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.  D exercise  and   discus 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.

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