|Year of offer||2019|
|Subject level||Graduate coursework|
|Fees||Subject EFTSL, Level, Discipline & Census Date|
This subject will outline advanced methods in the automation of chemical analysis based on the use of batch, robotic and flow analysers. There will be a particular emphasis on flow injection and sequential injection analysis, focussing on clinical, industrial and environmental applications.
Intended learning outcomes
- Demonstrate an understanding of the benefits of automatic chemical analysis and decide if the purchase of an automatic analyser is economically justified.
- Demonstrate an understanding of features of the main types of automatic chemical analysers.
- Demonstrate an understanding of fundamental principles flow analysis and potential applications of flow analysers.
- Demonstrate an increased knowledge and understanding of chemical science
- Use investigative skills, critical thought and the ability to evaluate information and to analyse experimental data.
- advanced problem-solving and critical thinking skills
- an ability to evaluate the professional literature
- an understanding of the changing knowledge base
- a capacity to apply concepts developed in one area to a different context
- the ability to use conceptual models to rationalize experimental observations
Eligibility and requirements
Core participation requirements
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
- At the 9-lecture mark each subject will be assessed by a written assignment of 1000 words during the subject (25%)
- 1.5 hour of examination after completion of the subject (this is seen as equivalent to 1500 words) (75%)
Dates & times
Principal coordinator Colette Boskovic Mode of delivery On Campus — Parkville Contact hours Total time commitment 85 hours Teaching period 18 March 2019 to 12 April 2019 Last self-enrol date 22 March 2019 Census date 29 March 2019 Last date to withdraw without fail 12 April 2019 Assessment period ends 26 April 2019
Additional delivery details
There are no specifically prescribed or recommended texts for this subject.