Course Description
This is an introductory course in computer programming for statisticians using Python. Emphasis is on designing algorithms, problem solving, and forming good coding practices: methodical development of programs from specifications; documentation and style; appropriate use of control structures such as loops, of data types such as arrays; modular program organization; version control. Students will become acquainted with core statistical computational problems through examples and coding assignments, including computation of histograms, boxplots, quantiles, and least squares regression.
FALL 2019
Instructors
Classes Start:
August 21, 2019
Classes End:
December 6, 2019
Location:
00623 Dabney Hall
Class Days:
T
Class Start Time:
4:30pm
Class End Time:
5:20pm
Class Type:
Problem Session
Credits:
0.00
Delivery Method:
In Person
Restrictions:
Restriction: Statistics majors only R: New Freshman in 17STBS
