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Course Criteria
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1.00 Credits
Seminar course encourages an integrated exploration and analysis of arts events, utilizing specific examples of interdisciplinary approaches in the arts combined with direct experience of multiple arts events available to students throughout the term.
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3.00 Credits
Students will explore the relationships between the fine and performing arts in the form of seminars to be offered at the start of the course.These seminars will provide the stimulus for the students' final projects that will emphasize and express their major area of study. The directed project will also focus on creative and critical thinking.
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3.00 Credits
Review of FORTRAN; solution of algebraic, simultaneous, and differential equations; numerical integration; curve fitting; error analysis; file techniques. Prerequisites: ENGR 0011, 0012
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3.00 Credits
Designed to introduce students to a number of the most critical global issues—rapid population growth, hunger, third-world development, international trade and foreign competition, and the arms race—and to examine the interrelationships between these issues. Emphasis is on developing a global perspective . GE: Political Science
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3.00 Credits
A survey of fundamental concepts and activities on information technology applied to health care. Topics include computer-based medical records, knowledge-based systems, tele health, decision theory and decision support, human-computer interfaces, systems integration, the digital library, and educational applications. Department-specific applications such as pathology, radiology, psychiatry and intensive care are also discussed.
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1.00 Credits
This course is required of all first-year ISP students. It is based on the ISP bi-weekly forum talks. A forum session typically consists of two research talks given by ISP faculty, ISP students, or guest speakers. Students enrolled are required to attend all but two forum sessions per term, and should attend all talks in a given session. Students are required to write a 1-page paper about each talk attended, stating what they found to be most interesting about the talk and why. The papers should be mailed to the course-coordinators within a week of the talk. Students should identify a topic of interest, related to at least one of the talks, and find an appropriate and willing ISP faculty member to be their project advisor. They should develop a project proposal, with input from their project advisor. Typically, a project should be a literature review or a well circumscribed pilot study. Proposals should be submitted to the course coordinators for their approval by the end of the term.
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3.00 Credits
This course is designed to extend an experienced students' programming abilities through review of current program design and coding techniques, including fourth-generation languages, the unified modeling language (UML), object-oriented programming and extreme programming. The course includes a strong practical programming component based on the python language that includes in-class laboratories, weekly practical programming problems, and midterm and final programming projects. Programming assignments are drawn from areas relevant to medical informatics such as structured text and image processing, network communications, database management, natural language processing, expert systems, etc., Through the course students learn to understand the programming process at a practical level and gain the ability to independently create useful software tools. Special permission from instructor is required for this course.
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3.00 Credits
This seminar provides an introduction to computational approaches for probabilistic modeling and inference. A particular focus is placed on bayesian networks, although other probabilistic models also will be studied. Medical applications are emphasized, however, the principles are general and no medical knowledge is needed to take the course. The course does not require knowledge of a computer programming language. An understanding of basic probability theory would be helpful, but is not required.
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3.00 Credits
Provides an introduction to selected topics of bioinformatics also known as computational biology. In this course, the difficult computational problems involving different types of biological information are identified using case studies from current literature. Emphasis is on genomic aspects of computational biology with some overview of proteomics and structural aspects. The course is structured as a seminar course intending to draw students into participating in discussions related to both problems and existing solutions.
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3.00 Credits
This course covers the foundational techniques in artificial intelligence, including: problem definition and analysis, heuristic search, adversarial search, knowledge representation, planning and constraint satisfaction, and methods for reasoning under uncertainty. Attention will be given to the roles of these techniques in the design of intelligent agents.
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