Editing ISYE 3770

From Georgia Tech Student Wiki

Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.

The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then save the changes below to finish undoing the edit.

Latest revision Your text
Line 2: Line 2:
   
 
[[Category:Courses|^ISYE^ISYE]]
 
[[Category:Courses|^ISYE^ISYE]]
βˆ’
'''ISYE 3770: Statistics and Applications''' is a 3-credit course in applied statistics and probability. It is cross-listed with [[MATH 3770]] and [[CEE 3770]].
+
'''ISYE 3770: Statistics and Applications''' is a 3-credit course about applied statistics and probability, required for a number of majors. It is crosslisted with MATH 3670 and CEE 3770.
   
  +
== Workload ==
βˆ’
Note: some majors allow double-counting of ISYE 3770 for the Statistics requirement and as a non-major engineering elective.
 
 
Content is assessed through homework and assignments and exams. Use of statistical computer software such as Excel or R may be required in some homework assignments. ISYE 3770 is considered to be an easier class compared to equivalent MATH courses in probability and statistics.
   
 
== Topic List ==
 
== Topic List ==
Line 21: Line 22:
 
* Linear regression and multiple linear regression
 
* Linear regression and multiple linear regression
   
βˆ’
== Workload ==
+
== Prerequisite Knowledge ==
  +
The official prerequisites are MATH 2401 or 2411 or 24X1 (Calculus III) and CS 1316 or equivalent. This list isn't comprehensive as I was able to take the course without either of those. I think MATH 2550 and CS 1331 are probably okay alternatives.
Content is assessed through homework and assignments and exams. Use of statistical computer software such as Excel or R may be required in some homework assignments. ISYE 3770 is considered to be an easier class compared to equivalent [[Mathematics|math]] courses in probability and statistics.
 

Please note that all contributions to Georgia Tech Student Wiki are considered to be released under the Creative Commons Attribution-ShareAlike (see GT Student Wiki:Copyrights for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource. Do not submit copyrighted work without permission!

Cancel Editing help (opens in new window)