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| BIOL 52101 - Experimental Design And Quantitative Analysis In The Life Sciences |
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Credit Hours: 3.00. This course is aimed at preparing our students in experimental design and quantitative analysis specifically applied to the Life Sciences in order to read the scientific literature critically, generate scientific questions, hypotheses and predictions, design research studies, analyze the data statistically, and communicate results. The course will use R and RStudio, which are open-source platforms that are increasingly used in the scientific community to analyze data quantitatively.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning Offered By: College of Science Department: Biological Sciences Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Understand the logic behind the scientific method in Life Sciences. 2. Be able to pose research questions, hypotheses, and predictions. 3. Understand the benefits and limitations of statistical testing. 4. Design a research study following experimental design principles. 5. Understand and critically assess data collection. 6. Interpret and visualize the results of statistical tests. 7. Communicate and present quantitative results effectively (i.e., writing the Results section of a scientific paper). 8. Run statistical analyses and generate publication quality figures in R. Restrictions: May not be enrolled as the following Classifications: Freshman: 15 - 29 hours Sophomore: 45 - 59 hours Freshman: 0 - 14 hours Sophomore: 30 - 44 hours |
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