Module: Mathematics for Enterprise Computing

Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title	Mathematics for Enterprise Computing
Module Code	MTH1016 (ITS: MS115)
Faculty	Mathematical Sciences	School	Science & Health
NFQ level	8	Credit Rating	5

Description

To give students a solid grounding in several mathematical topics of relevance to enterprise computing.

Learning Outcomes

1. Demonstrate an understanding of basic probability.
2. Illustrate economics, finance and other business related processes using basic mathematical models and graphical representation where appropriate.
3. Apply their mathematical knowledge to the study of economic phenomena, including supply and demand, revenue, cost and profit, national economy models.
4. Demonstrate an understanding of mathematics for databases, including sets and logical operators.
5. Demonstrate an understanding of mathematics for programming.

*Type*	*Hours*	*Description*
Workload	Full time hours per semester
Lecture	24	No Description
Tutorial	12	No Description
Independent Study	89	No Description
Total Workload: 125

Section Breakdown
CRN	11194	Part of Term	Semester 1
Coursework	0%	Examination Weight	0%
Grade Scale	40PASS	Pass Both Elements	Y
Resit Category	RC3	Best Mark	Y
Module Co-ordinator	Marco Viola	Module Teacher	Ho Man Tai, Thorsten Neuschel

Type	Description	% of total	Assessment Date
Assessment Breakdown
In Class Test	n/a	20%	n/a
Formal Examination	n/a	80%	End-of-Semester

Reassessment Requirement Type
Resit arrangements are explained by the following categories; RC1: A resit is available for both^* components of the module. RC2: No resit is available for a 100% coursework module. RC3: No resit is available for the coursework component where there is a coursework and summative examination element. ^* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

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

Logic
propositional calculus, logical equivalences and rewrite rules, quantifiers

Sets
set operations and their rules, the standard sets N, Z, Q, R, C, Venn diagrams, Cartesian product of sets

Relations
binary relations and their representations, properties of relations, equivalence relations and partitions

Functions
function and graphs, properties of functions, invertible functions, composition of functions, standard functions, linear functions, functions in business and economics

Combinatorics
addition and product principles of counting, permutations and combinations, binomial theorem, selections with or without replacement where order is important or not

Probability
outcome, sample space, event, probability measure, equally likely outcomes, addition and complement rules for probabilities, conditional probability, independent events, Bernoulli trials, the binomial distribution, Normal distribution as limit of binomials

Indicative Reading List

Books:

Rod Haggarty: 0, Discrete mathematics for computing, Harlow, England ; Addison-Wesley, c2002., 0201730472
Ian Jacques: 0, Mathematics for economics and business, Workingham, England ; Addison-Wesley, c1995., 0201427699

Articles:
None

Other Resources

None