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Accelerated Mathematics 1 (MAST10008)

Undergraduate level 1Points: 12.5On Campus (Parkville)

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Overview

Year of offer2018
Subject levelUndergraduate Level 1
Subject codeMAST10008
Campus
Parkville
Availability
Semester 1
FeesSubject EFTSL, Level, Discipline & Census Date

This subject develops the concepts of vectors, matrices and the methods of linear algebra and introduces students to differentiation and integration of functions of two variables. Students will be exposed to methods of mathematical proof. Little of the material here has been seen at school and the level of understanding required represents an advance on previous studies. Underlying concepts developed in lectures will be reinforced in computer laboratory classes.

Topics covered include systems of linear equations, matrices and determinants, vector geometry, lines and planes, vector spaces, subspaces, linear independence, bases, dimension, inner products, linear transformations, eigenvalues and eigenvectors, complex eigenvalues and exponentials as well as techniques of proof, partial derivatives, chain rule for partial derivatives, directional derivatives, tangent planes, extrema for functions of several variables and double integrals.

Intended learning outcomes

Students completing this subject should:

  • be able to use matrix techniques to represent and solve a system of simultaneous linear equations;
  • understand the extension of vector concepts to abstract vector spaces of arbitrary finite dimension;
  • understand linear transformations, their matrix representations and applications;
  • be able to differentiate and integrate functions of two variables;
  • be able to do a simple mathematical proof.

Generic skills

In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:

  • problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
  • analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
  • collaborative skills: the ability to work in a team;
  • time-management skills: the ability to meet regular deadlines while balancing competing commitments; and
  • computer skills: the ability to use mathematical computing packages.

Eligibility and requirements

Prerequisites

A study score of at least 38 in VCE Specialist Mathematics 3/4 or equivalent; or permission from the Director of the Mathematics and Statistics Learning Centre; or

  • MAST10009 Accelerated Mathematics 2

Corequisites

None

Non-allowed subjects

Students may only gain credit for one of

  • MAST10007 Linear Algebra
  • MAST10008 Accelerated Mathematics 1
  • MAST10013 UMEP Mathematics for High Achieving Students
  • MAST10018 Linear Algebra Extension Studies

Core participation requirements

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home

Assessment

Description

Three written assignments due at regular intervals during semester amounting to a total of up to 25 pages (9%), three online assessment tasks due at regular intervals during semester (6%), a 45-minute computer laboratory test held at the end of semester (5%), and a 3-hour written examination in the examination period (80%).

Dates & times

  • Semester 1
    Principal coordinatorAlexandru Ghitza
    Mode of deliveryOn Campus — Parkville
    Contact hours4 x one hour lectures per week, 1 x one hour practice class per week, 1 x one hour computer laboratory class per week
    Total time commitment170 hours
    Teaching period26 February 2018 to 27 May 2018
    Last self-enrol date 9 March 2018
    Census date31 March 2018
    Last date to withdraw without fail 4 May 2018
    Assessment period ends22 June 2018

Time commitment details

Estimated total time commitment of 170 hours

Further information

Last updated: 10 August 2019