Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After the course, the student knows how to carry out a scientific project and write a scientific report in the field of computer and information science.

Credits: 10

Schedule: 22.09.2021 - 25.05.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jorma Laaksonen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    A project work, done alone or in a group, from the field of machine learning, data science and artificial intelligence.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Assesment based on the report and presentation.

Workload
  • valid for whole curriculum period:

    Seminars. independent or group work (discussions with supervisor, programming, reporting, presentation and its preparation).

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    In the beginning of period I, a matchmaking between available research project topics and interested students is arranged. Otherwise, the students can propose their own topics and find supervisors for their work.

    Teaching Period:

    2020-2021 Autumn I-Spring V

    2021-2022 Autumn I-Spring V

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=CS-E4875

    Registration for Courses: Kurssille ilmoittaudutaan WebOodissa. Katso ilmoittautumisaika WebOodista. Ilmoittautumiseen