MATHS 2202 - Engineering Mathematics IIB
North Terrace Campus - Semester 2 - 2015
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General Course Information
Course Details
Course Code MATHS 2202 Course Engineering Mathematics IIB Coordinating Unit Mathematical Sciences Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 3.5 hours per week Available for Study Abroad and Exchange Y Prerequisites MATHS 1012 Incompatible MATHS 2101 Assumed Knowledge MATHS 2201 Restrictions Available to BE students only Assessment ongoing assessment 30%, exam 70% Course Staff
Course Coordinator: Dr Trent Mattner
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
Students who successfully complete the course should be able to:- calculate Laplace transforms and inverses,
- apply Laplace transforms to solution of differential and integral equations,
- explain the physical significance of vector calculus,
- parameterise curves and calculate line integrals,
- use vector operators,
- calculate double and triple integrals and surface integrals,
- apply the Green's, Stokes and Divergence theorems,
- calculate complex integrals,
- use the Cauchy Riemann equations, Cauchy's integral theorem and formula, and the residue theorem.
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) Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. all The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 2,6,7,9 An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 2,4,6,7,8,9 Skills of a high order in interpersonal understanding, teamwork and communication. 3 A proficiency in the appropriate use of contemporary technologies. 1,4,5,6,7,8,9 A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. all -
Learning Resources
Required Resources
None.Recommended Resources
Advanced Engineering Mathematics, 9th edition by E. Kreyszig, Wiley, 2006.Online Learning
This course uses MyUni exclusively for providing electronic resources, such as lecture notes, assignment papers, sample solutions, discussion boards, etc. It is recommended that students make appropriate use of these resources.
Link to MyUni login page:
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Learning & Teaching Activities
Learning & Teaching Modes
This course relies on lectures as the primary delivery mechanism for the material. Tutorials supplement the lectures by providing exercises and example problems to enhance the understanding obtained through lectures. A sequence of written assignments provides assessment opportunities for students to gauge their progress and understanding.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Quantity Workload hours Lecture 36 90 Tutorials 11 22 Assignments 6 48 TOTALS 160 Learning Activities Summary
Lecture Outline
1. Laplace transforms: introduction, definition
2. Linearity, partial fractions
3. LT of derivatives, application to ODEs, s-shifting
4. Completing the square, LT of integral, t-shifting
5. Shifting theorem examples, dirac delta function
6. Convolution, convolution theorem
7. Differentiation/Integration of transform
8. Integral equations, periodic functions
9. Application to PDEs
10. Vector calculus: Vector revision
11. Vector/scalar fields, vector differentiation, parametrised curves
12. Tangent vectors and arclength
13. Chain rule for partial derivatives, gradient
14. Directional derivative, tangent plane, conservative vector fields
15. Divergence, Laplacian
16. Curl
17. Line integrals
18. Path independence
19. Double integrals
20. Double integrals in other coordinates
21. Surface integrals
22. Flux and volume integrals
23. Green's theorem, Divergence theorem
24. Stokes theorem
25. Orthogonal curvilinear coordinates
26. Complex analysis: Complex numbers revision
27. Complex roots, analytic functions
28. Cauchy-Riemann equations
29. Common complex functions, complex logarithm, complex powers
30. Complex line integrals
31. Cauchy's integral theorem, Cauchy's integral formula
32. Derivatives of analytic functions, Taylor series
33. Laurent series, Laurent's theorem
34. Poles and residues
35. Residue theorem
Tutorial Outline
1. No tutorial in Week 1
2. Laplace transforms
3. Laplace transforms
4. Laplace transforms
5. Vector calculus
6. Vector calculus
7. Vector calculus
8. Vector calculus
9. Vector calculus
10. Complex variables
11. Complex variables
12. Complex variablesSpecific Course Requirements
None. -
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
Component Weighting Objective Assessed Assignments 30% All Exam 70% All Assessment Related Requirements
1. Aggregate score of at least 50%.
2. Exam score of at least 45%.Assessment Detail
Assessment Item Distributed Due Date Weighting Assignment 1 week 2 week 3 5% Assignment 2 week 4 week 5 5% Assignment 3 week 6 week 7 5% Assignment 4 week 8 week 9 5% Assignment 5 week 10 week 11 5% Assignment 6 week 12 week 13 5% Submission
All written assignments are to be submitted to the designated hand-in boxes within the School of Mathematical Sciences with a signed cover sheet attached.
Late assignments will not be accepted.
Assignments will have a one week turn-around time for 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 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 .
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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 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 Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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Fraud Awareness
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