Here is the outline for the course.
Lectures valued at 55% & labs at 45% to correspond with relative effort and time required.
Excepting the only test, ALL other evaluation components are designed to ensure you generate useful, public products to begin to develop student portfolios of meaningful work.
Lecture Test 25%
Grant Proposal 20%
PechaKucha Presentation 10%
Lab report (report, data, meta-data, figures) 25%
Systematic review (review, data, meta-data) 20%
Final course grades may be adjusted to conform to Program or Faculty grades distribution profiles.
Upon successful completion of this course, students should be able to:
(1) Understand the core concepts of experimental design for any natural science experiment.
(2) Understand key terminology, semantics, and experimental design philosophies.
(3) Critically assess experiments.
(4) Provide visual heuristics and workflows for experiments.
(5) Be able to design & execute an effective experiment.
(6) Be able to publish a dataset in a public repository with well-articulated meta-data.
(7) Be able to clearly write a well-structured manuscript suitable for publication in PeerJ pre-prints.
(8) Understand the difference between systematic reviews and meta-analyses.
(9) Be able to do a systematic review, analyse the research, and summarize in a manuscript suitable for publication in PeerJ pre-prints.
(10) Be able to present a succinct presentation of a grant proposal for a viable research project.