APP MTH 7088 - Applied Mathematics Topic F
North Terrace Campus - Semester 2 - 2016
The course information on this page is being finalised for 2016. Please check again before classes commence.
General Course Information
Course Code APP MTH 7088 Course Applied Mathematics Topic F Coordinating Unit School of Mathematical Sciences Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Available for Study Abroad and Exchange Y Course Description Please contact the School of Mathematical Sciences for further details, or view course information on the School of Mathematical Sciences web site at http://www.maths.adelaide.edu.au
Course Coordinator: Dr David Green
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesIn 2015, the topic of this course is Applied Methods in Biology and Engineering.
The goal for this class is for students to develop a fundamental understanding of how mathematics is applied as a tool to aid in studying complex systems in biological and engineering sciences. We will thoroughly investigate case studies in several fields including: Neuron Action Potential Propagation, Cardiac dynamics, Tumor/cancer growth and Pattern formation. Graded work will include a mix of theoretical and computational homework, culminating in a final exam.
Practically speaking, this class is designed for advanced undergraduate, honours, MPhil and beginning PhD students in the mathematical, physical, and biological sciences with a solid mathematical background, i.e., Linear Algebra and Differential Equations. The course prerequisite (which can be waived with instructor approval) is Modelling with Ordinary Differential Equations (APP MTH 3021) and may be taken simultaneously with this course. Also note that familiarity with MATLAB or other programming language is assumed (prerequisites include classes which use MATLAB). The list of mathematical tools and methods that we will learn in this course include:
1) Matched asymptotics, multi-scale modeling: This method will be taught via Michaelis-Menton kinetics, Fitzhugh-Nagumo and Hodgkin-Huxley models.
2) Solving moving boundary problems, traveling wave solutions: This method will be introduced while solving advection-diffusion-reaction equations for tumor growth, pattern formation and the Fisher’s equation.
On successful completion of this course, students will be able to:
1) understand modelling of chemical reactions involving multiple time-scales
2) develop regular as well as singular perturbation formulation for these models
3) understand the concept of non-dimensionalization which distinguishes various time-scales
4) analyse theory of motion, directed motion or taxis, diffusion, steady-state solutions
5) develop and solve traveling wave solutions to reaction-diffusion systems, Fisher’s equation
6) understand pattern formation, Turing instabilities and bifurcations
7) analyse pattern activation and inhibition coupled with biological motion
University Graduate Attributes
No information currently available.
 James Keener and James Sneyd, Mathematical Physiology I: Cellular Physiology, 2nd edition, Springer, 2009.
 N. Britton, Essential Mathematical Biology, Springer, 2005.
 L. Edelstein-Keshet, Mathematical models in biology, SIAM, 2005.
 J. D. Murray, Mathematical Biology, Springer-Verlag, New York, 2nd edition, 1993.
Online LearningMyUni will be used to provide electronic resources, such as lecture notes, assignment papers, sample solutions, discussion boards, etc. It is recommended that the students make appropriate use of these resources.
Learning & Teaching Activities
Learning & Teaching ModesThe 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.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Lectures (x30) = 90 workload hours
Assignments (x6) = 60 workload hours
Test = 6 workload hours
Total = 156 workload hours
Learning Activities Summary1) Introduction to biochemical kinetics
2) Non-dimentionalization, time-scale analysis, regular and singular perturbation, matched asymptotics
3) Theory of motion, directed motion, diffusion
4) Traveling wave solution, Fisher's equation
5) Pattern formation, Turing instability
6) Solutions at steady-state for non-linear PDEs
Specific Course RequirementsCourse prerequisite: Modelling with Ordinary Differential Equations (APP MTH 3021).
The University'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 SummaryAssessment: Assignments
Due: Even weeks
Learning outcomes: All
Due: Examination period
Learning outcomes: All
Assessment Related RequirementsAn aggregate score of 50% is required to pass the course.
Assessment DetailThere will be a total of 6 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. The 6 assignments will constitute 30% of the final grade.
SubmissionHomework assignments must either be given to the lecturer in person or left in the box outside the lecturer's office by the given due time. Failure to meet the deadline without reasonable and verifiable excuse may result in a significant penalty for that assignment.
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 Access Adelaide.
The University 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 University 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.
- Academic Support with Maths
- Academic Support with writing and speaking skills
- Student Life Counselling Support - Personal counselling for issues affecting study
- International Student Support
- AUU Student Care - Advocacy, confidential counselling, welfare support and advice
- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
- LinkedIn Learning
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Elder Conservatorium of Music Noise Management Plan
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.
The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.