Introduction to Data Analytics and Artificial Intelligence#

General#

• The course gives you an overview of the methods of data analytics and artificial intelligence, their possibilities and applications as well as the most commonly used programming environments and libraries.
• The following content will be included in the course
  • Definitions of data analytics and artificial intelligence
  • Practical applications of artificial intelligence
  • Examples and principles of machine learning and neural networks
  • Data analytics programming languages and environments: Python, R, Anaconda, Pandas

Course objective#

• Student knows the definitions and the most important concepts of data analytics and artificial intelligence
• Student can utilize programming languages such as Python and R for basic data analytics
• Student has the ability to use Anaconda as programming environment for Python and R languages

Grading#

• Course has ten sets of exercises to be evaluated
• Each exercise set has four exercises and thus is worth 4 points
• The course grade will be determined according to score table presented below

Points [X/40p]	Grade
20	1
24	2
28	3
32	4
36	5