APS6617 Scientific Skills and Project Management

Aims/Description: The aim of this module is to provide students with advanced training in the use of statistical methods and computers to visualise and analyse biological data which is necessary to pursue a research career in whole organism biology. Advanced principles of programming for data analysis, data interpretation and statistical analysis, and graphical presentation are stressed. The course is based on the statistical programming language R and the Integrated Development Environment RStudio. The course is comprised of eight introductory sessions delivered in Semester 1, and then a choice of two out of six specialist modules selected to support student-specific requirements in research. Semester 1 content is delivered as a mix of online recorded videos (watch this), a set of readings (read this) and a practical exercise (do this). This is supported by a weekly live mini-review lecture and Q and A, and a help session. Semester 2 content is delivered live via three to four 3-hour practical computing sessions (1 specialist module/week, 3-4 sessions per week).

Staff Contact: SMITH LISA M

Teaching Methods: Lectures, Seminars, Tutorials, Problem solving, Laboratory work, Independent Study

Assessment: Formal Exam

Information on the department responsible for this unit (Animal and Plant Sciences):

Departmental Home Page

Teaching timetable

NOTE The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.