Biological Data Analysis and Computing

University of Otago

Course Description

  • Course Name

    Biological Data Analysis and Computing

  • Host University

    University of Otago

  • Location

    Dunedin, New Zealand

  • Area of Study

    Biology, Zoology

  • Language Level

    Taught In English

  • Prerequisites

    (STAT 110 or STAT 115) and 54 200-level points from Science Schedule C

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • Credit Points

    18
  • Recommended U.S. Semester Credits
    3 - 4
  • Recommended U.S. Quarter Units
    4 - 6
  • Overview

    Uses real biological examples and computers, and deals with types of data and their acquisition; graphical and exploratory analysis; estimation and hypothesis testing; experimental design; computer-intensive methods and simulation.

    This paper covers experimental design and data analysis techniques widely used in the biological sciences, taught using the free software R.

    Course Structure
    24 lectures (30?45 minutes), with 24 corresponding tutorials (60?75 minutes) involving hands-on programming and data analysis using R, which are taught in computer labs (assisted by student demonstrators)

    Learning Outcomes
    Students will gain an understanding of key issues related to experimental design and data analysis. They will also learn to use the free software R to conduct a range of analyses (from basic to complex).

    Specific aims of the paper include:
    - Helping you design field or laboratory experiments
    - Helping you gather, present and interpret biological data
    - Enabling you to make recommendations and decisions about biological systems
    - Giving you a foundation for understanding, critically evaluating and using statistical data
    - Building up your knowledge slowly and thoroughly
    - Hopefully, helping reduce a possible fear or dislike of stats!

Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

Some courses may require additional fees.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.

Please reference fall and spring course lists as not all courses are taught during both semesters.

Availability of courses is based on enrollment numbers. All students should seek pre-approval for alternate courses in the event of last minute class cancellations

Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.