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Courses
- Statistics (10015) Course summary:
- Introduction to Computer Science (10016) Course summary:
- Introduction to Artificial Intelligence (19101) Course summary:
- Health Information System and Telemedicine (50214) Course summary:
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.Abstract:
I?nput and output, arithmetics and logical expressions. conditions, loops, f?unctions, lists, sorting and searching and recursions.Abstract:
This course aims to give the students a basic foundation in Artificial Intelligence (AI) techniques. The first part of the course will focus on fundamental AI concepts of Search & Planning. The second part will include Probabilistic reasoning. The theoretical material will be supported by examples and practical applications.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.