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 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 Bayes theorem 6 Achievement Indicator :
a Student can explain Bayes theorem
b)  Student can solve probability problem related to Bayes theorem
7.  Material                                          : Bayes theorem
8.  Lecture Activity                             : 5

 Step Component Activity Duration Method Media References Introduction Explain briefly the conditional probability 20' Discussion    and Exercise LCD, white/black board A: 1-30 B: 25-54 Main Activities 1. Explain Bayes theorem 2. 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'

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

12. Reference
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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