Elementary Probability
Overview
Description
This course will introduce the student to the basic elements of discrete probability including: sample spaces, rules of probability, independence, conditional probability, Bayes' Theorem, discrete multivariate distribution, covariance, correlation and various special discrete distributions. It will also cover a small amount of integral calculus and introduce the student to the Normal distribution and the Central Limit Theorem. This course is not open to students who have completed MTH 3020 or MTH 3030 or MTH 4120
Career
Undergraduate
Credits
Value
3
Max
3
Min
3
Course Count
1
Number Of Credits
3
Number Of Repeats
1
Repeatable
No
Contact Use
Yes
Generate Attendance
No
Left Use
Yes
Present Use
Yes
Reason Use
Yes
Tardy Use
Yes
Template Override
No
Time Use
Yes
Attendance Type
Class Meeting
Auto Create
No
Code
LEC
Instructor Contact Hours
3
Default Section Size
35
Final Exam Type
Yes
Include in Dynamic Date Calc
No
Instruction Mode
In Person
LMS File Type
Blackboard CourseInfo 4
Name
Lecture
OEE Workload Hours
0
Optional Component
No
Preferred Room Features
Academic Scheduling
Workload Hours
3