Department of Computer Science

Decision trees, association rules, clustering. Intrusion detection. Design and use of serial, distributed, and parallel data mining algorithms.

This course is the first part of a two-part series on software engineering. The course will concentrate on the principles and methods for requirements engineering and software system design. These concepts will serve as the foundation for subsequent stages such as implementation, validation, evaluation, and maintenance (covered in Software Engineering II). 

Parameter estimation, parametric classification, nonparametric classification, model selection and validation

This course covers an introduction to the fundamental principles and techniques of deep learning. Topics tackled include fundamental principles of artificial neural networks, neural network architectures, a survey of advanced neural network architectures, and regularization techniques, among others. 

Fundamentals of Programming

Data Models: Relational Model. Database Management System, Data Definition and Manipulation Language. Data security, integrity, synchronization, protection, and recovery. Principle database systems and query languages.