Is there a reproducibility crisis in science? How can we strive for best practice research that yields high quality data that makes an impact in pharmacology? How can we translate drugs from bench to bedside, ensuring that they are safe and effective? This paper explores these questions in the context of a selection of techniques that are used in pharmacology. We will consider the importance of robust experimental design and analysis, explore challenges and opportunities and consider how what we learn can be applied to our own research and to interpreting the research of others.
PHAL 421 consists of a series of lectures and student led presentations, and is a requirement for both BSc(Hons) and MSc. The aim of this paper is to provide an advanced general course in pharmacology, with emphasis on experimental techniques and issues relating to pre-clinical experimental research. Statistical analysis of pharmacological data is a core component of this paper.
|Paper title||General Pharmacology and Toxicology|
|Teaching period||Semester 1 (On campus)|
|Domestic Tuition Fees (NZD)||$1,748.85|
|International Tuition Fees||Tuition Fees for international students are elsewhere on this website.|
Course Coordinator: Professor Debbie Hay (firstname.lastname@example.org)
- Teaching staff
Professor Debbie Hay
Professor Michelle Glass
Professor Paul Smith
Dr David Finlay
Dr Michael Garelja
- Paper Structure
100% internal assessment. No exam.
- Reading assignments on Perusall (10%)
- Module worksheets (20%)
- Editorial assessment of a published paper (20%)
- Group presentation (15%)
- Individual presentation (10%)
- Experimental design assignment (25%)
Textbooks are not required for this paper.
- Graduate Attributes Emphasised
- Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical
thinking, Ethics, Environmental literacy, Research, Self-motivation, Teamwork.
View more information about Otago's graduate attributes.
- Learning Outcomes
The aim of this paper is to provide an advanced general course in pharmacology and toxicology, with emphasis on experimental techniques and issues relating to preclinical experimental research. Statistical analysis of pharmacological data is a core component of this paper.