CHEM ENG 2013 - Advanced Process Modelling
North Terrace Campus - Semester 2 - 2017
General Course Information
Course Code CHEM ENG 2013 Course Advanced Process Modelling Coordinating Unit School of Chemical Engineering Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Incompatible CHEM ENG 2006 Assumed Knowledge CHEM ENG 1011, MATHS 2201, CHEM ENG 1007 Course Description This course will extend the modelling skills introduced in the course CHEM ENG 1011. Extension will primarily come through consideration of chemical, biochemical and pharmaceutical processes of increasing complexity, including real-life processes. Skills will be developed in developing models for the processes using fundamental principles and solving these efficiently using numerical methods. An integrated problem-based approach will ensure various process modelling techniques, including data regression and model validation, will be developed in the process engineering context.
Course Coordinator: Dr Philip Kwong
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will be able to:
1 Formulate numerical problems in thermodynamics using consecutive calculations with the aid of MATLAB; 2 Formulate mass balance problems in chemical reaction engineering using system of linear algebraic equations with the aid of MATLAB and EXCEL; 3 Formulate numerical problems in thermodynamics using single nonlinear algebraic equations with the aid of MATLAB; 4 Formulate numerical problems in thermodynamics using multiple linear and polynomial regressions with the aid of MATLAB and EXCEL; 5 Formulate mass and energy balance problems in chemical reaction engineering using system of first-order ordinary differential equations with the aid of MATLAB; 6 Apply process models in real-life engineering problems; and 7 Select and build an appropriate model for the regression and correlation of experimental data and subsequently evaluate the accuracy of the model.
The above course learning outcomes are aligned with the Engineers Australia Stage 1 Competency Standard for the Professional Engineer.
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.3 1.4 1.5 2.1 2.2 2.3 3.3 3.4
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
1-7 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
1-7 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
Recommended ResourcesReference Book
Cutlip, M. B. and M. Shacham (2008). Problem Solving in Chemical and Biochemical Engineering with POLYMATH, EXCEL, and MATLAB. Upper Saddle River, NJ, Prentice Hall.
Online LearningA range of online resources will be provided via MyUni.
Learning & Teaching Activities
Learning & Teaching ModesThe course will be delivered as a series of weekly lectures. Lectures are designed to deliver new materials and tutorials are designed as guided-workshops with practical sessions to help you to achieve the indented learning outcomes.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Contact hours Workload hours Lectures 22 44 Computer Labs 20 50 Assignments 0 48 Examination 0 12 TOTAL 42 154
Learning Activities SummaryTopic 1: Introduction/ Basic Principles and Calculations
Problem solving using single nonlinear algebraic equation, solution of a system of linear equations, regression of polynomials, single nonlinear algebraic equation and simultaneous ordinary differential equations.
Topic 2: Regression and Correlation of Data
Data correlations using linear and non-linear regression models, linearization and transformation of functions, model comparison using confidence intervals, residual plots and sum of squares techniques.
Topic 3: Numerical Problems in Thermodynamics
Modelling of compressibility factor, isothermal compression of gas, thermodynamic properties of pure substances using various equation of state.
Topic 4: Numerical Problems in Chemical Reaction Engineering
Modelling of batch, continuous flow, tubular and packed bed reactors using mass balance
equations and the determination of kinetic parameters from different
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
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- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes 3 Assignments 40 Individual Formative 4, 7 10 1. 2. 3. 4. 5. 6. 7. Final Exam 60 Individual Summative 12 1. 2. 3. 4. 5. 6. 7. Total 100
This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
No information currently available.
No information currently available.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
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