ELEC ENG 7071 - Detection, Estimation & Classification
North Terrace Campus - Semester 1 - 2014
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General Course Information
Course Details
Course Code ELEC ENG 7071 Course Detection, Estimation & Classification Coordinating Unit School of Electrical & Electronic Engineering Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 3 hours per week Assumed Knowledge Undergraduate signal processing, random processes & statistics Assessment Final exam, 3 assignments Course Staff
Course Coordinator: Professor Lang White
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
After successful completion of the course, students should be able to formulate detection and parameter estimation problems using statistical signal models. In special cases, closed form
solutions may be found, but students will also be able to solve more complicated problems numerically. Students will also understand how to characterise system performance both analytically, and by use of simulations.
This course has a strong emphasis on the development of fundamental concepts and techniques which should equip students with the ability to successfully deal with a large number of detection,
estimation and classification problems which arise in practice.
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) Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. Yes The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. Yes An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. Yes Skills of a high order in interpersonal understanding, teamwork and communication. N/A A proficiency in the appropriate use of contemporary technologies. Yes A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. Yes A commitment to the highest standards of professional endeavour and the ability to take a leadership role in the community. Yes An awareness of ethical, social and cultural issues within a global context and their importance in the exercise of professional skills and responsibilities. N/A -
Learning Resources
Recommended Resources
Reference books :
There are a large number of texts, as well as web resources that students can use for this
course. Note that different authors use different approaches and notation to
similar problems. I use my own approaches and notation, however students should
be able to reconcile any differences encountered. Useful books include the
following :
A. Papoulis, Probability, Random Variables and Stochastic Processes, McGraw-Hill, second edition,
1984.
H. V. Poor, An Introduction to Signal Detection and Estimation, Springer-Verlag, second
edition, 1984.
Online Learning
Course notes and copies of the lecture slides will be provided via MyUni.
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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.
There will be a weekly 3 hour session divided between lectures and tutorial. Student interaction is encouraged. There will be two class tests to allow students to assess their progress. There will be a matlab based assignment to support and develop students' ability to apply techniques from lectures to an important practical problem.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
A 2 hour open book examination held in June worth 50%.
An assignment worth 20%. The assignment will be available week 4, and will be due at the end
of week 10.
Two class tests, each worth 15%. These will be held in weeks 5 and 9. The tests will be marked and returned before the end of semester.
Assessment Related Requirements
The exam is a hurdle requirement. Students must obtain at least 40% for the final exam in order to pass the subject. The usual requirements concerning supplementary assessment opportunities apply.Assessment Detail
No information currently available.
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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