MA-217 Statistical Machine Learning
- ECTS Credits:
- 7.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Kirsten Bjørkestøl
- Lecture Semester:
- Autumn
- Teaching language:
- Norwegian or English
- Duration:
- 1 term
The course is connected to the following study programs
- Bachelor's Programme in Mathematics
- Advanced Teacher Education level 8-13, 5-year Master's Programme
Teaching language
Norwegian or EnglishRecommended prerequisites
MA-166
A good understanding of linear algebra and calculus will be an advantage.
Course contents
Multiple regression. Non-linear transformations of data. Confidence intervals for estimation of parameters. Logistic regression. Support vector machines.
Learning outcomes
On successful completion of the course, the student should be able to
-
the most important aspects of supervised learning
-
build, estimate and interpret linear and non-linear models
-
create and interpret basic models for classification of data
-
use a programming language to apply machine learning techniques on large data sets
Examination requirements
Required assignments must be approved, see Canvas for more information.
Teaching methods
Lectures, work in small groups and compulsory assignments. Computer lab. If needed, the course is taught in English. The course has an expected workload of around 200 hours.
Evaluation
The person responsible for the course, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.
Offered as Single Standing Module
Ja
Assessment methods and criteria
A 5-hour written examination. Graded assessment.
Reduction of Credits
This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:
Course | Reduction of Credits |
---|---|
MA-202 – Statistics 2 | 7.5 |
MA-441 – Statistics for Primary School Teachers | 7.5 |
MA-445 – Statistics for Secondary School Teachers | 7.5 |
MA-225 – Statistical machine learning | 7.5 |