Course - Introduction to artificial intelligence - MEPA2315
Introduction to artificial intelligence
New from the academic year 2025/2026
About
About the course
Course content
The course will give an introduction and overview of artificial intelligence (AI).
- AI foundations: history, contributing disciplines
- Intelligent agent: problem formulation, search and plan
- Data processing and mining
- Learning from samples: supervised learning, classification & regression
- Computer vision
- Optimization technologies: genetic algorithm, path planning
- Natural language processing
- Intelligent systems: AI applications in different domains
Learning outcome
Knowledge
- Have basic knowledge about AI, and its scope and applications
- Have knowledge of intelligent agents, optimization technologies, and learning methods
- Know how to formulate problems and solve them using AI technologies
Skills
- Able to process and analyze sensor data
- Can formulate AI application problems from different domains
- Can use specialized software or libraries to implement AI models
- Able to test AI methods in professional simulators
General competence
- Understand AI technologies, applications, and their pros and cons
- Know the process from data processing, problem formulation, to the use of AI models for solving problems
- Gain experience in applying AI models to practical applications in both simulation and field tests
Learning methods and activities
The course will be taught in English. Pedagogical methods: Lectures, exercises, project work and laboratory assignments.
Further on evaluation
The candidates must work in groups. Each group must deliver a term paper based on their selected project (counts 40%), as well as present orally (counts 60%) the work that has been carried out. The semester assignment must be passed in order to take the oral exam. Candidates in groups will be evaluated individually. New and postponed exams are organized in the following semester. The form of assessment for new and postponed examinations is oral.
Specific conditions
Admission to a programme of study is required:
Civil Engineering - Engineering (BIBYGG)
Mechatronics and Product Design - Engineering (BIMEPRO)
Naval Architecture - Engineering (699SD)
Renewable Energy - Engineering (BIFOREN)
Required previous knowledge
The course has no prerequisites.
Course materials
Will be announced at the start of the semester.
Subject areas
- Engineering Subjects