MATHS 1012 - Mathematics IB
North Terrace Campus - Semester 2 - 2020
General Course Information
Course Code MATHS 1012 Course Mathematics IB Coordinating Unit School of Mathematical Sciences Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 5 hours per week Available for Study Abroad and Exchange Y Prerequisites MATHS 1011 Incompatible ECON 1005, ECON 1010, MATHS 1004, MATHS 1009, MATHS 1010 Course Description This course, together with MATHS 1011 Mathematics IA, provides an introduction to the basic concepts and techniques of calculus and linear algebra, emphasising their inter-relationships and applications to engineering, the sciences and financial areas, introduces students to the use of computers in mathematics, and develops problem solving skills with both theoretical and practical problems.
Topics covered are: Calculus: Differential equations, sequences and series, power series, calculus in two variables. Algebra: Subspaces, rank theorem, linear transformations, orthogonality, eigenvalues and eigenvectors, singular value decomposition, applications of linear algebra.
Course Coordinator: Dr Adrian Koerber
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will be able to:
- Demonstrate understanding of concepts in linear algebra, relating to vector spaces, linear transformations, orthogonality, eigenvalues and eigenvectors and diagonalisation.
- Demonstrate understanding of concepts in calculus, relating to differential equations, sequences, series and convergence and multivariable calculus.
- Employ methods related to these concepts in a variety of applications.
- Apply logical thinking to problem-solving in context.
- Demonstrate an understanding of the role of proof in mathematics.
- Use appropriate technology to aid problem-solving.
- 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) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
all Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
Required ResourcesA set of Course Notes are available as a PDF on the MyUni site for this course. (More specific details will be provided on MyUni.)
- Poole, D., Linear Algebra: a Modern Introduction 4th edition (Cengage Learning)
- Stewart, J., Calculus 8th edition (metric version) (Cengage Learning)
This course uses MyUni extensively and exclusively for providing electronic resources, such as lecture notes, assignment and tutorial questions, and worked solutions. Students should make appropriate use of these resources. MyUni can be accessed here: https://myuni.adelaide.edu.au/
This course also makes use of online assessment software for mathematics called Maple TA, which we use to provide students with instantaneous formative feedback. Further details about using Maple TA 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 ModesThis course relies on lectures 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 practice techniques and develop their understanding of the course.
For additional support we also run a drop-in service called First Year Maths Help on the ground floor of Ingkarni Wardli. This is staffed with tutors Monday to Friday 10am-4pm. Just drop in whenever!
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 11 55 Mid Semester Test 1 6 Total 156
Learning Activities SummaryIn Mathematics IB the two topics of algebra and calculus detailed below are taught in parallel, with two lectures a week on each. The tutorials are a combination of algebra and calculus topics, pertaining to the previous week's lectures.
- Revision: Bases, transpose and dimension (2 lectures)
- Row space, null space, column space, rank theorem (3 lectures)
- Linear Transformations (5 lectures)
- Definition and basic properties.
- Kernel and range.
- Standard matrix.
- Dimension theorem.
- Orthogonality, Gram-Schmidt (4 lectures)
- Inner product and orthogonality.
- Gram-Schmidt process.
- Orthogonal projection.
- Ortogonal transformations and matrices.
- Eigenvalues, eigenvectors and diagonalisation (6 lectures)
- Application: Google PageRank.
- Eigenvalues and eigenvectors.
- Properties of eigenvalues.
- Symmetric matrices.
- Orthogonal diagonalisation.
- Singular value decomposition and applications (3 lectures)
- Differential Equations (5 lectures)
- First order separable equations.
- Phase lines.
- First order linear equations.
- Euler and Runge-Kutta methods.
- Second order constant coefficient homogenous equations.
- Second order constant coefficient non-homogenous equations.
- Sequences, Series and Convergence (10 lectures)
- Sequences and applications.
- Series and applications.
- Power series, Taylor series.
- Radius of convergence.
- Multivariable Calculus (7 lectures)
- Surfaces in three dimensions.
- Functions of several variables including polar coordinates.
- Limits and continuity in two variables.
- Partial derivatives.
- Directional derivatives and the gradient.
- Extrema of functions of two variables.
- Revision: Bases, transpose and dimension (2 lectures)
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Task Task Type Weighting Learning Outcomes Written Assignments Formative 7.5% all MapleTA Assignments Formative 7.5% all Tutorial Participation Formative 5% all Mid Semester Test Summative and Formative 10% 1,2,3,4 Exam Summative 70% 1,2,3,4,5,7
Assessment Related RequirementsAn aggregate score of 50% is required to pass the course. Furthermore students must achieve at least 45% on the final examination to pass the course.
Assignments (written and online) are due every fortnight, the first are released in Week 1 and due in Week 3.
Tutorials are weekly beginning in Week 2.
The Mid Semester Test occurs in your enrolled computer lab in Week 7.
Precise details of all of these will be provided on the MyUni site for this course.
- All written assignments are to be e-submitted following the instructions on MyUni.
- Late assignments will not be accepted without a medical certificate.
- Written assignments will have a one week turn-around time for feedback to students.
- Online Maple TA assignments provide instantaneous feedback to students.
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 Access Adelaide.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:
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.
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- Student Life Counselling Support - Personal counselling for issues affecting study
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- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
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- Coursework Academic Programs Policy
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- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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