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UC1DMA10 Discrete Mathematics

UC1DMA10 Discrete Mathematics

  • Course description
    • NQF Level
      Bachelor's degree (Level 6 1. Cycle)
    • Area of Study
      Computing
    • Program of Study
      Computing 1. year
    • ECTS
      10
    • Campus
      Kristiansand, OnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
    • Course Leader
      Shahnila Rahim
Used in other programs
  • Applied Data Science
  • Cyber Security
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
  • Cyber Security
Course Aim(s)

This course aims to provide students with knowledge and skills in applying concepts and techniques from discrete mathematics in general and to computing-related problematic scenarios.

Course Learning Outcomes
Knowledge

The student has knowledge of

K1 define and explain the contents of the relevant concepts in disciplines of logic, set theory, number theory, matrix algebra, proof techniques, combinatorics, relations, graph theory and Boolean algebra.
K2 explain relevant formulas and calculation rules of course disciplines.
K3 identify and consider relevant uses of Discrete Mathematics principles and techniques within the program of study.
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 use 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 discrete mathematics can be appropriately utilised.
G2 clearly and appropriately present solutions to a variety of discrete mathematics problems and challenges.
Course Topics
  • Number Theory
  • Set Theory
  • Matrix Algebra
  • Boolean Algebra
  • The Foundations: Logic and Proofs
  • Graphs
  • Trees
  • Counting
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, a webcam, and headphones (or a similar alternative)
Prerequisite Knowledge

Refer to the entry requirements.

Reading List

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

Study Workload

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

ActivityDuration
Teacher-led activity
24 Hour(s)
Teacher-supported work
48 Hour(s)
Self-study
178 Hour(s)
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
Individual
Online Test
A-F
Individual
Online Exam
A-F
Individual