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Course Criteria
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6.00 Credits
This course is for those with moderate programming skills who want to express their interactive ideas in working prototypes. The course will cover several prototyping tools and require a number of prototypes to be constructed in each. These will range from animated mock-ups through fully functional programs. The course will also cover usability testing of interactive prototypes. Prerequisities: proficiency in a programming language such as C, programming methodology and style, problem analysis, program structure, algorithm analysis, data abstraction, and dynamic data, normally met through an introductory course in programming in C, C++, Pascal or JAVA.
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6.00 Credits
This course is intended for those with advanced programming skills who want to do serious development of graphical user interfaces. This course includes: an introduction to task analysis and functional design of the user interface; basic principles of computer graphics used in UI implementation; event handling and event dispatching models; screen update algorithms and multi-view architectures; input syntax formalisms and their transformation into programs; interactive geometry; architectures for advanced features such as cut/copy/paste, macros and groupware. The course is intended for computer science majors. In some cases, the student and the Program Director will jointly determine the choice of 05-430 or 05-431, based upon the student's previous programming experience.
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9.00 Credits
No course description available.
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12.00 Credits
Machine Learning is concerned with computer programs that enable the behavior of a computer to be learned from examples or experience rather than dictated through rules written by hand. It has practical value in many application areas of computer science such as on-line communities and digital libraries. This class is meant to teach the practical side of machine learning for applications, such as mining newsgroup data or building adaptive user interfaces. The emphasis will be on learning the process of applying machine learning effectively to a variety of problems rather than emphasizing an understanding of the theory behind what makes machine learning work. This course does not assume any prior exposure to machine learning theory or practice. In the first 2/3 of the course, we will cover a wide range of learning algorithms that can be applied to a variety of problems. In particular, we will cover topics such as decision trees, rule based classification, support vector machines, Bayesian networks, and clustering. In the final third of the class, we will go into more depth on one application area, namely the application of machine learning to problems involving text processing, such as information retrieval or text categorization.
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9.00 Credits
No course description available.
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12.00 Credits
Computing is increasingly harnessed to address pressing educational challenges of the 21st century: under-performing inner-city schools, integrating immigrants into the school system, irregular school attendance in rural developing regions, and women empowerment in the developing world. This course is open to all undergrads and grad students, with technical or non-technical backgrounds. We will cover theory and practical applications of the Learning Sciences, Educational Technology and Human-Computer Interaction, framed around authentic problems such as the above. Students will apply concepts from the course to examine existing solutions such as Sesame Street's The Electric Company, Leapfrog's literacy gadgets and the $100 laptop. Students will work in teams on semester-length design projects to tackle educational problems of their choice, on platforms such as cellphones, interactive videos or gaming (Nintendo's Wii/DS/$10 TV-Computer). Confirmed guest speakers include the World Bank's Education Sector and Microsoft's Global Learning Group.
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9.00 - 12.00 Credits
05-499A Environmental Hackfest Miller/Mankoff See hackfest.cmubi.org for description. http://www.hcii.cmu.edu/courses/special-topics-environmental-hackfest 05-499B Designing Mobile Services Zimmerman/Morris http://www.hcii.cmu.edu/courses/special-topics-designing-mobile-services
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12.00 Credits
This is a project-oriented course, which will deal with all four aspects of project development: the application, the artifact, the computer-aided design environment, and the physical prototyping facilities. The class consists of students from different disciplines who must synthesize and implement a system in a short period of time. Upon completion of this course the student will be able to: generate systems specifications from a perceived need; partition functionality between hardware and software; produce interface specifications for a system composed of numerous subsystems; use computer-aided development tools; fabricate, integrate, and debug a hardware/software system; and evaluate the system in the context of an end user application. The class consists of students from different disciplines who must synthesize and implement a system in a short period of time.
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12.00 Credits
Experiential learning is a key component of the MHCI program. Through a substantial team project, students apply classroom knowledge in analysis and evaluation, implementation and design, and develop skills working in multidisciplinary teams. Student teams work with Carnegie Mellon University-based clients or external clients to iteratively design, build and test a software application which people directly use.
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3.00 - 24.00 Credits
In collaboration with and with the permission of the professor, undergraduate students may engage in independent project work on any number of research projects sponsored by faculty. Students must complete an Independent Study Proposal, negotiate the number of units to be earned, complete a contract, and present a tangible deliverable. The Undergraduate Program Advisor's signature is required for HCI undergraduate-level Independent Study courses.
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