Implementation is also a part of open university teaching
English
Intermediate studies
MDP in Computational Big Data Analytics, Statistics
Faculty of Natural Sciences
Learning outcomes
After completing the course the student can fit a linear regression model to empirical data and can derive and prove the basic results of linear regression analysis including its sum-of-squares decomposition. Additionally the student can perform linear regression analysis based on matrix operations with some statistical software.
Enrolment for University Studies
Enrolment time has expired
Teachers
Hyon-Jung Kim-Ollila, Teacher responsible
Hyon-Jung.Kim[ät]uta.fi
Teaching
3-Sep-2018
–
15-Oct-2018
Lectures
First week
Mon 3-Sep-2018 at 12-14, LS B4125, Pinni B
Thu 6-Sep-2018 at 12-14, LS B4125, Pinni B
Normal schedule
Mon 10-Sep-2018 - 8-Oct-2018 weekly at 12-14, LS B4125, Pinni B
Wed 12-Sep-2018 - 10-Oct-2018 weekly at 12-14, LS B4125, Pinni B
Exceptions:
19-Sep-2018
at 12
–14
, LS B3107, Pinni B, different lecture room
Midterm exam
Fri 28-Sep-2018 at 10-14, LS A3107, Pinni A
Final exam
Exercises
Thu 6-Sep-2018 at 14-16, LS B4125, Pinni B
Wed 12-Sep-2018 - 10-Oct-2018 weekly at 14-16, LS B4116, Pinni B
R exercises