Skip to page content

Courses

  • Statistics (10015)
    • תקציר הקורס:

    Abstract:

    Statistical analysis is a basic tool needed by every researcher. In this course, we will learn statistical

    We will learn to compare distributions of different types of indices in different sample groups.

    We will learn parametric and non-parametric tests, we will learn to conduct variance analysis, correlation tests and linear regression.

    The topics will be studied in a theoretical way and will be practiced practically in computer exercises in the R language in the computer lab.
  • Data Structures and Algorithms (10805)
    • תקציר הקורס:

    Abstract:

    • Recursion, Sorting and Searching collections, Complexity of Algorithms, graph theory. Data analysis and data processing with python pandas package.
  • Introduction to Programming Python (10812)
    • תקציר הקורס:

    Abstract:

    By the end of this course, the students will be able to translate a computational problem into a computer program that solves it. This will be achieved using fundamental programming principles, such as algorithm flow-charts, condition and iteration structures, f?unction and subroutines recursion and programming complexity.