Enrolment options

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

Credits: 5 - 10

Schedule: 24.09.2024 - 27.05.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Nam Hee Kim

Contact information for the course (applies in this implementation): Nam Hee Gordon Kim (namhee.kim@aalto.fi)

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
  • applies in this implementation

    In this seminar course, the student will learn about artificial intelligence and machine learning techniques used for implementing intelligent systems with movement capabilities. At the end of the term, the student will be able to define and derive interesting embodied AI problems and research ideas from first principles.


DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

  • applies in this implementation

    NOTE: In order to register for this course, you must attend an information session prior to registering on Sisu. The sign-up link can be found on: https://mimelab.github.io/


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