Mathematics 2

RMIT University Vietnam

Course Description

  • Course Name

    Mathematics 2

  • Host University

    RMIT University Vietnam

  • Location

    Ho Chi Minh City, Vietnam

  • Area of Study

    Engineering Science, Mathematics

  • Language Level

    Taught In English

  • Prerequisites

    Pre-requisite Courses and Assumed Knowledge and Capabilities

    Students are required to have successfully completed the course MATH2167 or MATH2239 or equivalent courses, or provide evidence of equivalent capabilities.

    Hours & Credits

  • Host University Units

    12
  • Recommended U.S. Semester Credits
    4
  • Recommended U.S. Quarter Units
    6
  • Overview

    Course Description

    This course develops the mathematical concepts introduced in MATH2167/MATH2239 and introduces topics such as: Matrix theory and linear algebra, Statistics and Probability, Analytic and Numerical methods of solving differential equations, Power series and MATLAB preparing students for application of these concepts to Engineering studies.

     

    Objectives/Learning Outcomes/Capability Development

    At Associate level this course contributes to the following program learning outcomes:

    1.1 Descriptive, formula-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the practice area.

    1.2 Procedural-level understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the practice area.

    1.4 Discernment of engineering developments within the practice area.

    2.1 Application of established technical and practical methods to the solution of well- defined engineering problems.

    2.2 Application of technical and practical techniques, tools and resources to well defined engineering problems.

    At Bachelor level this course contributes to the following program learning outcomes:

    1.2. Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline

     

    On completion of this course you should be able to:

    • Apply concepts and principles of matrix algebra to solve linear system of equations and determine eigenvalues and eigenvectors.
    • Use statistics and probability to perform effective and accurate data analysis, interpretation, prediction and hypothesis testing.
    • Use analytic and numerical methods to solve first and second order differential equations and apply this knowledge to engineering situations.
    • Generate, recognise the basic properties and manipulate power series.
    • Utilize MATLAB routines to support learning in the above topics in the context of engineering.

     

    Overview of Learning Activities

    At both Associate level and Bachelor level the learning activities for this course include:

    • Attending
    • Lectures and tutorials
    • Computer Labs
    • Completing
    • Tutorial Exercises
    • MATLAB Exercises

    Required Assessment tasks

    • Self-study: Private study entailing working through the course as presented in classes and supporting learning materials, and gaining practice and confidence in solving conceptual and numerical problems.
    • Key concepts and their application will be explained and illustrated (with examples) in lectures and other supporting learning resources.
    • Supervised problem-based practice classes and class tests/quizzes will build your capacity to solve problems and to think critically and analytically, and give you feedback on your understanding and academic progress.

     

    Overview of Learning Resources

    Learning resources will consist of recommended references and class notes which may be accessed through "myRMIT" if you are in Melbourne and via "RMIT online" if you are based in Vietnam.

    The references include books, journals, reports, notes and web-based resources.

     

    Overview of Assessment

    This course has no hurdle requirements.

    All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).

     

    Assessment 1

    Associate level: Class tests

    Weighting towards final grade: 30%
    this task assesses the following course learning outcomes: 
     PLO 1.1, 1.2, 1.4, 2.1, 2.2  CLO 1, 2

     

    Bachelor level: Class quizzes

    Weighting of final grade: 30%
    this task assesses the following course learning outcomes: 
     PLO 1.2  CLO 1, 2, 3, 4, 5

     

    Assessment 2

    Associate level: MATLAB Test

    Weighting towards final grade: 25% 
    this task assesses the following course learning outcomes:

    PLO 1.1, 1.2, 1.4, 2.1, 2.2  CLO 1, 2, 3, 5

     

    Bachelor level: Assignment

    Weighting of final grade: 20%          
    this task assesses the following course learning outcomes:

    PLO 1.2  CLO 1, 2, 3, 4, 5

     

    Assessment 3

    Both Associate level and Bachelor level: Final examination

    Weighting of final grade at Associate level: 45%

    Weighting of final grade at Bachelor level: 50%

    this task assesses the following course learning outcomes at Associate level:

    PLO 1.1, 1.2, 1.4, 2.1, 2.2  CLO 1, 2, 3, 4

    this task assesses the following course learning outcomes at Bachelor level:

    PLO 1.2  CLO 1, 2, 3, 4, 5