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Curricular information is subject to change
On successfully completion of the module, students should be able to
(i) Demonstrate a deep understanding of key issues surrounding strategic management decision making.
(iii) Evaluate and discuss organisations’ market performance utilising Bloomberg’s infrastructure.
(iv) Understand the manager's role in data interpretation and business recommendation formulation utilising an online business simulation.
Strategic Decision Making in the context of implementing an organisation's Digital Business strategy
Virtual Team Management
Bloomberg Infrastructure
Bloomberg Global Trading Challenge Competition
Big Data Online Business Simulation (Harvard Business Publishing)
Student Effort Type | Hours |
---|---|
Seminar (or Webinar) | 7 |
Computer Aided Lab | 5 |
Specified Learning Activities | 36 |
Autonomous Student Learning | 60 |
Online Learning | 5 |
Total | 113 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Essay: Strategic Decision Making Online Simulation (Harvard Business Publishing) Essay | Coursework (End of Trimester) | n/a | Standard conversion grade scale 40% | No | 30 |
Lab Report: Investment Proposal (Infographic) | Week 4 | n/a | Standard conversion grade scale 40% | No | 20 |
Group Project: Bloomberg "Global Trading Challenge" project and report | Week 11 | n/a | Standard conversion grade scale 40% | No | 40 |
Continuous Assessment: Completion of Harvard ManageMentor (Digital Intelligence) | Varies over the Trimester | n/a | Pass/Fail Grade Scale | No | 10 |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Not yet recorded.
Lecture | Offering 1 | Week(s) - 1, 10, 11, 12 | Mon 15:00 - 16:50 |
Computer Aided Lab | Offering 1 | Week(s) - 2, 3, 4, 5, 6, 7, 8, 9 | Mon 15:00 - 15:50 |
Computer Aided Lab | Offering 2 | Week(s) - 2, 3, 4, 5, 6, 7, 8, 9 | Mon 16:00 - 16:50 |