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 to the 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.
Not currently offered.
This Course was last offered in Semester 2 - 2017.
On successful completion of the course students will be able to:
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.
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.
CHEE1000, MATH1110, MATH1120, GENG1803, PHYS1210 and GENG1002
Report: Lab Report (Group)
Report: Lab Report (Individual)
Report: Computer Lab Report
In order to pass this course, each student must complete ALL of the following compulsory requirements:
General Course Requirements:
- Laboratory: Attendance Requirement - Students must attend a minimum number of these sessions. - Attendance in the laboratory sessions is compulsory. Unless accompanied by a medical certificate, late or no attendance to laboratory sessions will incur the following penalties: If you arrive late, but before completion of your group's pre-lab interview, you will be penalised for the pre-lab interview mark in proportion to how much of the interview you missed. After the pre-lab interview but less than 30 minutes late - zero marks for pre-lab interview. More than 30 minutes but less than 1 hour late - zero marks for pre-lab interview and the laboratory report mark will incur a 20% penalty. More than 1 hour late - zero marks for pre-lab interview and the laboratory report mark will incur a 50% penalty. No attendance to laboratory session - zero marks for that assessment item. In the case where there is a single report per group, only the student(s) that arrived late or did not attend the laboratory will incur a penalty, based on the mark awarded to the group report.
- Laboratory: Induction Requirement - Students must attend and pass the induction requirements before attending these sessions. - In order to participate in this course, students must complete a compulsory safety induction. See Course Objectives 4 and 5. Alternative arrangements to be made on a case-by-case basis with the Laboratory Manager.