Module Specifications..
Current Academic Year 2023 - 2024
Please note that this information is subject to change.
| |||||||||||||||||||||||||||||||||||||||
|
Repeat examination |
|||||||||||||||||||||||||||||||||||||||
|
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. | |||||||||||||||||||||||||||||||||||||||
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
Logicpropositional calculus, logical equivalences and rewrite rules, quantifiersSetsset operations and their rules, the standard sets N, Z, Q, R, C, Venn diagrams, Cartesian product of setsRelationsbinary relations and their representations, properties of relations, equivalence relations and partitionsFunctionsfunction and graphs, properties of functions, invertible functions, composition of functions, standard functions, linear functions, functions in business and economicsCombinatoricsaddition and product principles of counting, permutations and combinations, binomial theorem, selections with or without replacement where order is important or notProbabilityoutcome, 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
| |||||||||||||||||||||||||||||||||||||||
|
Other Resources None | |||||||||||||||||||||||||||||||||||||||
Programme or List of Programmes
| |||||||||||||||||||||||||||||||||||||||
| Archives: |
| ||||||||||||||||||||||||||||||||||||||