Handbook

MAST10007 Linear Algebra

Credit Points: 12.5
Level: 1 (Undergraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2017:

Summer Term, Parkville - Taught on campus.Show/hide details
Pre-teaching Period Start not applicable
Teaching Period 03-Jan-2017 to 17-Feb-2017
Assessment Period End 25-Feb-2017
Last date to Self-Enrol 12-Jan-2017
Census Date 13-Jan-2017
Last date to Withdraw without fail 10-Feb-2017

Semester 1, Parkville - Taught on campus.Show/hide details
Pre-teaching Period Start not applicable
Teaching Period 27-Feb-2017 to 28-May-2017
Assessment Period End 23-Jun-2017
Last date to Self-Enrol 10-Mar-2017
Census Date 31-Mar-2017
Last date to Withdraw without fail 05-May-2017

Semester 2, Parkville - Taught on campus.Show/hide details
Pre-teaching Period Start not applicable
Teaching Period 24-Jul-2017 to 22-Oct-2017
Assessment Period End 17-Nov-2017
Last date to Self-Enrol 04-Aug-2017
Census Date 31-Aug-2017
Last date to Withdraw without fail 22-Sep-2017


Timetable can be viewed here.
For information about these dates, click here.
Time Commitment: Contact Hours: Summer Semester: 6 x one hour lectures per week, 2 x one hour practice classes per week, 2 x one hour computer laboratory classes per week. Semester 1 and 2: 3 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 Commitment:

Estimated total time commitment of 170 hours

Prerequisites:

A study score of at least 27 in VCE Specialist Mathematics 3/4, or equivalent, or one of

Subject
Study Period Commencement:
Credit Points:
Semester 1, Semester 2
12.50
Semester 1, Semester 2
12.50
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects:

Students may only gain credit for one of

  • MAST10013 UMEP Maths for High Achieving Students

Bachelor of Science students are permitted to complete a maximum of three level-1 Mathematics and Statistics subjects. They are not permitted to complete all four of MAST10005, MAST10006, MAST10007 and MAST10010

Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability

Coordinator

Dr Marcy Robertson, Prof Paul Norbury, Prof Peter Forrester

Contact

Email: marcy.robertson@unimelb.edu.au ; norbury@unimelb.edu.au ; pjforr@unimelb.edu.au


Subject Overview:

This subject gives a solid grounding in key areas of modern mathematics needed in science and technology. It develops the concepts of vectors, matrices and the methods of linear algebra. Students should develop the ability to use the methods of linear algebra and gain an appreciation 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.

Systems of linear equations, matrices and determinants; vectors in real n-space, cross product, scalar triple product, lines and planes; vector spaces, linear independence, basis, dimension; linear transformations, eigenvalues, eigenvectors; inner products, least squares estimation, symmetric and orthogonal matrices.

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 use of vectors in describing lines and planes in solid geometry;
  • understand the extension of vector concepts to abstract vector spaces of arbitrary finite dimension;
  • understand linear transformations, their matrix representations and applications;
  • become familiar with the use of a computer package for symbolic and numeric calculation.
Assessment:

Summer semester: Five assignments, either written or online, due at weekly intervals during semester amounting to a total of up to 25 pages (10%), one 45-minute written computer laboratory test held at the end of semester (10%), and a 3-hour written examination in the examination period (80%).

Semester 1 and 2: Ten assignments, either written or online, due at weekly intervals during semester amounting to a total of up to 25 pages (10%), one 45-minute written computer laboratory test held at the end of semester (10%), and a 3-hour written examination in the examination period (80%).

Prescribed Texts:

None.

Recommended Texts:

Elementary Linear Algebra Applications Version (H. Anton and C. Rorres), 11th edn, Wiley, 2013.

Breadth Options:

This subject potentially can be taken as a breadth subject component for the following courses:

You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
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.

Notes:

This subject is available for science credit to students enrolled in the BSc (both pre-2008 and new degrees), BASc or a combined BSc course.

Students with a score of 40 or more in VCE Specialist Mathematics 3/4 are strongly encouraged to enrol in both

  • MAST10008 Accelerated Mathematics 1
  • MAST10009 Accelerated Mathematics 2

instead of both

  • MAST10006 Calculus 2
  • MAST10007 Linear Algebra

Students with a study score of 29 in VCE Specialist Mathematics 3/4 or equivalent, are eligible to enrol in MAST10005 Calculus 1, MAST10006 Calculus 2 or MAST10007 Linear Algebra. Such students should seek course advice before completing their enrolment.

Students require access to a computer with the software package MATLAB installed. This package is currently available in every open-access campus laboratory.
Students will be expected to use the software package MATLAB but no programming knowledge is expected.

Related Course(s): Bachelor of Biomedicine
Bachelor of Environments
Related Majors/Minors/Specialisations: B-ENG Chemical Engineering stream
B-ENG Chemical and Biomolecular Engineering stream
B-ENG Civil Engineering stream
B-ENG Electrical Engineering stream
B-ENG Mechanical Engineering stream
B-ENG Software Engineering stream
Bachelor of Design Elective Subjects
Civil (Engineering) Systems major
Engineering Systems
Environmental Engineering Systems major
Environmental Science major
Environments Discipline subjects
Geomatics (Geomatic Engineering) major
Science-credited subjects - new generation B-SCI and B-ENG.
Selective subjects for B-BMED
Spatial Systems
Related Breadth Track(s): Mathematics and Statistics
Mathematics for Economics
Electrical Engineering
Mechanical Engineering

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