MAT 3102 Advanced Engineering Mathematics A

SubjectCat-NbrClassTermModeDescriptionUnitsCampus
MAT3102244002, 2003EXTAdvanced Engineering Mathematics A1.00TWMBA
Academic Group:FOSCI
Academic Org:FOS003
HECS Band:2
ASCED Code:010101

Contents


STAFFING:

Examiner: Sergey Suslov
Moderator: Chris Harman



PRE-REQUISITES:

Pre-requisite: STA2300 and CSC2403 or ENG3103 or ENG4104


SYNOPSIS:

This course comprises five modules. Each student must complete modules 1, 2, and 3, and either module 4 or module 5. The modules are: 1. the numerical solution of partial differential equations. 2. the modelling of random processes: queues, multi-state devices and birth/death systems. 3. time series analysis and forecasting. 4. geometric insight into high dimensional engineering problems. 5. numerical methods in engineering and science: multigrid and finite element methods.


OBJECTIVES:

To develop an awareness of the way in which mathematics is used to solve engineering problems. To gain a proficiency in applying mathematics to engineering problems. The following specific objectives relate to individual numbered parts; students should be able to:

  • form discrete formulations of elliptic, parabolic and hyperbolic partial differential equations and solve them computationally; apply numerical techniques to the modelling and solution of problems in engineering;

  • understand random processes of various types including discrete time Markov chains, the Poisson process and birth/death process; apply Markov queue techniques to engineering problems;

  • demonstrate understanding and application of various time series and forecasting techniques;

  • view as geometric vector transformations large scale engineering processes such as image compression and recognition, filtering and Fourier transformation;

  • understand and use multigrid, finite element and weighted residual methods.



    • TOPICS:


    DescriptionWeighting (%)
    1. Students will study Topics 1, 2 and 3 and their own choice of one of Topics 4 and 5: Topic 5 has a lot to offer Civil and Mechanical Engineers; whereas Topic 4 is particularly valuable to Electrical Engineers. It supports the analysis typically needed in Mechatronics and Control.

    1.1. Topic 1 Numerical Partial Differential Equations - the Poisson equation - iterative methods - boundary conditions - parabolic and hyperbolic systems, stability of numerical methods
    		 25.00
    2. Topic 2 Stochastic Processes Modelling - discrete time Markov chains - the Poisson process - birth and death processes - Markov queues and applications
    		 25.00
    3. Topic 3 Time Series and Forecasting - nonstationary models (ARIMA) - model identification - Box Jenkins forecasting methods - z transforms - applications
    		 25.00
    4. Topic 4 Geometric Approach to High Dimensional Engineering Problems 25% - the rogues gallery problem - principal components and singular value decomposition - image classification, reconstruction and compression - vectors spaces - Fourier series, DFT, convolution, avoiding noise OR

    4.1. Topic 5 Advanced Numerical Methods 25% - multigrid methods for PDE's - finite element methods - weighted residuals
    		 25.00

    TEXT and MATERIALS required to be PURCHASED or accessed:

    Books can be ordered by fax or telephone. For costs and further details use the 'Book Search' facility at http://bookshop.usq.edu.au by entering the author or title of the text.

    Department of Mathematics and Computing CDROM SET 1, S2, 2003 (available from the USQ Bookshop). This CD set contains course material, Windows and Linux Software for this and various other courses. For more information about the CD sets and their use, please refer to http://www.sci.usq.edu.au/cdrom.




    REFERENCE MATERIALS:

    Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.

    Some electronic resources for this course may be available via its home page: http://www.sci.usq.edu.au/courses/MAT3102

    Box, G.E.P., Jenkins, G.M, & Reinsel, G.C. 1994, Time Series Analysis Forecasting and Control, 3rd edition, Prentice Hall, Englewood Cliffs, New Jersey.

    Greenberg, M.D 1998, Advanced Engineering Mathematics, 2nd edition, Prentice Hall, Upper Saddle River.

    Jain, P.K., Ahuja, O.P. & Ahmed, K 1995, Functional Analysis, John Wiley & Sons, New York.

    Kreyszig, E 1999, Advanced Engineering Mathematics, 8th edition, Wiley, New York.

    Makridakis, S. & Wheelwright, S.C 1989, Forecasting Methods for Management, 5th edition, Wiley & Sons, New York.

    Mehdi, J 1994, Stochastic Processes, John Wiley & Sons, New York.

    Naylor, A.W. & Sell, G.R 1971, Linear Operator Theory in Engineering and Science, Holt, Rinehart and Winston, New York.

    Oden, J.T. & Demkowicz, L.S 1996, Applied Functional Analysis, CRC, Boca Raton.

    Papoulis, A 1991, Probability, Random Variables and Stochastic Processes, 3rd edition, McGraw Hill, New York.

    Solomon, F 1987, Probability and Stochastic Processes, Prentice Hall, Englewood Cliffs.




    STUDENT WORKLOAD REQUIREMENTS:

    ACTIVITYHOURS
    Assessment25
    Examinations3
    Private Study140


    ASSESSMENT DETAILS:

    DescriptionMarks Out ofWtg(%)RequiredDue Date
    ASSIGNMENT 110.0010.00Y29 Aug 2003
    ASSIGNMENT 210.0010.00Y12 Sep 2003
    ASSIGNMENT 310.0010.00Y24 Oct 2003
    ASSIGNMENT 410.0010.00Y24 Oct 2003
    3 HOUR OPEN EXAMINATION60.0060.00YEND S2(see note )
    NOTES:
    .
    Examination dates will be available during the Semester. Please refer to Examination timetable when published.

    IMPORTANT ASSESSMENT INFORMATION

    1. Attendance requirements:
      There are no attendance requirements for this course. However, it is the students' responsibility to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.
    2. Requirements for students to complete each assessment item satisfactorily:
      To complete each of the assessment items satisfactorily, students must obtain at least 50% of the marks available for each assessment item.
    3. Penalties for late submission of required work:
      If students submit assignments after the due date without prior approval then a penalty of 20% of the total marks gained by the student for the assignment will apply for each working day late.
    4. Requirements for student to be awarded a passing grade in the course:
      To be assured of receiving a passing grade a student must attempt all of the summative assessment items, achieve at least 50% in the examination, achieve an aggregated mark of at least 50% in the total marks allocated for the assignments, and at least 50% of the available weighted marks for the summative assessment items.
    5. Method used to combine assessment results to attain final grade:
      The final grades for students will be assigned on the basis of the aggregate of the weighted marks obtained for each of the summative assessment items in the course.
    6. Examination information:
      In an Open Examination, candidates may have access to any material during the examination except the following: electronic communication devices, bulky materials, devices requiring mains power and material likely to disturb other students
    7. Examination period when Deferred/Supplementary examinations will be held:
      Any Deferred or Supplementary examinations for this course will be held during the next examination period.
    8. University Regulations:
      Students should read USQ Regulations 5.1 Definitions, 5.6. Assessment, and 5.10 Academic Misconduct for further information and to avoid actions which might contravene University Regulations. These regulations can be found at the URL http://www.usq.edu.au/SECARIAT/calendar/Part5/ or in the printed version of the current USQ Handbook.

    ASSESSMENT NOTES

    9.Students must retain a copy of each item submitted for assessment. If requested, students will be required to provide a copy of assignments submitted for assessment purposes. Such copies should be despatched to USQ within 24 hours of receipt of a request being made. The due date for an assignment is the date by which a student must despatch the assignment to the USQ. The onus is on the student to provide proof of the despatch date, if requested by the Examiner. The examiner may grant an extension of the due date of an assignment in extenuating circumstances. The Faculty will normally only accept assessments that have been written, typed or printed on paper-based media. The Faculty will NOT accept submission of assignments by facsimile. Students who do not have regular access to postal services or who are otherwise disadvantaged by these regulations may be given special consideration. They should contact the examiner of the course to negotiate such special arrangements. In the event that a due date for an assignment falls on a local public holiday in their area, such as a Show holiday, the due date for the assignment will be the next day. Students are to note on the assignment cover the date of the public holiday for the Examiner's convenience. Students who, for medical, family/personal, or employment-related reasons, are unable to complete an assignment or to sit for an examination at the scheduled time may apply to defer an assessment in a course. Such a request must be accompanied by appropriate supporting documentation. One of the following temporary grades may be awarded IDS (Incomplete - Deferred Examination; IDM (Incomplete Deferred Make-up); IDB (Incomplete - Both Deferred Examination and Deferred Make-up).