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Course Description
In this course, concepts in probability theory will be studied including analysis of probability axioms, conditional probability, discrete and continuous random variables, basic and conditional probability theory, discrete special random variables (Bernoulli, Binomial, Geometric, Poisson), continuous special random variables (Uniform, Exponential, Normal). In this way, students will have the learning experience to think critically and be able to make the right decisions regarding the use of these concepts.
Program Objectives (PO)
- Mahasiswa mampu menjelaskan konsep-konsep dalam statistik dan teori probabilitas
- Mahasiswa mampu menjelaskan konsep pengukuran statistik
- Mahasiswa menjelaskan konsep Aksioma Probabilitas
- Mahasiswa menjelaskan konsep Probabilitas Kondisional
- Mampu menjelaskan konsep dalam Variable Acak
- Mampu menjelaskan konsep Spesial Random Variabel Diskrit dan Kontinu
- Mahasiswa menjelaskan konsep Joint Distributed Random Variable
- Mahasiswa menjelaskan konsep Conditional Probability pada Joint Distributed Random Variable
- Mahasiswa menjelaskan konsep Central Limit Theorem
Aktifitas Pembelajaran
-
Pertemuan 1 Konsep- konsep dalam teori probabilitas -
Pertemuan 2 Konsep pengukuran statistik -
Pertemuan 3 Konsep Aksioma Probabilitas -
Pertemuan 4 Konsep Aksioma Probabilitas -
Pertemuan 5 Konsep Probabilitas Kondisional -
Pertemuan 6 Konsep dalam Variable Acak -
Pertemuan 7 Konsep Ekspektasi -
Pertemuan 8 Ujian Tengah Semester (UTS) -
Pertemuan 9 Konsep Spesial Random Variabel Diskrit -
Pertemuan 10 Konsep Spesial Random Variabel Diskrit -
Pertemuan 11 Konsep Spesial Random Variabel Kontinu -
Pertemuan 12 Konsep Spesial Random Variabel Kontinu -
Pertemuan 13 Konsep Joint Distributed Random Variable -
Pertemuan 14 Konsep Joint Distributed Random Variable -
Pertemuan 15 Konsep Central Limit Theorem -
Pertemuan 16 Ujian Akhir Semester (UAS)
References
- Probability & Statistics for Engineers & Scientists NINTH EDITION, Ronald E. Walpole, Prentice Hall, 2011.
- Introduction to Probability for Engineers and Scientists 6thh ed., Sheldon M. Ross, Elsevier, 2020.
- Ross, Sheldon M, (2018). A First Course in Probability. Tenth Edition, Pearson.
- A Modern Introduction to Probability and Statistics Understanding Why and How, Dekking, F.M. et.al, 2005
- Introduction to Probability and Statistics for Engineers & Scientists, 4th ed., Sheldon M. Ross, Elsevier, 2009.
Lecturer
Difficult Things About Education.
$75$10
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