APP MTH 4122 - Optimal Functions and Nanomechanics - Honours
North Terrace Campus - Semester 2 - 2019
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General Course Information
Course Details
Course Code APP MTH 4122 Course Optimal Functions and Nanomechanics - Honours Coordinating Unit Mathematical Sciences Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 3 contact hours per week Available for Study Abroad and Exchange Prerequisites (MATHS 2101 or MATHS 2202) and (MATHS 2102 or MATHS 2201) Assumed Knowledge Basic computer programming skills such as would be obtained from COMP SCI 1012, 1101, MECH ENG 1100, 1102, 1103, 1104, 1105, C&ENVENG 1012 Restrictions Honours students only Assessment Ongoing assessment, Exam Course Staff
Course Coordinator: Dr Barry Cox
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
- Apply the calculus of variations to find optimal solutions to problems.
- Appreciate the derivation of many physical laws from variational principles.
- Express interaction calculations using hypergeometric and other special functions.
- Formulate models for nanoscale interactions.
- Find optimal solutions to variational problems both analytically and numerically, as appropriate.
- Explain of the role of applied mathematics in interdisciplinary research.
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
1-5 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
3,6 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
2,6 -
Learning Resources
Required Resources
None.Recommended Resources
Students may wish to consult any of the following books, available in the Library.
- Calculus of variations / by L. E. Elsgolc
- Calculus of variations / by I. M. Gelfand and S. V. Fomin
- The calculus of variations / by Bruce van Brunt
- Calculus of variations / by J. W. Craggs
- Calculus of variations : with applications to physics and engineering / by Robert Weinstock
- Lectures on the calculus of variations / by Gilbert A. Bliss
- Problems and exercises in the calculus of variations / by M.L. Krasnov, G.I. Makarenko, A.I. Kiselev
Online Learning
Assignments, tutorial exercises, handouts, and course announcements will be posted on MyUni.
- Advanced Engineering Analysis : The Calculus of Variations and Functional Analysis with Applications in Mechanics / by Leonid P. Lebedev, Michael J Cloud and Victor A Eremeyev
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Learning & Teaching Activities
Learning & Teaching Modes
The lecturer guides the students through the course material in 30 lectures. Students are expected to engage with the material in the lectures. Interaction with the lecturer and discussion of any difficulties that arise during the lecture is encouraged. Students are expected to attend all lectures, but lectures will be recorded to help with occasional absences and for revision purposes. In fortnightly tutorials students present their solutions to assigned exercises and discuss them with the lecturer and each other. Fortnightly homework assignments help students strengthen their understanding of the theory and their skills in applying it, and allow them to gauge their progress.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Quantity Workload Hours Lectures 30 90 Tutorials 6 18 Assignments 6 48 Total 156 Learning Activities Summary
Tutorials at end of Weeks 2, 4, 6, 8, 10 and 12 will cover the material of the previous five lectures.Week 1 Background Introduction - Extrema - Vector Calculus refresher Week 2 Fundamental Euler-Lagrange equations - Autonomous systems Week 3 Fundamental More autonomous - Geodesics - Invariance Week 4 Extension Higher order derivatives - Special functions Week 5 Extension / Nanomechanics Several dependent variables - Van der Waals forces - Interaction potentials Week 6 Nanomechanics Hypergeometric functions - Nanotube oscillators Week 7 Extension Several independent variables - Numerical solutions - Ritz method Week 8 Fundamental Lagrange multipliers - Isoperimetric problems Week 9 Fundamental Multiple integral constraints - Natural boundary conditions - Curvature and the elastica Week 10 Nanomechanics Join regions for carbon nanostructures - Free endpoints - AFM cantilever Week 11 Extension Traversals - Broken extremals - Hamiltonian formulation Week 12 Extension Conservation laws - Classifying extrema -
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
Task Type Due Weighting Learning Outcomes Examination Summative Examination Period 70 % All Assignments Formative and Summative Weeks 2, 4, 6, 8, 10 and 12 30 % All Assessment Related Requirements
An aggregate score of 50% is required to pass the course.Assessment Detail
Assessment Detail Task Set Due Weighting Assignment 1 Week 1 Week 2 5 % Assignment 2 Week 3 Week 4 5 % Assignment 3 Week 5 Week 6 5 % Assignment 4 Week 7 Week 8 5 % Assignment 5 Week 9 Week 10 5 % Assignment 6 Week 11 Week 12 5 % Submission
Homework assignments must be submitted on time with a signed assessment cover sheet. Late assignments will not be accepted. Assignments will be returned within two weeks. Students may be excused from an assignment for medical or compassionate reasons. Documentation is required and the lecturer must be notified as soon as possible.Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M11 (Honours Mark Scheme) Grade Grade reflects following criteria for allocation of grade Reported on Official Transcript Fail A mark between 1-49 F Third Class A mark between 50-59 3 Second Class Div B A mark between 60-69 2B Second Class Div A A mark between 70-79 2A First Class A mark between 80-100 1 Result Pending An interim result RP Continuing Continuing CN 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
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.
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