Information Science (INFO)Computing & Information Sci
Showing 72 results.
Course descriptions provided by the 2026-2027 Catalog.
Last Updated
- Schedule of Classes - October 15, 2026 7:07PM EDT
Classes
INFO 1260
Course Description
Computing requires difficult choices that can have serious implications for real people. This course covers a range of ethical, societal, and policy implications of computing and information. It draws ... view course details
Regular Academic Session. Combined with: CS 1340
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MWF
- Jan 25 - May 11, 2027
Instructors
Kleinberg, J
Levy, K
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 1300
Course Description
This course is designed to introduce students to the conceptual, design, and technical aspects of developing static front-end accessible websites. No prior knowledge of programming, or web design is assumed ... view course details
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Westwater, R
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Westwater, R
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Westwater, R
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Westwater, R
-
Additional Information
Instruction Mode: In Person
INFO 1340
Course Description
A fast-paced, intro-level class on data science, text analysis, and AI in the humanities. The course examines how computational methods can help analyze millions of books; how data and machine learning ... view course details
Regular Academic Session. Combined with: ENGL 1340
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Wilkens, M
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 1720
Course Description
This course teaches students from any background how AI works and how to use it effectively. Students will learn how modern AI systems work, demystifying the large language models behind chatbots, image ... view course details
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Huang, L
Kizilcec, R
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Huang, L
Kizilcec, R
-
Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Huang, L
Kizilcec, R
-
Additional Information
Instruction Mode: In Person
INFO 1998
Course Description
Independent work in information science as part of a student-led team project. Intended for first-year students on project teams, project team members in training, and for project team members performing ... view course details
Seven Week - Second.
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Credits and Grading Basis
1-2 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
Project Session Full.
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Credits and Grading Basis
1-2 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
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Section Topic
Topic: Introduction to Machine Learning
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Class Number & Section Details
-
Meeting Pattern
- W
- Jan 25 - May 11, 2027
Instructors
Kizilcec, R
-
Additional Information
Instruction Mode: In Person
Application required. See https://forms.gle/qLZuuTEjpMsS79Lc9 to apply.
Instructor Consent Required (Add)
Project Session Full.
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Credits and Grading Basis
1-2 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
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Section Topic
Topic: Trends in Web Development
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Class Number & Section Details
-
Meeting Pattern
- M
- Jan 25 - May 11, 2027
Instructors
Harms, K
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Instructor Consent Required (Add)
Project Session Full.
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Credits and Grading Basis
1-2 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
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Section Topic
Topic: Intro to Product Strategy
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Class Number & Section Details
-
Meeting Pattern
- M
- Jan 25 - May 11, 2027
Instructors
Leshed, G
-
Additional Information
Instruction Mode: In Person
For more information, see https://numerous-name-b50.notion.site/Intro-to-Product-Strategy-2a30ad723ce180049d93ea2dbe0fd243
INFO 2310
Course Description
This course introduces students to the conceptual, design, and technical aspects of authoring client-side interactive web applications. Students will use the JavaScript programming language to author dynamic ... view course details
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Harms, K
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
-
Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Harms, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Harms, K
-
Additional Information
Instruction Mode: In Person
INFO 2770
Course Description
Balancing environmental, economic, and societal needs for a sustainable future encompasses problems of unprecedented size and complexity. Computing and information science can play an important role in ... view course details
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Gomes, C
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 2950
Course Description
INFO 2950 is an applied introductory course on the foundations of data science, focusing on using data to identify patterns, evaluating the strength and significance of relationships, and generating predictions ... view course details
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Mimno, D
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
-
Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Mimno, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Mimno, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Mimno, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Mimno, D
-
Additional Information
Instruction Mode: In Person
INFO 3140
Course Description
This course states and motivates the observation that cognition is fundamentally a computational process and explores the implications of this idea. Students are introduced to a variety of conceptual tools ... view course details
Regular Academic Session. Combined with: COGST 3140, PSYCH 3140
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
INFO 3150
Course Description
This course examines how leaders can effectively guide organizations and teams in environments increasingly shaped by artificial intelligence, automation, data-driven decision making, and digital ... view course details
Regular Academic Session. Combined with: INFO 5150
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Priehs, M
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 3152
Course Description
A project-based course in which programmers and designers collaborate to make a computer game. This course investigates the theory and practice of developing computer games from a blend of technical, aesthetic, ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: CS 3152
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Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MWF
- Jan 25 - May 11, 2027
Instructors
White, W
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Instructor Consent Required (Add)
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
White, W
-
Additional Information
Instruction Mode: In Person
Instructor Consent Required (Add)
INFO 3200
Course Description
This course addresses the contemporary socio- technological challenges and debates about digital media and information technologies and their impact on society. It covers a broad spectrum of topics spanning ... view course details
Regular Academic Session. Combined with: COMM 3200
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
INFO 3210
Course Description
This course explores the political economy of technology, examining how flows of money and power shape the design and use of technological systems. We will draw on research and theories from across the ... view course details
Regular Academic Session.
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Shestakofsky, B
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 3300
Course Description
This course will cover technologies for representing, modeling and displaying data in the context of interactive web pages. Practical skills for building web pages will be mixed with data mining algorithms ... view course details
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Huang, L
Soltoff, B
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 3561
Course Description
Computers are powerful tools for working, playing, thinking, and living. Laptops, PDAs, webcams, cell phones, and iPods are not just devices, they also provide narratives, metaphors, and ways of seeing ... view course details
Regular Academic Session. Combined with: ANTHR 3061, COMM 3560, STS 3561, VISST 3560
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
INFO 3720
Course Description
Large language models (LLMs) are ubiquitous. This course is about how they work, understood in both a technical and holistic sense: what's going on inside these models, and how do they interact with the ... view course details
Regular Academic Session. Combined with: INFO 5720
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Matthews, J
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 3730
Course Description
Agentic AI Architecture teaches students to build modern AI Agents and Applications, progressing from large language model (LLM) fundamentals to autonomous agents. Students first develop practical intuition ... view course details
Regular Academic Session. Combined with: INFO 5730
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Boucher, A
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 3950
Course Description
This course will cover intermediate-level applications of data science, with focus on discovery, interpretation, and communication of meaningful patterns in data. Topics will include regression, classification, ... view course details
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Ginsparg, P
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 4152
Course Description
Project-based follow-up course to INFO 3152. Students work in a multidisciplinary team to develop a game that incorporates innovative game mechanics. Advanced topics include nontraditional input schemes, ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: CS 4152, CS 5152, INFO 5152
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MWF
- Jan 25 - May 11, 2027
Instructors
White, W
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Instructor Consent Required (Add)
-
Class Number & Section Details
-
Meeting Pattern
- W
- Jan 25 - May 11, 2027
Instructors
White, W
-
Additional Information
Instruction Mode: In Person
Instructor Consent Required (Add)
INFO 4210
Course Description
Machine intelligence is rapidly improving. Recent surveys of top AI experts suggest there is around a 10% chance that by 2027 machines will be smarter than humans in nearly all tasks, and about a 50% chance ... view course details
Regular Academic Session. Combined with: PUBPOL 4210, PUBPOL 5211
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
INFO 4220
Course Description
Networks II builds on its prerequisite course and continues to examine how each of the computing, economic, sociological and natural worlds are connected and how the structure of these connections affects ... view course details
Regular Academic Session. Combined with: CS 4852, ECON 3825, INFO 6220
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Cheyre Forestier, C
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 4270
Course Description
This course will provide a detailed look at U.S. copyright law with an emphasis on information technologies. Copyright is a complex legal concept that is especially relevant in an age of digital information. ... view course details
Regular Academic Session. Combined with: INFO 5270
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Priehs, M
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 4300
Course Description
How to make sense of the vast amounts of information available online, and how to relate it and to the social context in which it appears? This course introduces basic tools for retrieving and analyzing ... view course details
Regular Academic Session. Combined with: CS 4300
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Staff
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 4345
Course Description
In this studio-based course, students will gain practical experience designing and implementing computing system prototypes to evaluate the feasibility of integrating new technologies, like large language ... view course details
Regular Academic Session. Combined with: INFO 5346
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Harms, K
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 4400
Course Description
This upper-level course provides an in-depth understanding of and experience with advanced concepts and techniques for researching, ideating, critiquing, designing, and evaluating interactive technologies ... view course details
Regular Academic Session. Combined with: COMM 4400, INFO 5400, INFO 6400
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Leshed, G
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 4420
Course Description
This course will introduce User Experience design technique taught in a Studio. Students will work on a series of design studies and a semester long design project exploring advanced User Interaction design ... view course details
Regular Academic Session. Combined with: INFO 6520
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
-
Meeting Pattern
- WF
- Jan 25 - May 11, 2027
Instructors
Guimbretiere, F
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Instructor Consent Required (Add)
INFO 4450
Course Description
Focuses on reading and evaluating the theories and research methodologies used to investigate communication via computer systems. Assignments include student collaborations using electronic conferencing ... view course details
Regular Academic Session. Combined with: COMM 4450, COMM 6450, INFO 5450, INFO 6450
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Fussell, S
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 4470
Course Description
This course aims to equip future designers and decision-makers of AI products and services with the knowledge and skills they need to maximize AI's societal benefits while minimizing its risks and harms. ... view course details
Regular Academic Session. Combined with: INFO 5470
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Yang, Q
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 4730
Course Description
The AI Innovation Lab is a project studio in which student teams build real, deployable AI solutions for Cornell stakeholders and public engagement initiatives. Each semester, Cornell units submit authentic ... view course details
Regular Academic Session. Combined with: INFO 5731
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- M
- Jan 25 - May 11, 2027
Instructors
Boucher, A
-
Additional Information
Instruction Mode: In Person
See https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ZkN-XZsbz0WOebFLJ99G4ejupEMMcpFNtR_5QJvMpupUMjlNSUJSUk5ITkU0RFNFSFdLQUpURERCMC4u to apply.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/Instructor Consent Required (Add)
INFO 4900
Course Description
Independent reading and research for undergraduates. view course details
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
-
Meeting Pattern
- Jan 25 - May 11, 2027
Instructors
Staff
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Bowers Computing & Information Science Research Form (https://experience.cornell.edu/opportunities/cornell-bowers-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Department Consent Required (Add)
INFO 4910
Course Description
Involves working as a teaching assistant in a course in the information science or information science, systems, and technology major. view course details
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
INFO 4940
Course Description
Study of topics not currently covered in INFO offerings, as determined by faculty and student interest. view course details
Regular Academic Session. Combined with: INFO 5940
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Section Topic
Topic: Law, Policy, and Politics of AI
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Mitrano, T
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Regular Academic Session. Combined with: INFO 5940
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Section Topic
Topic: Building Inclusive Computing Organizations
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Cleare, S
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 4997
Course Description
This independent study course offers IS majors (i.e., undergraduates whose applications to affiliate with the IS major have been approved) an opportunity to reflect on concepts from information science ... view course details
Project Session Full.
-
Credits and Grading Basis
0.25 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
Project Session Full.
-
Credits and Grading Basis
0.25 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
Project Session Full.
-
Credits and Grading Basis
0.25 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
Project Session Full.
-
Credits and Grading Basis
0.25 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
Project Session Full.
-
Credits and Grading Basis
0.25 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
INFO 4998
Course Description
Advanced independent work in information science as part of a student-led team project. Students must make individual arrangements with a faculty sponsor. Students are expected to spend 3-4 hours per week ... view course details
INFO 5000
Course Description
This independent study course offers IS MPS Grad Students strictly for CPT purposes only. view course details
INFO 5150
Course Description
This course examines how leaders can effectively guide organizations and teams in environments increasingly shaped by artificial intelligence, automation, data-driven decision making, and digital ... view course details
Regular Academic Session. Combined with: INFO 3150
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Priehs, M
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 5152
Course Description
Project-based follow-up course to INFO 3152. Students work in a multidisciplinary team to develop a game that incorporates innovative game mechanics. Advanced topics include nontraditional input schemes, ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: CS 4152, CS 5152, INFO 4152
-
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MWF
- Jan 25 - May 11, 2027
Instructors
White, W
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Instructor Consent Required (Add)
-
Class Number & Section Details
-
Meeting Pattern
- W
- Jan 25 - May 11, 2027
Instructors
White, W
-
Additional Information
Instruction Mode: In Person
Instructor Consent Required (Add)
INFO 5213
Course Description
The course is organized around five major case studies on the use of discrete optimization and data (AI at large) for smart cities. Namely, 1) bike sharing, 2) bus transportation planning, 3) fairness ... view course details
Regular Academic Session. Combined with: ORIE 5213
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
INFO 5270
Course Description
This course will provide a detailed look at U.S. copyright law with an emphasis on information technologies. Copyright is a complex legal concept that is especially relevant in an age of digital information. ... view course details
Regular Academic Session. Combined with: INFO 4270
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Priehs, M
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 5303
Course Description
This course introduces students to privacy technologies and surveys the current state of digital privacy from multiple perspectives, including technology, law, policy, ethics, economics, and ... view course details
Regular Academic Session. Combined with: CS 5436
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
INFO 5304
Course Description
This course focuses on the practical aspects of data science by providing tools to identify data patterns, evaluate the strength and significance of relationships, and generate predictions using data. ... view course details
Regular Academic Session. Combined with: CS 5304
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
INFO 5305
Course Description
This advanced course provides an in-depth study of user experience research methods and how they are used to inform design. Students take a deep dive into core methods including interviews, qualitative ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
INFO 5330
Course Description
This course evaluates the role of the information ecosystem in contributing to the health of our society with the goal of developing ideas and tools that can help citizens be equipped with the knowledge ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
INFO 5346
Course Description
In this studio-based course, students will gain practical experience designing and implementing computing system prototypes to evaluate the feasibility of integrating new technologies, like large language ... view course details
Regular Academic Session. Combined with: INFO 4345
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Harms, K
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 5358
Course Description
Designing products and experiences for head-mounted displays, often with novel inputs such as hands and eyes, introduces new challenges for designers when compared to traditional devices and user interfaces. ... view course details
Regular Academic Session. Combined with: DESIGN 5358
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
INFO 5368
Course Description
This course provides hands-on experience developing and deploying foundational machine learning algorithms on real-world datasets for practical applications including predicting housing prices, document ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
INFO 5375
Course Description
This course introduces students the various real-world health related problems such as patient screening, risk modeling, disease subtyping and precision medicine, along with their associated data, such ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
INFO 5380
Course Description
Historically, computing encompassed one-dimensional Input/Output using command line interfaces. The GUI and mouse brought 2D I/O to computing, and later VR and 3D Scanning allowed for 3D I/O. The next ... view course details
Regular Academic Session. Combined with: ECE 5245
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
INFO 5390
Course Description
Machine learning is increasingly used in both high-stakes and everyday settings. Yet, its impacts are uneven, often reinforcing existing social hierarchies by disproportionately benefiting some groups ... view course details
Regular Academic Session. Combined with: CS 5382
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
INFO 5400
Course Description
This upper-level course provides an in-depth understanding of and experience with advanced concepts and techniques for researching, ideating, critiquing, designing, and evaluating interactive technologies ... view course details
Regular Academic Session. Combined with: COMM 4400, INFO 4400, INFO 6400
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Leshed, G
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 5420
Course Description
The course will ground students in the basics of urban and spatial design practices as well as the surrounding environmental, sociological, political, and economic dimensions. This course will use primary ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
INFO 5450
Course Description
Focuses on reading and evaluating the theories and research methodologies used to investigate communication via computer systems. Assignments include student collaborations using electronic conferencing ... view course details
Regular Academic Session. Combined with: COMM 4450, COMM 6450, INFO 4450, INFO 6450
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Fussell, S
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 5470
Course Description
This course aims to equip future designers and decision-makers of AI products and services with the knowledge and skills they need to maximize AI's societal benefits while minimizing its risks and harms. ... view course details
Regular Academic Session. Combined with: INFO 4470
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- F
- Jan 25 - May 11, 2027
Instructors
Yang, Q
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 5555
Course Description
This course is a survey of the computing systems, technologies, and data sets used throughout the healthcare system--spanning provider, patient, payer, and pharma. Students will gain an understanding of ... view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits Stdnt Opt(Letter or S/U grades)
INFO 5720
Course Description
Large language models (LLMs) are ubiquitous. This course is about how they work, understood in both a technical and holistic sense: what's going on inside these models, and how do they interact with the ... view course details
Regular Academic Session. Combined with: INFO 3720
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Matthews, J
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 5730
Course Description
Agentic AI Architecture teaches students to build modern AI Agents and Applications, progressing from large language model (LLM) fundamentals to autonomous agents. Students first develop practical intuition ... view course details
Regular Academic Session. Combined with: INFO 3730
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Boucher, A
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 5731
Course Description
The AI Innovation Lab is a project studio in which student teams build real, deployable AI solutions for Cornell stakeholders and public engagement initiatives. Each semester, Cornell units submit authentic ... view course details
Regular Academic Session. Combined with: INFO 4730
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- M
- Jan 25 - May 11, 2027
Instructors
Boucher, A
-
Additional Information
Instruction Mode: In Person
See https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=ZkN-XZsbz0WOebFLJ99G4ejupEMMcpFNtR_5QJvMpupUMjlNSUJSUk5ITkU0RFNFSFdLQUpURERCMC4u to apply.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/Instructor Consent Required (Add)
INFO 5755
Course Description
Robot and automated systems often need to move in and around people. This technical and human-centered course surveys current physical, computation and sensing technologies that make mobile human robot ... view course details
Regular Academic Session. Combined with: CS 5755
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
INFO 5900
Course Description
Independent research for Master of Professional Studies students. view course details
Project Session Full.
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- T
- Jan 25 - May 11, 2027
Instructors
Cleare, S
-
Additional Information
Instruction Mode: Directed Research
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Instructor Consent Required (Add)
INFO 5905
Course Description
This course will focus on career development topics specifically for MPS Information Science students. Through a series of discussions, activities, and guest speaker lectures, students will further develop ... view course details
Seven Week - First.
-
Credits and Grading Basis
0.5 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
-
Class Number & Section Details
-
Meeting Pattern
- R
- Jan 25 - Mar 16, 2027
Instructors
Salk, R
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Information Science Master's students.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 5920
Course Description
All students of the Jacobs Institute are required to complete a two-semester Specialization research project. We offer two Tracks for completing this requirement. * Track 1 Specialization projects are ... view course details
Seven Week - Second. Choose one lecture and one project.
-
Credits and Grading Basis
1-5 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- T
- Mar 17 - May 11, 2027
Instructors
Leon, W
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Cornell Tech first-year Jacob's students.
INFO 5940
Course Description
Study of topics not currently covered in INFO offerings, as determined by faculty and student interest. view course details
Regular Academic Session. Combined with: INFO 4940
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Mitrano, T
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Regular Academic Session. Combined with: INFO 4940
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Cleare, S
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 6120
Course Description
This course will introduce students to the field of Ubiquitous Computing - a multidisciplinary research area that draws from Machine Learning, Machine Perception, Signal Processing, Human Computer Interaction, ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
INFO 6220
Course Description
Networks II builds on its prerequisite course and continues to examine how each of the computing, economic, sociological and natural worlds are connected and how the structure of these connections affects ... view course details
Regular Academic Session. Combined with: CS 4852, ECON 3825, INFO 4220
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Cheyre Forestier, C
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 6400
Course Description
This upper-level course provides an in-depth understanding of and experience with advanced concepts and techniques for researching, ideating, critiquing, designing, and evaluating interactive technologies ... view course details
Regular Academic Session. Combined with: COMM 4400, INFO 4400, INFO 5400
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Jan 25 - May 11, 2027
Instructors
Leshed, G
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Information Science Doctor of Philosophy (PhD) students.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 6432
Course Description
Today’s smart devices have multiple wireless sensors such as acoustic, WiFi and Lidar. These sensors can enable sensing of both static objects and any motion activity in the environment. Researchers have ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
INFO 6450
Course Description
Focuses on reading and evaluating the theories and research methodologies used to investigate communication via computer systems. Assignments include student collaborations using electronic conferencing ... view course details
Regular Academic Session. Combined with: COMM 4450, COMM 6450, INFO 4450, INFO 5450
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Fussell, S
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Information Science Doctor of Philosophy (PhD) students.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
INFO 6520
Course Description
This course will introduce User Experience design technique taught in a Studio. Students will work on a series of design studies and a semester long design project exploring advanced User Interaction design ... view course details
Regular Academic Session. Combined with: INFO 4420
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- WF
- Jan 25 - May 11, 2027
Instructors
Guimbretiere, F
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Instructor Consent Required (Add)
INFO 6940
Course Description
Study of topics not currently covered in INFO offerings, as determined by faculty and student interest. view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
-
Section Topic
Topic: Does Technology Work? Art of Technology Assessment
-
Class Number & Section Details
-
Meeting Pattern
- T
- Jan 25 - May 11, 2027
Instructors
Vidan, G
-
Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
INFO 7090
Course Description
For staff, visitors, and graduate students interested in information science. view course details
Regular Academic Session.
-
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
INFO 7900
Course Description
Independent research for MPS students and pre-A exam Ph.D. Students. view course details
INFO 9900
Course Description
Thesis research for post-A exam Ph.D. Students. view course details
Project Session Full.
-
Credits and Grading Basis
1-15 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
