Course overview
- Study period
- Semester 1, 2025 (24/02/2025 - 21/06/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Mech & Mine Engineering School
In this course students will be introduced to the strong interactions between manufacturing and engineering design processes. The course builds on the engineering problem solving activities of ENGG1200 and continues to explore the roles of computational modelling in design and materials behaviour in manufacturing. Students will learn that the design process involves the creation and prescription of the shape and characteristics of a product or machine within manufacturing and material performance constraints. Common and emerging manufacturing processes will be introduced. Professional engineers working in both engineering design and manufacturing will deliver guest lectures into the course in order to locate key concepts within real world contexts. Students will engage in a number of Computer Aided Design and Manufacturing exercises including CNC machining of components. Students will also be introduced to the role of process simulation and modelling in manufacturing. The primary technical learning outcomes will be addressed through a combination of learning strategies including online resources, traditional lectures, and active learning CAD exercises.
MECH2305 seeks to provide students with opportunities to develop knowledge of design and manufacturing processes along with practical skills in computer aided design and manufacturing and advanced problem solving capability. These are all things that industry values in graduate engineers.
MECH2305 integrates online learning and active learning strategies with more traditional learning approaches. The course also includes practical CAD/CAM activities.ﾠThe computer aided design exercises will be supported by both online content and tutorial sessions. Guest lectures by industry practitioners and active researchers will be an important part of the course.ﾠ
Course requirements
Assumed background
MECH2305 builds on what has been learnedﾠin first year. We expect that you will be self-directed in your learning. The materials and manufacturing aspects of the course also have a strong connection with MECH2300.
Prerequisites
You'll need to complete the following courses before enrolling in this one:
ENGG1200 or ENGG1211 or ENGG1700
Course contact
Course staff
Lecturer
Dr Dan Yuan
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
Introduction to Engineering Design and Manufacturingﾠ seeks to continue to build on the learning experiences that students obtained in first year courses. In this course students will be introduced to computer aided design and manufacturing. Students will learn that the design process involves the creation and prescription of the shape and characteristics of a product or machine within manufacturing and material performance constraints. Common and emerging manufacturing processes will be introduced. The primary technical learning outcomes will be addressed through a combination of learning strategies including online resources, traditional lectures, active learning CAD/CAM activities and a project based learning assignment.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Understand principles of engineering design - Demonstrate an understanding of the engineering design process and the role of engineering standards in graphical communication.
LO2.
Apply computer aided engineering design tools - Become proficient at using various basic functions of CAD software.
LO3.
Apply computer aided engineering design tools - Use CAD software to create a solid model of a machine component
LO4.
Apply computer aided engineering design tools - Assemble parts for a machine component using CAD software.
LO5.
Apply computer aided engineering design tools - Generate 2D Engineering Drawings of a machine component using CAD software.
LO6.
Apply computer aided engineering design tools - Design a functioning Rim Wheel using CAD software.
LO7.
Solve engineering problems - Solve engineering problems using a logical, transparent framework.
LO8.
Solve engineering problems - Apply an understanding of materials and design requirements to justifiably select specific manufacturing processes for a machine part.
LO9.
Solve engineering problems - Specify appropriate methods for checking that a machine part complies with the design tolerance using common engineering metrology techniques.
LO10.
Solve engineering problems - Determine the manufacturing process of a machine part using reverse engineering principles.
LO11.
Apply modelling techniques to engineering problems - Demonstrate understanding of the role of modelling and simulation in manufacturing
LO12.
Apply modelling techniques to engineering problems - Use CAD Software to simulate stresses on a Rim Wheel.
LO13.
Apply modelling techniques to engineering problems - Program a tool path and validate using CAM software.
LO14.
Develop design thinking and reflective practice - Plan and implement strategies for effective design of engineering solutions.
LO15.
Develop design thinking and reflective practice - Learn the different methods for dimension and geometric tolerances.
LO16.
Develop design thinking and reflective practice - Understand the differences between clearance, transition and interference fits and be able to provide dimensional tolerances based on type of fit specified for a given component.
LO17.
Develop design thinking and reflective practice - Use knowledge of a machine's functional design to select tolerances and fits for assemblies and provide justified engineering solutions for selecting fits and tolerances on mating parts.
LO18.
Develop design thinking and reflective practice - Interpret dimensional and geometric tolerances on engineering drawings.
LO19.
Understand manufacturing processes - Develop a deep understanding of a wide range of manufacturing processes including casting, forging, rolling, extrusion, machining, joining, powder metallurgy and 3D printing, as well as understand different treatments available to improve design functionality.
LO20.
Understand manufacturing processes - Understand how material properties are influenced by manufacturing processes.
LO21.
Understand manufacturing processes - Select and justify appropriate manufacturing processes in order to meet design requirements for a range of materials including metals, polymers and ceramics.
LO22.
Understand manufacturing processes - Understand the steps required to manufacture a component using a CNC Milling Machine.
LO23.
Develop skills in effective communication - Develop coherence (through well-structured arguments) and rationale (through providing evidence of claims) in writing; increase knowledge and mastery of appropriate graphics, data manipulation, and word processing software.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Examination | In-semester Exam | 20% |
In-semester Saturday 29/03/2025 - 12/04/2025
Please refer to your personal exam timetable on my.UQ. |
| Paper/ Report/ Annotation | CAD Assessment Series | 25% |
Part 1- 5% 31/03/2025 1:00 pm Part 2 - 20% 12/05/2025 1:00 pm |
| Paper/ Report/ Annotation, Practical/ Demonstration | CAM Continuing Assessment | 5% |
26/05/2025 1:00 pm |
| Examination |
Final Exam
|
50% |
End of Semester Exam Period 7/06/2025 - 21/06/2025
Please refer to your personal exam timetable on my.UQ. |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
In-semester Exam
- Mode
- Written
- Category
- Examination
- Weight
- 20%
- Due date
In-semester Saturday
29/03/2025 - 12/04/2025
Please refer to your personal exam timetable on my.UQ.
- Learning outcomes
- L01, L07, L08, L10, L14, L19, L20, L21
Task description
This exam will assess material covered during the lectures up until this time, as well as associated content from the textbook and online resources.
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 | 60 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.
CAD Assessment Series
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 25%
- Due date
Part 1- 5% 31/03/2025 1:00 pm
Part 2 - 20% 12/05/2025 1:00 pm
- Learning outcomes
- L01, L02, L03, L04, L05, L06, L07, L11, L12, L23
Task description
Students will complete a two part CAD assessment series where they will first learn and then apply CAD principles.
In Part 1 (worth 5% of course), which will run from Week 1 to Week 5, students will be guided through fundamental training on CAD software to generate solid models and assemblies. Students will be required to submit their completed introductory exercise before 1.00 pm on Monday in Week 6 (the criteria sheet for this assessment is available on blackboard). The fundamental skills required for completion of this assessment will be introduced in the first active learning Computer Aided Design (CAD) tutorial (ICT) session. Students will have opportunities to familiarise themselves with these basic skills and seek the help of peers and course staff during the computer laboratory sessions. A single individual online submission of the completed CAD exercise will be required for assessment.
In Part 2 (worth 20% of course), which will run from Week 6 to Week 10, students will apply the skills they have learned in Part 1 to individually design a rim wheel which complies with industry standards. Students will use CAD software to model and analyse their design. Students will be required to compile a report to analyse and justify their design choices. The report and rim wheel design model files will be required for submission due 1.00 pm on Monday in Week 11.
Students will attend computer tutorial sessions (ICT sessions) in scheduled weeks during the semester where they can seek the help of course staff and engage in active learning.
This task has been designed to be challenging, authentic and complex. Whilst students may use AI and/or MT technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of AI and MT tools.
Please refer to Blackboard for a detailed marking criteria.
Submission guidelines
Specific submission instructions will be provided at the release of the assessment.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 14 days. Extensions are given in multiples of 24 hours.
To facilitate timely feedback to students.
A Student Access Plan (SAP) can only be used for a first extension. Extensions based on an SAP may be granted for up to seven (7) days, or the maximum number of days specified in the Electronic Course Profile (ECP), if it is less than seven (7) days. Any further extensions will require additional supporting documentation, such as a medical certificate.
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.
CAM Continuing Assessment
- Mode
- Activity/ Performance, Written
- Category
- Paper/ Report/ Annotation, Practical/ Demonstration
- Weight
- 5%
- Due date
26/05/2025 1:00 pm
- Learning outcomes
- L11, L13, L22
Task description
Students will be required to attend computer tutorial sessions (ICT sessions) in Week 11 and 12, where they will engage in an active learning Manufacturing exercises involving the tool-path generation for the CNC machining of a component. In these sessions, students will work with course staff to first complete the introductory CAM software training and applying these skills in the design of the CNC toolpaths. Senior staff will review each student’s submission for satisfactory completion of the tool path for CNC machining. Students will be required to attend a CNC practical session to operate a CNC milling machine to manufacture a component.
Details about important assessment items and dates will be provided at the release of the assessment.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Please refer to Blackboard for a detailed marking criteria.
Submission guidelines
Specific submission instructions will be provided at the release of the assessment.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 14 days. Extensions are given in multiples of 24 hours.
To facilitate timely feedback to students.
A Student Access Plan (SAP) can only be used for a first extension. Extensions based on an SAP may be granted for up to seven (7) days, or the maximum number of days specified in the Electronic Course Profile (ECP), if it is less than seven (7) days. Any further extensions will require additional supporting documentation, such as a medical certificate.
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
- Hurdle
- Identity Verified
- Mode
- Written
- Category
- Examination
- Weight
- 50%
- Due date
End of Semester Exam Period
7/06/2025 - 21/06/2025
Please refer to your personal exam timetable on my.UQ.
- Learning outcomes
- L01, L07, L08, L09, L10, L14, L15, L16, L17, L18
Task description
This will be an exam on manufacturing operations and material covered during the lectures as well as associated content from the text book and online resources.
Format: Multiple-choice, Short answer, Short essay.
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.
Hurdle requirements
A minimum achievement of 40% in the Final Exam is required to receive a passing grade for the course.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) | 0.00 - 29.99 |
Absence of evidence of achievement of course learning outcomes. Course grade description: Some engagement with the assessment tasks; however no demonstrated evidence of understanding of the concepts in the field of study |
| 2 (Fail) | 30.00 - 44.99 |
Minimal evidence of achievement of course learning outcomes. Course grade description: Deficiencies in understanding the fundamental concepts of the field of study Inability to identify data, cases, problems and their solutions, and implications Presents inappropriate or unsupported arguments Inability to apply knowledge and skills Communicates information or ideas in ways that are frequently incomplete, confusing and not appropriate to the conventions of the discipline |
| 3 (Marginal Fail) | 45.00 - 49.99 |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: Superficial understanding of the fundamental concepts of the field of study Attempts to identify data, cases, problems and their solutions, and implications Presents undeveloped arguments Emerging ability to apply knowledge and skills Communicates information or ideas with limited clarity and inconsistent adherence to the conventions of the discipline |
| 4 (Pass) | 50.00 - 64.99 |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: Adequate knowledge of fundamental concepts of the field of study Identifies data, cases, problems and their solutions, and implications Develops routine arguments or decisions Acceptable application of knowledge and skills Uses some of the conventions of the discipline to communicate appropriately A minimum achievement of 40% in the Final Exam is required to receive a passing grade for the course. |
| 5 (Credit) | 65.00 - 74.99 |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: Good knowledge of fundamental concepts of the field of study Considered evaluation of data, cases, problems and their solutions, and implications Develops or adapts convincing arguments and provides coherent justification Effective application of knowledge and skills Uses the conventions of the discipline to communicate at an effective level A minimum achievement of 40% in the Final Exam is required to receive a passing grade for the course. |
| 6 (Distinction) | 75.00 - 84.99 |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: Substantial knowledge of fundamental concepts of the field of study Critical evaluation of data, cases, problems and their solutions, and implications Perceptive insights in identifying, generating and synthesising competing arguments or perspectives Extensive application of knowledge and skills Uses the conventions of the discipline to communicate at a professional level A minimum achievement of 40% in the Final Exam is required to receive a passing grade for the course. |
| 7 (High Distinction) | 85.00 - 100.00 |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: Mastery of content Expert and critical evaluation of data, cases, problems and their solutions, and implications Significant and sophisticated insights in identifying, generating and synthesising competing arguments or perspectives Original, novel and/or creative application of knowledge and skills Exploits the conventions of the discipline to communicate at an expert level A minimum achievement of 40% in the Final Exam is required to receive a passing grade for the course. |
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Assessment items submitted using the Turnitin link on the course Blackboard site, will check your work for evidence of plagiarism, collusion, and other forms of academic misconduct.
A failure to reference AI use may constitute student misconduct under the Student Code of Conduct.
ﾠ
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
Please see Blackboard to download Lecture Notes before each lecture.
Laboratory access
Students must have completed the Student Laboratory Safety Induction, Annual Fire Safety Training and Health Safety and Wellness (HSW) to a specific laboratory induction, all accessed via Blackboard.
If you require access for experimental work, then register for an induction by searching for that laboratory at the following link:
https://student.eait.uq.edu.au/urite/
Additional requirements to be inducted into each laboratory will be listed on that link.
Students can also check their HSW training card here:
https://student.eait.uq.edu.au/safe
Access to laboratories will be granted after all of the specific laboratory requirements have been met.
If you have any enquiries regarding HSW please contact the School’s Technical Services Team on labsupport@mechmining.uq.edu.au
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Multiple weeks From Week 1 To Week 13 |
Not Timetabled |
On-line Modules Students work in their own time through manufacturing exercises and examples accessed through Blackboard. Learning outcomes: L15, L16, L17, L18, L19, L20 |
Lecture |
Live Lecture Weekly live lecture sessions will be scheduled throughout the semester. Students will have the opportunity to ask questions on the discussion board on Blackboard, during the live lecture sessions, and by other means of remote communication with course staff if necessary (e.g. Zoom meeting, telephone, email or face to face meetings). Learning outcomes: L01, L07, L08, L09, L10, L14, L15, L16, L17, L18, L19, L20, L21 |
|
Information technology session |
CAD and CAM Sessions Students will be required to attend computer laboratory sessions throughout semester where they will engage in a number of active learning Computer Aided Design and Manufacturing exercises. In these sessions students will work with each other and course staff to first complete the introductory software training including applying these CAD skills in the production of simple models and assemblies through a series of practical tasks. Senior staff will review each studentﾒs performance on these practical tasks at key assessment milestones throughout the semester and award marks for satisfactory completion of tasks in the areas of 2D and 3D modelling, assembly and tool path generation for CNC machining. The CAD sessions are an adjunct to lecture demonstrations of software use and provide a hands-on active learning experience. Details about the assessment items and due dates will be announced in the Week 1 lectures. Students are required to attend a CNC practical session to operate a CNC milling machine to manufacture a component. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L11, L12, L13, L23 |
|
Multiple weeks From Week 12 To Week 13 |
Practical |
CNC Practical Session Students are required to attend a CNC practical session to operate a CNC milling machine to manufacture a component. Learning outcomes: L22, L23 |
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:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.