Graduate classes, Spring 2012, Computer Science
| CS 558: Networking | Credits: 4 | − Description | − Sections |
Content: TBA Texts: TBA Assessments: TBA Prerequisites: TBA | | 000 | MSC: W302 | TuTh 11:30am - 12:45pm | Vaidy Sunderam | max 13 | | CS 572: Information Retrieval | Credits: 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. | | 000 | MSC: W304 | TuTh 1:00pm - 2:15pm | Alexander Kotov | max 16 | | CS 573: Data Privacy and Security | Credits: 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. | | 000 | MSC: W306 | TuTh 4:00pm - 5:15pm | Li Xiong | max 20 | | CS 580: Operating Systems | Credits: 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 | | 000 | MSC: E408 | TuTh 2:30pm - 3:45pm | Ken Mandelberg | max 16 | | CS 584: Topics in Computer Science: Clinical Informatics | Credits: 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 | | 000 | MSC: E408 | TuTh 11:30am - 12:45pm | Alfredo Tirado-Ramos | max 20 | | CS 597R: Directed Study | Credits: 1 - 12 | − Description | − Sections |
Content: TBA Texts: TBA Assessments: TBA Prerequisites: TBA | | CHEU | MSC: ----- | | Shun Yan Cheung | max 999 | | GRIG | | | Michelangelo Grigni | max 999 | | LU | MSC: ----- | | James Lu | max 999 | | NAGY | MSC: ----- | | James Nagy | max 999 | | TIRA | MSC: ----- | | Alfredo Tirado-Ramos | max 999 | | XION | MSC: ----- | | Li Xiong | max 999 | | CS 598R: Rotation Project | Credits: 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 | | AGIC | MSC: ----- | | Eugene Agichtein | max 999 | | BENZ | | | Michele Benzi | max 999 | | GRIG | MSC: ----- | | Michelangelo Grigni | max 999 | | GUTM | | | David Gutman | max 5 | | LU | MSC: ----- | | James Lu | max 999 | | NAGY | MSC: ----- | | James Nagy | max 999 | | SALT | | | Joel Saltz | max 999 | | SUND | MSC: ----- | | Vaidy Sunderam | max 999 | | WANG | | | Fusheng Wang | max 999 | | XION | MSC: ----- | | Li Xiong | max 999 | | CS 599R: Master's Thesis Research | Credits: 1 - 12 | − Description | − Sections |
Content: TBA Texts: TBA Assessments: TBA Prerequisites: TBA | | AGIC | MSC: ----- | | Eugene Agichtein | max 999 | | GRIG | MSC: ----- | | Michelangelo Grigni | max 999 | | LU | MSC: ----- | | James Lu | max 999 | | NAGY | | | James Nagy | max 999 | | QIN | | | Zhaohui "Steve" Qin | max 999 | | SALT | | | Joel Saltz | max 999 | | TAYL | MSC: ----- | | James Taylor | max 999 | | XION | MSC: ----- | | Li Xiong | max 999 | | CS 700R: Graduate Seminar | Credits: 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 | | 000 | MSC: W301 | F 3:00pm - 4:00pm | Li Xiong | max 35 | | CS 797R: Directed Study | Credits: 1 - 12 | − Description | − Sections |
Content: TBA Texts: TBA Assessments: TBA Prerequisites: TBA | | GRIG | MSC: ----- | | Michelangelo Grigni | max 999 | | LU | MSC: ----- | | James Lu | max 999 | | SMIT | | | Joan Smith | max 999 | | SUND | | | Vaidy Sunderam | max 999 | | TAYL | | | James Taylor | max 999 | | CS 799R: Dissertation Research | Credits: 1 - 12 | − Description | − Sections |
Content: TBA Texts: TBA Assessments: TBA Prerequisites: TBA | | AGIC | MSC: ----- | | Eugene Agichtein | max 999 | | LU | MSC: ----- | | James Lu | max 999 | | MAND | MSC: ----- | | Ken Mandelberg | max 999 | | NAGY | MSC: ----- | | James Nagy | max 999 | | SUND | | | Vaidy Sunderam | max 999 | | TAYL | | | James Taylor | max 999 | | WANG | | | Fusheng Wang | max 999 | | XION | MSC: ----- | | Li Xiong | max 999 |
|
