Takaisin kaikki kurssit
Hakuaika alkaa 03.06.2025
Machine learning
Yksittäinen kurssi
Course contents
- Exploratory data analysis
- Dimensionality reduction
- PCA
- Regression and classification
- Clustering
- Deep learning
- Reinforcement learning
- Language modeling
Learning outcomes
After completing the course, the students
- can formalise applications as ML problems and solve them using basic ML methods
- can perform basic exploratory data analysis
- understand the meaning of the train-validate-test approach in machine learning
- can apply standard regression and classification models on a given data set
- can apply simple clustering and dimensionality reduction techniques on a given data set
- are familiar with and can explain the basic concepts of reinforcement learning and language modeling.
Teaching methods
The course follows a schedule and includes lectures, self study, assignments, and a project work. The lectures are available online.
Teaching times on campus:
Lectures:
- Wednesdays at 14:15–16
- Fridays at 12:15–14
Exercises:
- Mondays at 8:15–10 (online)
- Tuesdays at 16:15–18
- Wednesdays at 8:15–10 (reserved for project support)
- Thursdays at 14:15–18
- Fridays at 14:15–16 (online)
Exam:
- 13.10.–31.10. in the Exam-room on Aalto University campus.
- Students are required to schedule a time slot (3 hours) during the opening hours of the Exam-rooms (excluding weekends). More information with a detailed schedule will be provided when the course starts.
Workload
Approx. 134 hours of work divided into:
- Lectures + self-study: 10*(2+2) = 40 hours
- Assignments: 5 * 9 =45 hours
- Project work: 30 hours
- Peer-grading: 8 hours
- Exam + preparation: 10 hours.
Completion methods
Assignments, project work and an exam on campus.
More information in the Aalto University study guide.
You can get a digital badge after completing this course.
machine learning koneoppiminen ML data analyysi luokittelu regressio klusterointi
Vastuuopettaja
Aalto-yliopisto
Pekka Marttinen, Apulaisprofessori
pekka.marttinen(at)aalto.fi
Aalto-yliopisto
Stephan Sigg, Apulaisprofessori
stephan.sigg(at)aalto.fi
Lisätietoa kursseista ja niiden suorittamisesta
Aalto-yliopisto
Tiina Porthén
tiina.porthen(at)aalto.fi
Hakua koskevat kysymykset
FITech-verkostoyliopisto
Fanny Qvickström, Opintoasioiden suunnittelija
info(at)fitech.io
Hakuaika alkaa 03.06.2025
Aihe:
Tekoäly ja koneoppiminen
Kurssikoodi:
CS-C3240
Opintopisteet
5 ECTS
Hinta:
0 €
Kurssin taso:
Kurssin ajankohta:
1.9.–19.10.2025
Haun alkamispäivä:
03.06.2025
Viimeinen hakupäivä:
18.8.2025
Vastuuyliopisto:
Aalto-yliopisto
Kuka voi hakea:
Aikuisopiskelija,
Tutkinto-opiskelija
Tutkinto-opiskelija
Toteuttamistapa:
Monimuoto-opetus
Paikkakunta:
Espoo
Opetuskieli:
Englanti
Esitietovaatimukset:
Matrix algebra, probability theory, basic programming skills