Graduate classes, Spring 2012, Computer Science

CS 558: NetworkingCredits: 4− Description− Sections
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
000MSC: W302TuTh 11:30am - 12:45pmVaidy Sunderammax 13
CS 572: Information RetrievalCredits: 4− Description− Sections
Content: The course will cover theoretical and practical aspects of text information management (Information Retrieval, Web Search and Textual Data Mining). Review of IR history and in depth coverage of state-of-the-art retrieval frameworks (language models, axiomatic and decision-theoretic approaches); IR and web search systems evaluation; relevance feedback and interactive search; user modeling; Web search techniques (crawling, indexing, results ranking and link-based algorithms); textual data clustering and classification; topic models; IR applications (enterprise search, Web 2.0 user-generated content).
Texts: 1. C.Manning, H.Schutze, P.Raghavan. Introduction to Information Retrieval. Cambridge University Press, 2008, 1st edition, ISBN 978-0521865715 (REQUIRED) 2. S.Buettcher, C.Clarke, G.Cormack. Information Retrieval: Implementing and Evaluating Search Engines, MIT Press, 2010, ISBN 978-0262026512 (REQUIRED) 3. C.Zhai. Statistical Language Models for Information Retrieval, 2008, Morgan and Claypool, ISBN 978-1598295900 (RECOMMENDED) 4. R.Baeza-Yates, Ribeiro-Neto R. Modern Information Retrieval: The Concepts and Technology behind Search, Addison-Wesley Professional, 2011, 2nd edition, 2011, ISBN 978-0321416919 (RECOMMENDED) 5. B.Croft, D.Metzler, T.Strohman. Search Engines: Information Retrieval in Practice. Addison Wesley, 2009, 1st edition, ISBN 978-0136072249 (RECOMMENDED)
Assessments: TBA
Prerequisites: Good knowledge of C++/Java (CS370 or equivalent), substantial programming experience, basic probability and statistics.
000MSC: W304TuTh 1:00pm - 2:15pmAlexander Kotovmax 16
CS 573: Data Privacy and SecurityCredits: 4− Description− Sections
Content: This course will introduce students to the legal and ethical issues of data privacy and security and computational technologies for protecting privacy and security while allowing society to collect and share person-specific data for many worthy purposes. The main topics include privacy and anonymity models, data anonymization, privacy preserving data mining, access control, secure computations, privacy in social networks and privacy in clinical and public health research. The foundations are drawn from a number of sub-disciplines of Computer Science including: database systems, data mining, computer security, cryptography, and statistics.
Texts: No textbook required.
Assessments: TBA
Prerequisites: Familiarity with a programming language, such as Java or C++, is desired for programming assignments and/or final project. Some knowledge about database systems and statistics will be helpful.
000MSC: W306TuTh 4:00pm - 5:15pmLi Xiongmax 20
CS 580: Operating SystemsCredits: 4− Description− Sections
Content: The structure and organization of computer operating systems. Process, memory, and I/O management; device drivers, inter-machine communication, introduction to multiprocessor systems. An important portion of the course is a course long programming project that implements a simple operating system in stages. Each stage takes about three weeks, and is used as a basis for the next stage.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
000MSC: E408TuTh 2:30pm - 3:45pmKen Mandelbergmax 16
CS 584: Topics in Computer Science: Clinical InformaticsCredits: 4− Description− Sections
Content: This course focuses on clinical and translation informatics, and serves as a follow up to BMI500, which introduces basic biomedical informatics concepts. Specifically, we will review various electronic medical records systems and how clinical data is captured and stored. Emphasis in the first half of the course will be made on how various forms of patient data, either physician notes, radiology data, labs, etc, get translated, stored, and ultimately used to support clinical decision making. The second half of the course will focus on how, once electronically stored, this information can be used to support clinical research. A number of the practical challenges related to data security and HIPPA will also be discussed.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
000MSC: E408TuTh 11:30am - 12:45pmAlfredo Tirado-Ramosmax 20
CS 597R: Directed StudyCredits: 1 - 12− Description− Sections
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
CHEUMSC: -----Shun Yan Cheungmax 999
GRIGMichelangelo Grignimax 999
LUMSC: -----James Lumax 999
NAGYMSC: -----James Nagymax 999
TIRAMSC: -----Alfredo Tirado-Ramosmax 999
XIONMSC: -----Li Xiongmax 999
CS 598R: Rotation ProjectCredits: 1 - 4− Description− Sections
Content: Computer Science and Informatics PhD students are required to complete two rotation projects prior to their qualifying exams and dissertation research. Projects often involve interdisciplinary work, and can be co-supervised by a Math/CS faculty and an external faculty member or researcher (e.g., Schools of Medicine and Public Health, the CDC). Students are required to submit a project proposal and a final report.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
AGICMSC: -----Eugene Agichteinmax 999
BENZMichele Benzimax 999
GRIGMSC: -----Michelangelo Grignimax 999
GUTMDavid Gutmanmax 5
LUMSC: -----James Lumax 999
NAGYMSC: -----James Nagymax 999
SALTJoel Saltzmax 999
SUNDMSC: -----Vaidy Sunderammax 999
WANGFusheng Wangmax 999
XIONMSC: -----Li Xiongmax 999
CS 599R: Master's Thesis ResearchCredits: 1 - 12− Description− Sections
Content: TBA
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Assessments: TBA
Prerequisites: TBA
AGICMSC: -----Eugene Agichteinmax 999
GRIGMSC: -----Michelangelo Grignimax 999
LUMSC: -----James Lumax 999
NAGYJames Nagymax 999
QINZhaohui "Steve" Qinmax 999
SALTJoel Saltzmax 999
TAYLMSC: -----James Taylormax 999
XIONMSC: -----Li Xiongmax 999
CS 700R: Graduate SeminarCredits: 1− Description− Sections
Content: This is a required course for all students in the PhD program. It comprises seminars given by faculty, invited guests, and students.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
000MSC: W301F 3:00pm - 4:00pmLi Xiongmax 35
CS 797R: Directed StudyCredits: 1 - 12− Description− Sections
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
GRIGMSC: -----Michelangelo Grignimax 999
LUMSC: -----James Lumax 999
SMITJoan Smithmax 999
SUNDVaidy Sunderammax 999
TAYLJames Taylormax 999
CS 799R: Dissertation ResearchCredits: 1 - 12− Description− Sections
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
AGICMSC: -----Eugene Agichteinmax 999
LUMSC: -----James Lumax 999
MANDMSC: -----Ken Mandelbergmax 999
NAGYMSC: -----James Nagymax 999
SUNDVaidy Sunderammax 999
TAYLJames Taylormax 999
WANGFusheng Wangmax 999
XIONMSC: -----Li Xiongmax 999