STATS 7200A - Masters Project in Statistics A - Part 1
North Terrace Campus - Semester 1 - 2022
General Course Information
Course Code STATS 7200A Course Masters Project in Statistics A - Part 1 Coordinating Unit School of Mathematical Sciences Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Available for Study Abroad and Exchange N Restrictions MMaSc students only Course Description 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.
No information currently available.
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will have
1. Demonstrated familiarity with research in an area of statistical.
2. Demonstrated skills in interpreting and critically evaluating literature related to a current area of research in statistics.
3. Demonstrated skills in communicating mathematical and/or statistical research to an audience, both in written form and orally.
4. Demonstrated an understanding of research methods in 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.
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.
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.
Required ResourcesResources are recommended on an individual basis by project supervisors.
Learning & Teaching Activities
Learning & Teaching ModesThe research project provides an introduction to research in statistics in an area chosen by the student from a range of projects offered by staff in the School 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 (i) a critical review of a topic (ii) an analysis of data, a problem or application using existing techniques (iii) a detailed exposition of results from the literature (iv) extensions or generalizations of existing work.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.Workload
Weekly attendance at Research Methodologies workshop (1 hour/week): 12 hours
Weekly supervisory meetings (1 hour/week): 12 hours.
Weekly project work (11 hours/week): 132 hours.
Total: 156 hours.
Learning Activities SummaryThe Masters Project involves several stages:
1. Initial literature review and topic proposal. An outline of the research project must be lodged with the Postgraduate Coursework Coordinator at the beginning of Week 7 of the student's first semester. Attendance at non-assessed Research Methodologies seminar.
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 second 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 second semester. The thesis is due on Friday of Week 12 of the student's second semester; it is lodged with the Postgraduate Coursework Coordinator.
The specifics of each of these stages is highly dependent on the nature of the project; they should be discussed with the project supervisor.
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 SummaryThe Masters Project has two main assessment components:
1. Research Seminar (worth 10% of the final grade).
2. Thesis (worth 90% of the final grade).
These assessment components determine the grade for STATS 7200D - Masters Project in Statistics D - Part 4 (the courses STATS 7200A, STATS 7200B and STATS 7200C have grades of CN associated with them).
Assessment Related RequirementsAn aggregate score of at least 50% is required to pass the Masters Project in Statistics D (the three courses Masters Project in Statistics A, B and C each receive a grade of CN).
Assessment DetailThe Masters Project is assessed on the basis of the Research Seminar (worth 10% of the final grade) and the Thesis (worth 90% of the final grade). The Research Seminar is assessed by a small committee comprising of academic staff, normally from each of the three disciplines (Applied, Pure and Statistics). The Thesis is assessed by two examiners from the School of Mathematical Sciences.
No information currently available.
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 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.