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 special discrete distributions
6.
Achievement Indicator
:
a)   Student can solve problems related to Bernoulli and binomial distributions
b)  Student  can  find  the  expectation,  variances  and  the  moment  generating  function  from
Bernoulli and binomial distribution
7.  Material                                          : Bernoulli and binomial distributions
8.  Lecture Activity                             : 11
Step
Component
Activity
Duration
Method
Media
References
Introduction
Explain briefly the material (special discrete distirbutions)
20’
Discussion    and
Exercise
LCD, white/black
board
A: 91-124
B: 126-232
Main
Activities
1.Explain Bernoulli distribution
2.Explain binomial distribution
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

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