Intelligent Systems in Engineering Applications

Topics to be covered include: intelligent systems design, training and evaluation, decision trees, Bayesian learning, and reinforcement learning. A project will be required. (3 credits)

Advances in computer information systems, machine learning, statistics, and intelligent systems and methodologies for the automatic discovery of knowledge from large high-dimensional databases will be discussed. This course also uses engineering development tools such as neural networks, fuzzy logic, and genetic algorithms. (3 credits)

A study of the concept of fuzzy set theory is discussed including operations on fuzzy sets, fuzzy relations, fuzzy measures, fuzzy logic, with an emphasis on engineering application. Topics to be covered include fuzzy set theory, applications to image processing, pattern recognition, artificial intelligence, computer hardware design, and control systems. (3 credits)

Students will gain an understanding of the language, formalism, and methods of pattern recognition. Various solution approaches will be covered including statistical methods and neural network-based methods. Students will learn how to mathematically pose various pattern recognition problems and analytically derive some well-known statistical results and learning rules. In addition, the student will learn how to perform computer simulations of various statistical and neural network models and learn how to select appropriate model parameters, such as network architecture, hidden layer size, and learning rate. Case Studies will be presented to illustrate a variety of applications. (3 credits)

This course will cover the fundamental concepts of information engineering including computation, storage, communication, and application. Examples of topics are multimedia data such as video, audio, image and text, multimedia transmission through local and wide area networks, multimedia data representations, storage and compression. Information engineering applications will be discussed and students are expected to complete a project in a selected application. (3 credits)