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Archived teaching schedules 2017–2018
You are browsing archived teaching schedule. Current teaching schedules can be found here.
MTTTS11 Master's Seminar and Thesis - seminar 40 ECTS
Periods
Period I Period II Period II Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Mathematics and Statistics
Faculty of Natural Sciences

Learning outcomes

The student can perform independent research in computational big data analytics and can report the underlying theory of the chosen methods and the achieved results in an understandable fashion. The student can comprehend scientific areas of knowledge and can follow ongoing developments in the student's field. The student is able to present the topic of the pro gradu thesis and the produced analysis results to other students in an understandable manner during the seminar.

Enrolment for University Studies

If you are considering to begin the thesis work, it is a good time to enrol. It is recommended that you'd begin the seminar before you have agreed on the topic and/or supervisor of the thesis.

Students can enrol any time, not just at the beginning of the period. If enrolment is not open, contact the teacher by email.

Enrollment for the whole academic year 2017-2018:

Enrolment time has expired

Teachers

Jaakko Peltonen, Teacher responsible
jaakko.peltonen[ät]tuni.fi

Teaching

5-Sep-2017 – 25-May-2018
Seminar
Autumn 2017
Tue 12-Sep-2017 - 12-Dec-2017 weekly at 12-14, Pinni B2077, exact dates agreed at the beginning of the semester.
Spring 2018
Tue 9-Jan-2018 - 22-May-2018 weekly at 12-14, Pinni B0016, exact dates agreed at the beginning of the semester.
Faculty of Natural Sciences
The Course is part of the following teaching schedule
Faculty of Natural Sciences
Master's Degree Programme in Computational Big Data Analytics