UC1MA110 Mathematics 1

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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

Used in other programs

Digital Forensics and Incident Response

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

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.
All activities require active student participation in their own learning.
Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
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

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
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).
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.

Activity	Duration
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 assessment	Grading scale	Grouping	Duration of assessment
Online Test	A-F
Online Exam	A-F