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SC2202 - Quantitative Methods in Science

Credit points: 3
Year: 2020
Student Contribution Band: Band 2
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

  • to develop the necessary computer skills for data management, analysis and graphical presentation;
  • to develop skills in selecting and applying appropriate analytical methods to scientific data;
  • to develop skills in the design, execution and reporting of scientific experiments and survey programs.

Subject Assessment

  • tutorial exams (25%)
  • field assignments (50%)
  • lecture exams (25%).
Assumed
Knowledge:
Students enrolling in this subject should have a good understanding of level 1 science, including at least two level 1 subjects.
Prerequisites: 6 credit points of level 1 subjects
Inadmissible
Subject
Combinations:
BS2001 BS5001 BZ5001 BZ2001 SC2209 SC5202

Availabilities

Townsville, Internal, Study Period 1
Census Date 26-Mar-2020
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

Townsville, Mixed attendance, Study Period 2
Census Date 27-Aug-2020
Face to face teaching (Tutorials throughout the semester)
Workload expectations:

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

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

Cairns, Internal, Study Period 1
Census Date 26-Mar-2020
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, Mixed attendance, Study Period 2
Census Date 27-Aug-2020
Face to face teaching (Tutorials throughout the semester)
Workload expectations:

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

  • 39 hours lectures - online
  • 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.