MACS4000 - Research Project Planning (Applied Computer Science)


Examination arrangement

Examination arrangement: Assignment pre-project report
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Assignment pre-project report 100/100

Course content

Tentative Academic Content:

  • Problem description, developing research questions, and corresponding choice of methods.
  • Identifying, collecting and structuring published research results relevant for the project.
  • Project planning and risk assessment.
  • Scientific presentation of project objective, structure, and content

Learning outcome

Tentative learning outcomes


- Possess specialized insight and good understanding of the research frontier in a selected part of the topic covered by the Master Programme.

- Is able to apply the knowledge and understanding from the topics covered by the Master Programme to new and unfamiliar settings.


- Is able to handle theoretical issues, and solve complex practical problems, independently in the area covered by the Master Programme.

- Is able to use relevant and suitable methods when carrying out research and development activities in the area covered by the Master Programme.

- Is able to critically review relevant literature when solving new or complex problems and is able to integrate the findings into the proposed solution.

- Is able to plan and complete an independent and limited research or development project with guidance and in adherence to research ethics.

- Is able to demonstrate critical thinking especially in problem statement and planning.

- May be encouraged to evaluate and provide feedback on fellow students' work.

General competence:

- An understanding of academic writing style and documentation structure.

- The ability to formulate a research problem and research questions.

- An understanding of ethical issues in research.

Learning methods and activities

Tentative Learning Styles:

- Lectures / seminars (Gjøvik campus).

- Assignments and exercises in preparation for the final report.

- Supervision.

The seminars are held in Autumn semester only. Spring semester admission for self-study only.

Further on evaluation

Tentative forms of assessment:

  • Submitted report is graded as Pass/Fail.
  • Failed/grade improvement: Students can sign up for the course during next semester and submit the revised version of the report for grading.

Specific conditions

Admission to a programme of study is required:
Applied Computer Science (MACS)

Required previous knowledge

IMT4110 Scientific Methodology and Communication or IMT4192 Research and Scientific Methods in HCI or IMT4421 Scientific Methodology.

Course materials

Where relevant, material will be provided as part of the seminars.

Credit reductions

Course code Reduction From To
IMT4205 7.5 AUTUMN 2022
IMT4601 5.0 AUTUMN 2022
IMT4885 7.5 AUTUMN 2022
More on the course

Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  AUTUMN 2024

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Computer Science
  • Information Technology and Informatics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science


Examination arrangement: Assignment pre-project report

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Assignment pre-project report 100/100 INSPERA
Room Building Number of candidates
Spring ORD Assignment pre-project report 100/100 INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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