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SC5202 - Quantitative Methods in Science

Credit points: 3
Year: 2020
Student Contribution Band: Band
Administered by: College of Science and Engineering

An introduction to experimental and survey design and analysis. Topics include the principles of sampling design; hypothesis generation for experiments; collection of data; manipulations and interpretation of data; statistical methods used in science; and the use of data in scientific reports.

Learning Outcomes

  • demonstrate sound knowledge of the basic principles that underpin sample selection, experimental design, data management, statistical theories, exploratory data analysis, and statistical analysis using basic linear modelling;
  • effectively integrate and execute statistical theories and processes using R and RStudio;
  • create, retrieve, analyse, synthesise, and evaluate outputs produced from R and RStudio, including demonstrating rigorous workflow documentation;
  • integrate statistical principles, methods, techniques and tools covered in this subject to plan and execute a statistical analysis.

Subject Assessment

  • Invigilated > Other exams - (20%)
  • Invigilated > Quizzes or tests - (10%)
  • field report - (20%)
  • Invigilated > Centrally-administered final exam - (50%).
Inadmissible
Subject
Combinations:
BS2001 BS5001 BZ5001 BZ2001 SC2202 SC2209

Availabilities

Townsville, Internal, Study Period 1
Census Date 26-Mar-2020
Coordinator: Dr Megan Higgie
Lecturers: Assoc. Professor Will Edwards, Dr Megan Higgie, Dr Ana Palma Gartner, Professor Yvette Everingham.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 39 hours lectures
  • 26 hours tutorials
  • assessment and self-directed study

Cairns, Internal, Study Period 1
Census Date 26-Mar-2020
Coordinator: Assoc. Professor Will Edwards
Lecturers: Assoc. Professor Will Edwards, Dr Megan Higgie, Dr Ana Palma Gartner, Professor Yvette Everingham, <Person not found>.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 39 hours lectures
  • 26 hours tutorials
  • assessment and self-directed study

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.