• Offered by Biology Teaching and Learning Centre
  • ANU College ANU Joint Colleges of Science
  • Classification Advanced
  • Course subject Biology
  • Academic career Postgraduate
  • Course convener
    • Miss Rachael Remington
    • Prof Allen Rodrigo
  • Mode of delivery In Person
  • Co-taught Course BIOL2202
  • Offered in Second Semester 2018
    See Future Offerings

This course will explore the ways biologists generate and assess evidence applying a variety of statistical techniques. The use of biological models from bacteria, plants and animals will be discussed, with their advantages and limitations. The value of different experimental approaches including hypothesis-driven research and large scale data generation, such as genome sequencing projects will be considered.  Quantitative reasoning and analysis will be introduced with examples of its application to biological problems.  Students will participate in practical exercises to develop and test hypotheses and then, as a group, compare and contrast the application of statistical approaches to interpret the data.

Learning Outcomes

On satisfying the requirements of this course, students will have the knowledge and skills to:

  1. Apply an advanced understanding of when to apply different experimental approaches in biology and how to use experimental models.
  2. Design biological experiments to address critical questions in biology.
  3. Demonstrate technical proficiency, appropriate analysis and interpretation of qualitative and quantitative data
  4. Describe, apply, and critically assess the results of relevant statistical techniques in the context of the analysis of biological measurements
  5. Integrate and apply the knowledge gained from specific research projects to problem solving in other areas of biology.

Indicative Assessment

    Assessment will be based on:
    • Short report write-ups (2 x 10%; LO 2, 3, 4)
    • Seed Practical Report (15%; LO 2, 3, 4)
    • Modelling Exercise worksheet (5%; LO 1, 3)
    • Quiz and Assignment  (2 x 10%)
    • Extra Writing Assignment ( 15%; LO 1, 5)
    • Exam (25%; LO 1, 4, 5)

      The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

      Workload

      Up to 65 contact hours per semester, involving two lectures per week, four practical sessions and up to six small and large tutorials.

      Requisite and Incompatibility

      To enrol in this course you must be studying 7609, 7629, 7631, 7632, 7650, 7652, MBIOS, VBIOS, MBIOT, MNEUR, VNEUR and VBIOT only.  Incompatible with BIOL2202.

      Assumed Knowledge

      Bachelor degree with first year biology; some knowledge of statistics.

      Fees

      Tuition fees are for the academic year indicated at the top of the page.  

      If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

      Student Contribution Band:
      Band 2
      Unit value:
      6 units

      If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

      Units EFTSL
      6.00 0.12500
      Note: Please note that fee information is for current year only.

      Offerings and Dates

      The list of offerings for future years is indicative only

      Second Semester

      Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
      8179 23 Jul 2018 30 Jul 2018 31 Aug 2018 26 Oct 2018 In Person

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