EPN

ADSE2100 Human Computer Interaction Course description

Course name in Norwegian
Menneske maskin interaksjon
Study programme
Bachelorstudium i ingeniørfag - data / Bachelorstudium i informasjonsteknologi / Bachelorstudium i anvendt datateknologi
Weight
10.0 ECTS
Year of study
2023/2024
Curriculum
FALL 2023
Schedule
Course history

Introduction

The students will acquire knowledge of the design and evaluation of user interfaces. They will learn to develop ideas from sketches to concrete designs with the help of prototyping techniques, and use the prototypes to get feedback from users. The students will also learn to look at theories about human-machine-interaction by employing simple quantitative methods. 

Required preliminary courses

No requirements over and above the admission requirements.

Learning outcomes

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student

  • knows what user-centred development entails
  • has knowledge of individual differences between people
  • has knowledge of what characterises user-friendliness 
  • is familiar with design principles
  • can explain the specific terminology used in the field 
  • has knowledge of research on user interfaces, including theories, empirical data and hypothesis testing

Skills

The student is capable of

  • performing needs analyses
  • communicating design ideas with the help of sketches 
  • developing low-resolution prototypes, including organising information visually and using knowledge about cognition, such as people’s memory capacity and attention, to simplify user interfaces
  • performing user tests 
  • measuring the user interfaces by designing simple experiments and applying statistical tools

General competence

The student

  • is capable of developing user-friendly user interfaces 
  • is familiar with techniques used to evaluate interactive systems
  • is capable of documenting and explaining design choices to clients and users
  • is capable of interpreting simple research literature dealing with human-machine interaction

Teaching and learning methods

Lectures and practical work with prototyping, evaluations and product development. The students work individually and in groups (2-4 students).

Course requirements

The following coursework is compulsory and must be approved before the student can take the exam:

  • A group presentation of a given topic.

Assessment

Exam form: Portfolio assessment subject to the following requirements:

  • One individual assignment (1,000-1,600 words).
  • Two group assignments (2-4 students). One of 1,600-3,000 words, and one of 1,000-2,000 words.

One overall grade is awarded for the portfolio. All parts of the portfolio must be awarded a grade E or better for a student to successfully pass the course.

The exam result can be appealed.

In the event of resit and rescheduled exams, another exam form may also be used or a new assignment given with a new deadline. If oral exams are used, the result cannot be appealed.

Permitted exam materials and equipment

All.

Grading scale

Grade scale A-F.

Examiners

One internal examiner. External examiners are used regularly.