Quantitative Methods in Economics & Business (I)

    Course Code: 
    8160
    Semester: 
    2nd
    Compulsory Courses
    Professor: 

    ZACHARIADIS EMMANOUIL

    Course Description

    • Combinatorial Analysis
    • Sets
    • Probability and Conditional Probability
    • Discrete Random Variables
    • Continuous Random Variables
    • Jointly Distributed Discrete Random Variables
    • Jointly Distributed Continuous Random Variables
    • Central Limit Theorem

    Learning Outcomes

    Upon completion of this course, students will be able:

    • Determination of the number of possible outcomes
    • Differentiation between event and event probability
    • Calculation of how much likely an event is
    • Calculation of how much likely an event is under partial information that another event has taken place
    • Checking the independence of events
    • Define discrete and continuous random variables
    • Modeling of random processes using random variables
    • Understanding of the central tendency and dispersion of a random variable
    • Definition of random variable probability distributions
    • Understanding of the joint behavior of multiple random variables
    • Modeling of random processes involving multiple random variables
    • Understanding the concept of sampling and the sample mean
    • Stating the central limit theorem and applying it for solving practical problems.