STATS 7300B - Statistics Masters Project B

North Terrace Campus - Semester 2 - 2024

Students undertake a detailed study under the guidance of a supervisor and document their work in the form of a thesis. The topic of the project is decided by the supervisor in conjunction with the student. Students not only increase their discipline knowledge, but develop critical analysis and technical writing skills that are highly useful for many occupations and essential for postgraduate research degrees.

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Course Details

Course Code	STATS 7300B
Course	Statistics Masters Project B
Coordinating Unit	Mathematical Sciences
Term	Semester 2
Level	Postgraduate Coursework
Location/s	North Terrace Campus
Available for Study Abroad and Exchange	N
Restrictions	MMaSc students only

Course Staff

Course Coordinator: Dr Trent Mattner

Course Timetable

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

Course Learning Outcomes

On successful completion of this course students will have:

Demonstrated familiarity with research in an area of mathematics and/or statistics.
Demonstrated skills in interpreting and critically evaluating literature related to a current area of research in mathematics and/or statistics.
Demonstrated skills in communicating mathematical and/or statistical research to an audience, both in written form and orally.
Demonstrated an understanding of research methods in mathematics and/or statistics.

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

University Graduate Attribute	Course Learning Outcome(s)
Attribute 1: Deep discipline knowledge and intellectual breadth Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.	1,2
Attribute 2: Creative and critical thinking, and problem solving Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.	1,2,4
Attribute 3: Teamwork and communication skills Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.	2,3,4

University Graduate Attribute

Course Learning Outcome(s)

Attribute 1: Deep discipline knowledge and intellectual breadth

Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.

1,2

Attribute 2: Creative and critical thinking, and problem solving

Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.

1,2,4

Attribute 3: Teamwork and communication skills

Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.

2,3,4

Learning & Teaching Activities
Learning & Teaching Modes
The research project provides an introduction to research in mathematics in an area chosen by the student from a range of projects offered by staff in the Discipline of Mathematical Sciences. Students learn by a combination of reading research papers and monographs, discussing aspects of the research project with their supervisor and presenting their work both in oral form through a seminar presentation and in written form through a thesis.

The thesis can take the form of:
1. a critical review of a topic,
2. an analysis of data, a problem or application using existing techniques,
3. a detailed exposition of results from the literature,
4. extensions or generalizations of existing work.
Workload

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

Activity Quantity Workload hours

Research Methodologies workshop 12

Weekly supervisory meetings 1 hour/week 12

Weekly project work 11 hours/week 132

TOTALS 156

Learning Activities Summary
The Masters Project involves several stages:
1. Initial literature review and topic proposal. An outline of the research project must be submitted to MyUni at the beginning of Week 7 of the student's first semester. Attendance at non-assessed Research Methodologies workshop.
2. Ongoing literature review and research. Planning of thesis and drafting of initial chapters. Students are expected to commence writing their thesis no later than the beginning of their second semester.
3. Research seminar held in the mid-semester break of the student's final semester.
4. Completion of thesis writing: students are expected to provide a complete thesis draft to their supervisor at the beginning of Week 9 of the student's final semester. The thesis is due on Friday of Week 12 of the student's final semester. It is lodged on MyUni.
The specifics of each of these stages is highly dependent on the nature of the project; they should be discussed with the project supervisor.
Assessment
The University's policy on Assessment for Coursework Programs is based on the following four principles:
1. Assessment must encourage and reinforce learning.
2. Assessment must enable robust and fair judgements about student performance.
3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
4. Assessment must maintain academic standards.
Assessment Summary

Assessment

Task Type Weighting Learning Outcomes

Research Proposal Summative 10 % All

Research Seminar Summative 20 % All

Thesis Summative 70 % All

Assessment Related Requirements

An aggregate score of at least 50% is required to pass Part D of the project.

Assessment Detail

The Masters Project is assessed on the basis of the Research Proposal, Research Seminar and the Thesis, according to the assessment weightings listed in the Assessment Summary above. The Research Seminar is assessed by a small committee comprising of academic staff. The Thesis is assessed by two examiners appointed by the School of Mathematical Sciences.

Submission

The research proposal and thesis must be submitted according to the policies and procedures published on the Masters Project MyUni site.

Course Grading

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

NOG (No Grade Associated)

Grade Description

CN Continuing

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 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.
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.

Assessment
Task	Type	Weighting	Learning Outcomes
Research Proposal	Summative	10 %	All
Research Seminar	Summative	20 %	All
Thesis	Summative	70 %	All

NOG (No Grade Associated)
Grade	Description
CN	Continuing

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

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