Courses

סטטיסטיקה (10015)

Abstract:

Statistical analysis is a basic tool needed by every researcher. In this course, we will learn how to draw statistical conclusions from a dataset.

We will learn to compare distributions of different data types and 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 on representative examples using R programming language in the computer lab.

מבוא למדעי המחשב (10016)

Abstract:

I?nput and output, arithmetics and logical expressions. conditions, loops, f?unctions, lists, sorting and searching and recursions.

מבוא לבינה מלאכותית (19101)

Abstract:

The course provides a comprehensive foundation in the fundamentals of artificial intelligence. The first part focuses on Search and Planning concepts. The second part focuses on methods of Probabilistic Reasoning. The theoretical material is accompanied by examples.

מערכות מידע רפואית ומערכות רפ' מרחוק (50214)

Abstract:

With the growing mass of electronic healthcare records, healthcare data science has been spotted as the next field for potential technological breakthroughs.

A thoughtful analysis of this data will leads to revolution in decision-making processes and the management of healthcare systems.

The purpose of this course is to provide fundamental and advanced tools and concepts in designing, controlling, and mining healthcare data, using both pivotal advanced programming skills as well as cutting-edge integration tools.

This is a project-based course, meant to expand the students' proven abilities, both as advanced self-learners as well as hands-on program designers and builders.