IKT112 Concepts of Machine Learning
- Studiepoeng:
- 5
- Ansvarlig avdeling:
- Fakultet for teknologi og realfag
- Emneansvarlige:
-
- Rebekka Olsson Omslandseter
- Per-Arne Andersen
- Undervisningssemester:
- Vår
- Undervisningsspråk:
- English
- Varighet:
- 1 semester
Emnet er tilknyttet følgende studieprogram
Undervisningsspråk
EnglishInnhold
- Supervised learning: decision trees, artificial neural networks, Bayesian learning
- Unsupervised learning: K-means clustering, hierarchical clustering, principal components
- Introduction to reinforcement learning
- Real-world applications of machine learning (e.g. self-driving cars, medical imaging, natural language processing, etc.)
Læringsutbytte
Upon completion of this course, students will have:
- a basic understanding of the concepts of machine learning including supervised, unsupervised and reinforcement learning
- the ability to apply machine learning algorithms to data sets using a software package (e.g. WEKA)
- the ability to design experiments and to empirically evaluate and compare the performances of machine learning algorithms
- an appreciation of and familiarity with some current real-world applications of machine learning
Undervisnings- og læringsformer
The course is organized with a combination of lectures, assignments, paper studies, labs, and report writing. The tasks are done individually or in small groups with group supervision. The workload for the average student is approximately 135 hours.
Studentevaluering
The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.
Eksamen
3 hours written exam (50%). Portfolio assessment (50%). Information about the content of the portfolio will be given in Canvas at the start of the semester for each seminar. Graded assessment.
Reduksjon i studiepoeng
Innholdet i dette emnet dekkes helt eller delvis av annet emne. Tas ett av disse emnene i tillegg, reduseres studiepoengene som følger:
Emne | Studiepoengreduksjon |
---|---|
IKT109 – Principles of Artificial Intelligence | 5 |