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Course investigates the interplay of economic theory and computer science. It is suitable for advanced senior undergraduates and for graduate students. We will study topics such as: algorithms for selfish routing; competitive combinatorial auctions; Multicast cost sharing and cooperative games; graphical models for games; and related topics. This course will be organized around the presentation of recent research papers. Prerequisites: CS 157 or equivalent. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
No description available. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Introduces the mathematical and computational foundations of brain-computer interfaces. Statistical learning, Bayesian inference, dimensionality reduction, information theory, and other topics are presented in the context of brain interfaces based on neural implants and EEG recordings. Prerequisites: Basic knowledge of probability, statistics and linear algebra (e.g., CS 155, AM 40, AM 165, AM 169, or AM 264). Enrollment limited to 20 students. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This seminar course explores current research topics in statistical machine learning. Focus varies by year, and may include Bayesian nonparametrics; models for spatial, temporal, or structured data; and variational or Monte Carlo approximations. Course meetings combine lectures with presentation and discussion of classical and contemporary research papers. Students will apply some this material to a project, ideally drawn from their own research interests. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This course will cover current topics in computer vision by focusing on a single real problem in computer vision. Recent courses have focused on forensic video analysis of an unsolved murder and three-dimensional object recognition for a mobile robot. Readings from the literature are integrated with group projects to solve problems beyond the state of the art. Strong mathematical skills (probability, linear algebra, calculus) and previous exposure to computer vision (e.g. CSCI 1430) are essential. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This course explores data and resource management issues that arise in the design, implementation, and deployment of distributed computing systems by covering the state of the art in research and industry. Topics include sensor networks and cloud computing. Recommended: CSCI 0320 or equivalent. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Prerequisites: Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
No description available. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Decisions must often be made before the entire data is available. Online algorithms solve problems in which commitments must be made as the data is arriving. Choosing which items to evict from a cache before knowing future requests, which advertisers to consider for displaying ads alongside the result of a search, or which most representative data to store when computing statistics about a huge stream of information. We will discuss the worst-case model, which hinges against the worst possible future data, and some stochastic and game-theoretic models. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Examines contemporary research topics in software construction from the perspectives of programming languages, software engineering and computer-aided verification. The primary goals are to understand which theory applies to which problems and to convert that theory into tools. Topics include security, modularity, and new paradigms in software composition. Prerequisite: CSCI 1730 or written permission of the instructor. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This course explores computer-assisted theorem proving with the Coq Proof Assistant. The course will teach students to formally specify software and model mathematical theories. We will then study techniques for mechanically proving theorems about these Coq. Prerequisites: CSCI 1730 or CSCI 0170 and permission of the instructor. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Prerequisites: Undergraduate level CSCI 0170 Minimum Grade of S or Undergraduate level CSCI 1730 Minimum Grade of S Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This seminar course will cover current research topics related to perceiving and acting in the real world. These topics will be pursued through independent reading, class discussion, and project implementations. Papers covered will be drawn from robotics, computer vision, animation, machine learning, and neuroscience. Special emphasis will be given to developing autonomous control from human performance. No prerequisites. 1.000 Credit Hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This course investigates the new field of sponsored search auctions. Although students will be exposed to the field from the point of view of both the search engine and the advertiser, the course's focus is on advertiser's bidding algorithms. The students will implement novel bidding agents, and the course will culminate in a competition among the students' agents. Undergraduate students who obtained permission from the instructor or completed CSCI 0910, or CSCI 0150 and CSCI 0160, or CSCI 0170 and CSCI 0180 can register for the course. CSCI 1410 is a co-requisite. 0.500 Credit Hours 0.500 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Half-credit courses offered on current topics in computer science. Content will change each time a particular section of the course is offered. 0.500 Credit Hours 0.500 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Do not Schedule Graduate School College Computer Science Department Restrictions: May not be enrolled as the following Classification(s): Semester Level 04 Semester Level 03 Semester Level 01 Semester Level 02 Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This course investigates the new field of sponsored search auctions. Although students will be exposed to the field from the point of view of both the search engine and the advertiser, the course's focus is on advertiser's bidding algorithms. The students will implement novel bidding agents, and the course will culminate in a competition among the students' agents. Undergraduate students who obtained permission from the instructor or completed CSCI 0910, or CSCI 0150 and CSCI 0160, or CSCI 0170 and CSCI 0180 can register for the course. CSCI 1410 is a co-requisite. 0.500 Credit Hours 0.500 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This half-credit, graduate-level seminar course covers current and emerging topics in machine learning. Topics may include kernel learning, learning using graphs, learning in high dimensions, and more. Topics will change by semester. Readings will be from recently published research papers. Prerequisite: CSCI 1550 or instructor approval. 0.500 Credit Hours 0.500 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Graduate School College Computer Science Department Restrictions: May not be enrolled as the following Classification(s): Semester Level 02 Semester Level 01 Prerequisites: Undergraduate level CSCI 1550 Minimum Grade of S Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Section numbers vary by instructor. Please check Banner for the correct section number and CRN to use when registering for this course. 1.000 TO 5.000 Credit Hours 1.000 TO 5.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Independent Study/Research Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
For graduate students who have met the tuition requirement and are paying the registration fee to continue active enrollment while preparing a thesis. 0.000 Credit Hours 0.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Grad Enrollment Fee/Dist Prep Graduate School College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
0.000 Credit Hours 0.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Do not Schedule Undergraduate College College Computer Science Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Introduces the performance of basic tasks in Standard Czech, highlights of Czech culture, and a worldview of a nation uniquely located on the threshold of western and eastern Europe. Emphasis on oral communication. 1.000 Credit Hours 1.000 Lecture hours Levels: Extra Credit Graduate, Undergraduate Schedule Types: Primary Meeting Undergraduate College College Slavic Languages Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Introduces the performance of basic tasks in Standard Czech, highlights of Czech culture, and a worldview of a nation uniquely located on the threshold of western and eastern Europe. Emphasis on oral communication. CZCH 0200 includes readings of annotated literary texts on the Web. 1.000 Credit Hours 1.000 Lecture hours Levels: Extra Credit Graduate, Undergraduate Schedule Types: Primary Meeting Undergraduate College College Slavic Languages Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Expression of abstract notions for discussion in complex structures; introduction to stylistic nuances. Listening comprehension exercises and discussion of Czech culture and history based on readings of literature and films. Prerequisites: CZ 20 or equivalent (for CZ 30); CZ 30 or equivalent (for CZ 40). 1.000 Credit Hours 1.000 Lecture hours Levels: Extra Credit Graduate, Undergraduate Schedule Types: Primary Meeting Undergraduate College College Slavic Languages Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Examines aspects of Czech cultures as manifested in history, literature, journalistic writing, and film. An equally important aim is to develop students' written and oral expression beyond everyday discourse. Prerequisite CZCH 0200 or placement test. 1.000 Credit Hours 1.000 Lecture hours Levels: Extra Credit Graduate, Undergraduate Schedule Types: Do not Schedule Undergraduate College College Slavic Languages Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
Using Milos Forman's film "Loves of a Blonde" and supporting materials around it, we will discuss human relationships and how they can be interpreted culturally and politically. Equally important is the acquisition of language. Tasks for the course are adjusted to two different language levels (intermediate and advanced). 1.000 Credit Hours 1.000 Lecture hours Levels: Extra Credit Graduate, Undergraduate Schedule Types: Primary Meeting Undergraduate College College Slavic Languages Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This course examines the political and cultural changes in the post-WWII Czechoslovakia through the eyes of a child. The centerpiece of the course is a film on elementary school in post-war Prague as a symbolic representation of the society that is about to emerge. Other materials such as literary and journalistic texts are used. The course places equal emphasis on the acquisition of language, including exposure to Colloquial Czech. Separate language tasks are given to students of two proficiency levels (2nd and 3rd year). Conducted in Czech. The course is for students who completed CZCH 0200 or the equivalent. 1.000 Credit Hours 1.000 Lecture hours Levels: Extra Credit Graduate, Undergraduate Schedule Types: Primary Meeting Undergraduate College College Slavic Languages Department Prerequisites: Undergraduate level CZCH 0200 Minimum Grade of S Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
This course examines the Czech view of themselves as well as others, one of the most debated topics in the current context of expanding European Union. The centerpiece of the course is a film about a man-eating flower (animated by Jan Svankmajer) invented by a crazy scientist. The story unfolds in Prague, involving a peace-loving Czech botanist anad his daughter, the American detective Nick Carter (played by a Slovak actor), and the Czech police enforcement. The film is a treasure box of symbolic representations of Czechs and people Czechs view as others. Reading materials are drawn from literary and journalistic texts. Equal emphasis on the acquisition of language, including exposure to Colloquial Czech. Separate language tasks for students of two proficiency levels (2nd and 3rd year). Conducted in Czech. The course is for students who completed CZCH 0200 or the equivalent. 1.000 Credit Hours 1.000 Lecture hours Levels: Extra Credit Graduate, Undergraduate Schedule Types: Primary Meeting Undergraduate College College Slavic Languages Department Return to Previous New Search
Score: 5.0149603 Details | Listing | Web page
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