MATHS 3021 - Capstone Project in Mathematical Sciences III
North Terrace Campus - Semester 2 - 2023
General Course Information
Course Code MATHS 3021 Course Capstone Project in Mathematical Sciences III Coordinating Unit Mathematical Sciences Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 3 hours per week Available for Study Abroad and Exchange N Prerequisites 9 units of Mathematical Sciences at Level II or higher Incompatible MATHS 3020 Restrictions Not available to BMaSc(Adv) students Course Description This is a capstone course in the mathematical sciences. Each student will work in a small group on a project. Research skills and written and oral communication skills will be developed. Ongoing written reporting, oral presentations, a project report, and participation in group work are required.
Course Coordinator: Professor Yvonne StokesThe lecturers for this course will be
Professor Yvonne Stokes
Dr Ray Vozzo
Dr Melissa Humphries
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesAt the end of this course, students should have:
1. Demonstrated familiarity with a specialized topic in an area of mathematics and/or statistics.
2. Demonstrated skills in critical analysis and interpretation of mathematical and/or statistical results.
3. Demonstrated an ability to work as part of a group to complete an assigned task.
4. Demonstrated an ability to communicate mathematical and/or statistical ideas in both written and oral form.
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.
Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
Attribute 7: Digital capabilities
Graduates are well prepared for living, learning and working in a digital society.
Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
Required ResourcesAll resources will be provided by the lecturers.
Learning & Teaching Activities
Learning & Teaching ModesAt the start of the course students will choose a project in one of three different disciplines: Applied Maths (Dynamics), Data Science/Statistics, or Pure Maths. Students will
- Participate in group meetings with the lecturer in charge (normally two per week of the semester);
- Attend workshops on Writing Skills;
- Complete and submit the assignments set by the lecturer in charge;
- Prepare a presentation on an aspect of their project, in the form of a short video, poster or as otherwise directed by the lecturer in charge;
- Report on progress with the project;
- Write and submit a final report.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.Weekly meetings (inc. initial lecture): 24 hours
Assignments and preparation for weekly meetings: 30 hours
Preparation and delivery of oral presentation: 24 hours
Project: 78 hours
Total: 156 hours
Learning Activities SummaryAssignments, projects, oral presentation, participation in meetings.
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 must maintain academic standards.
Assessment SummaryFinal report: 50%
Draft report: 10%
Poster presentation: 10%
Writing skills assignments: 15%
Assignments and ongoing project reporting: 15%
Assessment Related RequirementsAn agregate score of 50% or more is required to pass this course. Moreover, you must achieve a score of at least 40% for the final project report to pass the course.
Students must also participate in all other components of the course.
Assessment DetailThere are three Writing Skills assignments aimed at developing skills that will assist you with writing your project report.
The number and length of the project assignments will be determined by the individual lecturers for each project group. Typically these will aid learning of material relevant to the project you are to complete.
The final project report should be a professional document between 15 and 20 pages in length, including appendices. If your report contains many figures or tables, the expectation would be that your report is closer to 20 pages in length. Both presentation and mathematical content will be assessed.
Further detail will be provided via the MyUni site for this course and/or by the lecturer for the specific project group.
SubmissionAll written work is to be submitted via the MyUni site for the course.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
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.
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
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- Assessment for Coursework Programs Policy
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- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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