Learning from Data in Clinical Research using R

Description  This micro-credential builds upon data manipulation and visualisation skills to cover statistical principles of good study design and data analysis using statistical modelling in the ...

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Legal Models of Human/Machine Cognition

Description  This micro-credential examines principles, models and definitions of human and machine intelligence, including consideration of the legal issues arising from the use of artificial int...

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Thu 03 Mar 2022 - Fri 04 Mar 2022

10:00 - 14:30

2 Sessions


AJ Mitchell


The impact of nuclear science in Australia is broad ranging and spans diverse public agencies and private industries relating to national security, the environment and biomedicine.
Using a combination of self-study, lectures and interactive sessions, this Micro-credential from ANU offers an introduction to the building blocks of visible matter in the Universe.
Studied in a graduate level learning environment, this Micro-credential aims to develop a deeper understanding of atomic nuclei, radioactive decay processes, and radiation detection methods.
You will discover the fundamental forces that bind the heart of the atom together, as well as theoretical frameworks that are used to describe and predict their behaviour. You will also explore the practical aspects of nuclear technology and measurement techniques, and their applications in industry. Part of the offering will be hosted at the Australian Heavy Ion Accelerator Facility. Here, you will undertake a hands-on introduction to nuclear measurement techniques with real-world research equipment.
In the context of the wide application of nuclear techniques, this micro-credential aims to introduce students to the key concepts in nuclear physics. These include:

  • Fundamental nuclear properties.
  • Nuclear binding energy and stability.
  • Nuclear transmutation and radioactive decay processes.
  • Exponential decay law and secular equilibrium.
  • Nuclear reactions, including fission and fusion.
  • Basic nuclear models and understanding nuclear data.

Learning outcomes

Upon successful completion, participants will have the knowledge and skills to:
  1. Explain basic properties of atomic nuclei and the forces that bind them.
  2. Recognize common types of nuclear reactions and radioactive decay.
  3. Explain the origin and properties of radiation emitted by unstable nuclei.
  4. Identify and interpret key characteristics in nuclear data.
  5. Interrogate web-based nuclear databases as tools for problem solving.

Indicative assessment

  • Assignment 1: Exercise problems 40%; LO1-3
  • Assignment 2: Measurement activity on radioactive decay half-lives; 60%; LO4,5

Assumed knowledge

This micro-credential is taught at graduate level and requires completion of an appropriate AQF7 qualification OR or equivalent professional experience.
Physics and/or mathematics at Year 12 (or equivalent), or relevant professional experience is desirable but not a formal requirement.

Micro-credential stack information

This micro-credential is undertaken as a stand-alone offering. Additional micro-credentials relating to radiation detection and measurement, as well as the nuclear fuel cycle and space radiation are currently under development. We welcome any enquiries relating to expanding micro-credential offerings in nuclear science. Please use the contact details below.


Course Code:

Workload: 21 hours
  • Contact hours: 7 hours
  • Individual study and assessment: 14 hours
ANU unit value: 1 unit
AQF Level: 8

Contact: Dr AJ Mitchell SFHEA, Department of Nuclear Physics and Accelerator Applications.

This Micro-credential is taught at a graduate level. This is not an AQF qualification.
No dates are currently scheduled.

This micro-credential includes one full-day session on campus at ANU.


Producing attractive, informative data visualisations is critical to the effective communication of quantitative data. This micro-credential introduces students to modern data exploration tools and strategies using the R language. Enrollees will learn how to quickly, efficiently and reproducibly extract insights from data and produce high-quality data visualisations. These skills will be developed and demonstrated using a range of complex datasets, across a range of applications including public health and the environmental sciences. The skills acquired in this unit are transferable to data from any domain.

Learning outcomes 

Upon successful completion, enrollees will have the knowledge and skills to:

  1. Work confidently within the R environment
  2. Import and manipulate datasets
  3. Create complex, customised visualisations
  4. Write R scripts that allow this work to be reproduced

Indicative assessment 

Enrollees will be provided with an example dataset, and will be tasked with exploring these data, producing a number of informative visualisations, and compiling these into a report alongside code and a brief discussion of each figure (approximately 1000 words total).

Assumed knowledge 

This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.

Micro-credential stack information 

This micro-credential may be undertaken as a stand-alone course.


Course Code: DATA09

Workload: 21 hours 

  • Contact hours: 7 hours
  • Individual study and assessment: 14 hours

ANU unit value: 1 unit

AQF Level: 9

Contact: Professor Eric Stone


This Micro-credential is taught at a graduate level.  This is not an AQF qualification.

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