Module Code: H6DISMTHS
Long Title Discrete Mathematics
Title Discrete Mathematics
Module Level: LEVEL 6
EQF Level: 5
EHEA Level: Short Cycle
Credits: 5
Module Coordinator: MICHAEL BRADFORD
Module Author: MICHAEL BRADFORD
Departments: School of Computing
Specifications of the qualifications and experience required of staff

Master’s degree in mathematics, computing or cognate discipline. May have industry experience also.
 

Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Construct logical mathematical arguments and proofs.
LO2 Apply set algebra and logic operations to demonstrate problem solving and mathematical reasoning capabilities.
LO3 Associate the rules of sets and operations to the areas of Relations and Functions.
LO4 Construct and investigate a range of functions and describe their representations.
LO5 Apply set theoretical concepts and methods of counting to solve combinatorial problems.
LO6 Apply graph theory concepts to represent a set of finite objects and their inter-relationships.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).

No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements

See section 4.2 Entry procedures and criteria for the programme including procedures recognition of prior learning

 

Module Content & Assessment

Indicative Content
Logic & Proof
Propositional Logic. Boolean Operators. Truth Tables. Boolean Expressions
Logic & Proof
Predicates and Quantifiers. Methods of Mathematical Proof
Set Theory
Naïve Set Theory. Finite and infinite sets. Set Operations
Set Theory
Partitions . Product Set and Power Set
Relations & Functions
Binary Relations. Properties of Relations. Equivalence Relations .
Relations & Functions
Partial Orders. Properties of Functions. Composition of Functions. Inverse Functions
Recurrence Relations & Generating Functions
Polynomials. Ordinary and Exponential Generating Functions
Recurrence Relations & Generating Functions
Sequences and Recurrence Relations. Solution of Recurrence Relations. Linear Homogeneous Recurrence Relations. Linear Non-Homogeneous Recurrence Relations
Combinatorics
The Sum Rule and the Product Rule. The Pigeonhole Principle. The Inclusion-Exclusion Principle
Combinatorics
The Factorial Function. Permutations and Combinations
Graph Theory
Definition and Examples. Directed Graphs. Walks, Trails, Paths, Circuits, and Cycles
Graph Theory
Trees. Planar Graphs. Colouring and Matching Graphs.
Assessment Breakdown%
Coursework40.00%
End of Module Assessment60.00%

Assessments

Full Time

Coursework
Assessment Type: Formative Assessment % of total: Non-Marked
Assessment Date: n/a Outcome addressed: 1,2,3,4,5,6
Non-Marked: Yes
Assessment Description:
Ongoing independent and group class activities and feedback.
Assessment Type: Continuous Assessment % of total: 40
Assessment Date: n/a Outcome addressed: 1,2,3,4,5
Non-Marked: No
Assessment Description:
A set of questions relating to Logic, Set Theory, Relations & Functions, and Recurrence Relations & Generating Functions, and Combinatorics.
End of Module Assessment
Assessment Type: Terminal Exam % of total: 60
Assessment Date: End-of-Semester Outcome addressed: 1,2,3,4,5,6
Non-Marked: No
Assessment Description:
Written examination with questions from all module topic areas.
No Workplace Assessment
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
Reassessment Description
The repeat strategy for this module is an examination. All learning outcomes will be assessed in the repeat exam.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Classroom & Demonstrations (hours) 24 Per Semester 2.00
Tutorial Other hours (Practical/Tutorial) 36 Per Semester 3.00
Independent Learning Independent learning (hours) 65 Per Semester 5.42
Total Weekly Contact Hours 5.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 24 Every Week 24.00
Tutorial No Description 36 Every Week 36.00
Independent Learning No Description 65 Every Week 65.00
Total Weekly Contact Hours 60.00
 

Module Resources

Recommended Book Resources
  • Ferland K.. (2017), Discrete Mathematics and Applications (2nd ed), Chapman and Hall/CRC.
  • Kenneth H. Rosen. (2018), Discrete Mathematics and Its Applications, 8th Edition. McGraw-Hill Education, [ISBN: 978-1260091991].
Supplementary Book Resources
  • Oscar Levin. (2016), Discrete Mathematics, Createspace Independent Publishing Platform, p.342, [ISBN: 978-1534970748].
  • Jonathan L. Gross,Jay Yellen,Mark Anderson. (2018), Graph Theory and Its Applications, Chapman & Hall/CRC, p.577, [ISBN: 978-1482249484].
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: