APP MTH 4048 - Applied Mathematics Topic C - Honours

North Terrace Campus - Semester 1 - 2017

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

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Course Details

Course Code	APP MTH 4048
Course	Applied Mathematics Topic C - Honours
Coordinating Unit	Mathematical Sciences
Term	Semester 1
Level	Undergraduate
Location/s	North Terrace Campus
Units	3
Contact	Up to 2.5 hours per week
Available for Study Abroad and Exchange	Y
Restrictions	May only be presented towards some Engineering Programs
Assessment	Ongoing assessment 30%, exam 70%

Course Staff

Course Coordinator: Dr Andrew Smith

This is the same course as APP MTH 7044 - Applied Mathematics Topic C

Course Timetable

The full timetable of all activities for this course can be accessed from .

Course Learning Outcomes

In 2017, the topic of this course will be Stochastic Processes for Population and Epidemic Modelling.

Synopsis

Randomness is an important factor in modelling and analyzing various real-life situations. In particular, stochastic (random) models can be used to make better informed decisions about changes in populations and epidemics. This course covers some key theory in the modelling of (meta)populations and epidemics, such as ODEs, discrete and continuous time Markov chains (DTMC and CTMC) and functional laws of large numbers.

Learning Outcomes

On successful completion of this course, students will be able to
1. explain the basic model 最新糖心Vlog used in population and epidemic
2. develop both ODE and CTMC models of population, as well as infectious disease, dynamics
3. analytically derive stationary distributions for CTMCs of particular forms
4. numerically evaluate the distribution of the state of the CTMC models given initial conditions
5. gain a better appreciation for, and derive, the deterministic approximations to CTMCs
6. a general appreciation of path integral methods for CTMCs
7. present analyses and intepretations in written form

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	all
Teamwork and communication skills developed from, with, and via the SGDE honed through assessment and practice throughout the program of studies encouraged and valued in all aspects of learning	7
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	4,7
Self-awareness and emotional intelligence a capacity for self-reflection and a willingness to engage in self-appraisal open to objective and constructive feedback from supervisors and peers able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate	all

Learning & Teaching Modes

This course relies on lectures as the primary delivery mechanism for the material. Three written assignments will help students to gauge their progress and understanding of the course.

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	90
Assignments	3	68
Total		158

Learning Activities Summary

Lecture Outline

L1 - L4:	Deterministic models
L5 - L11:	Stochastic models
L12 - L18:	Deterministic limits
L19 - L25:	Path integrals
L26 - L28:	Bayesian inference
L29:	Revision

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

Component	Weighting	Objective Assessed
Exam	70%	all
Assignments	30%	all

Assessment Related Requirements

An aggregate score of 50% or more is required to pass the course.

Assessment Detail

There will be three assignments worth 30% of the total mark. The remaining 70% will come from the exam.

Submission

Assignments must be handed in person to the lecturer or submitted in the assigned assignment box if they are to be marked.

Course Grading

Grades for your performance in this course will be awarded in accordance with the following scheme:

M11 (Honours Mark Scheme)
Grade	Grade reflects following criteria for allocation of grade	Reported on Official Transcript
Fail	A mark between 1-49	F
Third Class	A mark between 50-59	3
Second Class Div B	A mark between 60-69	2B
Second Class Div A	A mark between 70-79	2A
First Class	A mark between 80-100	1
Result Pending	An interim result	RP
Continuing	Continuing	CN

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 .

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.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

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鈥檚 disciplinary procedures.

The 最新糖心Vlog of Adelaide is committed to regular reviews of the courses and programs it offers to students. The 最新糖心Vlog of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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