Top/Analysis Biological Data
Manchester
Coll of Professional Studies :: Biotechnology
Online Course Delivery Method: Online Synchronous
Credits: 3.0
Term: January 2024 - January Term - online (12/27/2023 - 01/19/2024)
Grade Mode: Letter Grading
Term: January 2024 - January Term - online (12/27/2023 - 01/19/2024)
Grade Mode: Letter Grading
Class Size:
10
CRN: 30103
CRN: 30103
This course explores and investigates advanced topics in biotechnology that would not normally be covered in other courses in the curriculum.
Section Comments: Course has additional asynchronous work
Repeat Rule: May be repeated for a maximum of 9 credits.
Cross listed with : BSCI 797.M1
Only listed majors in section: BIOTECH IBMS
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: Won Hyuk Suh
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 12/27/2023 | 1/19/2024 | TWR | 6:10pm - 9:00pm | ONLINE |
Additional Course Details:
In this course, students will learn how to approach data analysis acquired from biological experiments. Data input/manipulation, descriptive and inferential statistics, hypothesis testing, curve fitting will be covered via computer software programs such as Matlab and JMP. Upon completion of the course, students should be able to utilize Matlab and JMP to conduct biological data analysis experiments. This course has a strong emphasis on hands-on learning JMP and coding in Matlab.