CENG 514 Data Mining is a course offered by the Department of Computer Engineering at METU. It is part of the Spring 2015-2016 academic term. The course focuses on the techniques and methods used in data mining, which involves extracting patterns and knowledge from large datasets. Data mining is a crucial area in computer engineering, as it plays a significant role in various fields such as business intelligence, machine learning, and data analysis. The course is designed to provide students with a comprehensive understanding of data mining concepts, algorithms, and applications. It covers topics such as data preprocessing, data cleaning, data transformation, data mining techniques, and evaluation methods. Students will learn how to apply these techniques to real-world problems and gain hands-on experience with data mining tools and software. The course is intended for students who have a solid foundation in computer engineering and are interested in exploring the field of data mining. It is an advanced course that requires a good understanding of programming and data structures. The course is offered once a year, during the spring semester, and is open to both undergraduate and graduate students. The goal of the course is to equip students with the skills and knowledge necessary to perform data mining tasks effectively and efficiently. Overall, CENG 514 Data Mining is an important course that helps students develop the ability to analyze and interpret large datasets, which is essential in today's data-driven world.CENG 514 Data Mining is a course offered by the Department of Computer Engineering at METU. It is part of the Spring 2015-2016 academic term. The course focuses on the techniques and methods used in data mining, which involves extracting patterns and knowledge from large datasets. Data mining is a crucial area in computer engineering, as it plays a significant role in various fields such as business intelligence, machine learning, and data analysis. The course is designed to provide students with a comprehensive understanding of data mining concepts, algorithms, and applications. It covers topics such as data preprocessing, data cleaning, data transformation, data mining techniques, and evaluation methods. Students will learn how to apply these techniques to real-world problems and gain hands-on experience with data mining tools and software. The course is intended for students who have a solid foundation in computer engineering and are interested in exploring the field of data mining. It is an advanced course that requires a good understanding of programming and data structures. The course is offered once a year, during the spring semester, and is open to both undergraduate and graduate students. The goal of the course is to equip students with the skills and knowledge necessary to perform data mining tasks effectively and efficiently. Overall, CENG 514 Data Mining is an important course that helps students develop the ability to analyze and interpret large datasets, which is essential in today's data-driven world.