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
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
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