Dersin Bilgileri

Dersin Adı	Türkçe	Jeo-Enerji Verilerinin Analitiği
	İngilizce	Geo-Energy Data Analytics
Dersin Kodu	PET 328E	Kredi	Ders (saat/hafta)	Uygulama (saat/hafta)	Labratuvar (saat/hafta)
Dönem	-	3	3	-	-
Dersin Dili		İngilizce
Dersin Koordinatörü		Fazıl Emre Artun
Dersin Amaçları		1.Familiarize students with subsurface data types collected in oil, natural gas and geothermal engineering 2.Develop students’ ability to apply exploratory data analysis, data mining concepts to subsurface data with appropriate visualization and analysis techniques 3.Develop students’ ability to deal with large data sets through the use of modern computational tools and packages 4.Introduce students supervised and unsupervised machine learning algorithms for the development of prediction and classification models for subsurface data
Dersin Tanımı		Overview of data science concepts. Data types for subsurface energy resources. Basic principles of descriptive and inferential statistics. Exploratory data analysis and data mining as applied to subsurface data types. Data visualization. Introduction to supervised and unsupervised machine learning. Applications with modern computational tools and packages. Case studies for oil, natural gas and geothermal engineering.
Dersin Çıktıları		1.Define and classify different types of data collected for subsurface energy resources 2.Clean and process subsurface data using modern statistical computational packages for further analysis and visualization 3.Perform exploratory data analysis by creating and interpreting visual representations and statistical summaries of data related to subsurface energy resources 4.Design and train machine learning models for prediction and classification using supervised and unsupervised algorithms 5.Report data analytics and machine learning projects in an organized way and in reproducible formats
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