APP MTH 7049 - Applied Mathematics Topic D
North Terrace Campus - Semester 2 - 2016
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General Course Information
Course Details
Course Code APP MTH 7049 Course Applied Mathematics Topic D Coordinating Unit Mathematical Sciences Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Available for Study Abroad and Exchange Y Assessment ongoing assessment 30%, exam 70% Course Staff
Course Coordinator: Dr Edward Green
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
In 2016, the topic of this course is PRACTICAL APPLIED MATHEMATICS.
Syllabus
Mathematical modelling has been described as an `unreasonably effective' tool for helping us to understand our world. It has given us new insights into problems from physics, engineering, economics, biology, and many other areas. But the real world is a complicated, and little is gained if a mathematician simply converts an intractable practical problem into an equally intractable mathematical one. Approximations are therefore necessary to enable us to analyse simplified versions of the problem, and gain real understanding. They can be introduced both in the formulation phase, where the model is developed (usually as a set of differential equations derived on some physical principle such as conservation of mass) and the solution phase, where the behaviour of the solution of the model is investigated. The aim of this course is to provide students with a `toolbox' of useful techniques, which will equip them to tackle real world problems in their future careers, whether in industry or academic research. Topics discussed will include: similarity solutions, travelling wave solutions, asymptotic and perturbation methods, and stability of solutions. The techniques will be illustrated by several case studies.
Assumed knowledge for the course is some form of multivariable calculus, Modelling with ODEs III and PDEs and Waves III.
Learning Outcomes
On successful completion of this course, students will be able to:
1. develop ODE and PDE models of real world problems using principles such as conservation of mass or momentum;
2. understand the concept of a similarity solution, and be able to find such solutions for the diffusion equation and similar problems;
3. understand the concept of a travelling wave solution, and be able to find such solutions for Fisher's equation and similar problems;
4. understand the concept and properties of an asymptotic expansion;
5. apply asymptotic and perturbation methods to calculate solutions to ODE and PDE problems involving small parameters;
6. determine the stability of a solution of a PDE problem.最新糖心Vlog Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
最新糖心Vlog Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
all Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
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Learning Resources
Required Resources
None.Recommended Resources
There are many excellent books on mathematical modelling and analytical methods for ODEs and PDEs in the Barr Smith library. The following is a short selection of some that are very compatible with the objectives and the level of this course:
1. T. Witelski and M. Bowen: Methods of Mathematical Modelling (online book)
2. S. Howison: Practical Applied Mathematics
3. E. J. Hinch: Perturbation Methods
4. J. D. Murray: Asymptotic AnalysisOnline Learning
The course will have an active MyUni website. -
Learning & Teaching Activities
Learning & Teaching Modes
The lecturer guides the students through the course material in 30 lectures. Students are expected to engage with the material in the lectures. Interaction with the lecturer and discussion of any difficulties that arise during the lecture is encouraged. Fortnightly homework assignments help students strengthen their understanding of the theory and their skills in applying it, and allow them to gauge their progress.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Quantity Workload hours Lectures 30 100 Assignments 5 56 Total 156
Learning Activities Summary
1. Philosophy of mathematical modelling, review of simple conservation laws (lectures 1-3);
2. Similarity solutions (lectures 4-9);
3. Travelling wave solutions (lectures 10-13);
4. Introduction to perturbatrion methods: Asymptotic expansions and their properties (lectures 14-16);
5. Regular and singular perturbation problems, boundary layers (lectures 17-22);
6. Slender approximations (lectures 23-25);
7. Stability analysis for reaction-diffusion problems (lectures 26-30);
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Assessment
The 最新糖心Vlog's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
Assessment task Task type Due Weighting Learning outcomes Assignments Formative and summative Weeks 3, 5, 7, 9, 11 30% All Exam Summative Exam period 70% All Assessment Related Requirements
An aggregate score of 50% is required to pass the course.Assessment Detail
There will be a total of 5 homework assignments, distributed during each even week of the semester and due at the end of the following week. Each will cover material from the lectures, and in addition, will sometimes go beyond that so that students may have to undertake some additional research.Submission
Homework assignments must be given to the lecturer in person or emailed as a pdf. Failure to meet the deadline without reasonable and verifiable excuse may result in a significant penalty for that assignment.Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through .
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Student Feedback
The 最新糖心Vlog places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the 最新糖心Vlog to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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