GE 461 Introduction to Data Science
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Introduction to data science fundamentals, techniques and applications; data collection, preparation, storage and querying; parametric models for data; models and methods for fitting, analysis, evaluation, and validation; dimensionality reduction, visualization; various learning methods, classifiers, clustering, data and text mining; applications in diverse domains such as business, medicine, social networks, computer vision; breadth knowledge on topics and hands-on experience through projects and computer assignments.
Credit units: 3 ECTS Credit units: 5, Prerequisite:
(CS 101 or CS 114 or CS 115) and (MATH 230 or MATH 255 or MATH 260) and (MATH 225 or MATH 241 or MATH 220).
Spring Semester (Selim Aksoy, Can Alkan, Shervin Rahimzadeh Arashloo, Fazlı Can, Tolga Çukur, Savaş Dayanık, Hamdi Dibeklioğlu, Ayşegül Dündar Boral, İbrahim Körpeoğlu, Cem Tekin, Eray Tüzün)
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