Contact instruction at 3 or 4 weekends: on Fridays at 2pm - 8pm, and on Saturdays at 9am - 3pm.
Location: IT-Dynamo, Piippukatu 2, 40100 Jyväskylä.
Contact instruction at 3 or 4 weekends during the semester.
Exercises and distance learning between the contact sessions.
Study project covering a topic based on individual needs.
Relevant parts of the following books:
The Essential AI Handbook for Leaders
by Peltarion (59 pages).
Ethical Artificial Intelligence
by Bill Hibbard (2015, 177 pages).
The Quest for Artificial Intelligence: A History of Ideas and Achievements
by Nils J. Nilsson (2009, 707 pages).
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edition (corrected)
by Trevor Hastie, Robert Tibshirani, and Jerome Friedman (2017, 764 pages).
Python Data Science Handbook: Essential Tools for Working with Data
by Jake VanderPlas (2016 O'Reilly Media, 541 pages).
pandas: powerful Python data analysis toolkit
by Wes McKinney and the Pandas Development Team (2020, 3071 pages).
Further defined during the first contact session.
Tuula Kotikoski, Tuomo Sipola
It is advisable that the students use their own work environment as an object of study and as a data source.
Possible guest lecturers from companies.
21.08.2020 - 18.12.2020
5 ECTS credits equals about 135 hours of study work.
Contact instruction: 36 hours
Exercises: 36 hours
Study project: 63 hours
03.08.2020 - 30.08.2020
0 - 32
Feedback on exercises and study project.
Open UAS 5
Master's Degree Programme in Artificial Intelligence and Data-analytics
Face-to-face, Online learning
School of Technology