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

The students has an overview of various applications of AI and of the fundamental problems, methods, and algorithms that underlie and that are necessary to build AI applications. The course gives the student a good basis for further study of the said methods and algorithms, with the main goal of 'demystifying' AI.

Credits: 3

Schedule: 28.02.2025 - 04.04.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Arno Solin

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:

    The course consists of lectures introducing applications of AI and the underlying computational problems as well as describing the principles of the methods and algorithms that are used to solve problems. The focus is on demystifying AI and giving the student an overview of the field. The course contains problem sets on the topics of the lectures. The content of the lectures may vary yearly.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Following the lectures and solving/returning assignments.

Workload
  • valid for whole curriculum period:

    Lectures c. 20 h, assignments related to course content c. 60 h, totaling c. 80 h.

DETAILS

Study Material
  • valid for whole curriculum period:

    Lecture notes and other given material.

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Spring IV
    2025-2026 Spring IV

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