Akademik Dersler - Tanıtım


Code - Course Title	BBO106 - Data Science
Course Type	Required Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+2
ECTS	5.0
Course Instructor(s)	ARAŞTIRMA GÖREVLİSİ DOKTOR TANSU TEMEL
Mode of Delivery	Distance Learning
Prerequisites
Courses Recomended
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria
Work Placement
Sustainability Development Goals	Health and Quality of Life , Quality Education , Industry, Innovation and Infrastructure , Sustainable Cities and Communities , Climate Action

Weeks	Topics
Week - 1	Introduction to Data Science and Big Data
Week - 2	Programming for Data Processing and Analysis
Week - 3	Data Cleansing, Preparation and Visualization
Week - 4	Scalable Data Analysis: Theories and Tools
Week - 5	Machine Learning for Big Data
Week - 6	Distributed Systems and Parallel Processing
Week - 7	Big Data Frameworks like Hadoop and Spark
Week - 8	NoSQL Databases and Scalable Storage Solutions
Week - 9	Cloud Computing and Big Data
Week - 10	Data Lakes and Data Storage Architect
Week - 11	Data Security and Privacy
Week - 12	Performance and Optimization Techniques
Week - 13	Scalability Issues and Solutions
Week - 14	Project Presentations

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0