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, programming and calculus 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.

A study of “smart,” interconnected devices with myriad sensing capabilities, known as the “Internet of Things” (IoT). IoT exists in our appliances, automobiles, airplanes, and on our wrists -- tracking how we exercise, and measuring our sleep. Topic includes IoT technologies, architectures, protocols, data storage, and IoT security and privacy. Special project required. Knowledge of data structures required.

Learn about UX (User Experience) Design to gain practical insights into staying focused on the right work for the right people. Go in-depth into areas of user research, information architecture, and information design. Other areas of study will include interaction design, visual design, accessibility, story boarding, and game mechanics. Prior experience in data structures is 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.

An examination of topics in computer graphics, including graphical output devices, line-drawing and clipping algorithms, representation and drawing of curves, techniques for transforming graphical images, and methods of modeling and rendering in three-dimensions. Special project required. Knowledge of data structures, linear algebra, and calculus are 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 for scientific discovery and innovation. This course covers algorithms and technologies for the storage, analysis, and interpretation of large, diverse, and heterogeneous data sets. Special project required. Knowledge of statistics and data structures required. 

Advanced design, development, and evaluation or web-based applications. Human factors, security aspects, and databases are emphasized. Knowledge of data structures required.

Cloud computing is the delivery of on-demand computing resources, from applications to data centers, over the Internet with pay-as-you-go pricing. Study fundamentals and capabilities of cloud across various service models. Topics include cloud infrastructure, programming models, and security and privacy issues in cloud computing. Includes various case studies from industry. 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.

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.

This course offers an advanced investigation of organizational culture. Students will identify symbolic organizing practices, ideological meanings tied to these practices, and examine how cultural meanings and beliefs are marginalized. Topics include org. ethnography, cultural diversity, and social justice. Drawing from both interpretive and critical traditions, students will design and implement an advanced cultural research project.