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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.
  • Introduction to Computer Science (10016)
    • תקציר הקורס:

    Abstract:

    I?nput and output, arithmetics and logical expressions. conditions, loops, f?unctions, lists, sorting and searching and recursions.
  • Computational Models (10215)
    • תקציר הקורס:

    Abstract:

    Students will learn about models of computing machines: finite automata,

    pushdown automata, and Turing machines. Students will demonstrate knowledge

    of Formal languages, their descriptions, and their relationships to the

    computational models; Students will learn the limits of the various models.
  • 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.
  • Robotics and Reinforcement Learning (65026)
    • תקציר הקורס:

    Abstract:

    Multi-agent systems (MAS) is a subfield of artificial intelligence that investigates systems composed of multiple interacting intelligent agents. These agents can be software programs, robots, or humans, and they operate in a shared environment. The study of MAS focuses on the design, analysis, and implementation of such systems, particularly on understanding the interactions, cooperation, and competition among agents. Key research areas include agent modeling, communication protocols, coordination mechanisms, and the application of MAS to real-world problems.