STAT6100

Systems Thinking for an Integrated Workforce

10 Units

For industry, business and organisational personnel, and educators of the future workforce, an ability to break down siloed approaches to development and learning, engender efficient and effective systems and work effectively at the interface across the boundaries for the STEMM skills is pivotal for developing nimble, critical and creative thinkers and workplaces. This course provides an holistic, integrated approach for for managers and employees to be systems thinkers, developers and users. This course develops critical foundational thinking and methods to support effective and efficient systems, and for ensuring synergies, fundamental to an effective integrated STEMM workforce, may be realised and harnessed. Students will learn to critically appraise present management practice , choose and utilise appropriate techniques for assessing, describing and improving processes and their outcomes, and write reports describing and recommending ways to improve systems. This approach is fundamental in business, industry, education, evidence-based medicine and many other disciplines.

Faculty Faculty of Science
School School of Mathematical and Physical Sciences
Availability Semester 2 - 2018 (Callaghan)
Semester 2 - 2018 (Online)
Learning Outcomes

On successful completion of this course, students will be able to:

  1. Describe and defend the fundamental principles of Total Quality Management
  2. Understand and utilise fundamental principles underpinning holistic, integrated and analytic thinking within systems of both learning and practice
  3. Choose appropriate statistical techniques for improving processes
  4. Write reports describing processes and recommending ways to improve them
  5. Keep abreast of changes in, and practical applications of, the field of systems and process improvement.
  6. Understand the value of the process of learning and discovery.
Content

Specific topics covered include:

  • Total Quality Management and Integrated Systems
  • The Deming Quality philosophy (and that of other Quality theorists)
  • understanding variability of processes through statistical thinking
  • the role of management and leadership in a TQM organisation
  • the role of quality improvement teams and how to organise them
  • the “seven simple tools”;
  • data collection through surveys and experimental design;
  • basic statistical methods;
  • more advanced statistical techniques such as control charts, statistical process control and experimental design;
  • quality standards (ISO9000);
  • complementary quality techniques such as benchmarking
Assessment Items
  • Written Assignment: Assignment 1
  • Quiz: QUIZ
  • Written Assignment: Assignment 2
  • Journal: Journal
  • Formal Examination: Q-Team project or Essay and Final exam

Contact Hours

Callaghan and Online

Lecture

Face to Face On Campus 2 hour(s) per Week for Full Term

Workshop

Face to Face On Campus 2 hour(s) per Week for Full Term

Course Materials
  • Total Quality Management
Timetable 2018 Course Timetables for STAT6100
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