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ENGG1801: Engineering Computing (2014 - Summer Late)

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Unit: ENGG1801: Engineering Computing (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Junior
Faculty/School: School of Information Technologies
Unit Coordinator/s: Dr Chan, Jason
Session options: Semester 1, Summer Late
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: The unit will introduce students to fundamental principles of programming. The language used will be Matlab but the principles taught are readily portable to other languages like C and Java. The unit material will be presented in a manner which will help students to draw a connection between programming constructs and real engineering applications. The unit will use engineering inspired case-studies : especially from Civil, Chemical, Aerospace and Mechanical streams, to motivate new material. There will be a major project which uses programming to solve a real world engineering problem. The extensive Matlab library for visualization will also be introduced. Matlab will cover two-thirds of the unit. The remaining one-third will be devoted to the use of Excel in engineering scenarios. Furthermore, cross integration between Matlab and Excel will also be highlighted.
Assumed Knowledge: None.
Lecturer/s: Dr Chan, Jason
Tutor/s: Jason Chan

Hao Chen

Jen Jen Chung

Manaal Fatima

Jiro Funamoto

Ken Ho

Kelvin Hsu

Angela Lui

Ling Luo

Mohsen Masoudian

Ingrid McCarroll

Shabnam Shayan
Timetable: ENGG1801 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

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
The ability to comprehend a problem and translate it, using modelling skills into a set of logical program steps. Design (Level 1)
Examples from Science and Engineering disciplines will be used. Methods of analysing specific problems in Civil, Aeronautical, Mechanical,Chemical and Biomedical Engineering will be studied. Basic programmings skills will be developed using MATLAB and EXCEL. Students will learn the fundamental pronciples of computer programming, syntax, logic statements, data storage, function usage, input and output. Maths/Science Methods and Tools (Level 1)
Ability to use different systems for information retrieval, particularly in regard to ICT skills. Information Seeking (Level 1)
The ability to interpret results and present solutions for problems in an acceptable report format. Communication (Level 1)
Ability to apply self management skills to complete a programming project. Understanding the rules of copyright and appropriate usage of code.

Understanding the role of computer programming in the management of projects. Students may chose to work in pairs in the project assignment.
Professional Conduct (Level 1)

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.

Design (Level 1)
1. Understand 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.
Maths/Science Methods and Tools (Level 1)
2. Understand 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.
3. Able to read and write 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.
4. Able to carry out simple matrix computations including matrix sum, product, dot product, calculating the determinant and elementary functions on matrix.
5. Understand how digital images can be represented as matrices and operations on images can be abstracted as operations on matrices.

Be aware of how imaging software products are based on matrix operations.

Be able to identify the appropriate product for the particular class of engineering.
Communication (Level 1)
6. Ability to construct a mini project report using ICT tools.
Professional Conduct (Level 1)
7. Be aware of good practice in developing MATLAB and EXCEL applications. Be aware of requirements for software benchmarking and validation.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Lab Exercises No 10.00 Multiple Weeks 1, 2,
2 Lab Exam No 15.00 Week 7 1, 2, 3, 4,
3 Major Project Yes 25.00 Week 11 1, 2, 3, 4, 6,
4 Final Exam No 50.00 Exam Period 1, 2, 3, 4, 5, 7,
Assessment Description: Lab Exercises: Programming tasks done in weekly labs

Lab Exam: Practical programing test

Major Project: Programming assignment

Final Exam: 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 IT 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: Available via WebCT
Note on Resources: The on-line WebCT site provides not only copies of lecture notes, tutorials and assignments, but an interactive on-line practice tool, called SPOT, which is designed to allow students to learn and practice programming in their own time.

There is also an online programming environment (access through WebCT) in which students can practice programming tasks and get instant feedback about their progress.

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 Textbook Reference - Smith: ch.1 + ch.2
Lecture: Lecture 1: Matlab - Introduction to computers and programming. Getting started with Matlab (variables and data types; Matlab’s user interface; running Matlab programs to solve simple arithmetic problems).
Lab: No lab this week
Lecture: Lecture 2: Excel - Using spreadsheets: formulae, cell referencing and built-in functions
Week 2 Lab: Weekly exercises
Textbook Reference - Smith: ch.3, Liengme: ch. 6, 7, 9
Lecture: Lecture 1: Matlab - Arrays (creating and manipulating arrays, accessing their elements, performing mathematical and logical operations on them)
Lecture: Lecture 2: Excel - Basic engineering modelling using spreadsheets: charts, curve fitting and What-If Scenarios
Week 3 Lecture: Lecture 1: Matlab - Execution control part 1(conditional execution: if and switch statements; loops – for and while)
Lab: Weekly exercises
Textbook Reference - Smith: ch. 4, Liengme: ch. 5, 10
Lecture: Lecture 2: Excel - Logical operators and decision functions. Solving equations with Goal Seek and Solver
Week 4 Textbook reference - Liengme: ch. 9, 13
Lab: Weekly exercises
Lecture: Lecture 1: Matlab - Execution control part 2
Lecture: Lecture 2: Excel - Advanced modelling. Matrix calculations
Week 5 Lab: Helpdesk sessions on Wednesday and Thursday for all students (Friday is a public holiday).
Lecture: Lecture 2: Excel input/output, integrating Excel and Matlab
Lecture: Lecture 1: Matlab files and general input/output
Textbook Reference - Smith: ch.6
Week 6 Lab: Weekly exercises
Lecture: Lecture 1: Review of Matlab and Excel concepts covered so far, in preparation for the Lab Exam.
Lecture: Lecture 2: Matlab plotting in 2D and 3D
Smith: ch. 8
Week 7 Lecture: Lecture 2 - Functions - code reuse and the need for functions, how to create and call user-defined functions.
Smith: ch.5
Lecture: Lecture 1: Introduction to strings in Matlab. Basic string manipulation such as slicing and concatenation.
Assessment Due: Lab Exam
Week 8 Lecture: Lecture 1: Functions - error detection and reporting, local and global variables.
Lab: Weekly exercises
Week 9 Lecture: Lecture 2: Advanced Matlab plotting - surfaces
Smith: ch.7
Lab: Weekly exercises
Lecture: Lecture 1: More on Matlab functions, floating point calculations, testing and debugging your code.
Week 10 Lecture: Lecture 2: Advanced Matrix algebra with Matlab
Smith: ch. 11
Lab: Project work
Lecture: Lecture 1: Matrix algebra with Matlab
Week 11 Smith: ch. 12
Lab: Weekly exercises
Lecture: Lecture 1: Introduction to solving linear equations with Matlab
Lecture: Lecture 2: More advanced linear equations - knowing when solutions exist.
Assessment Due: Major Project
Week 12 Lab: Weekly exercises.
Lecture: Lecture 1: Interpolation and curve fitting with Matlab
Lecture: Lecture 2: Polynomial interpolation, image manipulation with Matlab
Smith: ch. 15
Week 13 Lecture: Lecture 2: Matlab revision and exam preparation
Lecture: Lecture 1: Excel revision and exam preparation
Lab: Weekly exercises
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
Aeronautical 2010, 2011, 2012, 2013, 2014, 2015
Aeronautical Engineering / Arts 2011, 2012, 2013, 2014
Aeronautical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Aeronautical Engineering / Medical Science 2011, 2012, 2013, 2014
Aeronautical Engineering / Project Management 2012, 2013, 2014
Aeronautical Engineering / Science 2011, 2012, 2013, 2014
Aeronautical Engineering / Law 2010, 2011, 2012, 2013, 2014
Aeronautical Engineering (Space) / Commerce 2010, 2011, 2012, 2013, 2014
Aeronautical (Space) 2010, 2011, 2012, 2013, 2014, 2015
Aeronautical Engineering (Space) / Arts 2011, 2012, 2013, 2014
Aeronautical Engineering (Space) / Medical Science 2011, 2012, 2013, 2014
Aeronautical Engineering (Space) / Project Management 2012, 2013, 2014
Aeronautical Engineering (Space) / Science 2011, 2012, 2013, 2014
Aeronautical Engineering (Space) / Law 2010, 2011, 2012, 2013, 2014
Biomedical Engineering / Law 2013, 2014
Biomedical Engineering / Arts 2013, 2014
Biomedical Engineering / Commerce 2013, 2014
Biomedical Engineering / Medical Science 2013, 2014
Biomedical Engineering / Project Management 2013, 2014
Biomedical Engineering / Science 2013, 2014
Biomedical - Chemical and Biomolecular Major 2013, 2014, 2015
Biomedical - Electrical Major 2013, 2014
Biomedical - Mechanical Major 2013, 2014, 2015
Biomedical - Mechatronics Major 2013, 2014, 2015
Chemical & Biomolecular 2010, 2011, 2012, 2013, 2014, 2015
Chemical & Biomolecular Engineering / Arts 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Medical Science 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Science 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Law 2010, 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Project Management 2012, 2013, 2014
Civil 2010, 2011, 2012, 2013, 2014, 2015
Civil Engineering / Arts 2011, 2012, 2013, 2014
Civil Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Civil Engineering / Design in Architecture 2010
Civil Engineering / Medical Science 2011, 2012, 2013, 2014
Civil Engineering / Project Management 2012, 2013, 2014
Civil Engineering / Science 2011, 2012, 2013, 2014
Civil (Construction Management) 2011, 2012, 2013, 2014, 2015
Civil (Environmental) 2011, 2012, 2013, 2014, 2015
Civil (Geotechnical) 2011, 2012, 2013, 2014, 2015
Civil Engineering / Law 2010, 2011, 2012, 2013, 2014
Civil (Structures) 2011, 2012, 2013, 2014, 2015
Aeronautical / Arts 2015
Aeronautical / Commerce 2015
Aeronautical / Science 2015
Aeronautical (Space) / Commerce 2015
Aeronautical (Space) / Science 2015
Biomedical /Science 2015
Biomedical - Electrical Major 2015
Chemical & Biomolecular / Arts 2015
Chemical & Biomolecular / Commerce 2015
Chemical & Biomolecular / Medical Science 2015
Chemical & Biomolecular / Project Management 2015
Chemical & Biomolecular / Science 2015
Civil / Arts 2015
Civil / Commerce 2015
Civil / Medical Science 2015
Civil / Project Management 2015
Civil / Science 2015
Mechanical 2015, 2010, 2011, 2012, 2013, 2014
Mechanical / Commerce 2015
Mechanical / Science 2015
Mechanical (Space) 2015, 2010, 2011, 2012, 2013, 2014
Mechanical (Space) / Commerce 2015
Mechanical (Space) / Science 2015
Mechatronics 2015
Mechatronic / Commerce 2015
Mechatronic / Science 2015
Mechatronics (Space) 2015
Mechatronic (Space) / Commerce 2015
Mechatronic (Space) / Science 2015
Mechanical Engineering / Arts 2011, 2012, 2013, 2014
Mechanical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Mechanical (Biomedical) 2010, 2011, 2012
Mechanical Engineering (Biomedical) / Arts 2011, 2012
Mechanical Engineering (Biomedical) / Commerce 2010, 2011, 2012
Mechanical Engineering (Biomedical) / Medical Science 2010, 2011, 2012
Mechanical Engineering (Biomedical) / Project Management 2012
Mechanical Engineering (Biomedical) / Science 2011, 2012
Mechanical Engineering (Biomedical) / Law 2010, 2011, 2012
Mechanical Engineering / Medical Science 2011, 2012, 2013, 2014
Mechanical Engineering / Project Management 2012, 2013, 2014
Mechanical Engineering / Science 2011, 2012, 2013, 2014
Mechanical Engineering / Law 2010, 2011, 2012, 2013, 2014
Mechanical Engineering (Space) / Arts 2011, 2012, 2013, 2014
Mechanical Engineering (Space) / Commerce 2010, 2011, 2012, 2013, 2014
Mechanical Engineering (Space) / Medical Science 2012, 2013, 2014
Mechanical Engineering (Space) / Project Management 2012, 2013, 2014
Mechanical Engineering (Space) / Science 2011, 2012, 2013, 2014
Mechatronic 2010, 2011, 2012, 2013, 2014
Mechatronic Engineering / Arts 2011, 2012, 2013, 2014
Mechatronic Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Mechatronic Engineering / Medical Science 2011, 2012, 2013, 2014
Mechatronic Engineering / Project Management 2012, 2013, 2014
Mechatronic Engineering / Science 2011, 2012, 2013, 2014
Mechatronic (Space) 2010, 2011, 2012, 2013, 2014
Mechatronic Engineering (Space) / Arts 2011, 2012, 2013, 2014
Mechatronic Engineering (Space) / Commerce 2010, 2011, 2012, 2013, 2014
Mechatronic Engineering (Space) / Medical Science 2011, 2012, 2013, 2014
Mechatronic Engineering (Space) / Project Management 2012, 2013, 2014
Mechatronic Engineering (Space) / Science 2011, 2012, 2013, 2014
Mechatronic Engineering (Space) / Law 2010, 2011, 2012, 2013, 2014
Project Engineering and Management (Civil) 2010, 2011, 2012
Project Engineering and Management (Civil) / Arts 2011
Project Engineering and Management (Civil) / Commerce 2010, 2011
Project Engineering and Management (Civil) / Science 2011
Bachelor of Project Management (Built Environment) 2012, 2013, 2014, 2015
Bachelor of Project Management (Civil Engineering Science) 2012, 2013, 2014, 2015
Bachelor of Project Management (Software) 2012, 2013, 2014, 2015
Flexible First Year Program: STREAM A 2015, 2010, 2011, 2012, 2013, 2014
Flexible First Year (Stream A) / Arts 2013, 2014
Flexible First Year (Stream A) / Commerce 2011, 2012, 2013, 2014
Flexible First Year (Stream A) / Medical Science 2014
Flexible First Year (Stream A) / Science 2013, 2014

Course Goals

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

Attribute Practiced Assessed
Project and Team Skills (Level 1) No 0%
Design (Level 1) Yes 22.09%
Maths/Science Methods and Tools (Level 1) Yes 64.59%
Information Seeking (Level 1) Yes 0%
Communication (Level 1) Yes 5%
Professional Conduct (Level 1) Yes 8.34%

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.