Courses Bachelor Display 20202021
Course Description  To PDF  

Course title  Probability Theory  
Course code  EBC1024  
ECTS credits  6,5  
Assessment  Whole/Half Grades  
Period 


Level  Introductory  
Coordinator 
Michael Eichler For more information: m.eichler@maastrichtuniversity.nl 

Language of instruction  English  
Goals 
The purpose of the course is to introduce students to formal probabilistic concepts that are required for a theoretical understanding of statistical and econometric concepts. Students should be able to apply the acquired methods to problems in econometrics, economics, finance, and other fields.


Description 
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. THE INFORMATION PROVIDED HERE IS BASED ON THE COURSE SETUP PRIOR TO THE CORONAVIRUS CRISIS. AS A CONSEQUENCE OF THE CRISIS, COURSE COORDINATORS MAY BE FORCED TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UPTODATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS. Probability theory is the branch of mathematics concerned with analysis of random phenomena. It thus forms the mathematical foundation of statistics and is essential for understanding the quantitative analysis of large sets of data. The course covers the key concepts and tools from probability theory that are required at later points in the programme. Important topics are random variables and probability distributions, dependence between multiple random variables, and convergence of random variables. The course starts in period 4 and continues until the end of period 5.


Literature 
Casella G. & R.L. Berger, Statistical Inference, 2nd edition, Duxbury Press, Thomson Learning, 2002. ISBN 0534243126.
(We cover the first five chapters in this course. The sequel of the same book, Chapters 611, will be covered in the followup course Mathematical Statistics, code EBC2107). 

Prerequisites 
Differential and integral calculus, elements of mathematical analysis, linear algebra, and set theory.


Teaching methods (indicative; course manual is definitive)  Lecture / Assignment  
Assessment methods (indicative; course manual is definitive)  Participation / Written Exam  
Evaluation in previous academic year  For the complete evaluation of this course please click "here"  
This course belongs to the following programmes / specialisations 
