Course level

Undergraduate

Faculty

Science

School

Biological Sciences School

Units

2

Duration

One Semester

Class contact

1L, 2P, 3T

Prerequisite

BIOL2006 or BIOL2106

Recommended prerequisite

Assessment methods

Communication portfolio, assignments, quizzes, exam

Course coordinator

Dr Simon Blomberg

Current course offerings

Course offerings Location Mode Course Profile
Semester 1, 2018 St Lucia Internal Profile unavailable

Please Note: Course profiles marked as not available may still be in development.

Course description

This course will be first offered in Semester 1, 2017.
Communication and Analysis of Biological Data is a practical, skills based course, useful for a variety of science related career paths. The course integrates the analysis and modelling of common types of biological data with effective ways of communicating the results to a range of different audiences. The course builds upon and extends students' knowledge of statistical techniques learned in BIOL2006 and when and how to apply them to biological data. It introduces students to some common mathematical models used in biology to predict complex biological outcomes and uses a hands-on approach to learning the use of R programming for data analysis. Without the ability to communicate results, the effort involved in obtaining them is rendered useless, hence the course has a strong emphasis on learning to clearly articulate statistical methods and results in writing and speaking so they are readily understood by other scientists and non-scientists, such as in industry or government. As well as specifically addressing the challenge of how to write and speak about complex topics such as uncertainty and sampling, this course will equip students with a variety of fundamental writing and speaking skills which will lead to improved performance in communication tasks in other courses and the workplace.

Archived offerings

Course offerings Location Mode Course Profile
Semester 1, 2017 St Lucia Internal Course Profile