course-details-portlet

MEPA2315

Introduction to artificial intelligence

New from the academic year 2025/2026

Credits 7.5
Level Foundation courses, level I
Course start Autumn 2025
Duration 1 semester
Language of instruction English
Location Ålesund
Examination arrangement Aggregate score

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.

Required previous knowledge

The course has no prerequisites.

Course materials

Will be announced at the start of the semester.

Subject areas

  • Engineering Subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Ocean Operations and Civil Engineering

Examination

Examination

Examination arrangement: Aggregate score
Grade: Letter grades

Ordinary examination - Autumn 2025

Assignment
Weighting 40/100 Exam system Inspera Assessment
Oral exam
Weighting 60/100 Examination aids Code E Duration 30 minutes

Re-sit examination - Spring 2026

Oral exam
Weighting 60/100 Examination aids Code E Duration 30 minutes