Learning Outcomes of BUMGT5981 Analytical Decision Making Assignment
On successful completion of the course the students are expected to be able to:
Knowledge
K1. Define contexts suitable for numeric-based analysis supporting good decisions
K2. Identify pertinent sources of numeric data and/or suitable methods for generating these data
K3. Recognise appropriate statistical techniques for data analysis including strengths and limitations
K4. Infer results from data analysis applicable to business and management challenges or problems
Skills
S1. Perform fundamental numerical and statistical analysis including data input and hypothesis testing
S2. Apply numerical tools and methods to analyse business and management challenges or problems
S3. Interpret results and finding from numerical analysis including implications
S4. Develop suitable decision support systems supporting good business practices
Application of knowledge and skills
A1. Identify and evaluate workplace contexts relevant for numerical analysis
A2. Develop methods to effectively communicate numerical results to stakeholders
A3. Illustrate workplace examples where numerical analysis support good decision-making
A4. Explain processes for developing decision-support systems for relevant work-place scenarios
Content of BUMGT5981 Analytical Decision Making Assignment
Topics may include:
- Introducing analytical decisions
- Numeracy, probability, risk and modelling
- Data analytics and big data
- Generating and assessing valid data
- Fundamental statistical techniques
- Capacity and demand
- Service quality
- Supply chain analysis
- Forecasting
- Selecting a project portfolio
- Staff selection, KPIs, attrition and satisfaction
- Advanced data models and decision support systems
Values
V1. The importance of numerical analysis to support good decision making
V2. The significance of statistical techniques to answer business and management questions
V3. The relevance of numerical methods used across fields of business and management
V4. The benefits of numeric-based decision support systems in the workplace
Assessment Task 1:
Details of task:
Self-paced series of quizzes completed online for topics 1 – 12 (60 questions in total).
Important: All questions for each of 12 topic quizzes must be answered correctly – Multiple attempts are allowed.
Assessment Task 2:
Details of task:
This assessment is in three parts, 1) group presentation 2) student feedback (individual task), and 3) group summary review. The purpose of the assessment is to highlight a decision making scenario using analytical techniques and to stimulate in class or online discussion and interaction in relation to that issue.
Details are available on the Moodle site. You should have formed a group during by the end of week 3. If you do not have a group by this time then please contact your lecturer for allocation to a group.
Part 1 – 20 minute Group Presentation – 10%
Informative and engaging group presentation actively promoting class participation.
In order to share experiences and insights on the decision-making scenario, the group is asked to prepare a 20 minute presentation based on research and analysis of the chosen topic, and where relevant, integrating group members’ work-related experiences. The presentation may be in any
format the group considers appropriate. Examples may be one or a combination of formal meetings (using agendas, allocating roles and designated seating arrangements), power point presentations, small group work (facilitated by group members), role plays, reality formats and so on. Use of visual material, creativity, and interactive activities are encouraged to stimulate audience interest and engagement.
The presentation should reflect theory and practice and perhaps include a handout.
All group members are expected to participate in the presentation. Marks for Part 1 will be allocated equally within the group unless advised otherwise by the lecturer.
Part 2 – Individual contributions following presentations – 5%
This required participation in other group’s presentations including completion of a feedback sheet.
Students individually are required to participate in a minimum of five presentations (other than that associated with their group). At the end of the presentation, students must submit to the lecturer a feedback on the form provided. This will then be distributed to the group. This feedback should reflect developed thinking, supportive and constructive comments, and show a reasonable effort.
Part 3 – Group reflective review – 5%
Task – 500 word group reflective review (maximum words excluding references [if any] – no minimum word count)
Following individual discussion contributions, the group will review their presentation and audience (other students) feedback in the light of other learnings in the course. The review should make a critical appraisal of key issues, approaches to analysis and indicate the key learning resulting from
this assessment (this may include comments on both the content and process). The group might also comment on: What worked well? What did not work well? How might the presentation have been improved? Was the feedback received as expected?
Assessment Task 3:
Details of task:
This assignment, detailed on the Moodle site, assesses your ability to calculate and interpret data plus how this may feed into management plans or strategies
See also assignment marking guide on the course site.
Assessment Task 4:
Details of task: The final exam structure and example exam is provided on the Moodle site. Exam duration is two hours plus reading time
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