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MATH1002: Linear Algebra (2012 - Summer Main)
Download UoS Outline | Back to Bachelor of Information Technology/Bachelor of Laws (2017)
| Unit: | MATH1002: Linear Algebra (3 CP) |
| Mode: | Normal-Day |
| On Offer: | Yes |
| Level: | Junior |
| Faculty/School: | School of Mathematics and Statistics |
| Unit Coordinator/s: | |
| Session options: | Semester 1, Summer Main |
| Versions for this Unit: | |
| Site(s) for this Unit: |
http://assign3.chem.usyd.edu.au/uos_outlines/make_pdf.cfm?unit=MATH1002&print=no |
| Campus: | Camperdown/Darlington |
| Pre-Requisites: | None. |
| Prohibitions: | MATH1902, MATH1012, MATH1014 |
| Brief Handbook Description: | MATH1002 is designed to provide a thorough preparation for further study in mathematics and statistics. It is a core unit of study providing three of the twelve credit points required by the Faculty of Science as well as a Junior level requirement in the Faculty of Engineering. This unit of study introduces vectors and vector algebra, linear algebra including solutions of linear systems, matrices, determinants, eigenvalues and eigenvectors. Course Aims: In addition to extending students' knowledge in vectors and matrices, MATH1001 is designed to:
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| Assumed Knowledge: | HSC Mathematics Extension 1 |
| Lecturer/s: |
A/Prof Dullin, H
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| Timetable: | MATH1002 Timetable |
| T&L Activities: | More details available at http://assign3.chem.usyd.edu.au/uos_outlines/make_pdf.cfm?unit=MATH1002&print=no |
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.
Scientific problem-solving| Assessment Methods: |
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| Assessment Description: | More details available at http://assign3.chem.usyd.edu.au/uos_outlines/make_pdf.cfm?unit=MATH1002&print=no | ||||||||||||||||||||||||||||||
| Grading: |
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| Policies & Procedures: | For full details of applicable university policies and procedures, see the Policies Online site at http://sydney.edu.au/policy"> http://sydney.edu.au/policy
Academic Policies relevant to student assessment, progression and coursework:
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| Online Course Content: | http://assign3.chem.usyd.edu.au/uos_outlines/make_pdf.cfm?unit=MATH1002&print=no |
| Note on Resources: |
Textbook David Easdown A First Course in Linear Algebra. Pearson Australia. Available Co-op Bookshop. |
Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
| Week | Description |
| Week 6 | Assessment Due: Quiz 1 |
| Week 8 | Assessment Due: Assignment |
| Week 11 | Assessment Due: Quiz 2 |
| Exam Period | Assessment Due: Final exam |
Course Relations
The following is a list of courses which have added this Unit to their structure.
Course Goals
This unit contributes to the achievement of the following course goals:
| Attribute | Practiced | Assessed |
| Scientific problem-solving | No | 85.02% |
| Writing and speaking | No | 15% |
These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.