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Course profile

Business Process Management (BISM2203)

Study period
Sem 2 2025
Location
St Lucia
Attendance mode
In Person

Course overview

Study period
Semester 2, 2025 (28/07/2025 - 22/11/2025)
Study level
Undergraduate
Location
St Lucia
Attendance mode
In Person
Units
2
Administrative campus
St Lucia
Coordinating unit
Business School

Improving organisational efficiency and effectiveness is a top priority for senior management. To enable such improvements it is crucial that the organisation be viewed from a process perspective. This course provides students with an introduction to Business Process Management and enables them to develop skills in business process modelling using the international BPMN modelling standard. The course also introduces students to concepts of Lean Thinking and facilitates the development of process improvement skills using several process improvement techniques.

Business Process Management (BPM) is a body of knowledge that relates to the identification, documentation, design, and management of business operations. BPM skills are highly sought after by many organisations as they enable positive change with respect to operational resilience and efficiency. In today’s global and competitive environment, the ability to identify and eliminate waste, as well as to redesign processes to take advantage of new technologies, is key to organisations remaining competitive.

Sustainable Development Goals - UQ Business School is a proud supporter and Advanced Signatory of the United Nations Principles for Responsible Management Education (UN PRME). As part of the largest global collaboration between business schools and the UN, the school emphasises its role in empowering students to drive societal transformation through the Sustainable Development Goals. The SDGs highlight that a thriving economy relies on a healthy environment, aiming to balance economic growth, social well-being, and environmental protection for a sustainable future.

Course requirements

Assumed background

Before attempting this course, students are advised that it is important to complete the appropriate prerequisite course(s) listed on the front of this course profile. No responsibility will be accepted by the School of Business, the Faculty of Business, Economics and Law or The University of Queensland for poor student performance occurring in courses where the appropriate prerequisite(s) has/have not been completed, for any reason whatsoever.

Prerequisites

You'll need to complete the following courses before enrolling in this one:

BISM1201

Incompatible

You can't enrol in this course if you've already completed the following:

MGTS2203 or BISM7216 or MGTS7216

Restrictions

Quota: Minimum of 35 enrolments

Course contact

Course staff

Lecturer

Mrs Shahrzad Roohy Gohar

Timetable

The timetable for this course is available on the UQ Public Timetable.

Additional timetable information

Please note: Teaching staff do not have access to the timetabling system to help with class allocation. Therefore, should you need help with your timetable and/or allocation of classes, please ensure you email business.mytimetable@uq.edu.au from your UQ student email account with the following details:

  • Full Name
  • Student ID
  • Course Code

Aims and outcomes

This course aims to introduce students to Business Process Management (BPM) and various process improvement techniques used in business to improve operational efficiency and effectiveness. Students will
develop knowledge of the process lifecycle and skills in modelling organisational processes using the international BPMN modelling standard, and further develop knowledge of several popular process
analysis and improvement techniques, including Lean.

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Demonstrate knowledge of Business Process Management and the process lifecycle.

LO2.

Apply business process modelling skills using international modelling standards.

LO3.

Apply knowledge of process improvement techniques including as part of a team.

LO4.

Analyse common process bottlenecks and problems.

LO5.

Demonstrate process analysis skills.

Assessment

Assessment summary

Category Assessment task Weight Due date
Project, Tutorial/ Problem Set A1: Process Modelling
30%

Milestone 1 28/08/2025 2:00 pm

Milestone 2 4/09/2025 2:00 pm

Final Submission 11/09/2025 2:00 pm

Paper/ Report/ Annotation, Project A2: Team Process Improvement Project
  • Team or group-based
25%

Milestone 1 9/10/2025 2:00 pm

Milestone 2 16/10/2025 2:00 pm

Final Submission 23/10/2025 2:00 pm

Examination Final Exam
  • Identity Verified
  • In-person
45%

End of Semester Exam Period

8/11/2025 - 22/11/2025

Assessment details

A1: Process Modelling

Mode
Product/ Artefact/ Multimedia, Written
Category
Project, Tutorial/ Problem Set
Weight
30%
Due date

Milestone 1 28/08/2025 2:00 pm

Milestone 2 4/09/2025 2:00 pm

Final Submission 11/09/2025 2:00 pm

Other conditions
Longitudinal.

See the conditions definitions

Learning outcomes
L02

Task description

  • For this individual project, you are required to model an as-is process using the BPMN modelling notation.
  • A narrative of the process (process walkthrough) will be provided for you to interpret and model.
  • This assignment will include multiple graded milestones to be submitted prior to the final submission date. Feedback on the correct approach will be provided in tutorials after each milestone to assist with learning key techniques, with the assignment grade provided after all components have been submitted.
  • Milestone submissions must be made on the due dates, or within 3 days even if an extension has been approved as per UQ's formal process. Any later submissions will not be marked for that component.
  • Further details about this project will be discussed in class and posted to our course Blackboard site.

AI Statement

Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.

A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.

Submission guidelines

Online submission through Blackboard Assessment link.

Deferral or extension

You may be able to apply for an extension.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

A2: Team Process Improvement Project

  • Team or group-based
Mode
Product/ Artefact/ Multimedia, Written
Category
Paper/ Report/ Annotation, Project
Weight
25%
Due date

Milestone 1 9/10/2025 2:00 pm

Milestone 2 16/10/2025 2:00 pm

Final Submission 23/10/2025 2:00 pm

Other conditions
Peer assessed, Longitudinal.

See the conditions definitions

Learning outcomes
L01, L02, L03, L04, L05

Task description

  • You will be required to work in teams of 4-5 students for this project.
  • Based on a provided scenario, your task requires modelling of an as-is process, analysis of the process, and development of improvement recommendations and a related to-be process model.
  • This assignment will include graded milestones prior to the final submission date. Feedback on the correct approach will be provided in tutorials after each milestone to assist with learning key techniques, with the assignment grade provided after all components have been submitted.
  • Further details about this project will be discussed in class and posted to our course Blackboard site.
  • This project, being a team project, will use Group Peer Assessment to ensure all team members have contributed well to the team. 
  • All team members will evaluate their fellow team members, and this peer evaluation process may affect an individual's mark (ie, it may be that not all team members receive the same mark). Therefore, you are strongly encouraged to incorporate mechanisms that capture evidence about the team process, such as dates/agendas for meetings, fair/agreed allocation of duties, internal team timelines, etc. 
  • Your peer assessment outcome will moderate your total marks for this assignment.
  • A detailed rubric for the project is accessible via Blackboard.

AI Statement

Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.

A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.

Submission guidelines

Online submission through Blackboard Assessment link.

Deferral or extension

You may be able to apply for an extension.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Final Exam

  • Identity Verified
  • In-person
Mode
Written
Category
Examination
Weight
45%
Due date

End of Semester Exam Period

8/11/2025 - 22/11/2025

Other conditions
Time limited, Secure.

See the conditions definitions

Learning outcomes
L01, L02, L04, L05

Task description

Your final exam will be a closed-book invigilated and in-person exam. The exam duration will be 2 hours. 

It will be largely based on a mini-case study scenario as described in the text. As such, it will require you to comprehend, assess, analyse and recommend solutions using techniques taught on the course. There will also be multiple choice questions and short answer questions. This is an individual assessment. Academic integrity provisions will be applied. The allocation of marks will be clearly indicated on each question. The exam will cover all course materials.

Further details will be discussed in class and posted to our course Blackboard website.

AI Statement

This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.

Exam details

Planning time 10 minutes
Duration 120 minutes
Calculator options

(In person) Casio FX82 series only or UQ approved and labelled calculator

Open/closed book Closed book examination - no written materials permitted
Exam platform Paper based
Invigilation

Invigilated in person

Submission guidelines

Deferral or extension

You may be able to defer this exam.

Course grading

Full criteria for each grade is available in the Assessment Procedure.

Grade Cut off Percent Description
1 (Low Fail) 0 - 29

Absence of evidence of achievement of course learning outcomes.

2 (Fail) 30 - 46

Minimal evidence of achievement of course learning outcomes.

3 (Marginal Fail) 47 - 49

Demonstrated evidence of developing achievement of course learning outcomes

4 (Pass) 50 - 64

Demonstrated evidence of functional achievement of course learning outcomes.

5 (Credit) 65 - 74

Demonstrated evidence of proficient achievement of course learning outcomes.

6 (Distinction) 75 - 84

Demonstrated evidence of advanced achievement of course learning outcomes.

7 (High Distinction) 85 - 100

Demonstrated evidence of exceptional achievement of course learning outcomes.

Additional course grading information

Grades will be allocated according to University-wide standards of criterion-based assessment.

Supplementary assessment

Supplementary assessment is available for this course.

Learning resources

You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.

Library resources

Library resources are available on the UQ Library website.

Additional learning resources information

Sustainable Development Goals

This course integrates the following Sustainable Development Goals throughout course learning activities.

Goal 8: Decent work and economic growth

Goal 9: Industries, innovation and infrastructure

Goal 12: Responsible consumption and production

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Learning period Activity type Topic
Week 1
Lecture

Business Process Management and Business Value

Introduction to the course and the business process lifecycle.

Learning outcomes: L01

Week 2
Lecture

BPM History and Enterprise Capability

Learn about key ideas that have influenced BPM, and understand the required enterprise capability.

Learning outcomes: L01

Tutorial

Tute 1 - Process Management & Business Value

Introduction to the course and the business process lifecycle.

Learning outcomes: L01

Week 3
Lecture

Process Modelling with BPMN

Introduction to BPMN modelling using basic constructs

EKKA Public Holiday - Wednesday 13 August 2025 - Check Blackboard for announcements about affected classes.

Learning outcomes: L02

Tutorial

Tute 2 - BPM History and Enterprise Capability

Learn about key ideas that have influenced BPM, and understand the required enterprise capability.

Learning outcomes: L01

Week 4
Lecture

Process Modelling Practice

Put your BPMN skills to practice: hands-on practical session using basic BPMN constructs

Learning outcomes: L02

Tutorial

Tute 3 -Process Modelling with BPMN

Introduction to BPMN modelling using basic constructs

Learning outcomes: L02

Week 5
Lecture

Extended Process Modelling

Extend your modelling skills with a select set of advanced BPMN constructs

Learning outcomes: L02

Tutorial

Tute 4 - Process Modelling Practice

Put your BPMN skills to practice: hands-on practical session using basic BPMN constructs

Learning outcomes: L02

Week 6
Lecture

Process Identification and Process Architectures

Learn about Process Architectures and how they are identified/designed.

Learning outcomes: L01, L05

Tutorial

Tute 5 - Extended Process Modelling

Extend your modelling skills with a select set of advanced BPMN constructs

Learning outcomes: L02

Week 7
Lecture

Process Discovery and Process Mining

Learn about methods used to understand current processes so they can be modelled.

Learning outcomes: L02, L05

Tutorial

Tute 6 - Process ID & Process Architectures

Learn about Process Architectures and how they are identified/designed.

Learning outcomes: L01, L05

Week 8
Lecture

Qualitative Process Analysis

Learn about Lean and how it differs from Six Sigma. Discover value-added analysis & related qualitative analyses. Introduction to group work.

Learning outcomes: L03, L04

Tutorial

Tute 7 - Process Discovery and Process Mining

Learn about methods used to understand current processes so they can be modelled.

Learning outcomes: L02, L05

Week 9
Lecture

Quantitative Process Analysis

Process Flow Analysis & Simulation

Learning outcomes: L03, L04

Tutorial

Tute 8 - Qualitative Process Analysis

Learn about Lean and how it differs from Six Sigma. Discover value-added analysis & related qualitative analyses. Introduction to group work.

Learning outcomes: L03, L04

Mid Sem break
No student involvement (Breaks, information)

In-Semester Break

Week 10
Lecture

Process Improvement

Process Redesign

Learning outcomes: L01, L03, L04, L05

Tutorial

Tute 9 - Quantitative Process Analysis

Process Flow Analysis & Simulation

Learning outcomes: L03, L04

Week 11
Lecture

Process Implementation and Monitoring

Learn about technical and organisational aspects of process implementation, as well as methods for process monitoring.

Learning outcomes: L04, L05

Tutorial

Tute 10 - Process Improvement

Process Redesign

Learning outcomes: L01, L03, L04, L05

Week 12
Lecture

Industry Guest Lecture: Process Improvement Applied

Fascinating, real-life insights and examples of improving business processes - including process digitisation - from a highly experienced BPM practitioner.

Learning outcomes: L01, L03, L04

Tutorial

Tute 11 - Process Implementation and Monitoring

Learn about technical and organisational aspects of process implementation, as well as methods for process monitoring.

Learning outcomes: L04, L05

Week 13
Lecture

Course Review, Simulation and Exam Preparation

Learning outcomes: L01, L02, L03, L04, L05

Tutorial

Tute 12 - Industry: Process Improvement Applied

Fascinating, real-life insights and examples of improving business processes - including process digitisation - from a highly experienced BPM practitioner.

Learning outcomes: L01, L03, L04

Policies and procedures

University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.