CHNG2802: Applied Maths for Chemical Engineers (2019 - Semester 1)

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Unit: CHNG2802: Applied Maths for Chemical Engineers (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Intermediate
Faculty/School: School of Chemical and Biomolecular Engineering
Unit Coordinator/s: Dr Montoya, Alejandro
Session options: Semester 1
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: (MATH1001 OR MATH1021 OR MATH1901 OR MATH1921) AND (MATH1002 OR MATH1902) AND (MATH1003 OR MATH1023 OR MATH1903 OR MATH1923) AND (MATH1005 OR MATH1015 OR MATH1905 OR BUSS1020) AND CHNG1103.
Brief Handbook Description: This unit consists of two core modules: Design of Experiments for Chemical Engineers and Applied Numerical Methods for Chemical Engineers. These modules aim at furthering your education by extending your skills in statistical analysis and Chemical Engineering Computations. This unit will also enable you to develop a systematic approach to solving mathematically oriented Chemical Engineering problems, helping you to make sound engineering decisions. The modules will provide sufficient knowledge and training to progress to subsequent engineering analyses including Process Dynamics and Control and Chemical Engineering Design. This unit will provide students with the tools and know-how to tackle real-life multi-disciplinary chemical engineering problems.
Assumed Knowledge: Calculus, linear algebra, descriptive statistics.
Lecturer/s: Dr Ghadi, Amirali
Dr Montoya, Alejandro
Timetable: CHNG2802 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 2.00 1 13
3 Independent Study 4.00 1 13
T&L Activities: This course uses a variety of teaching and learning activities. These activities consist of lectures, tutorials, PC lab activities and essay examinations. The tutorials and PC lab activities complement the theory and applications presented in the lectures and represent a significant ingredient for realizing the aims of the course. We make use of Excel and Matlab.

Each week a new tutorial will be given and you are highly encouraged to attempt this prior to attending the tutorial session. This will promote discussion and interaction during the tutorial deepening on your learning. The primary goal of the tutorials is not to serve as items of assessment (i.e.| as hand-in assignments to earn marks). Rather, the aim of the tutorial sessions will continue to give you a chance to work through a guided number of problems. You will be able to get feedback on your progress from the lecturer, the tutors and your fellow students. Through this process, you will develop understanding and confidence in handling the material.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

(7) Project and Team Skills (Level 2)
1. Effectively develop an engineering project in a group and communicate the ideas clearly and coherently both verbally and in writing to peers, the engineering profession and the wider community
(2) Engineering/ IT Specialisation (Level 2)
2. Propose experimental and computational approaches to bring together and apply knowledge to numerically characterise, analyse and solve a wide range of engineering problems
3. Use the standard techniques of statistical design of experiments to evaluate the effect of input variables in the response of chemical engineering processes
4. Apply computational methods to get insights into steady and non-steady conditions of Chemical Engineering processes
(1) Maths/ Science Methods and Tools (Level 2)
5. Use numerical procedures to solve typical engineering equations with multiple variables
6. Write computer codes in Matlab to numerically integration and differentiate data obtained from experimental observations
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Quiz one No 20.00 Week 6 2, 3,
2 Quiz two No 20.00 Week 12 2, 4, 5,
3 Online Assessments No 10.00 Multiple Weeks 2, 3, 4, 5, 6,
4 Project 1: Design of Experiments Yes 25.00 Week 7 1, 2,
5 Project2:Numerical analysis of Experimental Data Yes 25.00 Week 12 2, 4, 5, 6,
Assessment Description: Paper and computer-aided examinations will be part of the assessment. It is aimed to allow you to reflect on your learning and to gauge your performance in the course. You are highly encouraged to treat and use these as learning situations rather than examination exercises.

Your competency in the key concepts to be covered in this unit will be assessed as follows:

• Two quizzes: Module A (Desing of Experiments for Chemical Engineers) and Module B (Data Analysis for Chemical Engineers).

• Weekly assessments to complete over several weeks

• Project 1: Develop an experimental activity to practice your knowledge in the design of experiments and present the results in written form and orally in front of all students.

• Project 2: a problem-solving assignment in Numerical Computations to complete on week 13.
Assessment Feedback: Sufficient feedback to students is provided by the lecturer and tutors. The solution of tutorial examples, quizzes and project questions will be discussed with students in the class, and individually on especially circumstances, if need it.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
Online Course Content: Lecture slides and tutorial notes are available prior to the corresponding lecture section on the e-learning WebCT (blackboard) site.
Note on Resources: Lecture slides and tutorials

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Review: Introduction to Matlab, Statistical Distributions and their properties
Week 2 Basics of Design of Experiments
Week 3 Statistical quality control analysis
Week 4 Analysis of data obtained with a Design of Experiments scheme: Analysis of variance
Week 5 Analysis of data obtained with a Design of Experiments scheme: Surface response models
Week 6 Application of Design of Experiments in the Chemical Industry
Assessment Due: Quiz one
Week 7 Numerical procedures to solve typical engineering equations: Least-square techniques for maximising, minimising and finding roots of a set of equations with multiple variables
Assessment Due: Project 1: Design of Experiments
Week 8 Differential equations relevant to Chemical Engineering with initial conditions
Week 9 Differential equations relevant to Chemical Engineering with boundary conditions
Week 10 Application of partial differential equations in mass and energy balances
Week 11 Application of Laplace Transform in Chemical Engineering
Week 12 Application of Laplace Transform in Chemical Engineering
Assessment Due: Quiz two
Assessment Due: Project2:Numerical analysis of Experimental Data
Week 13 Review of Quiz two and Project

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Chemical & Biomolecular (till 2014) 2010, 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Arts 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Medical Science 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Science 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Law 2010, 2011, 2012, 2013, 2014
Chemical & Biomolecular Engineering / Project Management 2012, 2013, 2014
Chemical & Biomolecular 2015, 2016, 2017, 2018, 2019
Chemical & Biomolecular / Arts 2015, 2016, 2017, 2018, 2019
Chemical & Biomolecular / Commerce 2015, 2016, 2017, 2018, 2019
Chemical & Biomolecular / Medical Science 2015, 2016, 2017
Chemical & Biomolecular / Music Studies 2016, 2017
Chemical & Biomolecular / Project Management 2015, 2016, 2017, 2018
Chemical & Biomolecular / Science 2015, 2016, 2017, 2018, 2019
Chemical & Biomolecular/Science (Health) 2018, 2019
Chemical & Biomolecular / Law 2015, 2016, 2017, 2018, 2019
Chemical & Biomolecular Mid-Year 2016, 2017, 2018, 2019
Chemical & Biomolecular/ Project Management 2019
Chemical & Biomolecular/Science (Medical Science Stream) 2018, 2019
Biomedical Mid-Year 2016, 2017, 2018, 2019
Biomedical 2016, 2019

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
(7) Project and Team Skills (Level 2) No 12.5%
(2) Engineering/ IT Specialisation (Level 2) No 65.5%
(1) Maths/ Science Methods and Tools (Level 2) No 22%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.