EPN-V2

MAERN5910 Master Thesis Course description

Course name in Norwegian
Masteroppgave
Study programme
Master's Programme in Health Sciences - specialisation in Nutrition Competencies for Health Professionals
Weight
30.0 ECTS
Year of study
2024/2025
Programme description
Course history

Introduction

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

Knowledge The student:

  • is familiar with the main functions of each layer in the TCP/ IP model
  • can explain how the most important network protocols work
  • is familiar with the operational and infrastructure-related possibilities that virtualization and cloud-based solutions provide

Skills The student is capable of:

  • configuring computer networks
  • using network tools to study network traffic
  • programming sockets
  • using automation tools to roll out applications and their underlying infrastructure
  • using cloud-based services as a development platform
  • using monitoring systems to monitor the performance and stability of applications and operating environments

General competence:

The student is capable of:

  • understanding and communicating issues relating to networks and computer systems.
  • understanding and communicating the importance and necessity of using good cloud computing methods and technologies

Required preliminary courses

MAVIT4070/MAERN4070 must be passed before the master's thesis can begin.

All compulsory courses in the programme must be passed before the student can submit their master's thesis for assessment.

Learning outcomes

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

  • Two compulsory individual assignments

Guidance for the assignments will be provided in the labs.

Teaching and learning methods

The exam consist of two parts

  • an individual assignment/ practical exam (40% of the final grade) of up to 15 pages
  • a final 4-hour written exam (60% of the final grade)

Both exams must be passed in order to pass the course.

Exam results 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.

Course requirements

Grade scale A-F.

Assessment

The master’s thesis written by one or two students. Large, interdisciplinary innovation projects can be written in groups of up to four students on application.

The content and scope of the different forms of master's theses:

  • Monograph: Recommended scope of a monographic assignment is 13,000 words +/- 10%

  • Scientific article: The thesis must include a manuscript in the form of at least one article that is in accordance with the author guidelines for a relevant scientific journal, and a supplementary memo/introductory chapter to the article-based thesis ('kappe') that elaborates on the theoretical and methodological considerations underlying the article. The layout, structure and scope of the article must comply with the guidelines of the journal in question. If the maximum length is not stated in the relevant journal's author guidelines, the maximum length is 8,000 words The supplementary memo/introductory chapter to the article-based thesis ('kappen') must have a scope of 3000 words +/- 10%

The thesis can be written in English or a Scandinavian language (Norwegian, Swedish or Danish).

Permitted exam materials and equipment

Safiqul Islam

Grading scale

The course builds on DATA1500 Databases and DATA1600 Program Development, or similar courses.

Examiners

The course is equivalent (overlaps 10 credits) with ITPE2410. The course overlaps 3 credits with DATS / ITPE2400. When practicing the 3-time rule for registration for the exam, experiments used in equivalent subjects count.