Silaby of Probability Theory - 12 : Discrete uniform, Poisson, and Geometric distributions

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 discrete uniform, Poisson, and Geometric distributions

6.  Achievement Indicator                              :

a)   Student can solve problems related to discrete uniform, Poisson, and Geometric distributions b)  Student  can  find  the  expectation,  variances  and  the  moment  generating  function  from

discrete uniform, Poisson, and Geometric distributions

7.  Material                                          : Discrete uniform, Poisson, and Geometric distributions

8.  Lecture Activity                             : 12

Step Component	Activity	Duration	Method	Media	References
Introduction	Explain briefly the material of special discrete distributions	20’	Discussion    and Exercise	LCD, white/black board	A: 91-124 B: 126-232
Main Activities	1.  Explain       discrete       uniform distribution 2.  Explain Poisson distribution 3.  Explain geometric distribution 4.  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.