ELEC ENG 7002 - Kalman Filtering & Applications
North Terrace Campus - Semester 1 - 2021
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General Course Information
Course Details
Course Code ELEC ENG 7002 Course Kalman Filtering & Applications Coordinating Unit School of Electrical & Electronic Engineering Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 42 hours Available for Study Abroad and Exchange Y Assumed Knowledge Linear algebra (matrices), probability theory, linear systems & MATLAB Assessment Details provided at start of Semester Course Staff
Course Coordinator: Professor Peng Shi
Email: peng.shi@adelaide.edu.au
Phone: 8313 6424Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course students will be able to:
1 Explain fundamental principles of Kalman filtering 2 Describe the properties and structure of Kalman filter 3 Design Kalman filters for simple practical cases 4 Discuss basic target tracking theory and its applications.
The above course learning outcomes are aligned with the Engineers Australia .
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.3 1.4 2.1 2.2 2.3 2.4
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)
1-4 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
1-4 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
1-4 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1-4 -
Learning Resources
Required Resources
There are no required resources; lecture notes will be available on the MyUni website.Recommended Resources
• A New Approach to Linear Filtering and Prediction Problems/ R. E. Kalman.
• Stochastic Models, Estimation, and Control/ P. S. Maybeck.
• An Introduction to the Kalman Filter/ G. Welch and G. Bishop
• Kalman Filtering with Its Real-Time Applications/ C. K. Chui and G. Chen
• Kalman Filtering: Theory and Application / edited by H.W. Sorenson.
• Kalman Filtering Techniques for Radar Tracking / K.V. Ramachandra.
• Optimal Filtering / B.D. O. Anderson, J.B. Moore.Online Learning
Extensive use will be made of the MyUni web site for this course,
Course notes, tutorial problems, project requirements, course schedule, group list and a practice exam will all be available for downloading from the website.
Tutorial solutions will NOT be available online
Where the lecture theatre facilities permit, audio or video recordings of lectures will also be available for downloading. -
Learning & Teaching Activities
Learning & Teaching Modes
No information currently available.
Workload
No information currently available.
Learning Activities Summary
No information currently available.
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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
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 specific due date for each assessment task will be available on MyUni.Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Assignment 1 25 Individual Formative Week 5 1. 2. 3. Assignment 2 25 Individual Formative Week 10 1. 2. 3. Exam 50 Individual Summative Week 14 Min 40% 1. 2. 3. 4. Total 100
This assessment breakdown is registered as an exemption to the University's . The exemption is related to the Procedures clause(s):
This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.
Note that the examination will be conducted without supervision. That is, you will be given the examination paper (electronic version) via MyUni at a given time, and you then return your answers paper by a given time.
Assessment Related Requirements
For this course, the minimum exam mark requirement is 40%.Assessment Detail
Each assignment will be counted 15% of the total score of this course.
The final exam will be counted 70% of the total score of this course.Submission
No information currently available.
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
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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