AERO5700: Space Engineering (Advanced) (2016 - Semester 2)
|Unit:||AERO5700: Space Engineering (Advanced) (6 CP)|
|Faculty/School:||School of Aerospace, Mechanical & Mechatronic Engineering|
Prof Sukkarieh, Salah
|Session options:||Semester 2|
|Versions for this Unit:|
|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.|
|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.|
Prof Sukkarieh, Salah
|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)
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.
|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 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|
The following is a list of courses which have added this Unit to their structure.
This unit contributes to the achievement of the following course goals:
|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.