Akademik Dersler - Tanıtım


Code - Course Title	İLT556 - Big Data Applications
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	ÖĞRETİM GÖREVLİSİ DOKTOR OKAN AKSU
Mode of Delivery	Face to face.
Prerequisites	No prerequisites and co-requisites.
Courses Recomended	None.
Recommended Reading List	Karabulut, A. N., & Pala, F. (2019). Büyük Veri ve İş Zekası: Kavramlar ve Uygulamalar. Nobel Akademik Yayıncılık.Karacan, H. (2018). Büyük Veri Çağında Veri Madenciliği ve Makine Öğrenmesi. Papatya Yayıncılık.Güngör, B., & Bayrak, B. (2017). Büyük Veri Analitiği ve Uygulamaları. Seçkin Yayıncılık.Demir, E. (2016). Büyük Veri: Geleceğin Değişen Dünyası. Beta Yayınları.
Assessment methods and criteria	1 midterm and 1 final exam
Work Placement	None.
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction and Basic Concepts.
Week - 2	Big Data Technologies and Infrastructure.
Week - 3	Data Mining and Machine Learning.
Week - 4	Big Data Analytics and Applications.
Week - 5	Big Data and Cloud Computing.
Week - 6	Big Data and Real-Time Processing.
Week - 7	Big Data and Artificial Intelligence.
Week - 8	Big Data and Social Media Analytics.
Week - 9	Big Data and Financial Applications.
Week - 10	Big Data Project Management and Application Development.
Week - 11	Big Data and Health Applications.
Week - 12	Mobile Internet Technologies and Big Data.
Week - 13	Transhumanism and Big Data.
Week - 14	Big Data Project Presentations and Evaluation.

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