EPN-V2

ACIT4040 Applied Artificial Intelligence Project Course description

Course name in Norwegian
Applied Artificial Intelligence Project
Study programme
Master's Programme in Applied Computer and Information Technology
Weight
10.0 ECTS
Year of study
2023/2024
Curriculum
FALL 2023
Schedule
Programme description
Course history

Introduction

None

Recommended preliminary courses

It is highly recommended that the student has taken the courses Advanced Machine Learning and Deep Learning and/or Evolutionary AI and robotics. It is also recommended to have good programming skills, such as 20 ECTS of previous programming-focused subjects.

Required preliminary courses

After completing the course, the student should have the following overall learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student has

  • knowledge about different forms of organisation and market contracting in the public sector
  • understand the goals of public procurement
  • in-depth knowledge about the regulation of public procurement in Norway regarding planning, advertising tenders, how to conduct this process and the conclusion of the process and knowledge on the potential consequences of errors
  • insight into what the prohibition against public funding entails and legal problems regarding Public sector entering the market in the sense of the EEA Regulations
  • knowledge of the international anchoring the regulations on the public procurement and public support have

Skills

The student is capable of

  • identifying and analysing legal issues and consequences relating to restructuring or market contracting processes
  • identifying when different parts of the regulations on public procurement apply
  • analysing and handling legal issues when advertising tenders, and how to conduct this process, assess the tenders received and award contracts

General competence

The student is capable of

  • working independently on practical and legal issues

Learning outcomes

The teaching methods used are individual study, group work and plenary sessions. An important element of achieving the learning outcomes for this course will be the use of various case studies. Students are expected to be active in the work on these cases and work with the sources of law available in this field. Literature studies will be an important aspect of this work.

Content

Introduction to modern methods, techniques and tools used in projects related to the course assignment. Lectures and tutorials will be given on the tools, laboratories and facilities available at OsloMet, and their use in relation to the given assignment text, specifications, design, verification, prototyping and development. A realistic project will then be carried out where participants work together as an "applied artificial intelligence development team".

The project involves the full process from specifications, programming, testing, verification and documentation.

Teaching and learning methods

No coursework requirements or compulsory activities.

Course requirements

The exam in the course is an individual home exam over a period of 6 hours.

Assessment

All aids are permitted, as long as the rules for source referencing are complied with.

Permitted exam materials and equipment

Grade scale A-F

Grading scale

The exam papers are assessed by one internal and one external examiner.

At least 25% of the exam papers will be assessed by two examiners. The grades awarded for the papers assessed by two examiners form the basis for determining the level for all the exam papers.

Examiners

Two internal examiners. External examiner is used periodically.

Course contact person

TBA