Course Title: Chemical Engineering Computer Design

Part A: Course Overview

Course Title: Chemical Engineering Computer Design

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

PROC2121

City Campus

Undergraduate

172H School of Engineering

Face-to-Face

Sem 1 2018,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022,
Sem 1 2023,
Sem 1 2024

Course Coordinator: Prof Kalpit Shah

Course Coordinator Phone: +61 3 9925 1109

Course Coordinator Email: Kalpit.Shah@rmit.edu.au

Course Coordinator Availability: Email for appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

Required Prior Study

You should have satisfactorily completed the below courses before you commence this course:

  • Chemical Engineering Fundamentals (PROC2077)
  • Mathematics For Engineers (MATH1122)
  • Reaction Engineering (PROC2083)
  • Process Thermodynamics (PROC2080)
  • Process Principles (PROC2078)

Alternatively, you may be able to demonstrate the required skills and knowledge before you start this course. 

Contact your course coordinator if you think you may be eligible for recognition of prior learning.  


Course Description

This unit will establish an understanding on the use of advanced simulation platforms in process design and control. It will help students in developing necessary computational skills to use simulation platforms for solving number of chemical engineering design and control problems for a range of industrial sectors such as oil and gas, power, petrochemicals, mining, fertilizer and pharmaceuticals. The students will develop software knowledge and skills by spending all of their time with software as well as through open-ended individual tutorial problems and industry mentoring sessions. 


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for Bachelor of Engineering (Chemical Engineering) (Honours) and associated double degrees for students who commenced their program prior to 2023:

1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.2 Conceptual understanding of the, 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.
2.1 Application of established engineering methods to complex engineering problem solving.
2.2 Fluent application of engineering techniques, tools and resources.

This course contributes to the following Program Learning Outcomes for Bachelor of Engineering (Chemical Engineering) (Honours) and associated double degrees for students who commenced their program in 2023:

  • PLO 1: Demonstrate an in-depth understanding and knowledge of fundamental engineering and scientific theories, principles and concepts and apply advanced technical knowledge in specialist domain of engineering. 
  • PLO 2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges.    
  • PLO 4: Apply systematic problem solving, design methods and information and project management to propose and implement creative and sustainable solutions with intellectual independence and cultural sensitivity. 

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:

  1. Apply process engineering knowledge and solve process design problems related to range of unit operations and plant operations.
  2. Apply the fundamentals of process modelling using numerical and computer aided design methods and techniques and solve process design problems related to range of unit operations and plant operations.
  3. Build block diagrams, process flowsheets and process models of plant operations based on conservation laws.
  4. Demonstrate ability to work on various commercial modelling packages. 
  5. Perform process simulations to identify optimum reactor design, catalyst volume, operating parameters, energy and raw materials requirement etc. based on design considerations such as product quality and throughput.


Overview of Learning Activities

You will be actively engaged in a range of learning activities such as lectorials and related tutorials, individual and group activities. You will need to work individually to perform tutorials and related questions and assignments. Delivery may be face to face, online or a mix of both. 

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, andthrough links and material specific to this course that is available through myRMIT Studies Course. 


Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

This course has no hurdle requirements.
The assessment in this course is comprised of several assignments. 

Assessment Tasks

Assessment Task 1: Mid-semester Test - (Multiple Choice Questions, Short Questions and Computer Based Simulation Problems) 
Weighting: 30% total, comprising:

  • Multiple Choice Questions: 5%
  • Short Questions: 5%
  • Computer Based Simulation Problems: 20%

This assessment task supports CLOs 1, 2 and 3.
This assessment is a timed and timetabled assessment of less than 2 hours duration that students must attend on campus.

Assessment Task 2: Assignment (Computer Based Simulation Problems) 
Weighting: 30%
This assessment task supports CLOs 1, 2, 3 and 5.

Assessment Task 3: Final Test - (Multiple Choice Questions, Short Questions and Computer Based Simulation Problems) 
Weighting: 40% total, comprising:

  • Multiple Choice Questions: 5%
  • Short Questions: 10%
  • Computer Based Simulation Problems: 25%

This assessment supports CLOs 1, 2, 3, 4 and 5.
This assessment is a timed and timetabled assessment of less than 2 hours duration that students must attend on campus.

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.