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.

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.