Silaby of Probability Theory - 25 : conditional expectation

1.	Faculty /Study Program	: MIPA/Mathematics Education
2.	Subject & Code	: Probability Theory, MAA 317
3.	The number of SKS	: Theory : 2 sks  Practice : 1 sks
4.	Semester and Duration	: IV, Duration : 100 minutes
5.	Based Competency	: To understand conditional expectation
6.	Achievement Indicator	:

a)   Student can get conditional expectation from probability mass functions

b)  Student can get conditional expectation from probability density functions

7.  Material                                          : Conditional expectation

8.  Lecture Activity                             : 25

Step Component	Activity	Duration	Method	Media	References
Introduction	Explain briefly the material (conditional probability)	20’	Discussion   and Exercise	LCD, white/black board	A: 171-188 B: 309-372
Main Activities	1. Explain    conditional   expectation from probability mass functions 2. Explain    conditional   expectation from probability density functionc 3. Do exercise and discuss the results	60’
Closing Activity	Conclude the entire materials and give tasks	10’
Further Activities	Invite the students to ask or give an opinion about the materials	10’

9. Evaluation

The evaluation is performed based on the student activities in discussion, doing exercise.

10. References

A.  Bain, Lee J. & Engelhardt, Max. 1992. Introduction to Probability and Mathematical

Statistics. Belmont: Duxbury Press.

B.  Ross, Sheldon M. 1998. A First Course in Probability. New Jersey: Prentice-Hall.