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EN 600.435: Artificial Intelligence
3.00 Credits
Johns Hopkins University
Prereq: 600.226, 550.171; Recommended: linear algebra, prob/stat. Students may receive credit for 600.335 or 600.435, not both. Graduate level version of 600.335 [Applications].
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EN 600.435 - Artificial Intelligence
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EN 600.444: Computer Networks
3.00 Credits
Johns Hopkins University
Prereq: 600.333 or 600.433 or permission. Students can only receive credit for 600.344 or 600.444, not both. Graduate level version of 600.344. [Systems]
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EN 600.444 - Computer Networks
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EN 600.446: Computer Integrated Surgery II
3.00 Credits
Johns Hopkins University
Prereq: 600.445 or perm req'd. Students may receive credit for 600.446 or 600.646, but not both. This weekly lecture/seminar course addresses similar material to 600.445, but covers selected topics in greater depth. In addition to material covered in lectures/seminars by the instructor and other faculty, students are expected to read and provide critical analysis/presentations of selected papers in recitation sessions. Students taking this course are required to undertake and report on a significant term project under the supervision of the instructor and clinical end users. Typically, this project is an extension of the term project from 600.445, although it does not have to be. Grades are based both on the project and on classroom recitations. Students wishing to attend the weekly lectures as a 1-credit seminar should sign up for 600.452. Students may also take this course as 600.646. The only difference between 600.446 and 600.646 is the level of project undertaken. Typically, 600.646 projects require a greater degree of mathematical, image processing, or modeling background. Prospective students should consult with the instructor as to which course number is appropriate. [Applications]
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EN 600.446 - Computer Integrated Surgery II
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EN 600.452: Sem:Comp Integ Surg II
1.00 Credits
Johns Hopkins University
Prereq: 600.445 or perm req'd. Students may receive credit for 600.446 or 600.452, but not both. Lecture only version of 600.446 (no project).
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EN 600.452 - Sem:Comp Integ Surg II
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EN 600.454: Practical Cryptographic Systems
3.00 Credits
Johns Hopkins University
This semester-long course will teach systems and cryptographic design principles by example: by stud-ying and identifying flaws in widely-deployed cryptographic products and protocols. Our focus will be on the techniques used in practical security systems, the mistakes that lead to failure, and the approaches that might have avoided the problem. We will place a particular emphasis on the techniques of provable security and the feasibility of reverse-engineering undocumented cryptographic systems. [Systems]
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EN 600.454 - Practical Cryptographic Systems
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EN 600.457: Computer Graphics
3.00 Credits
Johns Hopkins University
Prereq: 600.120 (C++), 600.226, linear algebra. Permission of instructor is required for students not satisfying a pre-requisite. Graduate level verson of 600.357. Students may receive credit for 600.357 or 600.457, but not both. [Applications]
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EN 600.457 - Computer Graphics
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EN 600.463: Algorithms I
3.00 Credits
Johns Hopkins University
Prereq: 600.226 or Perm. req'd. Graduate version of 600.363. Students may receive credit for 600.363 or 600.463, but not both.
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EN 600.463 - Algorithms I
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EN 600.466: Information Retrieval and Web Agents
3.00 Credits
Johns Hopkins University
Prereq: 600.226 An in-depth, hands-on study of current information retrieval techniques and their application to developing intelligent WWW agents. Topics include a comprehensive study of current document retrieval models, mail/news routing and filtering, document clustering, automatic indexing, query expansion, relevance feedback, user modeling, information visualization and usage pattern analysis. In addition, the course explores the range of additional language processing steps useful for template filling and information extraction from retrieved documents, focusing on recent, primarily statistical methods. The course concludes with a study of current issues in information retrieval and data mining on the World Wide Web. Topics include web robots, spiders, agents and search engines, exploring both their practical implementation and the economic and legal issues surrounding their use. [Applications]
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EN 600.466 - Information Retrieval and Web Agents
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EN 600.488: Foundations of Computational BIology & Bioinformatics II
3.00 Credits
Johns Hopkins University
Prerequisites: math through linear algebra and differential equations, 580.221 or equiv., 600.226 or equiv. This course will introduce probabilistic modeling and information theory applied to biological sequence analysis, focusing on statistical models of protein families, alignment algorithms, and models of evolution. Topics will include probability theory, score matrices, hidden Markov models, maximum likelihood, expectation maximization and dynamic programming algorithms. Homework assignments will require programming in Python. Foundations of Computational Biology I is not a prereq. [Analysis] Co-listed with 580.488. Organizational meeting 1/31,4pm,Clark 110.
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EN 600.488 - Foundations of Computational BIology & Bioinformatics II
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EN 600.492: Comp Science Workshop II
3.00 Credits
Johns Hopkins University
Permission of faculty sponsor is required.
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EN 600.492 - Comp Science Workshop II
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