UC2IOS05 Introduction to Operating Systems

UC2IOS05 Introduction to Operating Systems

  • Course description
    • NQF Level
      Bachelor's degree (Level 6 1. Cycle)
    • Area of Study
      Computing
    • Program of Study
      Applied Data Science
    • ECTS
      05
    • Campus
      Kristiansand, Online, Oslo
    • Course Leader
      Fabricio Bortoluzzi
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:

  • Applied Data Science
Course Aim(s)

The course aims to develop an understanding of the fundamental aspects involved in the design, implementation and use of modern operating systems.

Course Learning Outcomes
Knowledge

The student has knowledge of

K1 the fundamental components making up the hardware/software interface of computer systems.
K2 understand the fundamental aspects of the design and implementation of modern operating systems.
K3 the underlying layers of the Input and Output subsystem of computer systems.
Skills

The student gain skills in

S1 programmatically access the system libraries made available by the operating system for communicating with the kernel.
S2 and understanding of the multi-programmed model that gives support for concurrency, multithreading, multi-processing, and the required protection for critical regions of code.
General Competence

The student can demonstrate

G1 how the operating system interacts with components to provide the user with an environment for process execution.
G2 how the operating system services can be provisioned.
G3 concepts including virtualisation, distributed systems, high-performance computing, and embedded systems.
Course Topics
  • OS Foundations
  • Modern Operating Systems
  • CPU Management
  • Memory Management
  • POSIX Environment
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

UC1PR110 Introduction to Programming, or equivalent course(s).

Reading List

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

Study Workload

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

ActivityDuration
Teacher-led activity
12
Teacher-supported work
40
Self-study
73
Work Requirements

Mandatory Assignments are assessed as Approved or Not Approved.

NameRequirementScopeRequirement typeComment
Mandatory Assignment
Course requirement
Assessment Strategy

All mandatory assignments must be passed in order to attempt the exam.
This course has two (2) exam contributing towards the overall and final grade of the course.

The exam 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