Courses
- Statistics (10015) תקציר הקורס:
- Artificial Intelligence (10207) תקציר הקורס:
- Computational Models (10215) תקציר הקורס:
- Data Structures And Algorithms (10805) תקציר הקורס:
- Introduction To Programming Python (10824) תקציר הקורס:
- Selected Topics in Statistics and Optimization (60001) תקציר הקורס:
- Multi-Agent Systems (65022)
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.Abstract:
The course will introduce philosophy of AI,
knowledge presentation, algorithms for problem solving,
search algorithms and applying them in games programming.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.Abstract:
• Recursion, Sorting and Searching collections, Complexity of Algorithms, graph theory. Data analysis and data processing with python pandas package.תקציר:
מהו אלגוריתם, שיטות נומריות, משתנים, אוספים, קריאה והדפסה תוך שימוש בפורמטים, |