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.