EPN-V2

DATA2410 Networking and cloud computing Course description

Course name in Norwegian
Datanettverk og skytjenester
Study programme
Bachelor in Applied Computer Technology
Bachelor's Degree Programme in Software Engineering
Bachelor's Degree Programme in Information Technology
Weight
10.0 ECTS
Year of study
2023/2024
Curriculum
SPRING 2024
Schedule
Course history

Introduction

In this course, students will acquire knowledge of TCP / IP and various network protocols used on the Internet and acquire insight into the modern cloud computing technology. They will understand what are the components that make up a computer network and how the Internet works. Through practical lab exercises, students will gain knowledge of network data packet structure and virtual infrastructure in the cloud.

Recommended preliminary courses

All examinations are assessed by an internal and an external examiner. The student's supervisor cannot be an examiner for the master's thesis.

Required preliminary courses

None for the admission.

Learning outcomes

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

Teaching and learning methods

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

Knowledge

The student

  • has advanced knowledge of their area of study and can identify relevant issues to clarify the need for research and professional development
  • has in-depth knowledge of the research process

Skills

The student

  • can analyse relevant theories and issues to initiate a research, quality or development project
  • can use relevant research methods in their own work
  • can analyse and deal critically with various sources of information and use them in scholarly arguments in their own research, quality or development project
  • can carry out a limited, independent research, quality or development project in accordance with applicable norms for research ethics

General competence

The student

  • can communicate relevant issues, analyses and conclusions from their own research, quality or development project to both the general public and academia
  • can contribute to new thinking, innovation processes and evidence-based practice in the health services and in health-promoting work

Course requirements

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.

Assessment

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.

Permitted exam materials and equipment

None

Grading scale

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).

Examiners

All aids are permitted, as long as the rules for source referencing are complied with. There is an opportunity to reuse self-produce

d text from MAVIT4070 in the master's thesis without self-citation.

Course contact person

Grade scale A-F.

Overlapping courses

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.