UC1MA110 Mathematics 1

UC1MA110 Mathematics 1

  • 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
      Ali Elimam
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 aims to equip students with knowledge and skills in applying mathematical concepts and techniques to computing-related problems. It encompasses various disciplines including logic, set theory, number theory, matrix algebra, proof techniques, combinatorics, relations, graph theory, and Boolean algebra. Students will learn to solve discipline-specific, general, and complex problems using theory, formulas, and techniques from the course disciplines. The course also aims to develop a student's ability to understand and explain where mathematical concepts can be appropriately utilized and present solutions to a variety of mathematical problems and challenges.

Course Learning Outcomes
Knowledge

The student has knowledge of

K1 the relevant concepts in disciplines of logic, set theory, number theory, matrix algebra, proof techniques, combinatorics, relations, graph theory and Boolean algebra.
K2 relevant formulas and calculation rules of programme disciplines.
Skills

The student gain skills in

S1 solving discipline specific but also general and complex problems by means of theory, formulas, sentences, calculation rules and techniques from the course disciplines.
S2 using concepts and techniques from the course disciplines in the data subjects where appropriate.
General Competence

The student can demonstrate

G1 understand, and be able to inform others, about the kinds of problems in which the concepts and techniques from mathematics can be appropriately utilised.
G2 clearly and appropriately present solutions to a variety of mathematics problems and challenges.
Course Topics
  • Number Theory
  • Set Theory
  • Matrix Algebra
  • Boolean Algebra
  • Logic and Proofs
  • Counting and Graphs
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
36
Teacher-supported work
48
Self-study
166
Work Requirements

There are no mandatory assignments in this course.

Assessment Strategy

This course has three (3) 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 Test
A-F
Online Exam
A-F