Course Title: Process Control and Simulation

Part A: Course Overview

Course Title: Process Control and Simulation

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

PROC2090

City Campus

Undergraduate

120H Civil, Environmental & Chemical Engineering

Face-to-Face

Sem 2 2007,
Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012,
Sem 2 2013,
Sem 2 2014,
Sem 2 2015

PROC2090

City Campus

Undergraduate

172H School of Engineering

Face-to-Face

Sem 2 2019,
Sem 2 2020,
Sem 2 2022

Course Coordinator: Dr Daniel Lester

Course Coordinator Phone: +61 3 9925 2404

Course Coordinator Email: daniel.lester@rmit.edu.au

Course Coordinator Location: 10.10.17

Course Coordinator Availability: TBA


Pre-requisite Courses and Assumed Knowledge and Capabilities

MATH1122 Mathematics for Engineers, PROC2082 Heat and Mass Transfer and PROC2083 Reaction Engineering are pre-requisite courses.


Course Description

Process Control involves the application of different techniques to design and operate dynamically consistent processes, tune and troubleshoot control loops, and make correct process control design decisions. Correct application of Process Control improves the profitability and safety of a given process, while maintaining high product quality standards.

WAM statement:
Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information web page for more information.)

The WAM web page link:
http://www1.rmit.edu.au/browse;ID=eyj5c0mo77631


Objectives/Learning Outcomes/Capability Development

This course specifically addresses the following Program Learning Outcomes:

1.2 Conceptual understanding of mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline
1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline
2.2 Fluent application of engineering techniques, tools and resources

 


Upon successful completion of this course, students should be able to:

  1. Develop mathematical models to describe the dynamic behaviour of a process;
  2. Design control systems for a given process based on its dynamic behaviour;
  3. Simulate and model control systems using SIMULINK software;
  4. Tune-up control systems using different tuning techniques;
  5. Implement control loops using the correct hardware.

 


Overview of Learning Activities

Learning activities consist of viewing pre-recorded lecture videos, recorded class-based tutorials, associated group assignments, self-directed learning and case studies.


Overview of Learning Resources

A complete set of notes are available on Canvas. Other resources will be made available also through Canvas


Overview of Assessment

X This course has no hurdle requirements. 

☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching). 

Assessments

Assessment: Online Tests

Online Test # 1, 2:15 hours duration, timed test taken any time within a 24-hour window
Weighting: 20%
This assessment task supports CLOs: 1, 2

Online Test # 2, 2:15 hours duration, timed test taken any time within a 24-hour window
Weighting: 20%
This assessment task supports CLOs: 1, 2

Online Test # 3, 2:15 hours duration, timed test taken any time within a 24-hour window
Weighting: 20%
This assessment task supports CLOs: 1, 2, 4

Assessment: Assignment

Assignment 
Weighting: 30%
This assessment task supports CLOs: 1, 2, 3, 4, 5

Assessment: Tutorials

Tutorials
Weighting: 10%
This assessment task supports CLOs 1, 2, 3, 4, 5