MATHS 7097A - Data Science Research Project Part A

North Terrace Campus - Trimester 2 - 2022

This course will prepare students for advanced research by examining how to plan, conduct and report on empirical investigations with an emphasis on data science.

  • General Course Information
    Course Details
    Course Code MATHS 7097A
    Course Data Science Research Project Part A
    Coordinating Unit Mathematical Sciences
    Term Trimester 2
    Level Postgraduate Coursework
    Location/s North Terrace Campus
    Contact Up to 2 hours per week
    Available for Study Abroad and Exchange N
    Prerequisites MATHS 7027 and COMP SCI 7201 and MATHS 7107
    Restrictions Available to M Data Sci students only
    Course Description This course will prepare students for advanced research by examining how to plan, conduct and report on empirical investigations with an emphasis on data science.
    Course Staff

    Course Coordinator: Dr John Maclean

    In this course, your Research project will be supervised by a staff member of the School of Mathematical Sciences. The course coordinator will perform pastoral care and track that each group is achieving their milestones.
    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:


    1. Explain the theory underlying algorithms from an area of data science.
    2. Interpret and assess literature related to a current research topic in data science.
    3. Implement and experiment with data analytics algorithms.
    4. Present data analysis results and write reports.
    5. Work and plan independently.
    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.

    1-4

    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.

    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.

    1,2

    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.

    1,4

    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.

    1,5
  • Learning Resources
    Required Resources
    For all learning resources, consult with your project supervisor.
  • Learning & Teaching Activities
    Learning & Teaching Modes

    No information currently available.

    Workload

    No information currently available.

    Learning Activities Summary

    No information currently available.

  • 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 Weighting (%) Formative/ Summative Due (week)* Learning outcomes
    Project proposal 20 Formative 3 1
    Mid-term Progress report and/or presentation 20 Formative 7 1,2
    Progress report  60 Summative 12 1-5
    Total 100
    * The specific due date for each assessment task will be available on MyUni.

    Project supervisors may choose the form of each assessment task in order to best suit their particular research project.
    Assessment Detail

    No information currently available.

    Submission

    No information currently available.

    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 Access Adelaide.

  • 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’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.