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ENGG9801: Engineering Computing (2020 - Semester 1)

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Unit: ENGG9801: Engineering Computing (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: Khushi, Matloob
Session options: Semester 1, Int January
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Prohibitions: ENGG5801 OR ENGG1801.
Brief Handbook Description: This unit introduces students to solving engineering problems using computers. Students learn how to organize data to present and understand it better using a spreadsheet (Excel), and also how to instruct the computer exactly what to do to solve complex problems using programming (Matlab). Real engineering examples, applications and case-studies are given, and students are required to think creatively and solve problems using computer tools.

Matlab will cover three-quarters of the unit. The remaining one-quarter will be devoted to the use of Excel in engineering scenarios. Furthermore, cross integration between Matlab and Excel will also be highlighted.

No programming experience is required or assumed. Students are assumed to have a basic understanding of mathematics and logic, and very elementary computing skills.
Assumed Knowledge: None.
Lecturer/s: Dr Chan, Jason
Tutor/s: Jason Chan

Karnik Aggarwal

Nasir Ahsan

Graeme Best

Will de Ferranti

Mathew Gardiner

Kelvin Hsu

Annie Kalinina

Rhys Kilian

Katherine Kwa

Michael Li

Ling Luo

Joe Nguyen

Kathryn Rendell

Marc Rigter

Amrit Sethi
Timetable: ENGG9801 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 2 13
2 Tutorial 2.00 1 12
3 Independent Study 8.00 1 13
T&L Activities: Tutorial: computer laboratory

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.

(8) Professional Effectiveness and Ethical Conduct (Level 1)
1. Employ good practices in developing MATLAB and EXCEL applications. Be aware of requirements for software benchmarking and validation.
(6) Communication and Inquiry/ Research (Level 1)
2. Develop a mini project report using ICT tools.
(5) Interdisciplinary, Inclusiveness, Influence (Level 1)
3. Examine digital images represented as matrices and operations on images abstracted as operations on matrices. Be aware of how imaging software products are based on matrix operations.
(3) Problem Solving and Inventiveness (Level 1)
4. Demonstrate ability to carry out simple matrix computations including matrix sum, product, dot product, calculating the determinant and elementary functions on matrix.
(4) Design (Level 1)
5. Evaluate data in Matlab from and in different formats and to interpret and process the data to obtain meaningful results. Able to plot data in 2 dimensions and use Matlab’s advanced 3-dimensional surface plots.
6. Identify the appropriate product for the particular class of engineering.
(1) Maths/ Science Methods and Tools (Level 1)
7. Reflect on basic concepts of computing such as abstraction, describing a solution of a problem as an algorithm and running Matlab programs. Ability to use MATLAB and EXCEL to model Engineering problems.
8. Demonstrate fundamental programming concepts such as flow of control, loops, functions and parameters passing. Able to use basic data structures such as arrays and structures of heterogeneous objects.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Lab Exercises No 5.00 Multiple Weeks 7, 8,
2 Lab Exam 1* No 5.00 Week 3 1, 7, 8,
3 Lab Exam 2* No 20.00 Week 8 4, 5, 7, 8,
4 Lab Exam 3* No 20.00 Week 13 3, 4, 5, 6, 7, 8,
5 Final Exam No 50.00 Exam Period 1, 3, 4, 5, 6, 7, 8,
Assessment Description: * indicates an assessment task which must be repeated if a student misses it due to special consideration

Lab Exercises: Programming tasks done in weekly computer labs

Lab Exams: Practical programing tests in computer labs

Final Exam: Paper-based, written exam
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: IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.

In assessing a piece of submitted work, the School of Computer Science may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

Other policies

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.
Online Course Content: www.it.usyd.edu.au/~engg1801

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/Tutorial: Introduction, Excel basics
Week 2 Lecture/Tutorial: Functions, Plotting, Solving equations, File I/O
Week 3 Lecture: Matrix algebra
Assessment Due: Lab Exam 1*
Week 4 Lecture/Tutorial: Matlab basics, If statements, Arrays
Week 5 Lecture/Tutorial: Loops
Week 6 Lecture/Tutorial: Functions
Week 7 Lecture/Tutorial: Functions (continued)
Week 8 Lecture: Text and File I/O, Character strings
Assessment Due: Lab Exam 2*
Week 9 Lecture/Tutorial: 2-D and 3-D plotting, Surface plots
Week 10 Lecture/Tutorial: Matrix algebra
Week 11 Lecture/Tutorial: Images, Movies
Week 12 Lecture/Tutorial: Interpolation and curve fitting
Week 13 Lecture/Tutorial: Help for the Final Exam
Assessment Due: Lab Exam 3*
Exam Period Assessment Due: Final Exam

Course Relations

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

Course Year(s) Offered
Master of Professional Engineering (Aerospace) 2015, 2016, 2017, 2018, 2019, 2020
Master of Professional Engineering (Biomedical) 2015, 2016, 2017, 2018, 2019, 2020
Master of Professional Engineering (Mechanical) 2015, 2016, 2017, 2018, 2019, 2020

Course Goals

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

Attribute Practiced Assessed
(7) Project and Team Skills (Level 1) No 0%
(8) Professional Effectiveness and Ethical Conduct (Level 1) No 7.65%
(6) Communication and Inquiry/ Research (Level 1) No 0%
(5) Interdisciplinary, Inclusiveness, Influence (Level 1) No 9.15%
(3) Problem Solving and Inventiveness (Level 1) No 16.15%
(4) Design (Level 1) No 25.29%
(1) Maths/ Science Methods and Tools (Level 1) No 41.79%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 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.