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AERO5700: Space Engineering (Advanced) (2014 - 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: None.
Brief Handbook Description: Planetary observation using robotics and intelligents systems will grow in importance over the next decade. These systems can take the form of either intelligent spacecraft, robotic air vehicles or planetary rovers. In this subject we will study a wide range of robotic spacecraft systems that are used for planetary observation and focus on their specifications as well as their internal systems. From a practical perspective will be working hands on with the Mars Rover developed at the University of Sydney to study the various intelligent components and how they come together.
Assumed Knowledge: AERO3760.
Lecturer/s: Dr Goktogan, Ali
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 Intro to Mars Lab

Week 3 Lecture: Planetary Rovers Robotic Lunar and Mars Rover Platforms

Week 4 Lecture: Mars Rover Subsystems

Week 5 Lecture: Mars Rover Kinematics

Week 6 Lecture: Traversability and Path Planning

Week 7 Lecture: Communication Subsystem of the Experimental Mars Rover (EMR)-Mawson

Week 8 Lecture: Communication Subsystem of the Experimental Mars Rover (EMR)-Mawson

Week 9 Lecture: Smart Actuators on EMR-Mawson

Week 10 Lecture: Smart Actuators on EMR-Mawson

Week 11 Lecture: Visual Target Tracking Using EMR-Mawson

Week 12 Lecture: Visual Target Tracking Using EMR-Mawson

Week 13 Lecture: Presentation of Students Works at Mars Lab

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 Yes 40.00 Week 13 1, 2, 3, 4, 6,
Assessment Description: Assignment 1 will focus on space rover mission design.

Assignment 2 will focus on application of navigation and control applied to a planetary rover.

Assignment 3 will focus on integrating the elements of navigation and control in order to meet mission requirements.
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.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.

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: Mars Rover Systems
Week 4 Lecture: Mars Rover Systems
Assessment Due: Assignment 1
Week 5 Lecture: Mars Rover Systems
Week 6 Lecture: Mars Rover Systems
Week 7 Lecture: Mars Rover Systems
Week 8 Lecture: Mars Rover Systems
Assessment Due: Assignment 2
Week 9 Lecture: Mars Rover Systems
Week 10 Lecture: Mars Rover Systems
Week 11 Lecture: Future Space Robotic Systems
Week 12 Lecture: Future Space Robotic Systems
Week 13 Lecture: Future Space Robotic Systems
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) 2013, 2014, 2015
Aeronautical Engineering (Space) / Science 2014
Aeronautical Engineering (Space) / Law 2014
Aeronautical (Space) / Commerce 2015
Aeronautical (Space) / Science 2015
Aeronautical (Space) / Law 2015
Mechatronic (Space) 2015, 2014
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 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

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.