Probability Theory for EOR

Uitgebreide vaknaam	Probability Theory for EOR
Leerdoelen	Upon completion of the course the student is able to: a. Define the following key concepts, and apply these in mathematical problems: 1. random variable, 2. joint/marginal/conditional probability distributions, 3. expectation, 4. moment generating function. b. Calculate probabilities using: 1. combinatorics 2. set theory and the axioms of probability 3. probability distributions. c. Apply the concepts to calculate key properties of discrete random variables for several important probability distributions.
Omschrijving	There are two lectures each week in which the theory from the book is discussed, and various examples are given. In addition, there are weekly two-hour practical sessions. We discuss Chapters 1 through 5 of the textbook. The material discussed in this course is used amongst others in Probability Distributions in period 2.1, and Estimation and Testing in period 2.2.
Uren per week	6
Onderwijsvorm	hoorcolleges, practica
Toetsvorm	schriftelijk tentamen met open vragen, tussentoets(en) (Final exam 80%, Midterm 20%)
Vaksoort	propedeuse
Coördinator	dr. T. Boot
Docent(en)	dr. T. Boot , W.J. Leusink , student-assistants
Verplichte literatuur	Titel Auteur ISBN Prijs John E. Freund's Mathematical Statistics with Applications, 8th ed. Miller, I., M. Miller
Entreevoorwaarden	Admittance to the BSc EOR. The students are expected to know and be able to apply the subjects treated in Mathematics I (mathematical induction, calculation of integrals in one variable)
Opmerkingen	Info: Dr Tom Boot, phone: +31(0)50 36 34001, e-mail: t.boot@rug.nl Secr: Martine Geerlings-Koolman, phone: +31(0)50 36 37018, e-mail: m.a.koolman@rug.nl
Opgenomen in	Opleiding Jaar Periode Type BSc Econometrics and Operations Research/EOR  (basisprogramma BSc EOR) 1 semester I b verplicht