Real World Problems in Analytical Chemistry - CHEM7124
Faculty: Faculty of Science
School: School of Chemistry
Course Outline: www.chem.unsw.edu.au
Campus: Sydney
Career: Postgraduate
Units of Credit: 6
EFTSL: 0.12500 (more info)
Indicative Contact Hours per Week: 3
Enrolment Requirements:
Only available to students who have completed at least 24 UoC in 8708 Master of Chemical Analysis and Lab Management
CSS Contribution Charge: 2 (more info)
Tuition Fee: See Tuition Fee Schedule
Further Information: See Class Timetable
View course information for previous years.
Description
Example problem scenarios are the setting up of a laboratory to provide environmental monitoring of a wide range of samples near to a new industrial site; providing quality control at a new pharmaceutical plant; testing for a range of contaminants at a disused industrial site scheduled for clean-up; testing a group of athletes for a range of prohibited substances.
The primary assessment task of the course will be to produce a proposal document that will describe how the problem scenario will be addressed.
The proposal will reflect the following tasks:
- Describe a real world problem that should be solvable by one or more analytical chemistry methods, ideally methods that have been covered in other units addressed in this course. Typically this problem will be a genuine problem that is encountered in the student's actual workplace or future industrial position or a problem that will be encountered in a student's current or future area of research.
- Survey possible techniques that may be used to address the problem and identify which techniques are likely to provide satisfactory outcomes.
- Review current literature to aid design of best practice methods for implementing the chosen experimental procedures. This will include identification of instrumentation and facilities required, availability, procurement, capital + running costs and business case or justification for the instrumentation and facilities. Safety issues must be addressed and a risk assessment produced.
- Predict the outcome of the experiments and explain how they will specifically address the problem at hand, how the results will be presented and highlight improvements over any currently used methods.