MATHS 2106 - Differential Equations for Engineers II
North Terrace Campus - Semester 1 - 2020
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General Course Information
Course Details
Course Code MATHS 2106 Course Differential Equations for Engineers II Coordinating Unit Mathematical Sciences Term Semester 1 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 1012 and (ENG 1002 or ENG 1003 or COMP SCI 1012 or COMP SCI 1101 or COMP SCI 1102 or COMP SCI 1201 or MECH ENG 1100 or MECH ENG 1102 or MECH ENG 1103 or MECH ENG 1104 or MECH ENG 1105 or C&ENVENG 1012). Incompatible MATHS 2102, MATHS 2201 Restrictions Available to Bachelor of Engineering students only. Assessment Ongoing assessment, examination. 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 will be able to:- Derive mathematical models of physical systems.
- Present mathematical solutions in a concise and informative manner.
- Recognise ODEs that can be solved analytically and apply appropriate solution methods.
- Solve more difficult ODEs using power series.
- Know key properties of some special functions.
- Express functions using Fourier series.
- Solve certain ODEs and PDEs using Fourier and Laplace transforms.
- Solve problems numerically via the fast Fourier transform using Matlab.
- Solve standard PDEs (wave and heat equations) using appropriate methods.
- Evaluate and represent solutions of differential equations using Matlab.
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
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Learning Resources
Required Resources
Course notes will be available in electronic form on MyUni.Recommended Resources
Kreyszig, E., Advanced Engineering Mathematics, 10th edition, Wiley.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:
This course also makes use of online assessment software for mathematics called Mobius, which we use to provide students with instantaneous formative feedback. Further details about using Mobius will be provided on MyUni.
Students are also reminded that they need to check their University email on a daily basis. Sometimes important and time-critical 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
No information currently available.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Quantity Workload hours Lectures 34 68 Tutorials 11 22 Midsemester test 1 9 Written assignments 6 24 Online assignments 11 33 TOTALS 156 Learning Activities Summary
Lecture outline- Differential equations and applications
- Ordinary differential equations (ODEs), directional fields
- Separable, linear and exact first-order ODEs, substitution
- Existence and uniqueness of solutions of first-order ODEs
- Homogeneous ODEs, superposition, linear independence, Wronskian
- Reduction of order, constant-coefficient homogenous ODEs
- Modelling of mass-spring-dashpot systems, free oscillations
- Nonhomogeneous ODEs, method of undetermined coefficients
- Forced oscillations, electrical circuits
- Variation of parameters
- Systems of first-order ODEs and applications
- Constant-coefficient homogeneous linear systems of ODEs
- Variable-coefficient homogeneous ODEs, Euler-Cauchy equation, power series method
- Ordinary and singular points, Legendre's equation
- Frobenius method, Bessel's equation
- Bessel functions
- Laplace transform
- Inverse Laplace transform, partial fractions, s-shifting
- Laplace transform of derivatives, application to ODEs
- Convolution
- Unit step function, t-shifting, Dirac delta function
- Fourier series
- Complex form of Fourier series, energy spectrum, convergence
- Fourier sine and cosine series, half-range expansions
- Partial differential equations (PDEs), wave equation, D’Alembert’s solution
- Separation of variables in 1D
- Separation of variables in 2D
- Heat equation
- Laplace equation
- Laplace transform solution of PDEs
- Fourier transform, Fourier integral, Fourier sine and cosine transforms
- Fourier transform solution of PDEs
- Discrete Fourier transform
- Fast Fourier transform
Tutorials
Tutorials will be held each week, commencing from week 2. Tutorials cover material from the previous 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 Type Weighting Learning Outcomes Written assignments Formative and Summative 10 % All Mobius (online) assignments Formative and Summative 10 % All except 2 Tutorial participation Formative 5 % All Midsemester test Summative 10 % 1,2,3,4,5 Examination Summative 65 % All
Due to the current COVID-19 situation modified arrangements have been made to assessments to facilitate remote learning and teaching. Assessment details provided here reflect recent updates.
The new assessment for this course is:
Assignments 35% (Written 17.5%, Mobius 17.5%),
Midsemester Test 15%,
Online Exam 50%.Assessment Related Requirements
To pass the course the student must attain- an aggregate score of 50%, and
- an exam score of at least 45%.
Assessment Detail
Written assignments are due every fortnight. The first written assignment will be released in Week 2 and due in Week 4.
Mobius (online) assignments are due every week. The first Mobius assignment will be released in Week 2 and due in Week 4.
The midsemester test will be held in Week 8. Further details, including test dates, times and venues, will be provided by email and MyUni.Submission
Assignments must be submitted according to the policies and procedures published on the Differential Equations for Engineers II MyUni site.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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