EXPERIMENTAL DESIGN AND ANALYSIS IN BIOTECHNOLOGY

Prerequisites & course information

Requisites: Declared in MS Applied Biotechnology or Capstone Certificate in Applied Bioinformatics Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Apply statistical methods that are commonly used in experimental design in biotechnology research Audience: Graduate 2. Explain the rationale behind statistical procedures as it relates to experimental design Audience: Graduate 3. Select an appropriate statistical method and design experiments for a given experimental question Audience: Graduate 4. Implement statistical procedures using software, especially R and RStudio Audience: Graduate 5. Implement bioinformatic methods using a set of software tools Audience: Graduate 6. Communicate statistical findings in biotech research to stakeholders Audience: Graduate Learning Outcomes: 1. Apply statistical methods that are commonly used in experimental design in biotechnology research Audience: Graduate 2. Explain the rationale behind statistical procedures as it relates to experimental design Audience: Graduate 3. Select an appropriate statistical method and design experiments for a given experimental question Audience: Graduate 4. Implement statistical procedures using software, especially R and RStudio Audience: Graduate 5. Implement bioinformatic methods using a set of software tools Audience: Graduate 6. Communicate statistical findings in biotech research to stakeholders Audience: Graduate