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, including spreadsheets, for solving typical chemical and renewable energy 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.
Availability2021 Course Timetables
- Semester 2 - 2021
On successful completion of the course students will be able to:
1. Apply principles learnt in other chemical engineering and renewable energy engineering courses to practical situations
2. Identify and analyse the fundamental physical parameters of an experimental system
3. Write technical reports
4. Perform statistical analysis on data and conduct statistically designed experiments
5. Demonstrate laboratory and analytical skills, safety awareness and organisational skills
6. Demonstrate skills with numerical methods and computing applications
This course is comprised of two 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 and renewable energy 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.
This course replaces CHEE2820. If you have successfully completed CHEE2820 you cannot enrol in this course.
CHEE1000, MATH1110, MATH1120, ENGG1500, PHYS1210 and ENGG1003
Quiz: Safety Quiz
Quiz: Report Writing Quiz
Report: Lab Report (Group) (x2)
Report: Lab Report (Individual) (x2)
Report: Computer Lab Report (x3)
Quiz: Numerical Lab Quiz
In order to pass this course, each student must complete ALL of the following compulsory requirements:
General Course Requirements:
- Laboratory: There is a compulsory attendance requirement in this course. - To pass the course, students must attend laboratory sessions (see Learning Outcomes 1, 2 and 4).
- Laboratory: Induction Requirement - Students must attend and pass the induction requirements before attending these sessions. - Laboratory Induction - WH&S Requirement Before attending laboratory sessions students must complete the mandatory Laboratory Induction.
Face to Face On Campus 2 hour(s) per Week for 3 Weeks
Weeks 3, 6, 9 2 x 2 hour session per week (students attend one of the two sessions)
Face to Face On Campus 3 hour(s) per Week for 4 Weeks
Weeks 2,5,8,10 3 x 3 hour sessions per week (students attend one of the three sessions)
Face to Face On Campus 6 hour(s) per Week for 1 Weeks
Week 1 3 x 2 hour sessions
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.