Probability Theory for EOR

Uitgebreide vaknaam	Probability Theory for EOR
Leerdoelen	Upon completion of the course the student is able to: 1.Quantify uncertainty using a coherent framework for probability. 2.Understand the concept of a conditional probability and use conditional probability as a problem solving tool. 3.Understand the concept of a random variable and derive properties of well-known discrete and continuous random variables. 4.Calculate the expected value of discrete and continuous random variables. 5.Simulate and visualize the outcomes of chance experiments on your computer.
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 6 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	hoor- en werkcolleges, practica
Toetsvorm	-groepsopdracht,  -individuele opdracht,  -schriftelijk tentamen (open vragen) (Final exam 75%, Assignments (10% Poll Everywhere Quiz + 15% reports ) 25%)
Vaksoort	propedeuse
Coördinator	dr. L. Kong
Docent(en)	dr. L. Kong , J.W. Ligtenberg, MSc. , student-assistants , C. Tan, MSc.
Verplichte literatuur	Titel Auteur ISBN Prijs Introduction to Probability, 2nd edition (E-book is available online for free) Blitzstein, Joseph K., Jessica Hwang
Entreevoorwaarden	Admittance to the BSc EOR or the pre-MSc EORAS (contact the programme coordinator for questions).
Opmerkingen	Info: Dr L. Kong, e-mail: l.kong@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 Pre-MSc-programma’s FEB  (Pre-MSc EORAS) 1 semester I b verplicht