BDA5003 Creating Value from Data and Strategic Use Case GenerationBahçeşehir UniversityDegree Programs BIG DATA ANALYTICS AND MANAGEMENT (ENGLISH, NONTHESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementBologna CommissionNational Qualifications
BIG DATA ANALYTICS AND MANAGEMENT (ENGLISH, NONTHESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
BDA5003 Creating Value from Data and Strategic Use Case Generation Fall 3 0 3 8
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level:
Mode of Delivery:
Course Coordinator :
Course Objectives:

Learning Outcomes

The students who have succeeded in this course;

Course Content

Weekly Detailed Course Contents

Week Subject Related Preparation

Sources

Course Notes / Textbooks:
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Evaluation System

Semester Requirements Number of Activities Level of Contribution
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PERCENTAGE OF SEMESTER WORK % 0
PERCENTAGE OF FINAL WORK %
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Contribution of Learning Outcomes to Programme Outcomes

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Program Outcomes Level of Contribution
1) To be able to follow and critically analyze scientific literature and use it effectively in solving engineering problems.
2) To be able to design, plan, implement and manage original projects related to Big Data Analytics and Management.
3) To be able to carry out studies on Big Data Analytics and Management independently, take scientific responsibility and critically evaluate the results obtained.
4) Effectively present the results of his/her research and projects in written, oral and visual form in accordance with academic standards.
5) To be able to conduct independent research in the field of Big Data Analytics and Management, develop original ideas and transfer this knowledge to practice.
6) Uses advanced theoretical and practical knowledge specific to the field of Big Data Analytics and Management effectively.
7) Acts in accordance with professional, scientific and ethical values; takes responsibility by considering the social, environmental and ethical impacts of engineering applications.