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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

ATHK1001: Analytical Thinking

Analytical Thinking is a course covering aspects of research design, interpretation of data, analysis, logic, and thinking processes. It is comprised of three sections: Data Concepts and Analysis; Logic and Basic Arguments; and Research and Everyday Reasoning. The section on Data Concepts and Analysis covers aspects of research design, data collection, and basic forms of hypothesis testing and statistical tests are introduced. The Logic and Basic Arguments section covers material ranging from valid and invalid forms of argument and errors in reasoning to critiques of arguments presented in case studies. The Research and Everyday Reasoning section examines how arguments and scientific evidence are presented and interpreted in the media, society, and interpersonal interactions. Together, the three course components teach foundational skills necessary for carrying out meaningful academic discussions, arguments, and research studies, which may be applied to any content area of scholarly enquiry.

Code ATHK1001
Academic unit Psychology Academic Operations
Credit points 6

At the completion of this unit, you should be able to:

  • LO1. Demonstrate a basic conceptual understanding of descriptive statistics used across disciplines.
  • LO2. Demonstrate a basic conceptual understanding of inferential statistics used across disciplines, though not of their mathematical underpinnings.
  • LO3. Demonstrate basic skills in computing and data handling
  • LO4. Understand and evaluate the quality of data based on its sources and the different methods used to collect it.
  • LO5. Identify ways of approaching the exploration of a research question and understand potential sources of bias in information sources.
  • LO6. Demonstrate a basic understanding of how logic can help analytical thinking and use it to analyze problems, within your discipline and across disciplines.
  • LO7. Demonstrate an understanding of basic processes of thinking and why these could lead to errors in reasoning, the evaluation of data and of learning.
  • LO8. Communicate the results of data analysis and research appropriately through written work

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.