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Course Code: 
ISE 412
Course Period: 
Spring
Course Type: 
Core
Credits: 
3
Theoric: 
3
Practice: 
0
Laboratory Hour: 
0
ECTS: 
5
Course Language: 
English
Courses given by: 
Course Objectives: 
The aim of this course is to examine the interaction of statistics, data analysis and machine learning with modern data science tools and to include the process of data science from data collection to the development of learning algorithms.
Course Content: 

Topics covered include: Introduction to programming with R; data manipulation and missing data analysis; exploratory data analysis and data visualization; supervised and unsupervised machine learning.

Course Methodology: 
1: Lecture, 2: Question-Answer, 3: Lab, 4: Case study
Course Evaluation Methods: 
A: Exam, B: Experiment, C: Homework, D: Project

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