Course Title: Advanced Topics in Statistics
Part A: Course Overview
Course Title: Advanced Topics in Statistics
Credit Points: 36.00
145H Mathematical & Geospatial Sciences
|Sem 1 2011,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016,
Sem 2 2016
Course Coordinator: Dr Vural Aksakalli
Course Coordinator Phone: +61 3 9925 2277
Course Coordinator Email: email@example.com
Course Coordinator Location: 8.9.84
Course Coordinator Availability: By appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
There are no prerequisites for this course, other than graduate entry to Honours.
This course is an extension of undergraduate coursework into areas of advanced statistics that are of contemporary and emerging relevance in science and engineering.
The course comprises three separate components (equivalent to three 12 credit point courses) to be selected, according to availability, from a list of subjects that cover a range of topics that constitute modern applied mathematics. These courses may be a) Honours courses delivered at RMIT University; b) reading courses given by an academic supervisor; c) ACE Honours Courses sponsored by the Australian Mathematical Sciences Institute; or d) Masters level courses from MC159, MC004 or MC242 given by lecturers from the Mathematics and Statistics discipline at RMIT University.
Where appropriate you will be introduced to the use of advanced mathematical software. One or more components of this course will include research methods that are used in the more specific context of particular fields of statistics.
Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information web page for more information.)
Objectives/Learning Outcomes/Capability Development
This course contributes to the following Program Learning Outcomes for BH010Bachelor of Science (Statistics) (Honours):
- Ability to apply knowledge and skill to characterise, analyse and solve a wide range of problems.
Teamwork and Project Management:
- Ability to contribute to professional work settings through effective participation in teams and organisation of project tasks.
- Ability to communicate both technical and non-technical material in a range of forms (written, electronic, graphic, oral) and to tailor the style and means of communication to different audiences.
- Ability to locate and use data and information and evaluate its quality with respect to its authority and relevance.
On completion of this course you should be able to:
- Analyse and solve problems relating to a wide range of applications.
- Demonstrate high level knowledge, skills and their application in the selected fields in the course description.
- Apply research methods that are particularly relevant in operations research.
Overview of Learning Activities
You will attend lectures where you will be exposed to the theory and methods of analyses, and where appropriate, tutorial and/or laboratory classes.
Overview of Learning Resources
Texts and references for the lecture series will be available through the RMIT Bookshop and Library. These may be supplemented by notes supplied by the lecturers. You may need to search Library and online resources for background material and references relevant to your studies.
Library Subject Guide for Mathematics & Statistics: http://rmit.libguides.com/mathstats
Overview of Assessment
MATH 2207 (36cp) comprises three components (12cp each) as selected by individual students for their preferred Honours study program. MATH 2207 assessment regimes will vary for individual students depending on the component they select. All selected components (including reading courses, Summer School attendance and cross-institutional study) will be assessed through a variety of methods which might include assignments, reports, project work and/or examination. The nature and weightings of these tasks and their alignment with specified learning outcomes are pre-determined. Assessment details will usually be available in the first contact session for each component.
A final grade for the course MATH 2207 within your Honours’ program will be calculated by the mean score of your results for these three components.