| Language of instruction: |
Tr |
| Type of course: |
Departmental Elective |
| Course Level: |
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| Mode of Delivery: |
Face to face
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| Course Coordinator : |
Assist. Prof. SERKAN YEŞİLYURT |
| Course Objectives: |
The aim of this course is to provide students with a comprehensive understanding of the concept of big data, including how large-scale data is collected, processed, analyzed, and transformed into meaningful insights. Through theoretical and hands-on learning, students will explore various data sources, work with structured and unstructured data, and gain skills in data cleaning, data mining, visualization, and basic machine learning techniques. The course also introduces major big data infrastructures such as Hadoop and Spark, focusing on their architecture and practical applications. An important objective is to enable students to critically evaluate big data practices through the lens of ethics, privacy, and data security. By engaging with real-world datasets, students will develop practical analytical thinking and problem-solving skills aligned with current industry and research trends. |
|
Week |
Subject |
Related Preparation |
| 1) |
What is Big Data? Definition and History
|
None |
| 2) |
The 5Vs of Big Data (Volume, Velocity, etc.)
|
None |
| 3) |
What is Data Science and Who is a Data Scientist?
|
None |
| 4) |
Data Sources and Data Types
|
None |
| 5) |
Big Data Infrastructures: Hadoop and Spark
|
None |
| 6) |
Data Collection and Preprocessing
|
None |
| 7) |
Data Visualization Techniques |
None |
| 8) |
Data Analysis with Python |
None |
| 9) |
Introduction to Machine Learning |
None |
| 10) |
Big Data and Artificial Intelligence |
None |
| 11) |
Ethical, Privacy, and Security Issues |
None |
| 12) |
Big Data Applications from Real Life |
None |
| 13) |
Mini Project Presentations |
None |
| 14) |
Trends in big data technologies |
None |
|
Program Outcomes |
Level of Contribution |
| 1) |
Mastering the necessary concepts and theories in management, organization, marketing, finance, and human resources within businesses, and being able to make strategic decisions in these areas. |
|
| 2) |
Effectively applying the knowledge acquired in business administration to real-life work situations and solving complex business problems. |
|
| 3) |
Analyzing scientific research related to business administration, participating in such research, and developing innovative solutions. |
|
| 4) |
Proficient in the use of computer software and digital tools utilized in business management, and effectively applying technology in data analysis. |
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| 5) |
Possessing the necessary communication and responsibility skills for both individual and group work, and demonstrating leadership in multidisciplinary and multicultural teams. |
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| 6) |
Adopting the need for businesses to operate according to ethical values, social responsibility, sustainability, and fair management in employer-employee-consumer relations. |
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| 7) |
Updating knowledge and skills in line with changing market conditions and having the competence to develop innovative and sustainable business strategies |
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| 8) |
Analyzing problems encountered in businesses with an analytical approach, developing strategic solutions, and ensuring the implementation of these solutions. |
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| 9) |
Updating knowledge and skills in line with changing market conditions and having the competence to develop innovative and sustainable business strategies. |
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| 10) |
Preparing, implementing, and evaluating sustainability-focused investment projects that provide both commercial success and benefit to society in a product or service business |
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| 11) |
Understanding the importance of employee benefits, opportunities, and work environment within businesses, and adopting a management approach based on equality, ethics, and sustainability in the workplace. |
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