MATHS 2202 - Engineering Mathematics IIB
North Terrace Campus - Semester 2 - 2016
General Course Information
Course Code MATHS 2202 Course Engineering Mathematics IIB Coordinating Unit School of 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 Course Description This course provides an introduction to vector analysis and complex calculus, which is relevant to physics and engineering problems in two or more dimensions, such as solid and fluid mechanics, electromagnetism and thermodynamics. The course also introduces Laplace transform methods for solving differential equations, which have application to engineering problems such as circuit analysis and control.
Topics covered are: Vector calculus: vector fields; gradient, divergence and curl; line, surface and volume integrals; integral theorems of Green, Gauss and Stokes with applications; orthogonal curvilinear coordinates. Complex analysis: elementary functions of a complex variable; complex differentiation; complex contour integrals; Laurent series; residue theorem. Laplace transforms: transforms of derivatives and integrals; shifting theorems; convolution; applications to differential equations.
Course Coordinator: Dr Trent Mattner
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesStudents 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) 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
Recommended ResourcesAdvanced Engineering Mathematics, 9th edition by E. Kreyszig, Wiley, 2006.
Online LearningThis 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:
Learning & Teaching Activities
Learning & Teaching ModesThis 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.
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 SummaryLecture 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
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
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 variables
Specific Course RequirementsNone.
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.
Component Weighting Objective Assessed Assignments 30% All Exam 70% All
Assessment Related Requirements1. Aggregate score of at least 50%.
2. Exam score of at least 45%.
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%
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.
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.
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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