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Rensselaer Catalog 2021-2022 [Archived Catalog]
Courses
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Credit Hours: 4 |
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COGS 4560 - Cross-linguistic Perspectives
This course will explore the different strategies used by different languages to fulfill the same needs of human communication. A sampling of topics: quickly learning the basics of a new language using linguistic principles; cross-linguistic knowledge elicitation and engineering; principles of generative grammar; space, time, agency, and other linguistic phenomena viewed cross-linguistically.
Prerequisites/Corequisites: COGS 2340 Introduction to Linguistics or permission of the instructor.
When Offered: Upon availability of instructor.
Cross Listed: COGS 6560.
Credit Hours: 4
Credit Hours: 4 |
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COGS 4600 - Cognition and the Brain
Perception and thought are considered in terms of processes represented in the brain. The localization and lateralization of function are examined, drawing upon research on the behavioral effects of brain damage as well as brain-imaging studies and other approaches. Examples of topics include object recognition, memory, language, emotion, spatial ability, and motor processes.
Prerequisites/Corequisites: Prerequisite: COGS/PSYC 4330, or COGS/PSYC 4360, or PSYC 4370, or permission of instructor.
When Offered: Fall term odd-numbered years.
Cross Listed: PSYC 4600; students cannot obtain credit for both courses.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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COGS 4620 - Cognitive Engineering
Covers cognitive theory from an applied perspective to understand and predict the interactions among human cognition, artifact (i.e., tools), and task. Cognitive task analysis techniques will be taught and used throughout the course, as will techniques for collecting and analyzing fine-grained behavioral data. Topics covered may include visual search and visual attention, cognitive skill and its acquisition, hard and soft constraints on interactive behavior, human error, soft constraints on judgment and decision-making, and experts and expertise.
Prerequisites/Corequisites: Prerequisites: PSYC/PHIL 2120 or PSYC 4310 or PSYC 4370 or permission of instructor.
When Offered: Upon availability of instructor.
Cross Listed: Cross listed with PSYC 4620. Students cannot obtain credit for both courses.
Credit Hours: 4
Credit Hours: 4 |
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COGS 4640 - Intelligent Virtual Agents
This course introduces various computational approaches for creating intelligent conversational agents. This course will take the form of a combination of lectures, presentations by students, class discussions, and independent study.
Prerequisites/Corequisites: CSCI 1200 and CSCI 2300.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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COGS 4780 - Advanced Topics in Linguistics
This course will serve as a seminar for advanced students of linguistics. The material to be covered will be selected collaboratively by the instructor and each cohort of students. Students, who ideally will have taken at least two linguistics-oriented courses previously, will be guided in pursuing topics that they have found particularly compelling in previous courses.
Prerequisites/Corequisites: COGS 2340 Introduction to Linguistics or permission of instructor.
When Offered: Upon availability of instructor.
Cross Listed: COGS 6780.
Credit Hours: 4
Credit Hours: 4 |
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COGS 4880 - Language-Endowed Intelligent Agents
This course will concentrate on the knowledge-based modeling of intelligent agents, with a special emphasis on semantically-oriented language processing. Theoretical and conceptual discussions will be balanced by practical work within the implemented OntoAgent cognitive architecture. It will discuss the modeling of decision-making, the various aspects of natural-language processing, and the art of knowledge engineering.
Prerequisites/Corequisites: A 2000-level computer science course or its equivalent, or permission of the instructor.
When Offered: Upon availability of instructor.
Cross Listed: COGS 6880.
Credit Hours: 4
Credit Hours: 4 |
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COGS 4940 - Readings in Cognitive Science
An individually arranged independent study course under the supervision of a member of the Cognitive Science Department. The topic is selected by consultation between student and faculty member.
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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COGS 4960 - Topics in Cognitive Science
An advanced course concerned with selected topics in cognitive science.
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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COGS 4990 - Undergraduate Thesis
Students conduct original scholarly projects: original research, theoretical or analytical reviews of the literature, or computer simulations. Students prepare written reports relating to this project, under the supervision of a faculty member.
Prerequisites/Corequisites: Prerequisite: permission of a supervising faculty member (completion of the thesis/project/dissertation registration form).
When Offered: Fall, spring, and summer terms annually.
Credit Hours: 3-6
Credit Hours: 3-6 |
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COGS 6100 - Seminar in Cognitive Engineering
Integrated cognitive systems comprise human cognitive, perception, and motor subsystems in coordinated action with interactive devices. Examples may be as simple as a human using a VCR or as complex as the behavior exhibited by Air Force pilots. This course will introduce students to the cognitive theory behind integrated cognitive systems, the techniques for collecting and analyzing data such as eye movements and action protocols, as well as the software tools available for the representation of interactive behavior.
Prerequisites/Corequisites: Prerequisite: admission to the doctoral program.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6200 - Cognition
This course covers reasoning, decision making, and behavioral game theory, which are major domains in human higher order cognition. Each topic begins with normative theories and continues through formal and mathematical models, and the introduction of empirical studies. The course emphasizes integrations of competing approaches within a domain, integration between reasoning and decision making, and integration between individual decision making and game-theoretic interactions. Each year, the course has a theme. The theme for this year is quantum cognition, which applies quantum theory in cognitive modeling. This course is designed as self-contained, and has no prerequisites. A middle term presentation and a final term paper are required for each student. Graduate students only.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6210 - Cognitive Modeling I
This is a graduate level course that introduces the student to computational cognitive modeling. Cognitive modeling is the simulation of human cognitive, perceptual, and motor processes based on a cognitive architecture. The benefit of cognitive modeling is that it facilitates the testing of ideas about human processes through comparison of model data with empirical data. This course covers ACT-R, a symbolic architecture and LEABRA, a neural-level architecture.
When Offered: Spring term annually.
Cross Listed: Cross listed as COGS 4210. Students cannot obtain credit for both this course and COGS 4210.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6220 - Cognitive Modeling II
This is a graduate level course that extends the objectives of Cognitive Modeling I to additional cognitive architectures. The first part of the course is a survey of cognitive modeling paradigms. The second part will be a more in-depth coverage of two or three architectures and will be done by teams of students. Each team will study one architecture including the development of a model.
When Offered: Fall term annually.
Cross Listed: Cross listed as COGS 4220. Students cannot obtain credit for both this course and COGS 4220.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6240 - Logic and Artificial Intelligence
This course is about the connection between logic and artificial intelligence (AI). It may be partitioned into three general sections: 1) the straightforward application of first order logic (FOL) in AI; 2) the broadening of FOL to enable a robot to reason in a commonsense way (nonmonotonic reasoning, induction, etc.) and to formalize a robot agent’s belief and knowledge system (modal logics, etc.); and 3) using a logical approach to the Frame Problem and to building a planner.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6340 - The Linguistics of Computational Linguistics
This course will explore how linguistics, the scientific study of the properties of human language and languages, can be applied to the development of intelligent agents that can fluently and meaningfully communicate with people in natural language. It will focus on linguistic phenomena that have so far been particularly resistant to effective machine processing, such as lexical ambiguity resolution, reference resolution, ellipsis, indirect speech acts, implicature, and non-literal language (e.g., metaphor and irony).
Prerequisites/Corequisites: Graduate standing.
Cross Listed: COGS 4340.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6410 - Programming for Cognitive Science and Artificial Intelligence
This course is a graduate course that teaches Cognitive Science and Artificial Intelligence concepts by enabling the student to develop and understand computer programs that implement them. It covers data collection and analysis, task environments, natural language, cognitive architectures, and learning. Some previous programming experience is very beneficial but not required.
When Offered: Fall term annually.
Cross Listed: Cross listed as COGS 4410. Students cannot obtain credit for both this course and COGS 4410.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6420 - Perception and Action
This course is a graduate level introduction to the topic of perception and action, and will focus on the significance of perception, motor control, and perceptual-motor learning as they relate to the performance of routine and skilled tasks. It will explore perception and action from information processing, computational, dynamical systems, and ecological perspectives, review current empirical and computational research, and consider some applications, including training, rehabilitation, human-machine interaction, and robotics.
Prerequisites/Corequisites: Prerequisite: graduate status or permission of instructor.
When Offered: Fall term even-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6430 - Learning and Advanced Game AI
Digital gaming is one of the most rapidly developing fields. The effort required for developing games is not trivial. To make a game fun to play, the design of the game levels and/or the AI-driven opponents need to be intelligent and adaptive to the players’ strategies and skills. In this course, students will learn and explore using machine learning techniques to automate the design process of digital games. The course will cover basic and advanced topics in Artificial Intelligence and Learning, such as Decision Trees, Neural Networks, Genetic Algorithms, and Reinforcement Learning. Students will gain hands-on experience in applying these techniques in computer games. The course will also introduce psychological theories and studies about people’s decision-making and emotional processes and how they are related to the players’ experience in games. This course will take the form of a combination of lectures, presentations by students, class discussions, and independent study.
Prerequisites/Corequisites:
When Offered: Fall term annually.
Cross Listed: COGS 4430.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6560 - Cross-linguistic Perspectives
This course will explore the different strategies used by different languages to fulfill the same needs of human communication. A sampling of topics: quickly learning the basics of a new language using linguistic principles; cross-linguistic knowledge elicitation and engineering; principles of generative grammar; space, time, agency, and other linguistic phenomena viewed cross-linguistically.
Prerequisites/Corequisites: Graduate standing; background in languages or linguistics expected.
Cross Listed: COGS 4560.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6570 - Advanced Behavioral Statistics
An accelerated course covering important behavioral statistical concepts including probability, sampling distributions, hypothesis resting, ANOVA, and multiple regression. Course requires usage of statistical software package and is taught using the general linear model framework.
Prerequisites/Corequisites: Prerequisite: graduate status and one course in undergraduate statistics.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6640 - Intelligent Virtual Agent
This course introduces various computational approaches for creating intelligent conversational agents. This course will take the form of a combination of lectures, presentations by students, class discussions, and independent study.
Prerequisites/Corequisites: CSCI 1200 and CSCI 2300.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6690 - Seminar in Research Design
An in-depth study of quasi-experimental and experimental design of behavioral research. Topics include test construction and development, factor analysis, meta-analysis, repeated measures, and MANOVA.
Prerequisites/Corequisites: Prerequisite: COGS 6570 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6780 - Advanced Topics in Linguistics
This course will serve as a seminar for advanced students of linguistics. The material to be covered will be selected collaboratively by the instructor and each cohort of students. Students, who ideally will have taken at least two linguistics-oriented courses previously, will be guided in pursuing topics that they have found particularly compelling in previous courses.
Prerequisites/Corequisites: Graduate standing; background in languages or linguistics expected.
When Offered: Upon availability of instructor.
Cross Listed: COGS 4780.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6880 - Language-Endowed Intelligent Agents
This course will concentrate on the knowledge-based modeling of intelligent agents, with a special emphasis on semantically-oriented language processing. Theoretical and conceptual discussions will be balanced by practical work within the implemented OntoAgent cognitive architecture. The course will cover the modeling of decision-making, the various aspects of natural-language processing, and the art of knowledge engineering.
Prerequisites/Corequisites: Graduate standing.
When Offered: Upon availability of instructor.
Cross Listed: COGS 4880.
Credit Hours: 4
Credit Hours: 4 |
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COGS 6940 - Readings in Cognitive Science
An individually arranged independent study course under the supervision of a member of the Cognitive Science Department. The topic is selected by consultation between student and faculty member.
Prerequisites/Corequisites: Prerequisite: graduate status and permission of supervising faculty member.
When Offered: Fall and spring terms annually.
Credit Hours: 1 to 4 credits
Credit Hours: 1 to 4 credits |
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COGS 6960 - Topics in Cognitive Science
An advanced course concerned with selected topics in cognitive science.
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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COGS 6980 - Master’s Project
Active participation in a master’s-level project, under the supervision of a faculty adviser, leading to a master’s project report. Grades S or U are assigned at the end of the semester. If recommended by the adviser, the master’s project may be accepted by the Office of Graduate Education to be archived in the library.
When Offered: Fall and spring terms annually.
Credit Hours: 1 to 9 credits
Credit Hours: 1 to 9 credits |
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COGS 6990 - Master’s Thesis
Active participation in research, under the supervision of a faculty adviser, leading to a master’s thesis. Grades of S or U are assigned by the adviser each term to reflect the student’s research progress for the given semester. Once the thesis has been presentend, approved by the adviser, and accepted by the Office of Graduate Education, it will be archived in a standard format in the library.
When Offered: Fall and spring terms annually.
Credit Hours: 1 to 9 credits
Credit Hours: 1 to 9 credits |
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COGS 9990 - Doctoral Thesis
Active participation in research, under the supervision of a faculty adviser, leading to a doctoral dissertation. Grades of S or U are assigned by the adviser each term to reflect the student’s research progress for the given semester. Once the dissertation has been publicly defended, approved by the doctoral committee, and accepted by the Office of Graduate Education, it will be archived in a standard format in the library.
When Offered: Fall and spring terms annually.
Credit Hours: Variable
Credit Hours: Variable |
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COMM 2410 - Perspectives on Photography
This course helps students understand the meaning and emotional complexity of visual images in their culture. Students examine photographic imagery through three perspectives. The first—formal—addresses the design components of the image, such as vantage point and contrast. The second—psychodynamic—concerns the emotional dynamics of viewing. The third—social political— explores photographs as instruments for preserving or challenging cultural values. No technical knowledge of photography is needed.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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COMM 2440 - Documentary Film
Does documentary film depict reality or is it just another form of storytelling? This course takes a broad, historical look at documentary media, exposing students to a wide range of works that in some sense stand on claims to truth. Students are invited to develop a critical stance toward documentary modes of social representation, through viewing and analyzing colonial photography and cinema, ethnographic, propaganda, cinema verite, experimental, and even “fake” documentaries.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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COMM 2520 - Communication Theory and Practice
This course introduces students to basic topics in communication theory and research. It includes topics in interpersonal, group, organizational, mediated, and mass communication. Students will study and apply theories to real world situations and events and explore the social and cultural impact of new media technology.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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COMM 2570 - Typography
Typography studies the form and function of alphabetic and pictographic systems in English-speaking society. The course aims to imbue in students a critical perspective on the role typography plays in the history and sustenance of civilization and the propagation of ideas throughout society. Students will read historical, theoretical, and evidence-based literature to glean principles for designing communicatively effective type. Verbal and visual assignments will enforce understanding of typographic principles and grammar for use in print and digital interfaces.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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COMM 2660 - Introduction to Graphic Design
This course introduces students to the practice of graphic design with a variety of hands-on projects. Studies include the principles and theories of 2D design and the integration of form, color, type, image, and content. Students will develop a heightened visual awareness and an understanding of how design influences meaning. The course emphasizes strategic and critical thinking in the solving of graphic design problems for the purposes of professional communication across a range of media platforms.
When Offered: Fall and spring terms annually
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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COMM 2940 - Communication Studies
Readings and projects adapted to the needs of individual students.
Credit Hours: 4
Credit Hours: 4 |
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COMM 2960 - Topics in Communication
Experimental courses tried out in one or two terms.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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COMM 4320 - Visual Poetics and Narrative
This studio course explores new directions in art and design that include visual poetry (visual expression in which they shape an arrangement of text, images, symbols to convey the message) and interactive narrative. Visual poetics and narrative appear in advertisement, music videos, and other forms of communication. Students will experiment with these forms of communication and learn how these concepts apply in artistic and commercial contexts. The class format includes lectures, discussions, and studio work.
When Offered: Fall term, odd-numbered years
Credit Hours: 4
Credit Hours: 4 |
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COMM 4420 - Foundations of HCI Usability
In this course, students will consider methods of gathering users’ requirements for product functions and information, ways to test products and information for usability and suitability, and procedures for incorporating the results learned through testing. Students will design and conduct usability tests on products, documents, and interfaces of interest.
When Offered: Fall term annually.
Cross Listed: COMM 6420; an additional assignment is required for COMM 6420. Students cannot obtain credit for both courses.
Credit Hours: 4
Credit Hours: 4 |
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COMM 4460 - Visual Design: Theory and Application
This course introduces students to the theoretical and practical use of graphics as a form of visual communication. Discussions include topics such as the psychology of visual perception, design theory, creative process, formatted text, and graphics. Students have an opportunity to put theory into practice using computer graphics.
When Offered: Fall term, even-numbered years
Cross Listed: COMM 6560; students cannot obtain credit for both courses.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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COMM 4530 - Reality TV and Post-Factual Media
This course considers the sociopolitical and ethical dimensions of reality television and post-factual media content. An analysis of a variety of “reality” and news formats allows students to understand the evolution, economics, and, above all, the cultural and political significance of modern media. Topics include: simulation; social representation; commercialization; social media; surveillance; nationalism; and globalization.
When Offered: Spring term annually.
Cross Listed: COMM 6530. Students may not receive credit for both the 4000 level and 6000 level versions of this course.
Credit Hours: 4
Credit Hours: 4 |
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COMM 4540 - Visual Culture
Humans inhabit a culture of visual images. Images bombard them on television, the Internet, and in films; they surround everyone as architecture and fashion; they provide essential resource data in science, engineering, and business. This course will help students better understand how images communicate information, arouse emotions, and shape values. Students will primarily do readings in cultural history/theory with some viewing of films.
Prerequisites/Corequisites: Prerequisite: One 2000-level HASS undergraduate course of permission of instructor.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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COMM 4550 - Religion in the Media
How are religious fundamentalists using new media? Can religious conversion take place in a theme park? How are religious “crossover” films transforming political and popular cultural landscapes? This course maps the complex intersections of religion, culture, and media in the global transformations of religious traditions and explores, through a media frame, “the return of religion” within the secular consensus of modernity.
Prerequisites/Corequisites: COMM 2520.
When Offered: Spring term odd-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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COMM 4580 - Advertising and Culture
An examination of the cultural impact of advertising in various media: TV, radio, print, and the Web. How does advertising inform human experience and identity? How has it shaped the culture? Who pays for it and why? Note: This is not a How-To course. The focus is critical analysis, not acquiring skills for producing advertising.
When Offered: Spring term even-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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COMM 4690 - Interface Design: Hypermedia Theory and Application
This course covers theory, research, and practice in interactive, multimedia interface design. Topics include visual perception, information architecture, rapid prototyping, usability testing, cross-cultural design, interactive data visualization, augmented reality, and intellectual property.
Prerequisites/Corequisites: Prerequisites: CSCI 1100 or permission of instructor
When Offered: spring term, even-numbered years
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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COMM 4780 - Interactive Narrative
This course introduces students to narrative theory and interactive narratives in a variety of genres such as oral story-telling, literature, poetry, film, artists’ books, historical narrative, hypertext fiction, Net Art, social media narratives, and computer games. Students will have the opportunity to design and develop an original interactive narrative.
When Offered: Spring term odd-numbered years.
Cross Listed: COMM 6780; students may not receive credit for both courses. Extra assignments are required in the graduate course.
Credit Hours: 4
Credit Hours: 4 |
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COMM 4880 - Interactive Data Visualization
The course covers interactive, multimedia interface design (for Web sites and apps) for data visualization or other forms of interactive information design. Innovative designs that explore new directions in interactive data design are highlighted. Topics include multisensory information design using graphics, sound, touch, and large-scale data projection. Interface design topics include user-centered design, information architecture, rapid prototyping, cross-cultural design, and intellectual property. Students may choose the applications they want to design for the class project.
Prerequisites/Corequisites: Prerequisites: CSCI 1010 or CSCI 1100 or permission of the instructor.
When Offered: Summer term annually.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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COMM 4940 - Communication Studies
Readings and projects adapted to the needs of individual students.
Credit Hours: 1 to 6
Credit Hours: 1 to 6 |
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COMM 4960 - Topics in Communication
Experimental courses tried out in one or two terms.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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Credit Hours: 3 |
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COMM 6320 - Visual Poetics and Narrative
This studio course explores new directions in art and design that include visual poetry (visual expression in which the shape and arrangement of text, images, and symbols covey the message) and interactive narrative. Visual poetics and narrative appear in advertisement, music videos, and other forms of communication. Students will experiment with these forms of communication and learn how these concepts apply in artistic and commercial contexts. The class format includes lectures, discussions, and studio work.
When Offered: Fall term, odd-numbered years
Credit Hours: 3
Credit Hours: 3 |
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COMM 6420 - Foundations of Human-Computer Interaction Usability
This course will consider methods for gathering users’ requirements for product functions and information, ways to test products and information for usability and suitability, and procedures for incorporating the results learned through testing. Students will design and conduct usability tests on products, documents, and interfaces of interest.
When Offered: Fall term annually.
Cross Listed: COMM 4420; students cannot obtain credit for both courses.
Credit Hours: 3
Credit Hours: 3 |
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Credit Hours: 3 |
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COMM 6530 - Reality TV and Post-Factual Media
This course considers the sociopolitical and ethical dimensions of reality television, one of the most significant developments in recent popular culture. An analysis of a variety of reality formats allows students to understand the evolution, economics, and, above all, the cultural and political significance of modern media. Topics include post-truth or post-factual communication; the representation of gender, class, and race; celebrity; advertising and commercialization; audience interaction; surveillance; mediation and reality.
When Offered: Fall term, odd-numbered years
Cross Listed: COMM 4530. Students may not earn credit for both.
Credit Hours: 4
Credit Hours: 4 |
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COMM 6560 - Visual Design: Theory and Application
This course introduces students to the theoretical and practical use of graphics as a form of visual communication. Discussions include such topics as visual perception, design theory, formatted text, and graphics. Students have an opportunity to put theory into practice using computer graphics software.
When Offered: Fall term, even-numbered years
Cross Listed: COMM 4460; students cannot obtain credit for both courses. For graduate students, one additional assignment will be required and their work will be evaluated at a higher level.
Credit Hours: 3
Credit Hours: 3 |
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COMM 6700 - Rhetoric of the Photograph
Photography is the first modern visual technology that is reproducible yet still has an aura of “objectivity,” and its study addresses issues that are central to all forms of contemporary image-making, from art and architecture to politics, social media, and game design. Using the rhetorical triad of producer, photographer, and audience, the course introduces students across HASS to various methodologies of visual analysis through semiotics, phenomenology, neuropsychology, and psychodynamics of affect.
When Offered: Spring term, even-numbered years.
Credit Hours: 3
Credit Hours: 3 |
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Credit Hours: 4 |
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COMM 6780 - Interactive Narrative
This course introduces students to narrative theory and interactive narratives in a variety of genres such as oral story-telling, literature, poetry, film, artists’ books, historical narrative, hypertext fiction, Net Art, social media narratives, and computer games. Students will have the opportunity to design and develop an original interactive narrative.
When Offered: Spring term, odd-numbered years.
Cross Listed: COMM 4780; students may not receive credit for both courses.
Credit Hours: 3
Credit Hours: 3 |
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COMM 6880 - Interactive Data Visualization
This course covers interactive, multimedia interface design (for Web sites and apps) for data visualization or other forms of interactive information design. Innovative designs that explore new directions in interactive data design are highlighted. Topics include multisensory information design using graphics, sound, touch, and large-scale data projection. Interface design topics include user-centered design, information architecture, rapid prototyping, cross-cultural design, and intellectual property. Students may choose the applications they want to design for the class project.
Prerequisites/Corequisites: Graduate standing.
When Offered: Summer term annually.
Cross Listed: COMM 4880.
Credit Hours: 3
Credit Hours: 3 |
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COMM 6940 - Communication Studies
Readings and projects adapted to the needs of individual students.
Credit Hours: 1 to 6
Credit Hours: 1 to 6 |
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COMM 6960 - Topics in Communication
Experimental courses tried out in one or two terms.
Credit Hours: 3
Credit Hours: 3 |
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COMM 6990 - Master’s Thesis
Active participation in research, under the supervision of a faculty adviser, leading to a master’s thesis. Grades of S or U are assigned by the adviser each term to reflect the student’s research progress for the given semester. Once the thesis has been presented, approved by the adviser, and accepted by the Office of Graduate Education, it will be archived in a standard format in the library.
Credit Hours: 1 to 6
Credit Hours: 1 to 6 |
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COMM 9990 - Dissertation
Active participation in research, under the supervision of a faculty adviser, leading to a doctoral dissertation. Grades of IP are assigned until the dissertation has been publicly defended, approved by the doctoral committee, and accepted by the Office of Graduate Education to be archived in a standard format in the library. Grades will then be listed as S.
Credit Hours: Variable
Credit Hours: Variable |
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CSCI 1100 - Computer Science I
An introduction to computer programming algorithm design and analysis. Additional topics include basic computer organization; internal representation of scalar and array data; use of top-down design and subprograms to tackle complex problems; abstract data types. Enrichment material as time allows. Interdisciplinary case studies, numerical and nonnumerical applications. Students who have passed CSCI 1200 cannot register for this course.
When Offered: Fall, spring, and summer terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 5
Credit Hours: 4 |
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CSCI 1190 - Beginning Programming for Engineers
This course teaches elementary programming concepts using the MATLAB environment for engineering students with little or no prior programming experience. Concepts include variables, looping, and function calls. Students cannot get credit for CSCI 1190 after earning credit for CSCI 1100 or any higher-level CSCI course.
When Offered: Half-term courses offered fall and spring terms annually.
Credit Hours: 1
Credit Hours: 1 |
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CSCI 1200 - Data Structures
Programming concepts: functions, parameter passing, pointers, arrays, strings, structs, classes, templates. Mathematical tools: sets, functions, and relations, order notation, complexity of algorithms, proof by induction. Data structures and their representations: data abstraction and internal representation, sequences, trees, binary search trees, associative structures. Algorithms: searching and sorting, generic algorithms, iterative and recursive algorithms. Methods of testing correctness and measuring performance.
Prerequisites/Corequisites: Prerequisite: CSCI 1100 or permission of instructor.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 6
Credit Hours: 4 |
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CSCI 2200 - Foundations of Computer Science
This course introduces important mathematical and theoretical tools for computer science, including topics from set theory, combinatorics, and probability theory, and then proceeds to automata theory, the Turing Machine model of computation, and notions of computational complexity. The course will emphasize formal reasoning and proof techniques.
Prerequisites/Corequisites: Prerequisites: CSCI 1200 and Introduction to Calculus (MATH 1010 or MATH 1500 or MATH 1020 or MATH 2010); MATH 1020 is strongly recommended.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 5
Credit Hours: 4 |
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CSCI 2300 - Introduction to Algorithms
Data structures and algorithms, and the mathematical techniques necessary to design and analyze them. Basic data structures: lists, associative structures, trees. Mathematical techniques for designing algorithms and analyzing worst-case and expected-case algorithm efficiency. Advanced data structures: balanced trees, tries, heaps, priority queues, graphs. Searching, sorting. Algorithm design techniques: dynamic programming, greedy algorithms, divide-and-conquer, backtracking. Example graph, string, geometric, and numeric algorithms.
Prerequisites/Corequisites: Prerequisites: CSCI 1200, CSCI 2200, and Introduction to Calculus (MATH 1010 or MATH 1500 or MATH 1020 or MATH 2010).
When Offered: Fall and spring terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 6
Credit Hours: 4 |
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CSCI 2500 - Computer Organization
Introduction to computer organization, assembler language, and operating systems. Computer systems organization: processors, memory, I/O. Digital logic: gates, Boolean algebra, digital logic circuits, memory, buses. Microprogramming. Machine level: instruction formats, addressing modes, instruction types, flow of control. Operating systems: virtual memory, virtual I/O instructions, processes, interprocess communication. Numeric representation. Assembler language: the assembly process, macros, linking, loading. Advanced architectures: RISC architectures, parallel architectures.
Prerequisites/Corequisites: Prerequisite: CSCI 1200.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 6
Credit Hours: 4 |
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CSCI 2600 - Principles of Software
A study of important concepts in software design, implementation, and testing. Topics include specification, abstraction with classes, design principles and patterns, testing, refactoring, the software development process, GUI and event-driven programming, and cloud-based programming. The course also introduces implementation and testing tools, including IDEs, revision control systems, and other frameworks. The overarching goal of the course is for students to learn how to write correct and maintainable software.
Prerequisites/Corequisites: Prerequisites: CSCI 1200 and CSCI 2200.
When Offered: Spring and summer terms annually.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4020 - Design and Analysis of Algorithms
This course presents fundamental ideas and techniques of modern algorithm design and analysis. After completing this course, students should be able to formally analyze and design efficient algorithms for a variety of computational problems. Topics covered include Greedy Algorithms, Dynamic Programming, Network Flow, NP-Completeness, Linear Programming, Network Algorithms, as well as probabilistic and approximate algorithms.
Prerequisites/Corequisites: Prerequisite: CSCI 2300.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4030 - Randomized Algorithms
State-of-the-art in contemporary algorithm design, randomized algorithms are algorithms that use randomness as part of their functioning. They are typically simple, often easy to analyze, and work well in practice. They have numerous applications in many fields of computer science and mathematics. Randomized algorithms represent an active and vibrant research area with many exciting new results contributed every year.
Prerequisites/Corequisites: Prerequisite: CSCI 4020 or equivalent.
When Offered: Fall term annually.
Cross Listed: CSCI 6220. Students cannot receive credit for both CSCI 4030 and CSCI 6220.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4040 - Approximation Algorithms
Algorithms with provable guarantees on the quality of their solutions are a powerful way of dealing with intractable problems. This course covers fundamental techniques for designing approximation algorithms. Possible topics include: semi-definite and linear programming, inapproximability and the PCP theorem, randomized rounding, metrics and cuts, primal-dual methods, and online algorithms.
Prerequisites/Corequisites: Prerequisite: CSCI 4020 or permission of instructor.
When Offered: Fall term odd-numbered years.
Cross Listed: CSCI 6040. Students cannot receive credit for both CSCI 4040 and CSCI 6040.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4100 - Machine Learning from Data
Introduction to the theory, algorithms, and applications of machine learning (supervised, reinforcement, and unsupervised) from data: What is learning? Is learning feasible? How can we do it? How can we do it well? The course offers a mix of theory, technique, and application with additional selected topics chosen from Pattern Recognition, Decision Trees, Neural Networks, RBF’s, Bayesian Learning, PAC Learning, Support Vector Machines, Gaussian processes, and Hidden Markov Models.
Prerequisites/Corequisites: Prerequisites: CSCI 2300; an advanced 4000-level algorithms-based CSCI or MATH course; familiarity with probability, linear algebra, and calculus.
When Offered: Fall term annually.
Cross Listed: CSCI 6100. Students cannot receive credit for both CSCI 4100 and CSCI 6100.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4110 - Computational Social Processes
Introduction to the computational and algorithmic aspects of social processes. Topics covered will be selected to illustrate the diverse challenges in algorithmic social process analysis: social networks and their dynamics; information flow; hidden networks. Algorithms involving social and selfish agents, social choice theory, voting, and auctions. Ranking actors in networks, recommendation systems, peer-review, and aggregation of rankings/reviews.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and an advanced 4000-level algorithms-based CSCI or MATH course.
When Offered: Fall term even-numbered years, upon availability of instructor.
Cross Listed: CSCI 6110. Students cannot receive credit for both CSCI 4110 and CSCI 6110.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4120 - Computational Finance
Introduction to the computational and mathematical techniques for practical financial applications. The course will emphasize the algorithmic side of finance. Topics will be selected from pricing (options and derivatives), trading, risk-evaluation, selfish agents, sequential decisions, and portfolio optimization. Examples of the mathematical and algorithmic techniques covered are martingale measures, risk-neutral pricing and Monte Carlo, dynamic programing, and stochastic processes.
Prerequisites/Corequisites: Prerequisites: CSCI 2300; an advanced 4000-level algorithms-based CSCI or MATH course; familiarity with probability, linear algebra, and calculus.
When Offered: Fall term even-numbered years, upon availability of instructor.
Cross Listed: CSCI 6120. Students cannot receive credit for both CSCI 4120 and CSCI 6120.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4150 - Introduction to Artificial Intelligence
Topics and techniques of artificial intelligence using the language LISP. Topics include search, knowledge representation, expert systems, theorem proving, natural language interfaces, learning, game playing, and computer vision. Techniques include pattern matching, data-driven programming, substitution rules, frames, heuristic search, transition networks, neural networks, and evolutionary computation. Development of programming proficiency in LISP is emphasized.
Prerequisites/Corequisites: Prerequisite: CSCI 2300.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4210 - Operating Systems
Discussion of various aspects of computer operating systems design and implementation. Topics include I/O programming, concurrent processes and synchronization problems, process management and scheduling of processes, virtual memory management, device management, file systems, deadlock problems, system calls, and interprocess communication. Programming projects are required.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and either CSCI 2500 or ECSE 2660.
When Offered: Spring and summer terms annually.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4220 - Network Programming
Programming with an overview of the principles of computer networks, including a detailed look at the OSI reference model and various popular network protocol suites. Concentration on Unix interprocess communication (IPC), network programming using TCP and UDP, as well as client-side and mobile programming. Programming projects are required.
Prerequisites/Corequisites: Prerequisites: CSCI 4210.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4230 - Cryptography and Network Security I
A self-contained course that includes topics from number theory, basic cryptography, and protocol security. This is a hybrid course with sufficient depth in both theory and hands-on experience with network protocols. Topics include: Classical Cryptography, Block Ciphers (DES, AES), Information Theoretical Cryptography, Randomness, RNG and Stream Ciphers, Hash and MAC Algorithms, Public-Key Cryptography, Elliptic Curve Cryptography, Digital Signatures and Identification, Internet Attacks, Web Security, SSL and PGP. This is a communication-intensive course.
Prerequisites/Corequisites: Prerequisites: CSCI 2300; also desirable is CSCI 4210 and CSCI 4220.
When Offered: Fall term annually.
Cross Listed: CSCI 6230. Students cannot receive credit for both CSCI 4230 and CSCI 6230.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4250 - Frontiers of Network Science
This course will offer an introduction to network science and a review of current research in this area. Classes will interchangeably present chapters from the textbook and related current research. The emphasis will be on the mathematical background of network science: graphs and networks; random networks and various types of scale-free networks; network properties such as assortativity, mobility, robustness, social networks, and communities; and dynamics of spreading in networks.
Prerequisites/Corequisites: Prerequisites: CSCI 2300; a 4000-level algorithms-based CSCI course (e.g., 4020, 4260, 4800) or MATH course (e.g., 4100, 4150, 4210, 4800); familiarity with probability, linear algebra, and calculus; or permission of the instructor.
When Offered: Fall term odd-numbered years.
Cross Listed: CSCI 6250. Students cannot receive credit for both CSCI 4250 and CSCI 6250.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4260 - Graph Theory
Fundamental concepts and methods of graph theory and its applications to computing and the social and natural sciences. Topics include graphs as models, representation of graphs, trees, distances, matchings, connectivity, flows in networks, graph colorings, Hamiltonian cycles, traveling salesman problem, planarity. All concepts, methods, and applications are presented through a sequence of exercises and problems, many of which are done with the help of novel software systems for combinatorial computing.
Prerequisites/Corequisites: Prerequisites: CSCI 1100 and CSCI 2200.
When Offered: Spring term annually.
Cross Listed: MATH 4150. Students cannot receive credit for both CSCI 4260 and MATH 4150.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4270 - Computational Vision
The goal of this course is to introduce students to the problems, challenges, and applications of computer vision from a computational perspective. Topics include camera modeling and image formation, feature extraction, object and face recognition, image mosaic construction, stereo and three-dimensional imaging, motion, and tracking. Machine learning methods, including deep convolutional neural networks, will be studied and applied throughout the course.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and MATH 2010 or permission of instructor.
When Offered: Fall term annually.
Cross Listed: CSCI 6270. Students cannot receive credit for both CSCI 4270 and CSCI 6270.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4310 - Networking in the Linux Kernel
This course introduces Linux kernel programming basics and starts by examining how Berkeley sockets bridge the user-kernel gap. The remainder of the course is spent looking into transport layer (e.g., TCP) and network layer (e.g., IP) implementations. Students do both individual and group programming projects. In addition to coding, there are detailed write-ups and peer reviews in this course. This is a communication-intensive course.
Prerequisites/Corequisites: Prerequisites: CSCI 4210 or ECSE 2660.
When Offered: Fall term odd-numbered years.
Cross Listed: CSCI 6310. Students cannot receive credit for both CSCI 4310 and CSCI 6310.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4320 - Parallel Programming
Techniques and methods for parallel programming: models of parallel machines and programs, efficiency and complexity of parallel algorithms. Paradigms of parallel programming and corresponding extensions to sequential programming languages. Overview of parallel languages and coordination languages and models; programming on networks of workstations. Basic parallel algorithms: elementary computation, matrix multiplication, sorting; sample scientific application.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and either CSCI 2500 or ECSE 2660.
When Offered: Spring term annually.
Cross Listed: CSCI 6360. Students cannot receive credit for both CSCI 4320 and CSCI 6360.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4340 - Ontologies
This course provides an introduction to ontologies, their uses, and an overview of their application in semantically enabled systems. Ontologies encode term meanings and are used to improve communication and enable computer programs to function more effectively. Class participants learn how to use ontologies in Web-based applications and evaluate ontologies for reuse. Participants read relevant papers, learn how to critically review ontology papers and ontologies, and participate in group project(s) designing, using, and evaluating ontologies.
Prerequisites/Corequisites: Prerequisite: CSCI 2300.
When Offered: Spring term annually.
Cross Listed: CSCI 6340. Students cannot receive credit for both CSCI 4340 and CSCI 6340.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4350 - Data Science
Data science is advancing the inductive conduct of science and is driven by the greater volumes, complexity, and heterogeneity of data being made available over the Internet. It combines aspects of data management, library science, computer science, and physical science. It is changing the way all of these disciplines do both their individual and collaborative work. Key methodologies in application areas based on real research experience are taught.
Prerequisites/Corequisites: Data Structures (CSCI 1200), Database Systems (CSCI 4380) preferred.
When Offered: Fall term annually.
Cross Listed: Cross listed as ITWS 4350/6350, CSCI 6350 and ERTH 4350/6350. Students can obtain credits for only one of these courses.
Credit Hours: 3
Credit Hours: 3 |
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CSCI 4370 - Data and Society
Data and Society provides a broad overview of how society is leveraging and responding to the social, organizational, policy, and technical opportunities and challenges of a data-driven world. Course themes focus on various aspects of the data ecosystem, data and innovation, and data and the broader community. Assignments build writing, presentation, and critical thinking, and assessment skills, all of which are important for professional success. This is a communication-intensive course.
Prerequisites/Corequisites: CSCI 4350/6350 or ITWS 4350/6350 or permission of instructor.
When Offered: Spring term annually.
Cross Listed: CSCI 6370. Students cannot receive credit for both CSCI 4370 and CSCI 6370.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4380 - Database Systems
Discussion of the state of practice in modern database systems, with an emphasis on relational systems. Topics include database design, database system architecture, SQL, normalization techniques, storage structures, query processing, concurrency control, recovery, security, and new directions such as object-oriented and distributed database systems. Students gain hands-on experience with commercial database systems and interface building tools. Programming projects are required.
Prerequisites/Corequisites: Prerequisite: CSCI 2300.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4390 - Data Mining
This course will provide an introductory survey of the main topics in data mining and knowledge discovery in databases (KDD), including: classification, clustering, association rules, sequence mining, similarity search, deviation detection, and so on. Emphasis will be on the algorithmic and system issues in KDD, as well as on applications such as Web mining, multimedia mining, bioinformatics, geographical information systems, etc.
Prerequisites/Corequisites: Prerequisites: CSCI 2300.
When Offered: Fall term annually.
Cross Listed: CSCI 6390. Students cannot receive credit for both CSCI 4390 and CSCI 6390.
Credit Hours: 4
Credit Hours: 4 |
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CSCI 4400 - X-informatics
Informatics covers a broad range of disciplines addressing challenges in the explosion of data and information resources. Xinformatics provides commonality for implementations in specific disciplines, e.g. X=astro, geo. Informatics’ theoretical bases are information and computer science, cognitive science, social science, library science, aggregating these studies and adding the practice of information processing, and the engineering of information systems. This course grounds the material that students will learn in discipline areas by coursework and project assignments.
Prerequisites/Corequisites: CSCI 1200 and Data Science (CSCI/ERTH/ITWS 496x/696x).
When Offered: Spring term annually.
Cross Listed: ITWS 6400, CSCI 6400, and ERTH 4400/6400. Students can only obtain credit for one of these courses.
Credit Hours: 3
Credit Hours: 3 |
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