# Module Directory

## CE141-4-AP-CA:Mathematics for Computing

The details
2017/18
Computer Science and Electronic Engineering (School of)
Colchester Campus & Apprenticeship Location
Autumn & Spring
Current
15
-

Requisites for this module
(none)
(none)
(none)
(none)

(none)

## Key module for

BSC YHG1 Digital and Technology Solutions (Software Engineer)

## Module description

The aim of this module is to cover fundamental mathematics for Computer Scientists. It does not assume A-level mathematics, and the emphasis and delivery will be on understanding the key concepts as they apply to Computer Science.

Additional support is provided by the Talent Development Centre. Participants not having AS or A level mathematics should take a diagnostic test to see whether they would benefit from this extra support.

Learning Outcomes

After completing this module, students will be expected to be able to:

1. Apply propositional logic to simple problems
2. Use counting methods including permutations and combinations
3. Apply the basic notions of sets, and illustrate answers through Venn diagrams
4. Use methods of probability on simple problems
5. Solve problems in linear algebra using vectors and matrices

Outline Syllabus:

Propositional Logic:
Propositions and logical operators. Truth tables. De Morgan's laws. Algebraic rules and inference. Logical identities, Tautologies and Contraditions

Combinatorics:
Fundamental Principle of Counting. Ordered and unordered selections. Selections with and without replacement. Permutations and combinations. Counting methods.

Sets:
Set notation and basic concepts. Definition of sets through propositions. Set intersection, union and complementation. Venn diagrams. Cardinality. Cartesian products. Sample spaces and events.

Probability:
Experiments and outcomes. Sample space, events, relative frequency and probability. Mutual exclusivity and independence. Counting methods. Conditional probability. Mean and variance. The binomial distribution.

Vectors and Matrices:
Basic definitions. Addition and multiplication of matrices, multiplication by scalars. Inversion of 2x2 matrices. Applications. Transformations of the plane. Solving simultaneous equations in two unknowns.Aims

## Module aims

No information available.

## Module learning outcomes

No information available.

## Learning and teaching methods

Students attend lectures and classes in the Autumn term covering half of the course content. The remaining lectures and classes are provided as online course material and webinars. It is possible that local students will opt to attend lectures and classes for CE141.

## Bibliography

This module does not appear to have a published bibliography.

## Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   Progress Test 1 - Week 5    25%
Coursework   Progress Test 2 - Week 9    25%
Coursework   Progress Test 3 - Week 17    25%
Coursework   Progress Test 4 - Week 21    25%
Coursework   Progress Test 5 - Week 25    0%
Exam  120 minutes during Summer (Main Period) (Main)

Coursework Exam
40% 60%

### Reassessment

Coursework Exam
0% 0%
Module supervisor and teaching staff
Prof Klaus McDonald-Maier, email: kdm@essex.ac.uk.
Dr Nigel Newton
CSEE School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770mail address), Telephone 01206 872770csee-schooloffice@essex.ac.uk

Availability
No
No
No

## External examiner

No external examiner information available for this module.
Resources
Available via Moodle
Of 38 hours, 36 (94.7%) hours available to students:
2 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

Further information

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