Introduction to data science | Faculty of Technical Sciences

Subject: Introduction to data science (17.ESI056)

Type of studies	Title
Undergraduate Academic Studies	Power Software Engineering (Year: 4, Semester: Summer)

General information:

Category	Professional-applicative
Scientific or art field	Applied Computer Science and Informatics
ECTS	6

Mastering students with basic concepts of data science. Students should apply acquired knowledge in anaysis, study and solving real problems.

Acquisition of modern knowledge and skills in data science. The student is trained to analyze, study and solve real problems using the acquired knowledge.

Basic concepts of data science. Algorithms in data science. Application of mathematical statistics methods in data science. Statistical deriving conclusion. Statistical tests. Sampling correlation and regression. Modeling based on computer intelligence (artificial neural networks, decision trees, associative rules, fuzzy logic, support vector machine, genetic algorithm, etc.). Expert systems. Application of artificial intelligence methods in data science. Big data analysis. Predictions and evaluations. Classification. Application of data science in different fields. Analysis of concrete examples.

Lectures. Computer excercises. Consultations. The theoretical part of knowledge is exposed in the lectures. At the same time, practical part of knowledge is exposed in the computer excercises.

Authors	Title	Year	Publisher	Language
Srinivas Sajja, P., Akerkar, R.	Advanced Knowledge Based Systems : Models, Applications & Research	2010	TMRF e-Book	English
Cotton R.	Learning R	2013	O’Reilly Media, Inc.	English
Berthold, M.R.	Bisociative Knowledge Discovery : An Introduction to Concept, Algorithms, Tools, and Applications	2012	Springer	English
ONeil C., Schutt R.	Doing Data Science	2013	OReilly Media, Inc.	English
Ethem Alpaydin	Introduction to Machine Learning	2004	MIT Press	English
M. Magdon-Ismail, Y. AbuMostafa	Learning from Data	2012	AMLBook	English
Marz, N., Warren, J.	Big Data : Principles and best practices of scalable realtime data systems	2015	Manning Publications, New York	English
Sean Gerrish	How Smart Machines Think	2018	MIT Press	English