Course Title: Data Collection and Analysis

Part A: Course Overview

Course Title: Data Collection and Analysis

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

PROC2081

City Campus

Undergraduate

120H Civil, Environmental & Chemical Engineering

Face-to-Face

Sem 2 2006,
Sem 2 2007,
Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012,
Sem 2 2013

Course Coordinator: Dr Liam Ward

Course Coordinator Phone: +61 3 9925 1713

Course Coordinator Email: L.Ward@rmit.edu.au

Course Coordinator Location: 10.12.32

Course Coordinator Availability: To be advised in class


Pre-requisite Courses and Assumed Knowledge and Capabilities

Nil


Course Description

Chemical Engineers must have an appreciation of the accuracy and reliability of measurements. This course provides a broad introductory knowledge of statistical techniques used in data analysis.  It also seeks to link the measurement of various quantities with Statistics to enable the analysis of the accuracy of the measurements. The measurement takes place in the context of experiments relating to a number of other courses taught in the second year of the program.

 


Objectives/Learning Outcomes/Capability Development

This course develops your ability to conduct selected laboratory experiments relevant to Chemical Engineering, analyse data and draw conclusions.  In addition, the course allows for statistical interpretation of the data, both manually and using computer software.


After successful completion of this course, you will be able to
• Construct appropriate graphical displays of data and to understand the role of such displays in data analysis.
• Perform statistical inference tasks using software and to understand the calculations involved in such tasks and to be aware of assumptions necessary for the validity of results.
• Use and interpret MINITAB Software Package to summarize and analysis industry data.
• Make appropriate conclusions based on experimental results.
• Plan and execute an experimental program to determine the performance of a chemical engineering system
• Evaluate the accuracy of the measurements taken
• Communicate the results of the investigation in a number of ways
 


Overview of Learning Activities

This is a lecture/tutorial and laboratory-based course. Material from Laboratory exercises will be used in exploring the theoretical and practical study of statistics. The experience gained in Statistical analysis will contribute to the efficacy of the Laboratory program.
 

Lectures will present the underlying theory of statisitcal analysis for Chemical Engineering applications.  A weekly computer laboratory class will reinforce the material covered in lectures and in each student’s personal study. The computer lab class is designed to assist understanding and to provide two-way feedback.   Abilities to think critically and analytically will be addressed in more challenging (non routine) problems.   Students are encouraged to discuss the given laboratory problems amongst themselves and to seek help from, and interact with, the practice class tutors.

 


Overview of Learning Resources

There is a prescribed textbook for this course. 


Overview of Assessment

The assessment includes laboratory reports, statistics assignments  and  examination