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, Sem 2 2024, Sem 2 2025 |
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
Recommended Prior Study
You should have satisfactorily completed or received credit for the following courses before you commence this course:
- MATH1122 Mathematics for Engineers
- PROC2082 Heat and Mass Transfer
- PROC2083 Reaction Engineering are pre-requisite courses
If you have completed prior studies at RMIT or another institution that developed the skills and knowledge covered in the above course/s you may be eligible to apply for credit transfer.
Alternatively, if you have prior relevant work experience that developed the skills and knowledge covered in the above course/s you may be eligible for recognition of prior learning.
Please follow the link for further information on how to apply for credit for prior study or experience.
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 contributes to the program learning outcomes for the following programs:
BH079P23 Bachelor of Engineering (Chemical Engineering) (Honours)
BH122CEH23 Bachelor of Engineering (Chemical Engineering)(Honours)/Bachelor of Pharmaceutical Sciences
PLO 1. Demonstrate a coherent and advanced understanding of scientific theories, principles and concepts and engineering fundamentals within the engineering discipline
PLO 2. Demonstrate a coherent and advanced body of knowledge within the engineering discipline
PLO 3. Demonstrate advanced knowledge of the scope, principles, norms, accountabilities, bounds, design practice and research trends of contemporary engineering practice including sustainable practice
PLO 4. Apply knowledge of established engineering methods to the solution of complex problems in the engineering discipline
PLO 5. Utilise mathematics, software, tools and techniques, referencing appropriate engineering standards and codes of practice, in the design of complex engineering systems
This course contributes to the program learning outcomes for the following programs:
BH079 Bachelor of Engineering (Chemical Engineering) (Honours)
BH085CEHDD Bachelor of Engineering (Chemical Engineering)(Honours) /Bachelor of Business (Management)
BH122CEHDD Bachelor of Engineering (Chemical Engineering)(Honours)/Bachelor of Pharmaceutical Sciences
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
For more information on the program learning outcomes for your program, please see the program guide.
Upon successful completion of this course, you will be able to:
CLO1 Model dynamic behaviour of chemical processes using advanced mathematical techniques and software tools
CLO2 Design control systems for given processes based on dynamic models
CLO3 Optimise feedback control loops to ensure quality and safety
CLO4 Troubleshoot control systems to maintain efficient and safe operations
CLO5 Implement control loops using appropriate hardware and techniques
CLO6 Evaluate control strategies for their impact on profitability, safety and quality
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
Assessment Task 1: Class test 1, 20%, CLO1, CLO2 and CLO4
Assessment Task 2: Class test 2, 20%, CLO1, CLO2 and CLO4
Assessment Task 3: Class test 3, 20%, CLO1, CLO2 and CLO4
Assessment Task 4: Written Assessments, 40%, CLO1, CLO2, CLO3, CLO4, CLO5 and CLO6
If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.