Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Vocational School Of Information Technologies
  • Department of Computer Technologies
  • Cloud Computing Operator Pr
  • Course Structure Diagram with Credits
  • Data Science
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BBO106 - Data Science
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+2
ECTS 5.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ŞENER AĞALAR
Mode of Delivery Distance Learning
Prerequisites
Courses Recomended
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

Content

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

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Observation
  • Drill - Practise
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • Questoning
  • Use time effectively
  • Problem solving
  • To work autonomously
  • Elementary computing skills
  • Decision making
  • Project Design and Management

Assessment Methods

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