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CHNG5603: Analysis, Modelling, Control: BioPhy Sys (2018 - Semester 1)

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Unit: CHNG5603: Analysis, Modelling, Control: BioPhy Sys (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Chemical and Biomolecular Engineering
Unit Coordinator/s: A/Prof Dehghani, Fariba
Session options: Semester 1
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: This course will give students an insight into the use of (computer-based) statistical techniques in extracting information from experimental data obtained from real life bio-physical systems. The issues and techniques required for mathematical modeling as well as monitoring and/or control scheme for bio-physical systems will be discussed and implemented in diverse range of bioprocesses, including biomaterials and fermentation products.

We will review statistical distribution; tests based on z, t, F variables; calculation of confidence intervals; hypothesis testing; linear and nonlinear regression; analysis of variance; principal component analysis; and use of computer-based statistical tools. The issues associated with dynamic response of bio-physical processes; inferred or estimated variables; control system design and implementation; introduction to model-based control; use of computer-based control system design and analysis tools will be elaborated.

When this course is successfully completed you will acquire knowledge to choose the appropriate statistical techniques within a computer based environment, such as Excel or MATLAB, for a given situation. The students will also obtain potential for monitoring/control scheme based on the key dynamic features of the process. Such information would be beneficial for any future career in Bio-manufacturing companies. Students are encouraged to promote an interactive environment for exchange of information.
Assumed Knowledge: It is assumed that students have a general knowledge of: (MATH1001 OR MATH1021) AND (MATH1003 OR MATH1023)
Additional Notes: This course is for Master degree students and also is offered as an elective course for fourth year students. Some lectures my be given by a guest lecturer.
Lecturer/s: Dr Kavanagh, John
A/Prof Dehghani, Fariba
Tutor/s: TBA
Timetable: CHNG5603 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 2 12
2 Tutorial 1.00 2 9
3 Independent Study 4.00 13
4 Project Work - own time 2.00 1 13
T&L Activities: Tutorial: There will be tutorial after each lecture(week 1-9) in the computer lab. It is expected that students work in a group of two and submit the tutorials to the tutor.

Independent Study: Students are expected to spend time for ‘self directed learning’ outside the specified contact periods.

Project Work - own time: There will be about two projects and self assisted learning. Students are expected to spend about 2 hours of study outside the specified contact period. Groups are allocated to work for some projects.

Quiz: There will be a mid-semester quiz.

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Application of conceptual material.
Ability to cope with change.
Projects are provided to promote problem solving skills of the students
Design (Level 2)
The students will learn the fundamental aspects of statistics and mathematical modeling of bioprocesses, Problem solving skills, Collate correct information from different sources for decision making,
Critical thinking.
Maths/Science Methods and Tools (Level 4)
The students will obtain the skills to conduct research independently in new area and promote their critical thinking. Information Seeking (Level 3)
Team work, oral presentation, and writing report were designed to improve communication skills of the students. Communication (Level 3)
The assessments will promote the student`s responsibily for their performance. Develops the skills and tools needed for engineering practice - systems understanding of large classes of behavior.
Understanding of social aspects of engineering.
Lifetime or self-directed learning skills.
Self-assessment skills.
Professional Conduct (Level 1)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table 2018.

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.

Design (Level 2)
1. Design a monitoring/control scheme based on the key dynamic features of the process.
Maths/Science Methods and Tools (Level 4)
2. Ability to choose the appropriate statistical techniques to employ when faced with a task of analyzing experimental data, and use the relevant techniques within a computer-based environment (such as Excel or MATLAB).
3. Appreciate what the most appropriate modeling option is in a given situation (e.g. empirical (data-based) modeling; parameter estimation within a given model form; first-principles modeling).
Information Seeking (Level 3)
4. An ability to independently research new areas and be critical of what is found.
Communication (Level 3)
5. Ability to communicate clearly and concisely.
Professional Conduct (Level 1)
6. Professionalism in terms of taking responsibility for the results of their calculations and recommendations
Project and Team Skills (Level 3)
7. Interpersonal, group and teamwork
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Assignment Yes 15.00 Multiple Weeks 1, 2, 3, 4, 5, 6, 7,
2 Mid-Sem Exam No 30.00 Multiple Weeks 1, 2, 3, 4, 5, 6,
3 Project Yes 55.00 Week 1 1, 2, 3, 4, 5, 6, 7,
Assessment Description: Assignment: tutorials will be given each week on the basis of the thoroughness of students attempt and the correctness of the answer.

Assignment: The assignments will involve a self-study module and the aims are to encourage revision during the course, allow students to determine their progress in different subjects, and to gain an understanding of the learning expectations of the course.

Project: Real-life projects will be given to each group of 2 to 4 students to promote analytical, modeling and computer skills acquired during the course.

Quiz: There will be a mid-semester quiz.
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 . 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 for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar

Week Description
Week 1 The role of statistics in biophysical processing, introduction
Assessment Due: Project
Week 2 Decision making for a single population
Week 3 Hypothesis Testing for two populations
Week 4 Analysis of Variance
Week 5 Analysis of discrete data
Week 6 Statistical Process Control,Regression and Correlation
Week 7 MATLAB Tool Box (statistical function)
Week 8 Practical applicaiton of MATLAB tool box for modeling
Week 9 Experimental design and using SPSS program
Experimental design and mid-session quiz
Week 10 modeling and Optimisation- group project
Week 11 Modeling and optimisation-group project
Week 12 Modeling and optimisation-group project
Week 13 Group presentation-submission of final project

Course Relations

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

Course Year(s) Offered
Biomedical Engineering / Law 2013, 2014
Biomedical Engineering / Arts 2013, 2014
Biomedical Engineering / Commerce 2013, 2014
Biomedical Engineering / Medical Science 2013, 2014
Biomedical Engineering / Project Management 2013, 2014
Biomedical Engineering / Science 2013, 2014
Biomedical - Chemical and Biomolecular Major 2013, 2014, 2015
Biomedical - Electrical Major 2013, 2014
Biomedical - Information Technology Major 2013, 2014, 2015
Biomedical - Mechanical Major 2013, 2014, 2015
Biomedical - Mechatronics Major 2013, 2014, 2015
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 2012, 2013, 2014
Chemical & Biomolecular Engineering / Project Management 2012, 2013, 2014
Biomedical Mid-Year 2016, 2017, 2018
Biomedical 2016, 2017, 2018
Biomedical / Arts 2015, 2016, 2017, 2018
Biomedical / Commerce 2015, 2016, 2017, 2018
Biomedical / Medical Science 2015, 2016, 2017
Biomedical / Music Studies 2016, 2017
Biomedical / Project Management 2015, 2016, 2017, 2018
Biomedical /Science 2015, 2016, 2017, 2018
Biomedical/Science (Health) 2018
Biomedical - Electrical Major 2015
Biomedical / Law 2015, 2016, 2017, 2018
Chemical & Biomolecular 2015, 2016, 2017, 2018
Chemical & Biomolecular / Arts 2015
Chemical & Biomolecular / Commerce 2015
Chemical & Biomolecular / Medical Science 2015
Chemical & Biomolecular / Project Management 2015
Chemical & Biomolecular / Science 2015
Chemical & Biomolecular / Law 2015
Chemical & Biomolecular Mid-Year 2016, 2017, 2018
Biomedical/Science (Medical Science Stream) 2018
Master of Engineering 2013, 2014, 2015, 2016, 2017, 2018
Master of Engineering (Biophysical Processes) 2012
Master of Engineering (Chemical and Biomolecular) 2012
Master of Engineering (Environmental) 2012
Master of Engineering (Sustainable Processing) 2012
Master of Professional Engineering (Chemical & Biomolecular) 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018

Course Goals

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

Attribute Practiced Assessed
Design (Level 2) Yes 15%
Engineering/IT Specialisation (Level 4) No 0%
Maths/Science Methods and Tools (Level 4) Yes 30.01%
Information Seeking (Level 3) Yes 15%
Communication (Level 3) Yes 15%
Professional Conduct (Level 1) Yes 15%
Project and Team Skills (Level 3) No 10%

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.