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MATHS 3020 - Advanced Mathematical Perspectives III

North Terrace Campus - Semester 2 - 2025

The aim of this course is to develop research skills in the mathematical sciences. The student will undertake a research project in one of the areas of research strength of the School of Mathematical Sciences: Mechanics, Pure Mathematics and Statistics & Stochastics. Students will be required to meet weekly with a supervisor and to prepare a written final report and, in addition, give a seminar based on that report.

  • General Course Information
    Course Details
    Course Code MATHS 3020
    Course Advanced Mathematical Perspectives III
    Coordinating Unit Mathematical Sciences
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 3 contact hours per week
    Available for Study Abroad and Exchange N
    Prerequisites MATHS 2203
    Incompatible MATHS 3021
    Restrictions Available to BMaSc(Adv) students only
    Assessment Ongoing assessment
    Course Staff

    Course Coordinator: Associate Professor Thomas Leistner

    A/Prof Ben Binder
    Dr Anna Kalenkova
    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    This course is aimed at improving students mathematics and statistics research and problem solving skills. In particular students should gain an improved ability to:

    1. Understand how to translate a real-world problem, given in words, into a mathematical formulation.
    2. Critically analyse and interpret results.
    3. Seek relevant information, and advance new ideas based on the existing literature.
    4. Formulate a rigorous mathematical argument.
    5. Communicate mathematical or statistical ideas, concepts, and results both orally and in writing.
    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.

    1,2,3,4

    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.

    1,2,3,4

    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.

    4,5

    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.

    1,2,3,4,5

    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.

    1,3,5
  • Learning Resources
    Required Resources
    All resources will be provided by the relevant lecturer.
  • Learning & Teaching Activities
    Learning & Teaching Modes
    Initial lecture.

    Weekly group meetings with the relevant lecturer.

    Final group presentations.


    Workload

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

    Weekly meetings (inc. initial lecture):  12 hours

    Assignments and preparation for weekly meetings:  42 hours

    Preparation for oral presentation:  24 hours

    Project:  78 hours

    Total:  156 hours

    Learning Activities Summary
    The course is based on projects, which will be announced closer to the beginning of the course.
  • 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
    Final report 50%
    Ongoing written and oral reporting 30%
    Short oral presentations 15%
    Participation in group meetings and group work 5%

    Assessment Related Requirements
    An agregate score of 50% or more is required to pass this course.
    Assessment Detail
    Details of oral and written ongoing reporting will be determined by the lecturers for each project group.  Final oral (group) presentations will be held in Week 12. 

    The final project report should be a professional document between 15 and 20 pages in length. Both presentation and mathematical content will be assessed.
    Submission
    All written work is to be submitted via the MyUni site for the course.
    Course Grading

    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 .

  • 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
  • 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.

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