APP MTH 4046 - Applied Mathematics Topic A - Honours

North Terrace Campus - Semester 1 - 2023

This course is available for students taking an honours degree in Mathematical Sciences. The course will cover an advanced topic in applied mathematics. For details of the topic covered this year please refer to the Course Outline

  • General Course Information
    Course Details
    Course Code APP MTH 4046
    Course Applied Mathematics Topic A - Honours
    Coordinating Unit Mathematical Sciences
    Term Semester 1
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 2.5 hours per week
    Available for Study Abroad and Exchange Y
    Restrictions Honours students only
    Assessment Ongoing assessment, exam
    Course Staff

    Course Coordinator: Dr Rahil Valani

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    In 2023 the topic of this course will be Chaos with applications.

    Systems that evolve in time according to deterministic rules are called deterministic dynamical systems. In nonlinear dynamical systems, irregular and complex behavior can emerge known as Chaos. Chaos is ubiquitous in many different areas such as physics, engineering, ecology and robotics. This course will introduce the students to different aspects of chaotic dynamics along with their application in different areas with the aid of computational tools. 

    Topics

    Topics covered in this course will include:

    - Fundamentals of nonlinear dynamical systems
    - Strange attractors
    - Lyaponav exponents
    - Basin of attraction
    - Multistability
    - Intermittency
    - Fractals
    - Hyperchaos
    - Transient chaos
    - Deterministic diffusion

    Learning Outcomes


    On successful completion of this course, students will be able to:

    1. Demonstrate understanding of the key properties of chaotic dynamics
    2. Apply computational tools to evaluate different aspects of chaotic dynamics such as attractors in phase space, basins of attraction and Lyaponav exponents
    3. Appreciate and apply aspects of chaotic dynamics in different areas such as physics, biology, robotics and engineering
    4. Interpret and communicate key aspects of chaotic dynamics for various applications

    Assumed knowledge

    - Modelling with ODEs 
    - This course will require programming (MATLAB is recommended but students can use their preferred language).
    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.

    all

    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.

    all

    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.

    all

    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.

    all
  • Learning Resources
    Required Resources
    Access to the internet.
    Online Learning
    The course will have an active MyUni website.
  • Learning & Teaching Activities
    Learning & Teaching Modes
    Students will work though the notes and reading materials guided by the Lecturer. Weekly workshops will provide time for in-depth discussion of the material. Assignments help students strengthen their understanding of the concepts and their skills in applying it, and allow them to gauge their progress.
    Workload

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

    ActivityQuantityWorkload Hours
    Workshops (and self study) 12 90
    Assignments  4 36
    Final Project 1 30
    Total 156



    Learning Activities Summary
    1. Key aspects of chaotic dynamics,
    2. Calculating properties of chaotic dynamical systems, and
    3. Application of chaotic dynamics to dynamical systems in physics, biology, robotics and engineering
    Specific Course Requirements
    None.
  • 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
    Component Weighting Objective Assessed
    Assignments  40% all
    Weekly quizzes 20% all
    Final project 40% all
    Assessment Related Requirements
    An aggregate score of at least 50% is required to pass the course.
    Assessment Detail
    There will be 4 Assignments and weekly quizzes during the semester, and Final report towards the end of Semester.
    Submission

    No information currently available.

    Course Grading

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

    M11 (Honours Mark Scheme)
    GradeGrade reflects following criteria for allocation of gradeReported on Official Transcript
    Fail A mark between 1-49 F
    Third Class A mark between 50-59 3
    Second Class Div B A mark between 60-69 2B
    Second Class Div A A mark between 70-79 2A
    First Class A mark between 80-100 1
    Result Pending An interim result RP
    Continuing Continuing CN

    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

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