Course Title: Honours Statistics Project 2

Part A: Course Overview

Course Title: Honours Statistics Project 2

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2179

City Campus

Undergraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2009,
Sem 2 2009,
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: vural.aksakalli@rmit.edu.au

Course Coordinator Location: 008.09.084

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.

 


Course Description

This course forms the first half of the Honours year research project. You will undertake your project under the supervision of an academic within the school, and develop a number of capabilities through your research. This is a student based learning course that provides an opportunity for you to demonstrate the capacity to incorporate learning from one-on-one supervisor guidance and interaction with what you discover from your own reading and research activities. It will require the application of knowledge and skills embedded in the particular courses that you have followed in your Bachelor program that relate to your chosen area of research. You shall also undertake a research methods component. This component aims to introduce you more broadly to the methods used in research in the mathematical sciences. It is designed to help you place your own project in the wider context of research activity in statistics, to formulate appropriate research questions, to critically read the literature, and to bring structure to your own research activity.
The aim of this course is to:
• Give you a quality research experience.
• Prepare you for research and higher-level employment through developing your knowledge of the field, capacity for independent work, and scientific communication.
• Provide appropriate training in scientific methods, and in research skills, and to prepare you for higher degree programs.

 

Please note that if you take this course for a bachelor honours program, your overall mark for the course will be one of the course marks 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 webpage for more information.

http://www1.rmit.edu.au/browse;ID=eyj5c0mo77631
 


Objectives/Learning Outcomes/Capability Development

On completion of the course, in terms of research methods, you will have:
• learnt to use advanced information retrieval techniques to search the literature, using the Library facilities;
• the ability to plan a program of research, stating clearly the hypothesis and research question(s), the significance of the project and the methods by which the aims are to be achieved;
• present an outline of the project and respond appropriately to questions by peers;
• understand and practise effective time management skills;
• understand and practise the ethical responsibilities of a professional scientist, including an appreciation of some of the legal aspects to working as a professional scientist.

On completion of your project, you will also have:
• developed an ability to state objectives clearly, to pursue them methodically and to argue clearly and critically;
• have a critical appreciation and understanding of your own work to that of others;
• a greater knowledge of current research work in one or more areas of statistics research;
• the ability to conduct independent statistical investigations under minimal supervision;
• enhanced skills needed to conduct statistical investigations;
• a greater ability to report critically on statistical investigations;
• present an outline of the project and respond appropriately to questions by peers;
• understand and practise the ethical responsibilities of a professional scientist;
• understand legal aspects of working as a professional scientist.


The program learning outcomes addressed in this course are:
Mathematics and Statistics in Context
You will have the ability to discuss the complex, diverse and evolving social, political and cultural dimensions of practising as a mathematics and statistics professional in organisational and community settings.

Problem Solving
You will have the ability to apply knowledge and skill to characterise, analyse and solve a wide range of problems.

Teamwork and Project Management
You will have the ability to contribute to professional work settings through effective participation in teams and organisation of project tasks.

Ethics
You will have the ability to discuss the ethical considerations that inform judgements and decisions in academic and professional settings.

Information Literacy
You will have the ability to locate and use data and information and evaluate its quality with respect to its authority and relevance.


Overview of Learning Activities

Under the individual guidance of your project supervisor, you will conduct statistical investigations and research and will analyse, reflect on and report your results.
You will be required to read scholarly journals on your subject area and discuss them with your supervisor. After gaining an acceptable standard of comprehension, you may be required to perform some standard calculations or numerical computations on variants of the problems or new problems to which this technique is applicable.
You will write the results of this study as a thesis in order to demonstrate your comprehension of the area. You are expected to give a presentation as part of the course.
 


Overview of Learning Resources

Your principle learning resources for this course will normally be your supervisor and the RMIT library resources that will give you access to the relevant published literature you identify over the course of the project. In some cases there may be data sets that are either or publicly available or made available to you by your supervisor.


Overview of Assessment

The course will be assessed on the basis of a research proposal and literature review (completed during Honours Statistics Project 1) and a research thesis, submitted on completion of both Honours Statistics Project 1 and Honours Statistics Project 2. An identical mark will be provided for each course.