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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
YOBS 538INTRODUCTION TO DATA SCIENCE3 + 11st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective This course lays the foundation for the more advanced courses related to data science and analytics. The broad goal of this course is to provide an introduction to the field of data science and familiarize students with the applications of statistical techniques and computational methods for analyzing data and extracting knowledge.
Course Content In this course, (1) statistical methods to summarize data and identify relationships (2) methods for formulating new hypotheses and drawing accurate conclusions from data and (3) techniques for statistical and computational analysis to make predictions based on data will be covered
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments24080
Mid-terms11313
Final examination11818
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes