Akademik Dersler - Tanıtım


Code - Course Title	YİŞA304 - Big Data and Artificial Intelligence
Course Type	Required Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	5.5
Course Instructor(s)	DOÇENT UTKU ERDOĞAN
Mode of Delivery	On Campus
Prerequisites	none
Courses Recomended	It is recommended for students to have basic skills in Python Programming.
Recommended Reading List	Fernando Iafrate. 2018. Artificial Intelligence and Big Data: The Birth of a New Intelligence (1st. ed.). Wiley-IEEE Press.Online Lecture: AI for Everyone- Coursera
Assessment methods and criteria	1 midtterm, 1 homework, 1 final exam
Work Placement	None
Sustainability Development Goals	Industry, Innovation and Infrastructure

Weeks	Topics
Week - 1	Definition of Big data and Source of Big data
Week - 2	Big Data Examples with Applications: Logistic-Production
Week - 3	Big Data Examples with Applications: Health
Week - 4	Python Libraries: Pandas, Maplotlib,BeautifulSoup
Week - 5	SQL and SQlite with Python
Week - 6	NoSQL, MongoDB, Hadoop
Week - 7	Terminology of Artificial Intellegence, Machine Learning
Week - 8	A Python Library for Machine Learning : Scipy
Week - 9	Deep Learning
Week - 10	Python Libraries for deep Learning: Tensorflow-Keras-Pytorch
Week - 11	Python Libraries for deep Learning: Tensorflow-Keras-Pytorch
Week - 12	Workflow in AI projects
Week - 13	Teamwork in AI projects, examples of projects
Week - 14	Social effects of AI

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