Akademik Dersler - Tanıtım


Code - Course Title	PLT523 - Introduction to Data Science with Python
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	2+1
ECTS	7.5
Course Instructor(s)	DOÇENT DOKTOR AZİZ KABA
Mode of Delivery	In class
Prerequisites	No prerequisites for this course.
Courses Recomended	No recommendation.
Required or Recommended Resources	1. Mitchell, Tom M., Machine Learning, McGraw Hill, (1997),http://www.cs.cmu.edu/~tom/mlbook.html2. Simon Rogers and Mark Girolami, A First Course in Machine Learning, Chapman& Hall / CRC, (2012)
Recommended Reading List	Ian Goodfellow and Yoshua Bengio and Aaron Courville, Deep Learning, MIT Press, (2016)https://www.deeplearningbook.org/
Assessment methods and criteria	1 MidTerm, 1 Final Project
Work Placement	Final project is required in this lesson.
Sustainability Development Goals	Quality Education , Gender Equality , Reducing Inequalities , Sustainable Cities and Communities , Responsible Production and Consumption

Weeks	Topics
Week - 1	Bacis Concepts: Artificial Intelligence, Machine Learning,Deep Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Jupyter / Colab Environment
Week - 2	Python Recap:Data Types,IO,if-elif,while-for, functions
Week - 3	Python Recap:Data Types,IO,if-elif,while-for, functions
Week - 4	Python Recap: Pandas, Numpy, Matplotlib,Seaborn Libraries
Week - 5	Python Recap: Pandas, Numpy, Matplotlib,Seaborn Libraries
Week - 6	Linear Algebra and Probability Recap: Vector, Matrix, Tensor, Python Calculations,Bayes Rule,Probability Distribution Functions
Week - 7	Data preproccesing: categorical and numerical variable analysis
Week - 8	Data preproccesing: feature engineering
Week - 9	Data preproccesing: encoding
Week - 10	Data preproccesing: missing value analysis
Week - 11	Data preproccesing: outlier analysis
Week - 12	Aeronautics Applications
Week - 13	Aeronautics Applications
Week - 14	Project Presentations

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Project	1	40
Final Exam	1	60
Toplam (%)		100