Statistical Signal Processing P
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure