Credits: 3

Schedule: 11.09.2018 - 04.12.2018

Teaching Period (valid 01.08.2018-31.07.2020): 

Varies.

Content (valid 01.08.2018-31.07.2020): 

Postgraduate level knowledge from one of the fields of computer and information science. The actual contents of the course vary from year to year. The course can be lectured, or arranged in seminar form.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

To be specified at the start of the course.

Study Material (valid 01.08.2018-31.07.2020): 

Usually some new study book or collection of articles.

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

T-61.6010 Special Course in Computer and Information Science I, T-61.6020 Special Course in Computer and Information Science II, T-61.6030 Special Course in Computer and Information Science III, T-61.6040 Special Course in Computer and Information Science IV, T-61.6050 Special Course in Computer and Information Science V, T-61.6060 Special Course in Computer and Information Science IV, CS-E4010 Special Course in Machine Learning and Data Science I, CS-E4020 Special Course in Machine Learning and Data Science II, CS-E4030 Special Course in Machine Learning and Data Science III, CS-E4040 Special Course in Machine Learning and Data Science IV, CS-E4050 Special Course in Machine Learning and Data Science V, CS-E4060 Special Course in Machine Learning and Data Science VI.

Grading Scale (valid 01.08.2018-31.07.2020): 

0-5, may be graded with pass/fail

Further Information (valid 01.08.2018-31.07.2020): 

The contents of the course vary.

Additional information for the course (applies in this implementation): 

3 credits for participating in the course and 2 extra for a project work.

Details on the schedule (applies in this implementation): 

11.09. Introduction

Description

Registration and further information