MATHS 1012  Mathematics IB
North Terrace Campus  Summer  2018

General Course Information
Course Details
Course Code MATHS 1012 Course Mathematics IB Coordinating Unit School of Mathematical Sciences Term Summer 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 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 interrelationships 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 Staff
Course Coordinator: Dr Adrian Koerber
Course Timetable
The full timetable of all activities for this course can be accessed from Course Planner.
Classes begin on Tuesday the 3rd of January and conclude on Friday the 10th of February.
The Mid Semester Test will take place in the Labs on Monday 30th of January.
The final Exam will take place in the week Monday 13th  17th of February. Check the University's Examinations timetable closer to that week for precise details. 
Learning Outcomes
Course Learning Outcomes
On 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 problemsolving in context.
 Demonstrate an understanding of the role of proof in mathematics.
 Use appropriate technology to aid problemsolving.
 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
3,4,5,6 
Learning Resources
Required Resources
A set of Course Notes should be purchased from the Online Shop and picked up from the Image and Copy centre, Level 1 in the Hughes Building. Alternatively these will be available as a PDF on the MyUni site for this course. (More specific details will be provided on MyUni.)
Recommended Resources
 Poole, D., Linear Algebra: a Modern Introduction 4th edition (Cengage Learning)
 Stewart, J., Calculus 8th edition (metric version) (Cengage Learning)
Online 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 timecritical 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 Modes
This 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 practise techniques and develop their understanding of the material.
For additional support we also run a dropin service called First Year Maths Help on the ground floor of Ingkarni Wardli. In Summer this will be staffed with tutors at the following times:
Mondays 1112,
Tuesdays 23,
Thursdays 1112,
Fridays 23.Workload
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 Summary
Mathematics IB Summer is taught doubletime compared to Semester 1 or 2. The two topics of algebra and calculus detailed below are taught in parallel, with four lectures a week on each. There are two tutorials per week and two assignments per week, one each on algebra and calculus.
Lecture Outline
Algebra 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, GramSchmidt (4 lectures)
 Inner product and orthogonality.
 GramSchmidt process.
 Orthogonal projection.
 Ortogonal transformations and matrices.
 Eigenvalues, eigenvectors and diagonalisation (6 lectures)
 Application: Google PageRank.
 Eigenvalues and eigenvectors.
 Properties of eigenvalues.
 Diagonalisation.
 Symmetric matrices.
 Orthogonal diagonalisation.
 Singular value decomposition and applications (3 lectures)
Calculus
 Differential Equations (5 lectures)
 First order separable equations.
 Phase lines.
 First order linear equations.
 Euler and RungeKutta methods.
 Second order constant coefficient homogenous equations.
 Second order constant coefficient nonhomogenous 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.
Tutorial Outline
Tutorial 1: Algebra: Subspaces, linear independence. Row, column and null space. Calculus: First order DEs. Second order DEs.
Tutorial 2: Algebra: Rank theorem. Distance, angle and orthogonality. Orthogonality. GramSchmidt process, projections, linear transformations. Calculus: Logistic equation. Limits, Squeeze Theorem.
Tutorial 3: Algebra: Linear transformations: kernel, range, standard matrix. Composition of linear transformations, conic sections. Calculus: Limits, improper integrals. L'Hopital's rule. Discontinuities.
Tutorial 4: Algebra: Eigenvalues, eigenvectors, diagonalisation. Standard form for conics and quadrics. Calculus: Newton's Method. Intermediate Value Theorem. Maxmin problems. Mean Value Theorem.
Tutorial 5: Functions of 2 variables, limits and continuity. Limits, continuity, partial derivatives of functions of 2 variables. Mean Value Theorems, graph sketching. Taylor and Maclaurin polynomials.
Tutorial 6: Tangent planes to surfaces. Chain rule. Directional derivatives. Maximum rate of change. Classification of critical points. Series, convergence. Taylor and Maclaurin series.Note: precise tutorial content may vary due to the vagaries of public holidays.
 Revision: Bases, transpose and dimension (2 lectures)

Assessment
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 Summary
Assessment Task Task Type Weighting Learning Outcomes Assignments Formative 15% all Tutorial participation Formative 5% all Mid Semester Test Summative and Formative 10% 1,2,4,5 Examination Summative 70% 1,2,3,4,5,6,8 Assessment Related Requirements
An 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.Assessment Detail
Assessment item Distributed Due date Weighting Assignments 1 week 1 week 2 2.5% Assignments 2 week 2 week 3 2.5% Assignments 3 week 3 week 4 2.5% Assignments 4 week 4 week 5 2.5% Assignments 5 week 5 week 6 2.5% Assignments 6 week 6 week 7 2.5% Mid Semester Test week 5 10% Assignments 16 are made up of a written component, worth a total of 7.5%, and an online (Maple TA) component, worth 7.5%.
Calculus handin assignments will be due Mondays at 2:00pm in EM105.
Calculus Maple TA assignments will be due Mondays at 5:00pm.
Algebra handin assignments will be due Thursdays at 2:00pm in EM105.
Algebra Maple TA assignments will be due Thursdays at 5:00pm.
All assessment materials will be available via MyUni.Submission
 All written assignments are to be submitted at the designated time and place with a signed cover sheet attached.
 Late assignments will not be accepted without a medical certificate.
 Written assignments will have a one week turnaround time for feedback to students.
 Online Maple TA assignments provide instantaneous feedback to students.
Course Grading
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 149 Fail P 5064 Pass C 6574 Credit D 7584 Distinction HD 85100 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:
http://www.adelaide.edu.au/student/exams/modified/replacement/
In this course Additional (Academic) exams will be granted to those students who have obtained a final mark
of 40–49%. 
Student Feedback
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 ongoing 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.

Student Support
 Academic Support with Maths
 Academic Support with writing and speaking skills
 Student Life Counselling Support  Personal counselling for issues affecting study
 International Student Support
 AUU Student Care  Advocacy, confidential counselling, welfare support and advice
 Students with a Disability  Alternative academic arrangements
 Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
 LinkedIn Learning

Policies & Guidelines
This section contains links to relevant assessmentrelated policies and guidelines  all university policies.
 Academic Credit Arrangement Policy
 Academic Honesty Policy
 Academic Progress by Coursework Students Policy
 Assessment for Coursework Programs
 Copyright Compliance Policy
 Coursework Academic Programs Policy
 Elder Conservatorium of Music Noise Management Plan
 Intellectual Property Policy
 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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