Courses

Techniques for algorithm design, analysis of correctness and efficiency; divide and conquer, dynamic programming, probabilistic methods, advanced data structures, graph algorithms, etc. Lower bounds, NP-completeness, intractability. Recommended prereq., CSCI 2270 or equivalent. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and efficiency. Topics covered include data preprocessing, data warehouse, association, classification, clustering, and mining specific data types such as time-series, social networks, multimedia, and Web data. CSCI 4502 and 5502 are the same course. Prerequisites: Restricted to graduate students only.

Considers concepts common to a variety of programming languages--how they are described (both formally and informally) and how they are implemented. Provides a firm basis for comprehending new languages and gives insight into the relationship between languages and machines. Recommended prereq., CSCI 3155 or instructor consent required. Same as ECEN 5533. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Applies engineering principles to phases of software product development, project planning, requirements definition, design, implementation, validation, and maintenance. Emphasizes practical methods for communicating and verifying definitions and designs---prototyping, inspections, and modeling. Includes relation to RTS and object-oriented programming. Recommended prereqs., CSCI 1300, CSCI 2270, or instructor consent required. Same as ECEN 5543. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Intended to create a foundation for operating systems research or advanced professional practice. Examines the design and implementation of a number of research and commercial operating systems and their components, system organization and structure, threads, communication and synchronization, virtual memory, distribution, file systems, security and authentication, availability, and Internet services. Department enforced prereq., equivalent undergraduate coursework in operating systems and computer architecture, or instructor consent. Same as ECEN 5573. Prerequisites: Requires prerequisite courses of CSCI 3753 and CSCI 4593 (all minimum grade D-). Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Surveys artificial intelligence methods, theories, and applications. Studies the relationship between artificial intelligence and psychology, linguistics, and philosophy. Introduces artificial intelligence programming. Recommended prereq., CSCI 3155 or equivalent. Same as ECEN 5583. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Highlights computer arithmetic, solution of linear systems, least-squares approximations, nonlinear algebraic equations, interpolation, and quadrature. Recommended prereqs., CSCI 3656 and three semesters of calculus, or equivalent. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Trains students to build computer systems that learn from experience. Includes the three main subfields: supervised learning, reinforcement learning and unsupervised learning. Emphasizes practical and theoretical understanding of the most widely used algorithms (neural networks, decision trees, support vector machines, Q-learning). Covers connections to data mining and statistical modeling. A strong foundation in probability, statistics, multivariate calculus, and linear algebra is highly recommended. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Offers direct and iterative solutions of linear systems. Also covers eigen value and eigenvector calculations, error analysis, and reduction by orthogonal transformation. A sound knowledge of basic linear algebra, experience with numerical computation, and programming experience is required. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Examines systems that span multiple autonomous computers. Topics include system structuring techniques, scalability, heterogeneity, fault tolerance, load sharing, distributed file and information systems, naming, directory services, resource discovery, resource and network management, security, privacy, ethics, and social issues. Recommended prereqs., CSCI 5573 or a course in computer networks. Same as ECEN 5673. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Explores algorithms that can extract information about the world from images or sequences of images. Topics covered include: imaging models and camera calibration, early vision (filters, edges, texture, stereo, optical flow), mid-level vision (segmentation, tracking), vision-based control, and object recognition. Recommended prereq., probability, multivariate calculus, and linear algebra. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Same as CSCI 4809 and ATLS 4809/5809. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.

Provides an introduction to software engineering concepts and techniques. Topics include the history of software engineering, fundamental software engineering principles and theory, software life cycles, software testing, and the design and implementation of concurrent and large-scale software systems. Prerequisites: Restricted to graduate students or Computer Science Concurrent Degree (CSEN) majors only.