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Course syllabus - Introduction to Applied AI

Scope

7.5 credits

Course code

DVA132

Valid from

Autumn semester 2020

Education level

First cycle

Progressive Specialisation

G1N (First cycle, has only upper-secondary level entry requirements)

Main area(s)

Computer Science

Organisation

School of Innovation, Design and Engineering

Ratified

2020-01-24

Status

This syllabus is not current and will not be given any more

Literature lists

Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.

    • Ratified date: 2021-06-16
    • Latest update: 2025-05-27

    Books

    Tegmark, Max; Sjöstrand Svenn, Helena; Svenn, Gösta

    Liv 3.0: att vara människa i den artificiella intelligensens tid

    ISBN: 9789188123985

    LIBRIS-ID: 20698050

    Stockholm, Volante, 463 sidor

    Mandatory

Objectives

The purpose of this course is to introduce the students to the topic of Artificial Intelligence, including possible and future applications. In addition, the history of the Artificial Intelligence, its impact of the society, and its ethics implications.

Learning outcomes

After completing the course, the student shall be able to:

  1. describe the subject area of Artificial Intelligence, its history, and its development as a scientific and popular scientific topic,
  2. describe the role of Artificial Intelligence in the society, including relevant ethical aspects,
  3. demonstrate the ability to differentiate the different concepts and parts of an Artificial Intelligent software such as the problem definition, the data collection, the AI algorithm and the presentation of the results,
  4. write a technical report focusing on Artificial Intelligence and also
  5. demonstrate the ability to solve problems in Artificial Intelligence.

Course content

General orientation of the subject Artificial Intelligence, and design and use of Artificial Intelligence algorithms. The course introduces also to central activities in the program, such as report writing and group work, as well as to the role as engineer, in a societal context, and as a professional AI-expert.

Specific requirements

Mathematics C or Mathematics 3b/3c

Examination

Compulsory attendance (OBN1), 1 credit, examines the learning objectives 1-2, marks Fail (U) or Pass (G).
Written assignment (INL1), 2 credits, examines the learning objectives 3-4, marks Fail (U) or Pass (G).
Project (PRO1), 4.5 credits, examines the learning objective 5, marks Fail (U) or Pass (G).

A student who has a certificate from MDU regarding disability study support, can request adaptions for the examination. It is the examiner who takes decisions on any adaptions, based on the certificate and other conditions.

Grade

Two-grade scale