BBS2025 Computational Thinking for Business Individual Assignment: Optimising Cross-Departmental Processes with Automation and CT Principles

BBS2025 – Computational Thinking for Business Individual Assignment (35%)

1. Learning Objectives

a. Analyse and improve real-world business processes using Computational Thinking.

b. Represent current and proposed processes using structured pseudocode.

c. Apply the four CT elements: decomposition, pattern recognition, abstraction, and algorithm.

d. Automate a process using Power Automate and enhance it with Copilot prompts.

e. Evaluate process effectiveness through success metrics and reflect on limitations.

2. Requirements

a. This is an individual assignment that carries a maximum of 100 marks and constitutes 35% of the overall assessment for this subject. Students are expected to work alone when preparing the assignment.

b. Students will take on the role of a Business Analyst and carry out the following:

i) Select one company from an industry listed in Singapore’s Industry Transformation Maps (MTI) such as aerospace, logistics, or healthcare.

ii) Identify a business process that spans across two departments (e.g., from inventory to finance).

iii) Students are not allowed to use any companies surfaced in the group assignment.

c. Students are required to complete all five core tasks outlined below:

i) Task 1: Understand the Process and Problem

• Identify an industry and a relevant cross-departmental process.
• Describe the selected process.

ii)Task 2: Examine the Current Process (As-Is)

• Describe the current (As-Is) process using pseudocode.
• Identify key impediments within the process.
• Explain where and how the CT elements: Decomposition, Pattern Recognition, Abstraction, and Algorithm were applied in this process. Present your critical thinking (CT) analysis clearly in a structured table format, using the template provided in Appendix A.

iii. Task 3: Interpret and Improve the Process (To-Be)

• Describe the improved (To-Be) version of the process using pseudocode.
• Distinguish the improvements made or give examples of why change may not be feasible.

iv. Task 4: Apply Automation Concepts with Power Automate

• Describe how you used Power Automate to automate part of the process. Present your answer using the template provided in Appendix B.
• Give examples of how a CO-STAR prompt was used to enhance your design.
• Interpret how the CO-STAR prompt supported your CT or automation logic.

v. Task 5: Evaluate the Outcome and Reflect

• Identify relevant SMART success metrics for your proposed solution.
• Describe any assumptions, risks, or limitations that could affect the process outcome.

3. Report Format & Submission

a. The assignment MUST follow the format below:

i. Complete the Cover Page – Individual Assignment

ii. No of Pages: Must NOT exceed 12 pages, excluding cover page, content page, reference page and appendices. Contents on subsequent pages will not be graded.

iii. For other format requirements such as Font Size and Font Type, refer to the student kit.

b. The assignment is to be saved as the following naming convention and submitted in LMS by 18 August 2025, Monday, 5:00pm.

i. File Naming Convention: Admission No_Tutorial Group_Name_IA.docx

ii. Submission through other means (e.g. physical, email) will not be accepted.

Your final submission should consist of the following items in the order listed:

i. Cover Page
ii. Table of Contents
iii. Declaration of Originality
iv. Task 1: Understand the Process and Problem
v. Task 2: Examine the Current Process (As-Is)
vi. Task 3: Interpret and Improve the Process (To-Be)
vii. Task 4: Apply Automation Concepts with Power Automate
viii. Task 5: Evaluate the Outcome and Reflect
ix. References
x. Appendix

4. Submission Policy

a. Any plagiarism of work would result in zero marks for this project.

b. Assignments submitted after the deadline will be penalised by 20% of the total marks. Any assignment submitted more than 3 days after the deadline will be given “0” marks.

5. Guidelines

a. This is an INDIVIDUAL assignment that carries a maximum of 100 marks and constitutes 35% of the overall assessment for this subject. Students are expected to do additional research and readings when completing their report.

b. In this assignment, you may use generative artificial intelligence (GenAI) tools for research purposes. All use of generative AI must be appropriately acknowledged. A Declaration of Originality form must be submitted.

c. The pseudocode should exhibit the behaviour of the system and not the stakeholders.

d. Students must ensure that all files submitted can be opened and viewed in Microsoft Word.

BBS2025 Marking Rubrics