40 x 120-minute lectures per semester
1 103.5 Units of topics
2 Admission into BSCHEAM-Bachelor of Science (Honours) (Energy and Advanced Materials)
2a Admission into BSCHFS-Bachelor of Science (Honours) (Forensic and Analytical Science)
2b Admission into BSCHNN-Bachelor of Science (Honours) (Nanotechnology)
2c Admission into BSCHCT-Bachelor of Science (Honours) (Clean Technology)
2d Admission into BSCHWS-Bachelor of Science (Honours)
2e Admission into BSCH-Bachelor of Science (Honours) (Enhanced Program for High Achievers)
2f Admission into BSCHCS-Bachelor of Science (Honours) (Chemical Sciences)
2g Admission into BSCHPS-Bachelor of Science (Honours) (Physics)
3 Admission into HBSC-Bachelor of Science (Honours)
4 Admission into HBSC-CPSC-Chemical and Physical Sciences
4a Admission into CPSC-HP-Chemical and Physical Sciences
5 36 Units of topics
6 Admission into MSCCM-Master of Science (Chemistry)
6a Admission into MNT-Master of Nanotechnology
6b Admission into MSCPS-Master of Science (Physics)
Must Satisfy: ((1 and (2 or 2a or 2b or 2c or 2d or 2e or 2f or 2g)) or (3 and (4 or 4a)) or (5 and (6 or 6a or 6b)))
Enrolment not permitted
1 of CHEM4703, CHEM4723, CHEM8723, CTEC4101, CTEC8701, FACH4703, FACH8703, NANO4711, NANO8711, PHYS4701, PHYS4711, PHYS4721, PHYS4731 has been successfully completed
Assumed knowledge
Successful completion of either a three year degree or the first three years of the four year degree (108 units).
Topic description
The topic will cover advanced topics in research techniques across a range of disciplines including chemistry, physics, nanotechnology, clean technology and forensic science. The modules will cover advanced topics in instrumentation use, theory of techniques, data interpretation and manipulation and overlapping information from different techniques.
Educational aims
The topic aims to:

  1. Develop a high level of understanding of the operation and use of complex, advanced instrumentation core to research programs
  2. Develop a high level understanding of the theory behind the instruments
  3. Develop advanced levels of data interpretation skills
Expected learning outcomes
At the completion of this topic, students are expected to be able to:

  1. Have the ability to understand and interpret the data from cutting edge from a variety of sources
  2. Have the ability to analyse and interpret data from a range of instrumentation, equipment and other sources