Module Additional Assessment Details
A portfolio containing (3000 words)
- Primary research data with discussion of associated legislation, issues etc.
- Analysis and presentation of results
- Summary of findings, decisions, resolutions etc
(Learning outcomes 1, 2, 3 and 4)
Module Texts
The following are not essential texts but will provide useful background reading:
The Study Skills Book (Smarter Study Skills), Kathleen McMillan and Jonathan Weyers, 2012, Pearson Education Ltd, ISBN-10: 0273773313, ISBN-13: 978-0273773313 (Edition: 3)
Foundation Maths, Croft, A., Davidson, R., 2010, Addison-Wesley,, ISBN-10: 0273730762, SBN-13: 978-0273730767 (Edition: 5)
Module Special Admissions Requirements
Prior study of CESCOM10090-4 Professional and Academic Skills for ICT I or equivalent.
Module Indicative Content
This module explicitly focuses on significant elements required for the achievement of the STAFFORDSHIRE GRADUATE ATTRIBUTES.
- Communication skills
- Presentation skills
- Skills of problem solving and creation of opportunities
- Technologically, digitally and information literate
The module will cover the following:
* Professional Development
- Communication skills
- Use of relevant applications to support communication and collaboration
* Primary research
- Primary Research Methods
- Data quality
* Data and information
- Compliance with legislation eg. the Data protection Act, UK Freedom of Information Act 2000. Consumer Protection Act 1987.
- The role of data and information in operations, decision making and forward planning.
- Considering the currency, relevance and sensitivity of the data, source and context of the and general trends of the information under examination
* Basic arithmetic and mathematical concepts required for Computing including
- Propositional Logic - The basics and operators, truth tables, equivalence, valid arguments..
- Elements of Set Theory - The basics concept and operators, Venn diagrams, the concept of a function and inverse functions for simple polynomials.
- Probability - Rules of probability, Probability trees, Conditional Probability.
Descriptive Statistics ¿ tabulating and charting data, averages, measures of spread
- Use of graphs and charts for the presentation of statistics
Module Learning Strategies
The module content may be delivered in a series of lecture/tutorial sessions taking up 20 hours of contact time.
Non-contact time will be used for independent research and workplace-based learning
Work-based Component
Students are encouraged to spend around 20 hours over the course of the module seeking re-enforcement of academic learning through practical experience in a real or simulated ICT work environment. This will include investigation of how aspects of the taught material apply to the workplace through the use of worksheets and will inform the coursework assignment. Students will have access to a workplace based mentor (or university personal tutor where the work environment is simulated. While it is difficult to be prescriptive, Mentors/tutors will usually devote around 5 hours to their mentees/tutees during the course of this module either on a one to one basis or in groups if possible. The time will be used to support the mentees in their completion of set tasks.
2 hours of Academic Tutor Contact time will be used for formative and summative reviews. Where necessary, reviews may be conducted virtually using appropriate tools. There will be two formative reviews lasting 30 minutes and a summative review lasting 1 hour. Work-practice Feedback Forms will be completed by the work-based mentor/tutor and self-assessment forms will be completed by the student. These will inform the reviews