Graduate classes, Spring 2017, Computer Science

CS 526: AlgorithmsCredits: 3− Description− Sections
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000MSC: W306MW 10:00am - 11:15amMichelangelo Grignimax 16
CS 534: Machine LearningCredits: 3− Description− Sections
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000MSC: W304TuTh 11:30am - 12:45pmJoyce Homax 16
CS 554: Database SystemsCredits: 3− Description− Sections
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000MSC: W303TuTh 10:00am - 11:15amShun Yan Cheungmax 25
CS 555: Parallel ProcessingCredits: 3− Description− Sections
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000MSC: E408MW 2:30pm - 3:45pmVaidy Sunderammax 16
CS 571: Natural Language ProcessingCredits: 3− Description− Sections
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001MSC: W302MW 4:00pm - 5:15pmJinho Choimax 25
CS 580: Operating SystemsCredits: 3− 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.
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000MSC: E408TuTh 2:30pm - 3:45pmKen Mandelbergmax 8
CS 584: Topics in Computer Science: Advanced Information Retrieval: Intelligent AssistantsCredits: 3− Description− Sections
Content: Applications such as the Apple's Siri, Google Now, and Amazon's Alexa rely on decades of research in Information Retrieval and Natural Language processing, and more broadly AI and Human-Computer Interaction. This course will focus on both classical works in this area and the current state of the art. The course will be based largely on research papers and focused around a group project on one of the current Question Answering challenges.
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00PMSC: E408TuTh 1:00pm - 2:15pmEugene Agichtein
CS 584: Topics in Computer Science: Deep LearningCredits: 3− Description− Sections
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01PMSC: E408MW 11:30am - 12:45pmShamim Nematimax 15
CS 584: Topics in Computer Science: Professional DevelopmentCredits: 1− Description− Sections
Content: This course is provided to assist graduate students better prepare for their transition from the university into a first-destination career by enhancing the professional development and leadership skills necessary to be successful. The course will cover topics such as: career exploration, resume/CV creation, cover letters, interviewing, negotiation, networking and general job search strategies, as well ask keys to success in a new professional role.
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Assessments: Understand how personal and professional skills are critical to a successful transition into a professional setting. Become familiar with career development theories and models that will aid students in understanding the career development process. Identify and evaluate interests, skills, values, and lifestyle preferences and relate them to career planning. Learn about resources and information that can be utilized in career decision making and goal setting when exploring career options. Analyze job market trends and future career pathways. Develop decision-making skills and plan for reach self-determined goals. Learn basic job search skills and strategies. Begin to take an active role in the career planning process. Increase their awareness of employer needs and expectations. Be better prepared for the transition into a career.
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02PMSC: W301F 2:00pm - 2:50pmShun Yan Cheung
CS 597R: Directed StudyCredits: 1 - 9− Description− Sections
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CS 598R: Rotation ProjectCredits: 3− Description− Sections
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CS 599R: ResearchCredits: 1 - 9− Description− Sections
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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.
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000MSC: W301F 3:00pm - 3:50pmEugene Agichteinmax 30
CS 797R: Directed StudyCredits: 1 - 9− Description− Sections
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CS 799R: Dissertation ResearchCredits: 1 - 9− Description− Sections
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