UC1NFU10 Network Fundamentals

UC1NFU10 Network Fundamentals

  • Course description
    • NQF Level
      Bachelor's degree (Level 6 1. Cycle)
    • Area of Study
      Computing
    • Program of Study
      Digital Forensics and Incident Response
    • ECTS
      10
    • Campus
      Kristiansand, OnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
    • Course Leader
      Bertram Haskins
Introduction

Language of Instruction and assessment: English
May be offered on Campus and Online.
May be offered as a separate course.

Included in the following bachelor's degrees:

  • Digital Forensics and Incident Response
Course Aim(s)

This course is designed to provide students with practical knowledge of general network theory. It focuses on network structures, topology, and essential protocols. The course aims to foster understanding about theoretical network models, network devices, and network communication forms. Key skills that students will acquire include implementing and configuring network devices, constructing and configuring a network and subnet, and understanding how network components interact to facilitate communication. The course also emphasizes the importance of network reliability, user responsibility, and the need for networks to be 'fit for purpose'.

Course Learning Outcomes
Knowledge

The student has knowledge of

K1 general theoretical network models that can be applied within networked environments.
K2 network devices that can be used to facilitate network communication.
K3 forms of network communication and how data traverses a network.
Skills

The student gain skills in

S1 to understand how the interaction between network components enable communication via local and global networks.
S2 to implement and configure network devices.
S3 to construct and configure a network and subnet.
General Competence

The student can demonstrate

G1 be aware of issues of reliability and responsibility to users.
G2 be aware of the need for ‘fit for purpose’ networks.
Course Topics
  • Network Types and Topologies
  • OSI model
  • Internet communication
  • TCP / IP protocol stack
  • IP addressing and subnetting
  • Routing protocols
Teaching Methods
  1. Teaching will be based on a hybrid-flexible approach. Instructor-led face-to-face learning is combined with online learning in a flexible course structure that gives students the option of attending sessions in the classroom, participating online, or doing both.
  2. All activities require active student participation in their own learning.
  3. Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
  4. Students will be taught using a mixture of guidance, self-study, and lecture material. Topics will be introduced in a series of weekly lectures. The guidance sessions will be directed practical exercises and reading in which students can explore topics with support from a teacher. This material will also require students to self-manage their time to ensure tasks are completed and the theory is fully understood. This will allow the students to fully engage with lectures and with their peers.
Resources and Equipment
  1. Learning resources are available in the LMS and include, but is not limited to:
    • literature and online reading material (essential and recommended)
    • streams, recordings and other digital resources, where applicable
    • video conferencing and communication platforms, if applicable
    • tools, software and libraries, where applicable
  2. Students must have access to an internet connection, and suitable hardware.
    • Accessing live streams and virtual laboratories requires a minimum broadband connection of 2Mbps (4Mbps recommended).
  3. Students working on their own laptop/computer are required to acquire appropriate communications software, e.g., webcam, microphone, headphones.
Prerequisite Knowledge

Refer to the admission requirements.

Reading List

The reading list for this course and any additional electronic resources will be provided in the LMS.

Study Workload

250 nominal hours.
Study workload applies to both Campus and Online students.

ActivityDuration
Teacher-led activity
30
Teacher-supported work
48
Self-study
172
Work Requirements

There are no mandatory assignments in this course.

Assessment Strategy

This course has two (2) exams contributing towards the overall and final grade of the course.

All exams must be assessed as passed to receive the final Course Grade.

Form of assessmentGrading scaleGroupingDuration of assessment
Online Exam
A-F
Online Exam
A-F