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. Requisites: Requires prerequisite course of CSCI 2400 (minimum grade C). Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Introduces computing systems, software, and methods used to solve large-scale problems in science and engineering. Students use high-performance workstations and a supercomputer. First course in a two-semester sequence. Same as CSCI 4576. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Provides a broad-scope treatment of important concepts in the design and implementation of high-performance computer systems. Discusses important issues in the pipelining of a machine and the design of cache memory systems. Also studies current and historically important computer architectures. Recommended prereq., CSCI 4593 or instructor consent required. Same as ECEN 5593. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree 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. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Presents topics and techniques critical to the management of software product development, including estimating, planning, quality, tracking, reporting, team organization, people management, and legal issues. Gives special attention to problems unique to software projects. Recommended prereqs., ECEN 4583, CSCI 5548 and 4318, or equivalent industrial experience. Same as ECEN 5603 and EMEN 5031. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree 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. Requisites: Requires prerequisite courses of CSCI 2400 and CSCI 3104 (all minimum grade C). Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Focuses on finite difference solution for partial differential equations, methods of SoR, ADI, conjugate gradients, finite element method, nonlinear problems, and applications. Requisites: Requires prerequisite course of CSCI 5606 (minimum grade B). Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.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. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree 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. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Explores context-free languages: pumping lemma and variants, closure properties, and decision properties. Involves parsing algorithms, including general and special languages, e.g., LR. Additional topics chosen by instructor. Recommended prereq., CSCI 5444 or instructor consent required. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree 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. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Presents a broad range of system measurement and modeling techniques, emphasizing applications to computer systems. Topics include system measurement, work load characterization, and analysis of data; design of experiments; simulation; and queuing theory and queuing network models. Same as CSCI 4753. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Develops a firm understanding of the general principles of computer animation. Lectures cover the creation of models, materials, textures, surfaces, and lighting. Path and key frame animation, particle dynamics, and rendering are introduced. Students are assigned a number of animation tutorials to carry out. Same as CSCI 4809 and ATLS 4809/5809. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Provides an advanced treatment of basic database concepts. Recommended prereqs., CSCI 3287 and 3753. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Introduces a set of modeling techniques that have become a mainstay of modern artificial intelligence, cognitive science and machine learning research. These models provide essential tools for interpreting the statistical structure of large data sets and for explaining how intelligent agents analyze the vast amount of experience that accumulates through interactions with an unfamiliar environment. Recommended prerequisite: undergraduate course in probability and statistics. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree 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. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Explores the field of natural language processing as it is concerned with the theoretical and practical issues that arise in getting computers to perform useful and interesting tasks with natural language. Covers the problems of understanding complex language phenomena and building practical programs. Same as LING 5832. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Develops the skills and practices necessary to apply user-centered approaches to software requirements analysis, and the design and evaluation of computer applications. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Provides opportunities for independent study at the master's level. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Examines interdisciplinary field of human-computer interaction through a comprehensive content and historical survey. Considers new trajectories of inquiry and how the field merges with others. "Social computing" is emphasized as a central topic. Students across disciplines will find the course foundational for understanding human-centered technology matters, including computer scientists; social scientists; and business and media arts students. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Studies recent advances in human-computer interaction through critical analysis of influential papers and self-guided research. Examines new paradigms in input, output, and visualization for technology design and interaction. Considers innovative methods to assess various population design and technological needs. Studies in computer-related fields, social science, business, media arts, and communications benefit learning about human-centered computing research. Recommended prereq., CSCI 5919. Requisites: Restricted to Computer Science (CSEN) graduate students or Computer Science Concurrent Degree majors only.
Instructs new Ph.D students in Computer Science how to obtain a Ph.D and how to become an effective member of the computer science research community. Makes students aware of formal requirements, educational objectives, and research themes. Provides evaluative criteria and guidelines for all objectives to be achieved. Requisites: Restricted to graduate students only.
Studies methods to protect information, and the ability to process and move information, from theft, misuse, tampering, destruction, and unauthorized access. Introduces foundational topics of computer and network security, including security models, cryptopgraphy, and authentication protocols. Same as TLEN 5550. Requisites: Requires prerequisite course of CSCI 5273 (minimum grade B). Restricted to graduate students only.
Introduction to automatic speech recognition and understanding, conversational agents, dialogue systems, and speech synthesis/text-to-speech. Topics include the noisy channel model, Hidden Markov Models, A* and Viterbi decoding, language modeling (N-grams, entropy), concatenative synthesis, text normalization, dialogue and conversation modeling. Recommended prereqs., CSCI 5582 or 5832, or LING 5200, or instructor consent required. Requisites: Restricted to graduate students only.
