IFN515 Fundamentals of Business Process Management
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | IFN515 |
|---|---|
| Prerequisite(s): | (192cps in SV04 or IV04 or IV05 or MV05 or MV06 or BV06 or BV07 or EV08 or EV07) OR (admission into IV57 or IV54 or IV59 or IV55 or IV52 or IV56 or IV51 or IV58 or IV60) OR (admission into IN10 or IN14 or IN17 or IN19 or IN20 or IN23 or IN25 or IN26 or IN27 or IN31or PM20 or PV20 or PV21 or EN75 or EN76 or EN77). |
| Antirequisite(s): | INN321 |
| Equivalent(s): | IFQ515, IFZ515 |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $1,118 |
| Domestic tuition unit fee | $3,528 |
| International unit fee | $4,824 |
Unit Outline: Semester 1 2024, Gardens Point, Internal
| Unit code: | IFN515 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | (192cps in SV03 or IV04 or MV05 or BV06 or EV08) or (enrolment in IV53 or IV54 or IV55 or IV56 or IV58 or IN10 or IN14 or IN17 or IN19 or IN20 or IN23 or IN25 or IN26 or IN27 or BS11 or BS79). |
| Equivalent: | IFQ515 or (IAB203 AND IAB320) |
| Anti-requisite: | INN321 |
| Coordinator: | Wasana Bandara | w.bandara@qut.edu.au |
Overview
This unit provides an in-depth introduction towards the management of Business Processes. It takes you through the fundamental lifecycle phases of a typical business process improvement initiative, from process identification to process monitoring, covering process modelling, analysis, improvement and automation.
Learning Outcomes
On successful completion of this unit you will be able to:
- Explain how the business process management lifecycle is applied to guide the management and improvement of organisations' processes.
- Analyse a business scenario to identify opportunties for business process improvement.
- Generate and evaluate business process improvement ideas using a variety of quantitative and qualitative analysis techniques .
- Create AS-IS and TO-BE business process models using BPMN.
- Optimise services and other processes in an organisation by communicating with business and IT stakeholders.
- Collaborate and communicate in a team environment to deliver business process models and improvements in a written report for a client.
Content
This unit introduces a Business Process Management lifecycle and walks you through all the stages of improving a process from beginning to end. Process modelling plays a crucial role across multiple phases of the lifecycle and is specifically focused and covered in depth as an essential analysis tool and a platform for process improvements and redesign.
This unit will develop specific skills for Business Process modelling and improvement as well as general skills in critical thinking, team work, presentation and writing skills.
Learning Approaches
The content of the unit is delivered through lectures, tutorials, case studies, and the QUT Canvas site. Lectures cover theoretical aspects of the unit, and tutorial sessions provide an opportunity to solve practical problems, based on the current week's lecture. Tutorial staff will be available to provide assistance.
The unit emphasises a 'hands-on' approach to learning via the illustration of new concepts through worked examples and demonstrations. The concepts introduced are presented in business scenarios. You will work on the case studies in the tutorials. You are encouraged to work within your assignment groups.
Feedback on Learning and Assessment
The two assignments will be based on the material covered in the lectures and tutorials. The related tasks will be discussed during these contact hours. This will provide you with a deeper understanding of the nature of the tasks. Selected supporting resources will be provided on the unit homepage. A marking guide will be available for the two assignments. A detailed marking of assignments will provide you with comprehensive feedback.
Teaching staff are available during the tutorials and consultation hours to clarify or elaborate on the assignment content and provide constructive feedback.
For the final exam you will be referred to the Faculty's formal 'Review of exam' procedures.
Assessment
Overview
The assessment in this unit has been designed to provide you with a scaffolded learning experience.
Written assessments will be submitted to the Assignment minder at the set deadlines. Additional support for all assessment will be provided throughout the semester.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Case study
You will be provided with a realistic and detailed case study that you have to analyse following methods and techniques that will be taught in the first weeks of the semester. You will submit a detailed process analysis report (including as-is process maps) and have to be prepared to present your results in the classroom. You will get comprehensive feedback.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Case Study
You will continue work from Assessment 1. You will select and design a specific phased out solution for an improved process which includes the to-be models and related soft and technical implementation plans.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Exam
Final written exam
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Dumas, Marlon, La Rosa, Marcello, Mendling, Jan, and Reijers, Hajo A (2018) “Fundamentals of business process management” ISBN 978-3-662-56508-7
Risk Assessment Statement
There are no unusual health or safety risks associated with this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EN75 Master of Sustainable Infrastructure with Data Analytics
- Demonstrate and apply advanced and specialist discipline knowledge, concepts, methods and practices as they relate to contemporary practice in Sustainable Infrastructure and Data Analytics domains
Relates to: Case Study, Exam - Analyse and evaluate problems in Sustainable Infrastructure and Data Analytics domains using technical approaches informed by contemporary practice and leading-edge research to achieve evidence based, innovative, critically informed solutions and outcomes
Relates to: Case study, Case Study, Exam - Apply innovative, systematic approaches to plan, design, deliver and manage projects in Sustainable Infrastructure and Data Analytics domains in a way that assures sustainable outcomes and strategic objectives over their whole lifecycle
Relates to: Case Study - Effectively communicate problems in Sustainable Infrastructure and Data Analytics domains, related complex data and information, and solutions in contemporary professional formats for diverse purposes and audiences
Relates to: Case study, Case Study
EN76 Master of Renewable Energy with Data Analytics
- Demonstrate and apply advanced and specialist discipline knowledge, concepts, methods and practices as they relate to contemporary practice in Renewable Energy and Data Analytics domains
Relates to: Case Study, Exam - Analyse and evaluate problems in Renewable Energy and Data Analytics domains using technical approaches informed by contemporary practice and leading-edge research to achieve evidence based, innovative, critically informed solutions and outcomes
Relates to: Case study, Case Study, Exam - Apply innovative, systematic approaches to plan, design, deliver and manage projects in Renewable Energy and Data Analytics domains in a way that assures sustainable outcomes and strategic objectives over their whole lifecycle
Relates to: Case Study - Effectively communicate problems in Renewable Energy and Data Analytics domains, related complex data and information, and solutions in contemporary professional formats for diverse purposes and audiences
Relates to: Case study, Case Study
EN77 Master of Advanced Manufacturing with Data Analytics
- Demonstrate and apply advanced and specialist theory-based discipline knowledge, concepts, methods and practices as they relate to contemporary practice in Advanced Manufacturing and Data Analytics domains
Relates to: Case Study, Exam - Employ advanced specialist technical skills, analysis approaches, design, and data to the solution of problems in Advanced Manufacturing and Data Analytics domains, critically evaluating solutions and practice-informed performance to deliver whole of life requirements and strategic objectives
Relates to: Case study, Case Study, Exam - Develop and employ professional leadership skills and management frameworks to deliver projects, lead teams, and enact change in Advanced Manufacturing and Data Analytics domains
Relates to: Case Study - Implement professional communication and collaborative skills while engaging with stakeholders, exchanging ideas, and presenting complex information to specialist and non-specialist audiences in Advanced Manufacturing and Data Analytics domains
Relates to: Case study, Case Study
Unit Outline: Semester 2 2024, Gardens Point, Internal
| Unit code: | IFN515 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | (192cps in SV03 or IV04 or MV05 or BV06 or EV08) or (enrolment in IV53 or IV54 or IV55 or IV56 or IV58 or IN10 or IN14 or IN17 or IN19 or IN20 or IN23 or IN25 or IN26 or IN27 or BS11 or BS79). |
| Equivalent: | IFQ515 |
| Anti-requisite: | INN321 |
| Coordinator: | Wasana Bandara | w.bandara@qut.edu.au |
Overview
This unit provides an in-depth introduction towards the management of Business Processes. It takes you through the fundamental lifecycle phases of a typical business process improvement initiative, from process identification to process monitoring, covering process modelling, analysis, improvement and automation.
Learning Outcomes
On successful completion of this unit you will be able to:
- Explain how the business process management lifecycle is applied to guide the management and improvement of organisations' processes.
- Analyse a business scenario to identify opportunties for business process improvement.
- Generate and evaluate business process improvement ideas using a variety of quantitative and qualitative analysis techniques .
- Create AS-IS and TO-BE business process models using BPMN.
- Optimise services and other processes in an organisation by communicating with business and IT stakeholders.
- Collaborate and communicate in a team environment to deliver business process models and improvements in a written report for a client.
Content
This unit introduces a Business Process Management lifecycle and walks you through all the stages of improving a process from beginning to end. Process modelling plays a crucial role across multiple phases of the lifecycle and is specifically focused and covered in depth as an essential analysis tool and a platform for process improvements and redesign.
This unit will develop specific skills for Business Process modelling and improvement as well as general skills in critical thinking, team work, presentation and writing skills.
Learning Approaches
The content of the unit is delivered through lectures, tutorials, case studies, and the QUT Canvas site. Lectures cover theoretical aspects of the unit, and tutorial sessions provide an opportunity to solve practical problems, based on the current week's lecture. Tutorial staff will be available to provide assistance.
The unit emphasises a 'hands-on' approach to learning via the illustration of new concepts through worked examples and demonstrations. The concepts introduced are presented in business scenarios. You will work on the case studies in the tutorials. You are encouraged to work within your assignment groups.
Feedback on Learning and Assessment
The two assignments will be based on the material covered in the lectures and tutorials. The related tasks will be discussed during these contact hours. This will provide you with a deeper understanding of the nature of the tasks. Selected supporting resources will be provided on the unit homepage. A marking guide will be available for the two assignments. A detailed marking of assignments will provide you with comprehensive feedback.
Teaching staff are available during the tutorials and consultation hours to clarify or elaborate on the assignment content and provide constructive feedback.
For the final exam you will be referred to the Faculty's formal 'Review of exam' procedures.
Assessment
Overview
The assessment in this unit has been designed to provide you with a scaffolded learning experience.
Written assessments will be submitted to the Assignment minder at the set deadlines. Additional support for all assessment will be provided throughout the semester.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Case study
You will be provided with a realistic and detailed case study that you have to analyse following methods and techniques that will be taught in the first weeks of the semester. You will submit a detailed process analysis report (including as-is process maps) and have to be prepared to present your results in the classroom. You will get comprehensive feedback.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Case Study
You will continue work from Assessment 1. You will select and design a specific phased out solution for an improved process which includes the to-be models and related soft and technical implementation plans.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Exam
Final written exam
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Resources
Dumas, Marlon, La Rosa, Marcello, Mendling, Jan, and Reijers, Hajo A (2018) “Fundamentals of business process management” ISBN 978-3-662-56508-7
Risk Assessment Statement
There are no unusual health or safety risks associated with this unit.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EN75 Master of Sustainable Infrastructure with Data Analytics
- Demonstrate and apply advanced and specialist discipline knowledge, concepts, methods and practices as they relate to contemporary practice in Sustainable Infrastructure and Data Analytics domains
Relates to: Case Study, Exam - Analyse and evaluate problems in Sustainable Infrastructure and Data Analytics domains using technical approaches informed by contemporary practice and leading-edge research to achieve evidence based, innovative, critically informed solutions and outcomes
Relates to: Case study, Case Study, Exam - Apply innovative, systematic approaches to plan, design, deliver and manage projects in Sustainable Infrastructure and Data Analytics domains in a way that assures sustainable outcomes and strategic objectives over their whole lifecycle
Relates to: Case Study - Effectively communicate problems in Sustainable Infrastructure and Data Analytics domains, related complex data and information, and solutions in contemporary professional formats for diverse purposes and audiences
Relates to: Case study, Case Study
EN76 Master of Renewable Energy with Data Analytics
- Demonstrate and apply advanced and specialist discipline knowledge, concepts, methods and practices as they relate to contemporary practice in Renewable Energy and Data Analytics domains
Relates to: Case Study, Exam - Analyse and evaluate problems in Renewable Energy and Data Analytics domains using technical approaches informed by contemporary practice and leading-edge research to achieve evidence based, innovative, critically informed solutions and outcomes
Relates to: Case study, Case Study, Exam - Apply innovative, systematic approaches to plan, design, deliver and manage projects in Renewable Energy and Data Analytics domains in a way that assures sustainable outcomes and strategic objectives over their whole lifecycle
Relates to: Case Study - Effectively communicate problems in Renewable Energy and Data Analytics domains, related complex data and information, and solutions in contemporary professional formats for diverse purposes and audiences
Relates to: Case study, Case Study
EN77 Master of Advanced Manufacturing with Data Analytics
- Demonstrate and apply advanced and specialist theory-based discipline knowledge, concepts, methods and practices as they relate to contemporary practice in Advanced Manufacturing and Data Analytics domains
Relates to: Case Study, Exam - Employ advanced specialist technical skills, analysis approaches, design, and data to the solution of problems in Advanced Manufacturing and Data Analytics domains, critically evaluating solutions and practice-informed performance to deliver whole of life requirements and strategic objectives
Relates to: Case study, Case Study, Exam - Develop and employ professional leadership skills and management frameworks to deliver projects, lead teams, and enact change in Advanced Manufacturing and Data Analytics domains
Relates to: Case Study - Implement professional communication and collaborative skills while engaging with stakeholders, exchanging ideas, and presenting complex information to specialist and non-specialist audiences in Advanced Manufacturing and Data Analytics domains
Relates to: Case study, Case Study