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Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title Discrete Mathematics II
Module Code MS342 (ITS) / MTH1090 (Banner)
Faculty Science & Health School Mathematical Sciences
Module Co-ordinatorNiamh O'Sullivan
Module Teachers-
NFQ level 8 Credit Rating 5
Pre-requisite Not Available
Co-requisite Not Available
Compatibles Not Available
Incompatibles Not Available
Repeat examination
Description

This module entails the study of different mathematical concepts linked by the theme of discreteness, including sets and logic, combinatorics and graphs. Students will be expected to work collaboratively to discuss and reflect on their learning.

Learning Outcomes

1. Recall relevant mathematical facts in Set Theory and Logic, Combinatorics, Probability and Graph Theory.
2. Apply concepts and processes related to these topics in both mathematical and non-mathematical contexts.
3. Analyse information and interpret results (related to these topics).
4. Explore patterns and formulate conjectures (related to these topics).
5. Present arguments, draw and justify conclusions (related to these topics).
6. Communicate ideas in Discrete Mathematics in writing.



Workload Full-time hours per semester
Type Hours Description
Lecture24No Description
Tutorial12No Description
Independent Study89No Description
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Sets, Modular Arithmetic, and equivalence relations
Definitions and theorems for sets. Introduction to modular arithmetic and the Euclidean algorithm. Definition and examples of relations.

Mathematical Proofs
Methods of Mathematical proof. Examples from combinatorics; including proofs relevant to second level education.

Combinatorics
Permutations and combinations; introduction to discrete probability; binomial coefficients and combinatorial identities; pigeonhole principle.

Graph Theory
Paths and cycles; travelling salesperson problem; shortest-path algorithm; representations of graphs; planar graphs; instant insanity and other games.

Assessment Breakdown
Continuous Assessment20% Examination Weight80%
Course Work Breakdown
TypeDescription% of totalAssessment Date
AssignmentWritten assessment10%Week 6
AssignmentWritten assessment10%Week 10
Reassessment Requirement Type
Resit arrangements are explained by the following categories:
Resit category 1: A resit is available for both* components of the module.
Resit category 2: No resit is available for a 100% continuous assessment module.
Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 3
Indicative Reading List

  • R. Johnsonbaugh: 1993, Discrete Mathematics, Macmillan Publishing Company,
  • K. A. Ross, C. R. B. Wright: 1999, Discrete Mathematics, Prentice Hall,,
  • R. Diestel: 1997, Graph Theory, Springer N, New York,
Other Resources

65458, Website, 0, Primary resource: Course Notes on Loop;,

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