Course Coordinator:Aaron Wiegand (awiegand@usc.edu.au) School:School of Science, Technology and Engineering
UniSC Sunshine CoastUniSC Moreton Bay |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Please go to usc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
In this course, you will be introduced to the mathematical analysis of numerical problems such as those that are encountered in many disciplines, including the physical sciences and engineering. You will learn to select, configure and use suitable computational tools with appropriate numerical methods for integration and optimization, simulation techniques, applications of differential equations and presentation of data. You will also learn to use MATLAB in order to explore and apply the mathematical techniques taught in the learning materials.
Activity | Hours | Beginning Week | Frequency |
Blended learning | |||
Learning materials – Asynchronous learning materials | 2hrs | Week 1 | 13 times |
Tutorial/Workshop 1 – on - campus tutorial/workshop | 3hrs | Week 1 | 13 times |
Introduction. History. The need for numerical computation. N-digit arithmetic. Numerical error. Introduction to MATLAB. Taylor series. Errors of computation. Solving nonlinear equations: - Bisection - Fixed-point iteration - Newton’s method. Solving systems of linear equations: - Gaussian elimination with Partial pivoting - Decomposition methods (Matrix factorisation) (Doolittle, Choleski). Function approximation with Taylor polynomials. Interpolation: - Lagrange Polynomial - Divided differences - Finite differences. Numerical Differentiation. Numerical Integration: - Trapezoidal - Simpsons - Romberg. Solving ODEs - Euler - Modified Euler - Runge-Kutte.
200 Level (Developing)
12 units
Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Completing these tasks successfully will contribute to you becoming... | |
1 | Recall, explain and apply the theory, tools and techniques of topics related to numerical methods of analysis. |
Knowledgeable Empowered |
2 | Select and combine tools and techniques in numerical analysis to solve mathematical problems in mathematics and science. |
Creative and critical thinker Empowered |
3 | Comprehend and communicate concepts and techniques relevant to numerical analysis, using either written English or mathematical notations, as appropriate. |
Knowledgeable Empowered |
4 | Calculate and record results accurately and precisely. |
Knowledgeable Empowered |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
MTH202 or (MTH103 and MTH104)
Not applicable
MTH532 or MTH312
Matrix operations, Differential Calculus, Integral Calculus. Students entering MTH203 must have a strong knowledge and capability with arithmetic, exponents, logarithms, algebra and trigonometry. If students are uncertain in these topics, they are advised to undertake some self-directed study prior to the start of semester.
Standard Grading (GRD)
High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Online problems will be set for students to work on during the first few weeks, which will provide the students with revision, practice, and early feedback regarding their preparedness for the course. Students will attend weekly workshops, in which relevant problems are processed and solved step-by-step, under the guidance of the tutor. There is opportunity for questions and assistance. Students will also be provided with homework questions, which will allow them to practice and to determine for themselves if they fully understand that week's material.
Delivery mode | Task No. | Assessment Product | Individual or Group | Weighting % | What is the duration / length? | When should I submit? | Where should I submit it? |
All | 1 | Quiz/zes | Individual | 10% | Approx. 10 hours |
Refer to Format | Online Submission |
All | 2 | Quiz/zes | Individual | 50% | 0.5 hours each |
Throughout teaching period (refer to Format) | In Class |
All | 3 | Artefact - Technical and Scientific | Individual | 40% | 20 hours |
Week 12 | Online Submission |
All - Assessment Task 1:On-line Exercises | |
Goal: | These exercises will address the essential, foundation knowledge and skills which form the pre-requisite foundation for Numerical Analysis.These exercises will help you recall and practice using your foundation mathematical knowledge and techniques until you are fluent and accurate and provide immediate feedback regarding your general ability with many of the relevant mathematical techniques. |
Product: | Quiz/zes |
Format: | Submit: Weeks 1-4. As often as you like until the specified closing date. Individual students log into the online system and receive a unique set of questions. The exercise-sets will be composed of a range of questions or tasks that relate to the content that is foundational to Numerical Analysis.You will calculate the answers and submit these directly back into the web page. The submitted answers are marked immediately and the correct answers are shown.During the time over which the exercise-sets are available as assessment, you may submit as many attempts at each exercise-set as you wish. Some of the very basic exercise sets are time-limited. |
Criteria: |
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All - Assessment Task 2:Module Tests | |
Goal: | The course is identified as being composed of several "modules". The module tests encourage you to revise the course material on an on-going basis and gives you an opportunity to assess your learning progress against the learning outcomes of this course. These tests also give you valuable practice in learning to solve problems independently, and to communicate your reasoning and methods. |
Product: | Quiz/zes |
Format: | Individual. Closed-book. Mixed practical and theoretical written questions. These tests will be run in your scheduled tutorial class (workshop)(weeks 5,7,9,11,13). |
Criteria: |
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All - Assessment Task 3:Assignment | |
Goal: | This assessment task is designed to encourage you to revisit material from through the semester and to apply it to new sets of problems. This assignment will bring together many of the concepts and techniques in a single body of work, thus forming a 'capstone' assessment piece of the course's content. |
Product: | Artefact - Technical and Scientific |
Format: | Individual assignment. Hand-written mathematical working for solutions to problems are to be scanned to pdf, which must also include any relevant graphs and MATLAB programs which must be presented in Courier New (size 10). Standard assignment coversheet, signed by the student.The pdf must be uploaded to the Canvas submission area before the deadline. As there will be ample time to work on the assignment, and fully-worked examples of similar problems will have been seen through the semester, only the final answers will be rewarded with marks; however, all evidence of working and methods used must also be provided in the format specified, or a mark will not be awarded. Any evidence of collusion or plagiarism will result in heavy penalties and/or misconduct procedures. A comprehensive description of the requirements and criteria, against which the assignment will be assessed, will be provided at the time that this assessment item is issued. |
Criteria: |
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A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
In order to practice many of the exercises, you will need to have access to a computer with reasonable internet access. You will also have to download and install MATLAB (at no cost to you, instructions will be provided), or use MATLAB via USCanywhere. You may need to have capability of digitising (scanning) your written work to a pdf document, for submission of the assignment (information regarding this will be provided).
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
Your eligibility for supplementary assessment in a course is dependent of the following conditions applying: The final mark is in the percentage range 47% to 49.4% The course is graded using the Standard Grading scale You have not failed an assessment task in the course due to academic misconduct
Late submission of assessment tasks may be penalised at the following maximum rate: - 5% (of the assessment task's identified value) per day for the first two days from the date identified as the due date for the assessment task. - 10% (of the assessment task's identified value) for the third day - 20% (of the assessment task's identified value) for the fourth day and subsequent days up to and including seven days from the date identified as the due date for the assessment task. - A result of zero is awarded for an assessment task submitted after seven days from the date identified as the due date for the assessment task. Weekdays and weekends are included in the calculation of days late. To request an extension you must contact your course coordinator to negotiate an outcome.
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For help with course-specific advice, for example what information to include in your assessment, you should first contact your tutor, then your course coordinator, if needed.
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