Scientific Computing and Analytics in Environmental Science

Scientific computing is an essential skill for a wide variety of scientific disciplines, including many areas of Environmental Science. In this class, students will acquire the expertise needed for efficient scientific computing in the context of environmental science. These skills will include the basic “ETL--Extract, Transform, and Load” abilities highly sought after by today’s data-driven businesses and industries. Students will learn how to extract the necessary data for use in solving a problem, transform that data by performing statistical analyses on it, and load that data into other formats such as figures or databases. This course will focus on developing these skills while placing particular emphasis on techniques and tools most frequently needed within the environmental sciences. Due to the nature of this course and the subject material, students will need to have access to a laptop that is not a Chromebook that they can bring with them to lectures to complete course work.

Term 202440 #42183 EVSC01330
Permalink:
Instructor
Meeting Times
Location: DISCOV 215 (M)
@ 09:30 - 10:45
From 2024-09-03 to 2024-12-19
Enrollment

13

seats available

13

currently enrolled

26

maximum enrollment

Section Tally

The information displayed within is from the respective higher education institution(s).

Contact info@sectiontally.com for any questions or concerns.