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
• Information technology 2023 - Service oriented architectures and analythical methods - advanced studies

1 (2023-08-01 to 2023-10-22)

Swedish

Compulsory

First

3

5 cr

In this study unit the focus lies on the following
competencies:

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.

SDG's in focus:
#4: Quality education
#9: Industry, innovation and infrastructure

Upon completion of this 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. (Skills)

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

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

Introduction to artificial intelligence:
rule based
machine learning based

Machine learning with focus on reinforcement
learning and imitation learning

Machine learning implementations for autonomous
agetns in a 3D environment (Unity)

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

Projects and
presentation

Project

Karlsson Jonny

Karlsson Jonny

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

No limit (27 students enrolled)

12 months after course has ended

2023-08-10 to 2023-09-06

Date will be announced later - Other assignments