CHEE2825
10 units
2000 level
Course handbook
Description
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.
Availability2024 Course Timetables
Callaghan
- Semester 2 - 2024
Learning outcomes
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
Content
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.
Requisite
This course replaces CHEE2820. If you have successfully completed CHEE2820 you cannot enrol in this course.
Assumed knowledge
CHEE1000, MATH1110, MATH1120, ENGG1500, PHYS1210 and ENGG1003
Assessment items
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
Contact hours
Semester 2 - 2024 - Callaghan
Computer Lab-1
- Face to Face On Campus 2 hour(s) per week(s) for 3 week(s)
- Weeks 3, 6, 9 2 x 2 hour session per week (students attend one of the two sessions)
Laboratory-1
- Face to Face On Campus 3 hour(s) per week(s) for 4 week(s)
- Weeks 2,5,8,10 3 x 3 hour sessions per week (students attend one of the three sessions)
- Compulsory Requirement: Students must meet the compulsory attendance requirement.
Lecture-1
- Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 1
- 3 separate sessions
Lecture-2
- Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 1
- 3 separate sessions
Lecture-3
- Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 1
- 3 separate sessions
Course outline
Course outline not yet available.
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