ELEC ENG 7085 - Multisensor Data fusion
North Terrace Campus - Semester 1 - 2017
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General Course Information
Course Details
Course Code ELEC ENG 7085 Course Multisensor Data fusion Coordinating Unit School of Electrical & Electronic Engineering Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Online - 40 hours total for semester and 104 hours assignments and exam Available for Study Abroad and Exchange Y Prerequisites ELEC ENG 7071 Detection Estimation and Classification Incompatible SIP 7005 Multisensor & Data Fusion Assumed Knowledge Linear algebra (matrices), differential equations (linear systems) and complex analysis (Laplace transforms), probability theory and MATLAB Assessment 4 assignments 20% each, take home exam online 20% Course Staff
Course Coordinator: Samuel Davey
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
No information currently available.
University Graduate Attributes
No information currently available.
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Learning Resources
Required Resources
A set of course notes, and other supporting materials will also be available for downloading from the MyUni course web site.Recommended Resources
The following text books are not required but are a good source of additional information:
"Tracking and Data Fusion: A Handbook of Algorithms" , Y Bar-Shalom, P K Willett, and X Tian, 2011
"Design and Analysis of Modern Tracking Systems", S S Blackman and R Popoli, 1999
"Multitarget-multisensor tracking: principles and techniques", Y Bar-Shalom and X R Li, 1995Online Learning
Extensive use will be made of the MyUni web site for this course, -
Learning & Teaching Activities
Learning & Teaching Modes
This course relies on self directed learning. Resources will be provided to the students but there will be no formal lectures. The lecturer will be available to assist and informal tutorials may be scheduled as required.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Contact hours Workload hours Lecture 30 Tutorials 10 Homeworks 36 Exam 4 TOTALS 10 70 Learning Activities Summary
Activity Week Topic Lecture 1 Introduction, multi sensor fusion issues 2 Dynamic models 3 The Kalman Filter 4 The Extended Kalman Filter 5 The Particle Filter 6 Manoeuvring Targets 7 Data Association, Global Nearest Neighbours 8 Probabilistic Data Association 9 Joint Probabilistic Data Association 10 Track-to-track fusion 11 Covariance Intersection, Decentralised Fusion 12 Sensor Registration, Track Management 13 Further Topics Tutorial 3 Multi-sensor fusion, dynamic models, Kalman Filter 5 Extended Kalman Filter, Particle Filter 7 Manoeuvring Targets, Data Association, Global Nearest Neighbours 11 Probabilistic Data Association, JPDA, track-to-track fusion 13 CI, DDF, Registration, management, review -
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 activity Type Weighting Due date Learning outcomes addressed Homeworks Formative 80% Weeks 4 6 8 12 All Exam Summative - Hurdle 20% End of semester All Assessment Related Requirements
The examination is a hurdle requirement. It is necessary to achieve at least 40% in the exam. If this is not achieved, the total course mark will be limited to a maximum of 49.
A hurdle requirement is defined by the University's as "...an assessment task mandating a minimum level of performance as a condition of passing the course.
If a student fails to meet a hurdle requirement (normally no less than 40%),and is assigned a total mark for the course in the range of 45-49, then the student is entitled to an offer of additional assessment of some type. The type of assessment is to be decided by the School Assessment Review Committee when determining final results. The student’s final total mark will be entered at no more than 49% and the offer of an additional assessment will be specified eg. US01. Once the additional assessment has been completed, this mark will be included in the calculation of the total mark for the course and the better of the two results will apply. Note however that the maximum final result for a course in which a student has sat an additional assessment will be a “50 Pass”.
If a student is unable to meet a hurdle requirement related to an assessment piece (may be throughout semester or at semester’s end) due to medical or compassionate circumstances beyond their control, then the student is entitled to an offer of replacement assessment of some type. An interim result of RP will be entered for the student, and the student will be notified of the offer of a replacement assessment. Once the replacement assessment has been completed, the result of that assessment will be included in the calculation of the total mark for the course.Assessment Detail
Details of individual assessment tasks will be provided during the semester.Submission
All written submissions to formative assessment activities are to be submitted to designated boxes within the School of Electrical & Electronic Engineering by 3:00pm on the specified dated and must be accompanied by a signed cover sheet. Copies of blank cover sheets are available from the School office in Ingkarni Wardli 3.26.
No late submissions will be accepted. All formative assessments will have a two week turn-around time for provision of feedback to students.
Full details can be found at the School policies website:
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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