Graduate Courses

Applications of artificial intelligence including advanced topics. Topics include: inference, knowledge representation, search, cognitive architecture, decision making under uncertainty, and machine learning. Special project required. Knowledge of data structures required.

Study of advanced algorithmic and analysis techniques for biological data such as DNA, RNA, proteins and gene expression. Topics and project include molecular biology, alignment and searching algorithms, sequence evolution algorithms, genetic trees and analysis of microarray data. Interdisciplinary course that assumes programming skills. Special project required. Knowledge of data structures, biology, and programming required.

Concepts in robotics including state estimation, filtering, perception, localization, and mapping. Introduction to various topics in computer vision. Methods for robotic control and learning. Current topics in applied robotics. Special project required. Knowledge of statistics, calculus, and data structures required.

This is a practical course in "Making Smart Connected Things". Today, IoT exists in our home appliances, automobiles, airplanes, and on our wrists - tracking how we exercise, and measuring and analyzing our sleep. Topics include core IoT technologies (hardware, software, circuits, sensors) applied to hands-on projects. Special project required. Knowledge of data structures required. Fee: $100

The UX (User Experience) of a product is always important, be it a website, app, device, workshop, or organizational process. Learn from research about how people think about and experience these products; learn best practices for information design, interaction design, and visual design; and learn to evaluate usability via observation, questionnaires, and interviews with users. Special project required. Knowledge of data structures required.

In-depth survey of basic and advanced concepts of machine learning. Topics include: linear discrimination, supervised, unsupervised, semi-supervised learning, multilayer perception, convolution neural networks, maximum-margin methods, Monte-Carlo, and reinforcement learning.  Prior knowledge of data structures is required.  Knowledge of linear algebra and vector calculus also recommended.  Research project requiring an application of a machine learning techniques.

The design and implementation of databases with an emphasis on the use of relational database management systems (DBMS). Special project using DBMS. Exploration of query languages, table and index design, query evaluation, transaction management, tuning, security. Special project required. Knowledge of data structures required.

A study of architectures, algorithms and programming/debugging techniques that employ parallelism to increase performance of computer programs. Topics include parallel computer architectures, parallel programming languages for distributed and shared-memory multiprocessors and code optimization. Special project required. Knowledge of data structures, computer architecture, and object oriented design required.

As more data becomes available, solutions are needed to store, process, extract, interpret, and visualize large amounts of data. This course introduces algorithms and technologies for the storage, modeling, analysis, visualization, interpretation, and use of data. Special project required. Knowledge of data structures required.

Computer networks and internetworking. Specialized applications of OSI and TCP/IP layered models, TCP/IP protocol suite, transmission media, local area network and transport-layer protocols, internetworking, internet addressing and routing. Special project required. Knowledge of data structures required.

Computer game design emphasizing the philosophy, objectives, and history of this field. In addition, the course will emphasize advanced applications of some of the more prevalent techniques. Special project required. Knowledge of data structures required.

Cryptography, program security, security in operating systems, security in computer networks, security administration and policies. Special project required. Knowledge of data structures and unix required. Fee: $50

Credit arranged.

Credit arranged.

Credit arranged.

Faculty-directed student research. Before enrolling, a student must consult with a faculty member to define the project. May be repeated for credit. Course is graded A-F.