EEA-EV003 - Fundamentals of quantum machine learning D, Lecture, 2.9.2024-7.10.2024

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

This course serves as an introduction to essential foundational tools utilized in
both near-term and fault-tolerant quantum devices. At the end of this course, participants will have the ability to apply these concepts to the development of advanced quantum machine learning algorithms. Additionally, participants will gain the skills to recognize opportunities within the field of machine learning where quantum resources can be effectively employed.

Credits: 3

Schedule: 02.09.2024 - 07.10.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Ahmad Farooq, Simo Särkkä

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

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

Vastuullisen käyttäytymisen periaatteet yliopistoympäristössä (voimassa 1.8.2020 alkaen)

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