MTTTA6 Regression analysis 5 ECTS
Implementation is also a part of open university teaching
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Intermediate studies
Course unit descriptions in the curriculum
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[├Ąt]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