2022/3, Trimester 1, BLENDED,
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| Occurrence: | 001 |
| Primary mode of delivery: | BLENDED |
| Location of delivery: | CRAIGLOCKHAR |
| Partner: | |
| Member of staff responsible for delivering module: | Max Chipulu |
| Module Organiser: | |
| Learning, Teaching and Assessment (LTA) Approach: |
The module will be organised around activities to develop core knowledge and supplemented by deeper exploration of key concepts and real cases of data use in business. It will comprise 10 interconnected ‘learning weeks’ from week 2 to 13, which will be delivered in blended format. There will be a total of 24 hours direct contact time, distributed across different learning activities. On-campus teaching:• 10*1-hour lectures.• 4*1.5-hour tutorials.Online:• 4*1-hour Seminars (Q&A and Discussion).• 1*2-hour Practical.Learning and teaching methods will include:• Introductory lectures • Individual assignments• Case study/problem solving activities• In-class debate and discussion• Private study• Use of online materials• Group project working • Guest lecture or interaction with industry experts, if available. As a result, the module learning outcomes will be developed as follows:• LO 1 and LO 2 will be developed through case study/problem solving activities.• LO 3 will utilize current thinking in industry and analysis of state-of-the-art applications • LO 4 will be developed through participative and interactive in-depth class activities.A guide, e.g., graphical syllabus, will be provided on Moodle to signpost students through the diverse learning activities.
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Formative assessment will be through in-class activities –and self-paced independent work.Directed, verbal formative feedback will be given by the lecturers throughout the Online Q&A and discussion sessions, as well as whenever possible during the other learning activities or by personal appointments with the lecturers.Written formative feedback will also be provided by the lecturers through email communications and Q and A forums on Moodle.
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The module will be assessed via 100% coursework, split into two components:Component 1 will be an Individual Report weighted at 30% of the overall module mark, which will cover LO 1 and LO 2. You will choose a company from a provided list. Based on internet research of the selected company, you will then write a report (1500 words) to discuss how the selected company uses data as a core asset in its business model through strategy, integration and innovation. Component 2 will be an Individual Analysis Project weighted at 70% of the overall mark and will cover LO 1, LO 2 and LO 3 and LO 4. It will be a continuation of the analysis from component 1. You will use feedback from assignment 1 to complete a more in-depth, and wider ranging analysis (2000 word) of how the selected company creates value through data. As well as strategy, integration and innovation, your discussion must include how the company draws value through business analytics, machine learning and AI; its use of data in sustainability and how it handles the challenges of managing data including security and ethical use.
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| Student Activity (Notional Equivalent Study Hours (NESH)) |
| Mode of activity | Learning & Teaching Activity | NESH (Study Hours) |
| Face To Face | Lecture | 10 |
| Face To Face | Tutorial | 6 |
| Independent Learning | Guided independent study | 176 |
| Online | Seminar | 6 |
| Online | Practical classes and workshops | 2 |
| Total Study Hours | 200 |
| Expected Total Study Hours for Module | 200 |
| Assessment |
| Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words |
| Report | 30 | LO1, LO2 | 8 | , WORDS= 1500 |
| Report | 70 | ALL | 14/15 | , WORDS= 2000 |
| Component 1 subtotal: | 30 | |
| Component 2 subtotal: | 70 | | | |
| Module subtotal: | 100 | | | |