---
title: Learning Outcomes
---

*The Learning Outcomes are taken from the
[Module Description](https://www.ntnu.edu/studies/courses/IE502014#tab=omEmnet). 
Only the layout has been changed, for the sake of legibility.*

# Knowledge

Upon completion of the course, students should be able to 

- describe AI in terms of the analysis and design of intelligent agents or systems that interact with their environments 
- explain relevant AI terminology, models, and algorithms used for problem solving 

# Skills

Upon completion of the course, students should be able to 

- model problems in suitable state space depending on choice of solution method
- simulate models and solve problems by means of AI methods, e.g., search algorithms or computational intelligence 
- analyse models, AI methods, and simulation results 

# General competence

Upon completion of the course, students should be able to

- read and understand scientific publications and textbooks on AI and reformulate the presented problems, choice of methods, and results in a short, concise manner 
- discuss and communicate advantages and limitations of selected AI methods for problem solving