In this course, students will gain an understanding of how best to conduct data analysis experiments utilizing data specific to biotechnology applications. Hands-on exercises involve using computer software programs such as Matlab and JMP. Data input/manipulation, descriptive and inferential statistics, hypothesis testing, curve fitting, and Matlab coding will be covered. Upon completion of the course, students should be able to conduct data analysis experiments within the context of biotech. No credit for students who have taken BSCI 797 "SpcTop/Num & Statistical Analysis".
Prerequisite(s): CHEM 403 with minimum grade of C- and (BIOL 413 with minimum grade of C- or BIOL 411 with minimum grade of C- )
Attributes: Scheduled meeting time, Online (no campus visits), EUNH