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.
LEARNING OUTCOMES
Credits: 4
Schedule: 10.09.2020 - 03.12.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Aristides Gionis, Alex Jung, Juha Karhunen, Samuel Kaski, Jouko Lampinen, Harri Lähdesmäki, Heikki Mannila, Juho Rousu, Aki Vehtari
Teacher in charge (applies in this implementation): Alexander Ilin
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):
English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
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 01.08.2020-31.07.2022:
To be specified at the start of the course.
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
Usually some new study book or collection of articles.
Substitutes for Courses
Valid 01.08.2020-31.07.2022:
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.
FURTHER INFORMATION
Further Information
Valid 01.08.2020-31.07.2022:
The contents of the course vary.
Applies in this implementation:
4-5 credit points