Introduction to Artificial Intelligence
Undergraduate course
- ECTS credits
- 5
- Teaching semesters
- Spring
- Course code
- INF626
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
The course aims to give the students an introduction to artificial intelligence with a specific focus on machinne learning topics. Students will understand how selected machine learning algorithms work, and they will also acquirebasic competence to apply artificial intelligence solutions to modern problems.
We will address the following topics:
- ethics in Al
- Classification and regression
- clustering
- neural Networks
Learning Outcomes
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence.
Knowledge:
The student
- posesses knowledge about the main subfields of Al and their goals
- is able to describe challenges of adding or ensuring moral behaviours of Al systems
Skills
The student
- is able to use mainstream machine learning libraries
General competence
The student
- understands how the classification, regression and clustering algorithms (presented in the course) work.
ECTS Credits
Semester of Instruction
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Teaching and learning methods
The course starts on the second half of January. It is 100% web-based and teaching and learning activities will take place online.
The course is divided in 5 parts and it runs in 8 weeks. We will focus on different topics in each of them. In the first 5 weeks, the course is organized to have 2 sessions per week with 2 hours of lecture and 2 hours of exercises. During the 6th and 7th week, students will have to work on a project that consists in developing an Al system. The course will end in week 8 where students will present their work. during the exercise sessions, students will be supported by teaching assistants.
Compulsory Assignments and Attendance
Forms of Assessment
The forms of assessment are:
- group project (50 %)
- written examination of 2 hours (50 %)
Both must be passed in order to pass the course.