Subject Descriptions - Subject Information


Calendar: 2017 Undergraduate
Faculty: Faculty of Engineering and Information Sciences
Department: Engineering and Information Sciences


Subject Information
Subject Code ENGG100
Subject Name Engineering Computing and Analysis
Credit Points 6
Pre-Requisites Nil
Co-Requisites Nil
Restrictions None.
Equivalence None.
Assessment Online self assessment 15% Data collection and analysis report 15% Program design report 20% Final exam 50 %
General Subject No.
EFTSL (Non Weighted) 0.125
Non Weighted Student Contribution Amounts
Commonwealth Supported (HECS) Students Only
Pre-1997 Pre-2005 Post-2005 Post-2008 Post-2009 Post-2010
$ 1131  $ 1131  $ 1131  $ 1131  $ 1131  $ 1131 
Weighted Student Contribution Amounts
Commonwealth Supported (HECS) Students Only
Course
1771-Bachelor of Laws (Honours) (Direct Entry)
1777-Bachelor of Laws (Direct Entry)
1827-Bachelor of International Studies - Bachelor of Laws
1845-Bachelor of Information Technology - Bachelor of Laws
1852-Bachelor of Business Information Systems - Bachelor of Laws
351-Bachelor of Laws (Honours)
760-Bachelor of Communication and Media Studies - Bachelor of Laws
770-Bachelor of Laws (Graduate Entry)
771-Bachelor of Arts - Bachelor of Laws
771H-Bachelor of Arts - Bachelor of Laws
772-Bachelor of Creative Arts - Bachelor of Laws
773-Bachelor of Commerce - Bachelor of Laws
774-Bachelor of Mathematics - Bachelor of Laws
775-Bachelor of Science - Bachelor of Laws
775H-Bachelor of Science - Bachelor of Laws
775M-Course information not Found
776-Bachelor of Computer Science - Bachelor of Laws
778-Bachelor of Information and Communication Technology-Bachelor of Laws
779-Bachelor of Engineering - Bachelor of Laws
858-Bachelor of Journalism - Bachelor of Laws
Work Experience No
Tutorial Enrolment Information None.

Subject Availability
Session DXB UG Spring  (05-02-2017 to 03-06-2017)
Campus Dubai
Delivery Method On Campus
Instance Name Class 1
Quota 50
Course Restrictions No restrictions
Contact Hours  
Lecturer(s) and
Cons. times
Obada Al Khatib
Coordinator(s) and
Cons. times
 
Instance Comment  
Census Date 28-02-2017

Subject Availability
Session DXB UG Summer  (18-06-2017 to 08-08-2017)
Campus Dubai
Delivery Method On Campus
Instance Name Class 1
Quota 50
Course Restrictions No restrictions
Contact Hours  
Lecturer(s) and
Cons. times
Abdullatif Tchantchane
Coordinator(s) and
Cons. times
Christian Ritz
David Hastie
Jun Shen
Instance Comment  
Census Date 28-06-2017

Subject Availability
Session Spring  (24-07-2017 to 16-11-2017)
Campus Wollongong
Delivery Method On Campus
Instance Name Class 1
Course Restrictions No restrictions
Contact Hours  
Lecturer(s) and
Cons. times
David Hastie
Montse Ros
Coordinator(s) and
Cons. times
David Hastie
Montse Ros
Instance Comment  
Census Date 31-08-2017

Subject Description
This subject teaches algorithm design and computer programming using MATLAB. Students will develop a systematic approach to analyse engineering problems and create algorithms that solve real-world problems. Topics will include: problems solving techniques; algorithm design; data types and operators; conditional and repetitive control flow; file access; functions; data visualisation; code optimisation; arrays/matrices; and vectorisation. Students will also focus on computational tools to solve engineering problems such as kinematics of rectilinear and curvilinear motion.


Subject Learning Outcomes
On successful completion of this subject, students will be able to:
1. Identify and understand programming techniques and their application to solve engineering problems.
2. Demonstrate a sound grounding of professional knowledge in both programming techniques and engineering dynamics.
3. Apply logical engineering design practices to multi-faceted problems involving engineering mechanics and computing.
4. Apply programming techniques in a guided environment, to solve engineering problems.
5. Design, implement, test and debug simple algorithms in MATLAB.
6. Analyse forces acting on particles and their resultant motion.
7. Collect, manage and analyse data using common measurement equipment and computing tools.
8. Present calculations, designs, research and critical analysis in a professional manner.
9. Work as a productive member of a team, recognising roles, responsibilities and accountabilities of individuals in a team.
10. Demonstrate self directed learning related to solving problems in engineering, transitioning to other programming languages in later years.


Textbook Information

Text book information is available via the UniShop website:



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