IA-2-014 (0) - Autonomous Agents

• Information technology 2014 - Service oriented architectures and system design
• Information technology 2015 - Service oriented architectures and system design
• Information technology 2016 - Service oriented architectures and system design
• Information technology 2017 - Service oriented architectures and system design
• Information technology 2018 - Service oriented architectures and analythical methods
• Information technology 2019 - Service oriented architectures and analythical methods
• Information technology 2020 - Service oriented architectures and analythical methods
• Information technology 2021 - Service oriented architectures and analythical methods - advanced studies
• Information technology 2022 - Service oriented architectures and analythical methods - advanced studies

1 (2022-08-01 to 2022-10-23)

Swedish

Compulsory

First

3

5 cr

In this study unity we will focus on the following
competences:

Virtualization and digital twins

Machine learning, decision support system
development and artificial intelligence with focus
on:

Planning, development and testing of machine
learning based AI models for autonomous agents in
a simulated 3D environment.

After completed study unit:

You are familiar with common and modern techniques
for AI (knowledge)

You know the basics in machine learning
(knowledge)

You learn how to create autonomous behavior for
computer characters/agents in a 3D simulation
environment using ruled based artificial
intelligence (skill)

You know how to design and create AI models based
on machine learning (skill)

You see the possibilities with AI and how
different AI models could be implemented also in
real environments (approach)

Implementation of AI solutions for autonomous
agents in 3D environments:

Pathfinding

Finite State Machines

Introduction to machine learning

Reinforcement learning

Earlier Unity courses:
- vectors and forces
- oscillation and particle systems

Tutorials and videos on the web are published
during the course in Itslearning.

• Lectures - 40 hours
• Individual studies - 95 hours

• Total workload of the course: 135 hours
• Of which autonomous studies: 135 hours
• Of which scheduled studies: 0 hours

Participation in tuition

- 4 projects on AI in unity (max 100p)
- Guestlectures on image processing (active
participation gives 15 bonus points!)

The projects must be handed in on time and be
presented on 1 of 3 alternative project feedback
sessions (sing up to these on Itslearning).

A minimum of 50p is required for approved course.

Karlsson Jonny

Karlsson Jonny

https://arcada.itslearning.com/ External link

No limit (34 students enrolled)

12 months after course has ended

2022-08-10 to 2022-09-06

Date will be announced later - Other assignments