Transfer Processes Laboratory
Available in 2013
|Callaghan Campus||Semester 2|
Previously offered in 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004
Comprises experiments related to various aspects of heat, mass and momentum transfer. After successfully conducting an experiment, the students need to write a well formatted technical report. In addition, the course will introduce students to numerical methods for solving typical chemical engineering problems. It also introduces the students tothe use of spreadsheets to solve chemical engineering design and process problems. The computational section also covers key statistical concepts and practice relating mainly to the following: normal distribution, 1 and 2 sample tests and confidence intervals, and the design of experiments.
|Objectives||1. To apply the process principles gained in other chemical engineering courses to practical situations
2. To obtain an understanding of fundamental physical parameters
3. To teach students to write technical reports
4. To perform statistical analysis on data and conduct statistically designed experiments.
5. To develop laboratory and analytical skills, safety awareness and organisational skills.
6. To develop the skills with numerical methods and computing applications.
|Content||This course is comprised of three components;
Part A : Laboratory
Students operate in groups, but submit separate written reports on the experiments they perform. Students must arrive on time in order to take advantage of the resources provided. A component of their laboratory mark will be based on their professional approach, which includes arriving on time, being well prepared, leaving the laboratory work area in a clean state, following the instructions of the supervisor, and adhering to safe work practices. Failure to meet these requirements could lead to a mark of 0 in this category. The rest of their marks are based on the submitted report.
Part B : Applied Computations and Introductory Statistics
The numerical methods part of the course introduces the students to spreadsheets and their application in solving chemical engineering problems. Students are also introduced to simple numerical methods, and are required to apply these to practical problems. This section of the course is also an introduction to applied statistical methods. The statistics module covers the analysis of data using descriptive statistics and simple graphical tools, identifying outliers, performing normal distribution calculations and determining confidence intervals.
|Assumed Knowledge||CHEE1000, MATH1110, MATH1120, GENG1803, PHYS1210 and GENG1002|
|Modes of Delivery||Internal Mode|
|Teaching Methods||Problem Based Learning
|Contact Hours||Tutorial: for 1 hour(s) per Week for Full Term
Laboratory: for 3 hour(s) per Week for Full Term
Lecture: for 2 hour(s) per Week for Full Term
|Timetables||2013 Course Timetables for CHEE2820|