AERO5700: Space Engineering (Advanced) (2016 - Semester 2)

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Unit: AERO5700: Space Engineering (Advanced) (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Aerospace, Mechanical & Mechatronic Engineering
Unit Coordinator/s: Prof Sukkarieh, Salah
Session options: Semester 2
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: AERO4701.
Brief Handbook Description: Estimation techniques are applied to a wide range of aerospace systems. In this subject optimal estimation techniques will be presented as a collection of algorithms and their implementation.
Assumed Knowledge: AERO3760.
Additional Notes: Department permission is required for this unit. This course does not run every year. Contact the program director Salah Sukkarieh to find out if this course will be offered.
Department Permission Department permission is required for enrollment in this session.
Lecturer/s: Prof Sukkarieh, Salah
Timetable: AERO5700 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 2.00 1 13
T&L Activities: Week Topics/ Activities

Week 1 Lecture: Introduction

Week 2 Lecture: Unit of Study Outline and Details of Course outline.

Week 3 Lecture: Sensors and Estimation

Week 4 Lecture: Sensors and Estimation

Week 5 Lecture: Sensors and Estimation

Week 6 Lecture: Optimal Estimation Techniques

Week 7 Lecture: Optimal Estimation Techniques

Week 8 Lecture: Optimal Estimation Techniques

Week 9 Lecture: Optimal Estimation Techniques

Week 10 Lecture: Optimal Estimation Techniques

Week 11 Lecture: Optimal Estimation Techniques

Week 12 Lecture: Optimal Estimation Techniques

Week 13 Lecture: Optimal Estimation Techniques

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Students will work on implementing solutions to estimation tasks involving the design of different algorithms and sensor systems. Design (Level 4)
Students will apply estimation and design theory to a number of key problems in aerospace engineering such as global positioning systems, satellite attitude and orbit determination systems and satellite remote sensing and mapping. Engineering/IT Specialisation (Level 5)
Students will develop an expertise in the fundamental principles and applications of estimation methods including the use of linear and non-linear least squares approximations for various engineering tasks. Maths/Science Methods and Tools (Level 5)
Students will be required to conduct their own literature search in studying past solutions to example problems and draw upon this knowledge during their own design process. Information Seeking (Level 4)
The stduents will develop ability to communiate their findings and design via verbal presentation and written reports. Communication (Level 3)
The students will develop ability to critically reflect on professional context issues in undertaking well-defined individual and team responsibilities Professional Conduct (Level 3)
The students will develop project management skills to undertake the defined project activities. Project and Team Skills (Level 3)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Engineering/IT Specialisation (Level 5)
1. The ability to recognize and appreciate the coupling between the different elements within an estimation task, such as satellite remote sensing, from a systems-theoretic perspective.
Design (Level 4)
2. The ability to use this system knowledge and basic design principles to design and test a solution to a given estimation task, with a focus on aerospace applications (such as satellite remote sensing).
Maths/Science Methods and Tools (Level 5)
3. The ability to apply learned techniques in estimation theory to solving a wide range of different problems in engineering.
Information Seeking (Level 4)
4. Students will conduct their own literature search in studying past solutions to example problems and draw upon this knowledge during their own design process.
Communication (Level 3)
5. The stduents will develop ability to communiate their findings and design via verbal presentation and written reports.
Project and Team Skills (Level 3)
6. The students will develop project management skills to undertake the defined project activities.
Professional Conduct (Level 3)
7. The students will develop ability to critically reflect on professional context issues in undertaking well-defined individual and team responsibilities
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Assignment 1 No 30.00 Week 4 1, 2, 3, 5, 6, 7,
2 Assignment 2 No 30.00 Week 8 1, 2, 3, 4, 5, 6,
3 Assignmnet 3 No 40.00 Week 13 1, 2, 3, 4, 6,
Assessment Description: Assignment 1 will focus on sensor selection and estimation.

Assignment 2 will focus on optimal estimation techniques applied to aerospace systems.

Assignment 3 will focus on optimal estimation techniques applied to aerospace systems.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Lecture: Intro
Week 2 Lecture: Avionic and Spacionic Systems
Week 3 Lecture: Avionic and Spacionic Systems
Week 4 Lecture: Avionic and Spacionic Systems
Assessment Due: Assignment 1
Week 5 Lecture: Avionic and Spacionic Systems
Week 6 Lecture: Optimal Estimation Techniques
Week 7 Lecture: Optimal Estimation Techniques
Week 8 Lecture: Optimal Estimation Techniques
Assessment Due: Assignment 2
Week 9 Lecture: Optimal Estimation Techniques
Week 10 Lecture: Optimal Estimation Techniques
Week 11 Lecture: Optimal Estimation Techniques
Week 12 Lecture: Optimal Estimation Techniques
Week 13 Lecture: Optimal Estimation Techniques
Assessment Due: Assignmnet 3

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Aeronautical Engineering (Space) / Commerce 2014
Aeronautical (Space) (till 2014) 2013, 2014
Aeronautical Engineering (Space) / Science 2014
Aeronautical Engineering (Space) / Law 2014
Aeronautical Mid-Year 2016
Aeronautical 2016
Aeronautical (Space) 2015
Aeronautical (Space) / Commerce 2015
Aeronautical (Space) / Science 2015
Aeronautical (Space) / Law 2015
Mechatronic (Space) 2015
Mechatronic (Space) / Arts 2015
Mechatronic (Space) / Commerce 2015
Mechatronic (Space) / Medical Science 2015
Mechatronic (Space) / Project Management 2015
Mechatronic (Space) / Science 2015
Mechatronic (Space) / Law 2015
Mechatronic (Space) (till 2014) 2014
Mechatronic Engineering (Space) / Arts 2014
Mechatronic Engineering (Space) / Commerce 2014
Mechatronic Engineering (Space) / Medical Science 2014
Mechatronic Engineering (Space) / Project Management 2014
Mechatronic Engineering (Space) / Science 2014
Mechatronic Engineering (Space) / Law 2014
Master of Professional Engineering (Aerospace) 2013, 2014, 2015, 2016
Aeronautical / Arts 2016
Aeronautical / Commerce 2016
Aeronautical / Medical Science 2016
Aeronautical / Music Studies 2016
Aeronautical / Project Management 2016
Aeronautical / Science 2016
Aeronautical / Law 2016
Mechanical Mid-Year 2016
Mechanical 2016, 2017
Mechanical / Arts 2016
Mechanical / Commerce 2016, 2017
Mechanical / Medical Science 2016
Mechanical / Music Studies 2016
Mechanical / Project Management 2016
Mechanical / Science 2016, 2017
Mechanical / Law 2016
Mechatronic Mid-Year 2016
Mechatronic 2016
Mechatronic / Arts 2016
Mechatronic / Commerce 2016
Mechatronic / Medical Science 2016
Mechatronic / Music Studies 2016
Mechatronic / Project Management 2016
Mechatronic / Science 2016
Mechatronic / Law 2016

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Engineering/IT Specialisation (Level 5) Yes 25%
Design (Level 4) Yes 22.5%
Maths/Science Methods and Tools (Level 5) Yes 26.5%
Information Seeking (Level 4) Yes 7%
Communication (Level 3) Yes 6%
Project and Team Skills (Level 3) Yes 10%
Professional Conduct (Level 3) Yes 3%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.