Objective: Help graduate students identify research areas they are interested in and faculty members they would like to work with. Accelerate students' involvement in research.
Format: There will be 16 lectures, all of
which are given before the Spring break. Each lecture will be given by a
faculty member and may include descriptions of the faculty member's research
interests, projects, groups, and any advice that would be useful for graduate
students.
Course policy:
A student may register for this course as a one credit pass/fail course.
Attendance will be taken at each lecture. In order to pass, students can
miss at most 3 lectures. If you have to miss more than 3 due to extreme
situations, you should obtain approval from one of the course coordinators
before missing the lecture.
Time & Place:
Coordinators: Cristina Nita-Rotaru and Ninghui Li
Jan 9 Monday | Patrick Eugster : Distributed Programming |
Jan 11 Wednesday | Cristina Nita-Rotaru : |
Jan 16 Monday | No lecture. Martin Luther King day. |
Jan 18 Wednesday | Bharat Bhargava : Network Security |
Jan 23 Monday | Ninghui Li: The TruSe Lab & Graduate Research in General (Prof. Ahmed Elmagarmid had to cancel for family reasons) |
Jan 25 Wednesday | Chris Clifton : New Challenges for Data Mining |
Jan 30 Monday | David Yau : |
Feb 1 Wednesday | Suresh Jagannathan : |
Feb 6 Monday | Dongyan Xu : |
Feb 8 Wednesday | |
Feb 13 Monday | Mikhail Atallah : |
Feb 15 Wednesday | Tony Hosking : |
Feb 20 Monday | Daniel Aliaga : |
Feb 22 Wednesday | Gopal Pandurangan : Network Algorithms and Analysis |
Feb 27 Monday |
Aditya Mathur
:
|
Mar 1 Wednesday | Walid Aref: Under-the-Hood Database Engine Research: In Support of Emerging Applications |