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This concentration provides students with the analytical and technical skills they need to design and build functional technical systems.
The core course related to this concentration is INFO 1300: Introductory Design and Programming for the Web. CS 2110: Object-Oriented Programming and Data Structures is a required course for this concentration.
Some faculty members whose research is related to this concentration include: Chris Csíkszentmihályi, Gilly Leshed, Francois Guimbretiere, Kyle Harms, Wendy Ju, Malte Jung, Rajalakshmi Nandakumar, Aditya Vashistha, Qian Yang, and Cheng Zhang.
Career Paths
- Students interested in the hardware and software aspects of computation and interested in building novel tools and interaction mechanisms that could be used to tackle big societal issues.
- Example career paths: (i) Founding a novel wearable startup (ii) part of the development team for Apple's iWatch and their future devices (iii) Graduate study at MIT Media Lab, CornellTech or similar interdisciplinary programs.
INTERACTIVE TECHNOLOGIES COURSES
Please reference the Cornell Class Roster for details on the courses below.
This concentration can be completed by taking:
- One course each from A, B, and C; and one additional course from any of the three categories.
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If you count Interactive Technologies as your secondary concentration, then take one course each from A, B, and C.
A. Building with Hardware (choose one)
- INFO 4120: Ubiquitous Computing
- INFO 4320: Introduction to Rapid Prototyping and Physical Computing
- CS 4758: Autonomous Mobile Robots
B. Working with Data/Software (choose one)
- INFO 3300: Visual Data Analytics for the Web (previously Data-Driven Web Applications)
- INFO 4340: App Design and Prototyping
- INFO 4555: Business Intelligence Systems
- CS 3780 (previously 4780): Machine Learning for Intelligent Systems
- CS 4786: Machine Learning for Data Science
- CS 4620: Introduction to Computer Graphics
- CS 5150: Software Engineering
- ORIE 4740: Statistical Data Mining I
- ORIE 3741 (previously 4741): Learning with Big Messy Data
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STSCI 3740 (previously 4740): Data Mining and Machine Learning
C. Context/Application Domains (choose one)
- INFO 4152: Advanced Topics in Computer Game Design
- INFO 4154: Analytics-driven Game Design
- INFO 4275: Novel Interaction Techniques
- INFO 4310: Interactive Information Visualization
- INFO 4410: Re-Designing Robots
- INFO 4430: Teams and Technology
- INFO 4505: Computing and Global Development
- INFO 4940: Special Topics - Human-AI Interaction Design Research
- INFO 4940: Special Topics - Producing Culture About, With, and Through Tech
- CS 4752: Robotic Manipulation