Course coordinator
Yao-Zhong Zhang is the lecturer for the second part (i.e. the PDEs part) of the course. Please contact Yao-Zhong Zhang for questions related to lecture material, tutorials and assignments of the second (PDEs) part of the course.
ODE's - Systems: variation of constants, fundamental matrix. Laplace transform, transform for systems, transfer function. Stability, asymptotic stability; phase-lane analysis. PDE's - Fourier series. Wave, heat, Laplace's equations. Simple maximum & uniqueness principles. Separation of variables in rectangular & polar coordinates.
This course will cover the following 4 topics.
In the School of Mathematics and Physics we are committed to creating an inclusive and empowering learning environment for all students. We value and respect the diverse range of experiences our students bring to their education, and we believe that this diversity is crucial for fostering a rich culture of knowledge sharing and meaningful exploration. We hold both students and staff accountable for actively contributing to the establishment of a respectful and supportive learning environment.
Bullying, harassment, and discrimination in any form are strictly against our principles and against UQ Policy, and will not be tolerated. We have developed a suite of resources to assist you in recognising, reporting, and addressing such behaviour. If you have any concerns about your experience in this course, we encourage you to tell a member of the course teaching team, or alternatively contact an SMP Classroom Inclusivity Champion (see Blackboard for contact details). Our Inclusivity Champions are here to listen, to understand your concerns, and to explore potential actions that can be taken to resolve them. Your well-being and a positive learning atmosphere are of utmost importance to us.
This course will build on foundations that you have obtained in earlier courses: differential and integral calculus, linear algebra, vector analysis,ᅠ and especially differential equations.ᅠ It is your responsibility to fill in any gaps in the assumed knowledge.ᅠ You may need to undertake background reading to understand the lecture material.ᅠᅠ Chaptersᅠ1, 2, 7, 8, 9ᅠand 10 of the set textᅠ (E. Kreyszig, Advanced Engineering Mathematicsᅠ, 9th Edition) cover most of the background material.ᅠ ᅠ
You'll need to complete the following courses before enrolling in this one:
MATH1052 or MATH1072
We recommend completing the following courses at the same time:
MATH2001 or MATH2901
You can't enrol in this course if you've already completed the following:
MATH2010 + MATH2011
Yao-Zhong Zhang is the lecturer for the second part (i.e. the PDEs part) of the course. Please contact Yao-Zhong Zhang for questions related to lecture material, tutorials and assignments of the second (PDEs) part of the course.
The timetable for this course is available on the UQ Public Timetable.
All classes will be conducted on campus – consult your personal timetable for times and locations. Students are expected to attend these sessions in person unless they have a valid reason for being unable to attend (such as illness).
Important: if you are ill, then do not attend any classes in person. Alternative arrangements can be organised – consult Blackboard for details.
The lectures are taught during weeks 1-13:ᅠThe first part of the course on ODEs is taught during weeks 1-6. The second part on PDEs is taught during weeks 7-13. Applied Classes are taught in weeks 2-13.
There are no Applied Classes in week 1.ᅠNote:ᅠWednesday 13ᅠAugust and Monday 6ᅠOctober are public holidays. There will be no classes on these days. If you have an applied class on one of these days, you may attend any of the other applied class groups for that week only.
This course is built around the four mathematical notions: Systems of ordinary differential equations (ODEs); Laplace transforms; Fourier series; and Partial Differential Equations (PDEs). Students will be introduced to a number of new concepts and methods, and will be presented with theory and examples. Students with interests in the applications of mathematics to the real world, or with the development of the tools needed for such applications, will need a good understanding of the basic ideas introduced here. This includes those interested in research careers in theoretical physics, engineering, applied mathematics, pure mathematics (analysis), and numerical analysis
Category | Assessment task | Weight | Due date |
---|---|---|---|
Tutorial/ Problem Set | 4 Assignments | 40% |
Assignment 1: 18/08/2025 1:00 pm Assignment 2: 8/09/2025 1:00 pm Assignment 3: 7/10/2025 1:00 pm Assignment 4: 27/10/2025 1:00 pm |
Examination |
Final Examination
|
60% |
End of Semester Exam Period 8/11/2025 - 22/11/2025 |
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.
Assignment 1: 18/08/2025 1:00 pm
Assignment 2: 8/09/2025 1:00 pm
Assignment 3: 7/10/2025 1:00 pm
Assignment 4: 27/10/2025 1:00 pm
Assignments will comprise problems based on material presented in lectures and applied classes. Each assignment is equally weighted.
All assessment items should be submitted electronically through Blackboard.
You may be able to apply for an extension.
Solutions for assessment item/s will be released 7 days after the assessment is due and as such, an extension after 7 days will not be possible.
See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.
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.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then the listed penalty will be deducted per day for up to 7 calendar days, at which point any submission will not receive any marks unless an extension has been approved. Each 24-hour block is recorded from the time the submission is due.
End of Semester Exam Period
8/11/2025 - 22/11/2025
The final examination in this course will be held during the end-of-semester examination period. It will be an in-person exam held on campus.
Planning time | 10 minutes |
---|---|
Duration | 120 minutes |
Calculator options | No calculators permitted |
Open/closed book | Closed book examination - no written materials permitted |
Exam platform | Paper based |
Invigilation | Invigilated in person |
You may be able to defer this exam.
See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.
Full criteria for each grade is available in the Assessment Procedure.
Grade | Description |
---|---|
1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: The student demonstrates very little understanding of the theory of the topics listed in the syllabus and very little ability to apply the associated techniques to solve problems. Overall score below 20%. |
2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: The student demonstrates little understanding of the theory of the topics listed in the syllabus and little ability to apply the associated techniques to solve problems. Overall score of at least 20%, which does not meet the requirements for a higher grade. |
3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: The student demonstrates only limited understanding of the theory of the topics listed in the syllabus and limited ability to apply the associated techniques to solve straightforward problems. Overall score of at least 45% and at least 38% of the marks for the final exam, which does not meet the requirements for a higher grade. |
4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The student must satisfy the basic learning requirements for the course, such as understanding of the fundamental concepts and performance of basic skills. They must demonstrate knowledge of techniques used to solve problems. Overall score of at least 50% and at least 40% of the marks for the final exam, which does not meet the requirements for a higher grade. |
5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The student must demonstrate a good understanding of the course material and an ability to apply techniques to successfully solve problems, using fundamental concepts and skills of the course. Overall score of at least 65%, which does not meet the requirements for a higher grade. |
6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: The student must demonstrate a comprehensive understanding of the course material and be proficient in applying techniques to solve problems. Overall score of at least 75%, which does not meet the requirements for a higher grade. |
7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: The student must demonstrate an excellent understanding of the course material, and be highly proficient in applying appropriate techniques to accurately solve problems. Overall score of at least 85%. |
Supplementary assessment is available for this course.
Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to my.UQ for information on supplementary assessment and how to apply.
Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.
If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.
Supplementary assessment in this course will be a 2-hour examination similar in style to the end-of-semester examination. To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment.
Important note
Casual academics will record your assignment marks on Blackboard. It is your responsibility to check that the mark is correctly recorded. No discussion about incorrect or missing assignment marks will be entertained 21 calendar days after marks are released.
Artificial Intelligence
To pass this course, students will be required to demonstrate a detailed understanding of course material together with a range of associated skills independent of Artificial Intelligence (AI) and Machine Translation (MT) tools.
For assessment tasks that are completed in-person (including examinations) termed “secure assessment”, the use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted unless otherwise advised. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Other non-secure assessment tasks (such as assignments) are designed to help you develop your understanding and skills, and to prepare you for secure assessment. You are thus generally encouraged to complete such assessment without the use of AI/MT, unless explicitly advised to the contrary in the assessment item. In any event, if you choose to use such tools, then you must clearly reference any such use within your submitted work. A failure to reference AI or MT use may constitute student misconduct under the Student Code of Conduct.
Applications for Extensions to Assessment Due Dates
Extension requests are submitted online via my.UQ – applying for an extension. Extension requests received in any other way will not be approved. Additional details associated with extension requests, including acceptable and unacceptable reasons, may be found at my.UQ.
Please note:
Applications to defer an exam
In certain circumstances you can apply to take a deferred examination for in-semester and end-of-semester exams. You'll need to demonstrate through supporting documentation how unavoidable circumstances prevented you from sitting your exam. If you can’t, you can apply for a one-off discretionary deferred exam.
Deferred Exam requests are submitted online via mySi-net. Requests received in any other way will not be approved. Additional details associated with deferred examinations, including acceptable and unacceptable reasons may be found at my.UQ.
Please note:
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.
Find the required and recommended resources for this course on the UQ Library website.
If we've listed something under further requirement, you'll need to provide your own.
Item | Description | Further Requirement |
---|---|---|
MATH2010 Course Workbook | This is the workbook for the first (ODEs) part of the course. It is available as a PDF from the course Blackboard page and is also available as a hard copy from UQ Print. The workbook covers all the lecture material presented throughout the semester. Students should bring this document to all lectures. | own item needed |
MATH2011 Course Workbook | This is the workbook for the second (PDEs) part of the course. It is available as a PDF from the course Blackboard page and is also available as a hard copy from UQ Print. The workbook covers all the lecture material presented throughout the semester. Students should bring this document to all lectures. | own item needed |
A different workbook will be used for each part of the course. They will be both available from blackboard.
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Learning period | Activity type | Topic |
---|---|---|
Multiple weeks From Week 1 To Week 6 |
Lecture |
ODEs and Laplace transform 3 lectures per week. Lectures will be on-campus. Learning outcomes: L01, L02, L03, L04, L05 |
Multiple weeks From Week 2 To Week 13 |
Applied Class |
Problem Solving One Applied Class per week (from Week 2), in which a casual academic demonstrates solutions of selected problems and is available to answer questions about the problem sheets and assignment problems. Students work on solving problems and understanding course material and are able to ask questions. Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 |
Multiple weeks From Week 7 To Week 13 |
Lecture |
Fourier Series and PDEs 3 lectures per week. Lectures will be on-campus. Learning outcomes: L06, L07, L08 |
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.