成人大片

MATHS 1013 - Mathematics IM

North Terrace Campus - Semester 1 - 2023

This course provides the necessary additional mathematics to prepare students for MATHS 1011 Mathematics IA. This course develops logical thinking and problem solving skills with an emphasis on applications. Topics covered are: mathematical notation, mathematical induction, complex numbers, functions (composition, inverse, graphing), vectors and parametric curves, integration techniques, rates of change and differential equations.

  • General Course Information
    Course Details
    Course Code MATHS 1013
    Course Mathematics IM
    Coordinating Unit Mathematical Sciences
    Term Semester 1
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 5 hours per week
    Available for Study Abroad and Exchange Y
    Prerequisites At least a C- in SACE Stage 2 Mathematical Methods; or IB Mathematics: at least 3 in applications and interpretations HL, or 4 in analysis and approaches SL
    Incompatible ECON 1005, ECON 1010, MATHS 1009, MATHS 1010
    Restrictions Not available to students with an A- or better in both SACE Stage 2 Mathematical Methods and SACE Stage 2 Specialist Mathematics.
    Assessment Ongoing assessment, exam
    Course Staff

    Course Coordinator: Dr Adrian Koerber

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:
    1. Demonstrate understanding of and proficiency with introductory concepts in mathematics, relating to functions, techniques of integration, differential equations, vectors, systems of linear equations and complex numbers.
    2. Employ methods related to these concepts in a variety of applications.
    3. Apply logical thinking to problem-solving in context.
    4. Demonstrate skills in writing mathematics.
    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.

    2,3
  • Learning Resources
    Required Resources
    A set of Outline Lecture Notes will be available as a PDF on the MyUni site for this course. These notes will be used during lectures. (More specific details will be provided on MyUni.)

    There are no required textbooks for this course.
    Online Learning

    This course uses MyUni extensively and exclusively for providing electronic resources, such as lecture notes and videos, assignment and tutorial questions, and worked solutions. Students should make appropriate use of these resources. MyUni can be accessed here:

    This course also makes use of online assessment software for mathematics called Mobius, which we use to provide students with instantaneous formative feedback. Further details about using Mobius will be provided on MyUni.

    Students are also reminded that they need to check their University email on a daily basis. Sometimes important and time-critical information might be sent by email and students are expected to have read it. Any problems with accessing or managing student email accounts should be directed to Technology Services.

  • Learning & Teaching Activities
    Learning & Teaching Modes
    This course relies on lecture videos to guide students through the material, tutorial classes to provide students with small group and individual assistance, and a sequence of written and online assignments to provide formative assessment opportunities for students to practise techniques and develop their understanding of the course.

    We provide additional support via discussions on MyUni and via "drop-in" help.
    Workload

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


    Activity Quantity   Workload hours
    Lectures 48 84
    Tutorials 11 11
    Assignments and practice 11 55
    Mid Semester Test 1 6
    Total 156
    Learning Activities Summary
    The course covers the following topics:

    0. Sets and Mathematical Notation

    1. Functions
    Definitions, trigonometric functions, inverse functions.

    2. Techniques of Integration
    Antiderivatives, integration by substitution, integration by parts.

    3. Differential Equations
    Definitions, first order separable DEs, Newton's law of cooling, Euler's method.

    4. Vectors and Parametric Curves
    Geometric and coordinate representations in 2D and 3D, length, dot product, projections, cross product, lines and planes, parametric curves and related rates.

    5. Complex numbers
    Geometric and algebraic properties, mathematical induction, Polar form, De Moivre's theorem, zeros of real and complex polynomials, The Fundamental Theorem of Algebra.

    6. Deductive reasoning
    Logic and reasoning, examples from Number Theory.
  • 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 Task Type Weighting Hurdle criteria Learning Outcomes
    Written Assignments Formative and Summative 12.5% all
    Mobius Assignments Formative and Summative 12.5% 1,2,3
    Mid Semester Test Summative and Formative 15% 1,2,3
    Final Exam Summative 60% 40% all
    Assessment Related Requirements
    The final exam has a hurdle requirement: students must achieve at least 40% on the final exam in order to pass the course.

    An overall score of 50% is required to pass the course.
    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:

    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 .

    Replacement and Additional Assessment Examinations (R/AA Exams)

    Students are encouraged to read the University's R/AA exam information on the University’s Examinations webpage here:
    /student/exams/modified-arrangements-for-coursework-assessment/replacement-examinations-and-additional-assessment
  • 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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