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.
The purpose of this course is to provide introduction to fundamental concepts in the field, to provide fundamental tools for designing, controlling, and mining healthcare data.
The course is meant to be a project-oriented taste of the healthcare data world.