Module Descriptors
ICT BALANCING STUDIES (DISTANCE LEARNING)
MATH40420
Key Facts
Digital, Technology, Innovation and Business
Level 4
15 credits
Contact
Leader: Anne Jenkins
Email: anne.jenkins@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 3
Independent Study Hours: 147
Total Learning Hours: 150
Pattern of Delivery
- Occurrence A, Stoke Campus, UG Semester 1
- Occurrence B, Stoke Campus, UG Semester 2
- Occurrence C, Stoke Campus, UG Semester 3
- Occurrence C, Stoke Campus, UG Semester 3 to UG Semester 1
Sites
- Stoke Campus
Assessment
- Coursework - Multiple Choice Test 1 weighted at 25%
- Coursework - Multiple Choice Test 2 weighted at 25%
- Coursework - Multiple Choice Test 3 weighted at 25%
- Coursework - Multiple Choice Test 4 weighted at 25%
Module Details
LEARNING STRATEGIES
Students will have participated in an award induction workshop where they will learn how to use the Virtual Learning Environment (VLE) employed for the study of this module. Subsequently students will work through the module material provided on the VLE at a pace suggested within the VLE for the module. Students will be encouraged to discuss relevant aspects within discussion forums that are part of the VLE. The forums will allow discussion with a student's peer group as well as the module tutor.
Use IM and VOIP applications (e.g. MSN , Skype) for individual contact/support.
Students are encouraged to see re-enforcement of academic learning through practical experience in their own workplace.
Staffordshire University has subscriptions to electronic book services such as Safari Tech Books, Ebrary and Netlibrary. There are titles in each of the collections that will support students studying this module. Staffordshire University has subscriptions to IEEExplore, ACM Digital Library, Elsevier Science Direct and Infotrac Computer Database all offering full text electronic access to journals and conference proceedings.
Use IM and VOIP applications (e.g. MSN , Skype) for individual contact/support.
Students are encouraged to see re-enforcement of academic learning through practical experience in their own workplace.
Staffordshire University has subscriptions to electronic book services such as Safari Tech Books, Ebrary and Netlibrary. There are titles in each of the collections that will support students studying this module. Staffordshire University has subscriptions to IEEExplore, ACM Digital Library, Elsevier Science Direct and Infotrac Computer Database all offering full text electronic access to journals and conference proceedings.
INDICATIVE CONTENT
Elements of Set Theory. The Concept of a Function. The Elementary Functions (polynomials, log, exp & sin, cosine functions)
Matrix Algebra. Propositional Logic
Introduction to Differential Calculus. Introduction to Integration
Discrete Probability (Rules of probability, Probability trees, Conditional Probability)
Descriptive Statistics
Complex numbers.
Additional trigonometry.
Matrix Algebra. Propositional Logic
Introduction to Differential Calculus. Introduction to Integration
Discrete Probability (Rules of probability, Probability trees, Conditional Probability)
Descriptive Statistics
Complex numbers.
Additional trigonometry.
SPECIAL ADMISSIONS REQUIREMENTS
Must be RAF personnel who have completed Trade Group 4 Basic Trade Training.
RESOURCES
e-library facilities
PC
PC
TEXTS
Foundation Mathematics, K. A. Stroud & D. J. Book, Palgrave Macmillan, 2009, ISBN-10: 0230579078, ISBN-13: 978-0230579071
Foundation Maths, A. Croft and R. Davidson, Prentice Hall (2006), ISBN: 0131979213
Discrete Mathematics for Computer Scientists, J. Truss, Addison-Wesley 1999, ISBN: 0201360616
Foundation Maths, A. Croft and R. Davidson, Prentice Hall (2006), ISBN: 0131979213
Discrete Mathematics for Computer Scientists, J. Truss, Addison-Wesley 1999, ISBN: 0201360616
LEARNING OUTCOMES
1. DEMONSTRATE A KNOWLEDGE OF FUNDAMENTAL AND STATISTICAL CONCEPTS AND PROCESSES APPLICABLE TO COMPUTING. (Knowledge and Understanding).
2. IDENTIFY APPROPRIATE METHODOLOGY FOR SOLVING QUANITATIVE PROBLEMS. (Analysis, Reflection).
3. APPLY SUITABLE MATHEMATICAL OR STATISTICAL TECHNIQUES TO OBTAIN SOLUTIONS. (Application).
4. INTERPRET IN CONTEXT THE SOLUTION(S) TO QUANTITATIVE PROBLEMS. (Analysis, Application).
2. IDENTIFY APPROPRIATE METHODOLOGY FOR SOLVING QUANITATIVE PROBLEMS. (Analysis, Reflection).
3. APPLY SUITABLE MATHEMATICAL OR STATISTICAL TECHNIQUES TO OBTAIN SOLUTIONS. (Application).
4. INTERPRET IN CONTEXT THE SOLUTION(S) TO QUANTITATIVE PROBLEMS. (Analysis, Application).
Assessment Details
4 x Multiple Choice Tests 25% each assessing all learning outcomes