Yesterday President Obama held a Google+ hangout with a group of bloggers. Limor Fried, the CEO of robotics firm Adafruit Industries asked the President

"When I attended high school, I had to take a foreign language requirement. Can we make it a national effort to also add a computer programming language requirement?

The President, responding very positively, said "I think it makes sense, I really do" and talked about a conversation he had with Facebook founder Mark Zuckerberg to explain his thinking.

"Look at Mark Zuckerberg. I was sitting next to him at dinner a couple of years ago, and he said he taught himself programming primarily because he was interested in games. If we set programs in high schools that engage kids because they get it, they won’t be just sitting there slouching in back of rooms while someone is lecturing. Given how pervasive computers and the Internet is now, how integral it is in our economy, and how fascinated kids are with it, I want to make sure they actually know how to produce stuff and not simply consume stuff."

The NASA Goddard Space Flight Center Global Inventory Modeling and Mapping Studies Group in Greenbelt, MD is looking for a smart, eager and motivated undergraduate student to intern and support web-development for a number of our earth science applications projects. This will be an all year around paid internship: half time during the school year and full-time during the summer.

Posting:

NASA’s Goddard Space Flight Center (GSFC) Global Inventory Modeling and Mapping Studies group provides scientific Earth systems research through the use of satellite remote sensing for environmental studies in ecological dynamics associated with climate variability. Our research has applications in global agricultural monitoring, food security, and disease surveillance.

The NASA/GSFC GIMMS group is offering a paid internship position to a Computer Science student to assist in developing a website and web mapping applications to support the surveillance and risk analysis of vector borne diseases using satellite imagery.

The successful candidate will also have opportunities to learn and assist in developing scientific computing applications and computational methods for remote sensing and geographic information systems.

Requirements

US citizen, permanent resident, or foreign national from non-designated countries

Experience and/or interested in:

• Web development using HTML, CSS, and Javascript
• Programming client-side web mapping applications
• Software development on Linux
• Programming in C

Apply

Submit cover letter and resume to Ed Pak at edwin.w.pak@nasa.gov

UMBC CSEE Colloquium

Analytics for Cancer Survival Time

Dr. Shujia Zhou and Ran Qi
CSEE Department, University of Maryland, Baltimore County

1:00 pm Friday, 15 February 2013, ITE 227, UMBC

With advent of new medical technologies, more and more prognostic factors are discovered and used in predicting cancer survival time. Consequently, the number of cancer patient types increase significantly. However, there are limited therapies available for cancer patients. Therefore, there is an urgent need to develop accurate algorithms in grouping cancer patients so that a doctor can choose the optimal therapy for a cancer patient. In this talk we will introduce current grouping algorithms, discuss new approaches in improving their efficiencies, and present a prototype of prognostic system for cancer patients.

Dr. Shujia Zhou is a research associate professor of Computer Science and Electrical Engineering at UMBC. He received a Ph.D. from Washington University at St. Louis in 1993. He held a Director’s-funded Postdoctoral Fellowship at Los Alamos National Laboratory (LANL) and became a LANL technical staff member in 1996. At LANL, his researches in large-scale molecular dynamics simulations were published in the Journal of Science and reported in the journals of both Science and Nature. In 2000, he joined Northrop Grumman Corporation and worked on NASA Computation Technology Projects. He is a pioneer in accelerating climate and weather applications with multi-core processors such as,IBM’s Cell B.E. processor. His current research interests are big data analytics, in particular in finance and health.

Ran Qi received her M.S. degree in Computer Science from the Lamar University in 2009 and started her Ph.D program in Computer Science at the University of Maryland, Baltimore County in 2010. In 2011, she worked on train monitoring system development at Norfolk Southern for 4 months as a co-op intern. In January 2012, she worked on personalized medicine in IBM Toronto Lab for 3 weeks. Her current Ph.D research focus is data mining in health analytics and personal medicine including cancer survival analysis and developing a cancer prognostic system.

Reinventing the Classroom

Professor Harry Lewis

Gordon McKay Professor of Computer Science
Harvard University

12:00-2:00 ITE 456, UMBC

TALK AND LUNCH: 12:00-1:00. Lunch courtesy of Dr. Warren DeVries, Dean of the College of Engineering and Information Technology. RSVP on my.umbc.edu by Monday, February 25 to reserve a spot. Email requests from outside UMBC to Sorry, you need javascript to view this email address.

DISCUSSION: 1:00-2:00. The community is invited to stay after the talk for an open discussion and conversation with Professor Lewis and your UMBC colleagues about designing new classroom spaces for active learning and the flipped classroom approach.

For decades my lectures kept getting better, my enrollments kept going up, and the number of warm bodies in the lecture hall kept going down. So I decided to try something entirely different, a "flipped classroom." Students watched lectures over the Internet at night in their rooms, and spent class time solving problems under supervision in small groups. The subject matter was discrete mathematics, which is well suited to this pedagogical style, but the class was so successful that it is being adapted for use in other Harvard courses. I will report on some of the conceptual and practical problems I encountered, including the creation of a new teaching space, which had to be cheap to construct and adaptable in use since the experiment might have failed.

Harry Lewis is Gordon McKay Professor of Computer Science at Harvard, where he has taught since 1974. He is uncertain whether he should be proud of his role in launching the careers of Bill Gates and Mark Zuckerberg, both of whom dropped out of Harvard shortly after taking his course. From 1995-2003 Lewis served as Dean of Harvard College. In this capacity he oversaw the undergraduate experience, including residential life, career services, public service, academic and personal advising, athletic policy, and intercultural and race relations. He is a long time member of the College’s Admissions Committee.

For more information, see his article Reinventing the Classroom in the Fall 2013 issue of Harvard Magazine.

The Spring 2013 UMBC CSEE Newsletter is available and features articles on the new UMBC Center for Cybersecurity, a project to create a new student laptop lab for interactive and team learning, new faculty profiles, the Cyber Scholars program, a new course on applied networks security, and more.

See other issues of the CSEE Newsletter in the UMBC CSEE newsletter archive.

UMBC alumnus Professor Eric Eaton (BS '03, PhD '09) has positions for undergraduate and graduate summer research internships in Artificial Intelligence and Machine Learning at Bryn Mawr College in suburban Philadelphia. Apply by March 1, 2013 for full consideration.

Spend ten weeks of your summer working on exciting projects in artificial intelligence and machine learning at Bryn Mawr College! We have openings for several undergraduate or graduate research assistants to work on two grant-sponsored research projects this summer. Student participants will join a research team with other students, Prof. Eric Eaton, and one postdoctoral researcher to carry out a detailed program of research toward scholarly publications. Students will present the results of their research during the final week of the program at Bryn Mawr College, and (if appropriate) at their home institutions and/or other academic venues, such as research conferences.

All students who are beginning their junior or senior undergraduate year in Fall 2013 or who will graduate during the Spring 2013 semester, and all graduate students are eligible to apply. To be considered, you should have a background in either computer science, mathematics, physics, or statistics and have strong grades in your major. Although it is not required, it would be beneficial if you have taken and done well in at least one course related to artificial intelligence, machine learning, robotics, statistics, or topology.

On-campus housing and meals are available for student participants, along with a variety of professional development workshops and summer activities. Application instructions and further details are available online.

UMBC alumnus Professor Eric Eaton (BS '03, PhD '09) has positions for undergraduate and graduate summer research internships in Artificial Intelligence and Machine Learning at Bryn Mawr College in suburban Philadelphia. Apply by March 1, 2013 for full consideration.

Spend ten weeks of your summer working on exciting projects in artificial intelligence and machine learning at Bryn Mawr College! We have openings for several undergraduate or graduate research assistants to work on two grant-sponsored research projects this summer. Student participants will join a research team with other students, Prof. Eric Eaton, and one postdoctoral researcher to carry out a detailed program of research toward scholarly publications. Students will present the results of their research during the final week of the program at Bryn Mawr College, and (if appropriate) at their home institutions and/or other academic venues, such as research conferences.

All students who are beginning their junior or senior undergraduate year in Fall 2013 or who will graduate during the Spring 2013 semester, and all graduate students are eligible to apply. To be considered, you should have a background in either computer science, mathematics, physics, or statistics and have strong grades in your major. Although it is not required, it would be beneficial if you have taken and done well in at least one course related to artificial intelligence, machine learning, robotics, statistics, or topology.

On-campus housing and meals are available for student participants, along with a variety of professional development workshops and summer activities. Application instructions and further details are available online.

UMBC alumnus Professor Eric Eaton (BS '03, PhD '09) has positions for undergraduate and graduate summer research internships in Artificial Intelligence and Machine Learning at Bryn Mawr College in suburban Philadelphia. Apply by March 1, 2013 for full consideration.

Spend ten weeks of your summer working on exciting projects in artificial intelligence and machine learning at Bryn Mawr College! We have openings for several undergraduate or graduate research assistants to work on two grant-sponsored research projects this summer. Student participants will join a research team with other students, Prof. Eric Eaton, and one postdoctoral researcher to carry out a detailed program of research toward scholarly publications. Students will present the results of their research during the final week of the program at Bryn Mawr College, and (if appropriate) at their home institutions and/or other academic venues, such as research conferences.

All students who are beginning their junior or senior undergraduate year in Fall 2013 or who will graduate during the Spring 2013 semester, and all graduate students are eligible to apply. To be considered, you should have a background in either computer science, mathematics, physics, or statistics and have strong grades in your major. Although it is not required, it would be beneficial if you have taken and done well in at least one course related to artificial intelligence, machine learning, robotics, statistics, or topology.

On-campus housing and meals are available for student participants, along with a variety of professional development workshops and summer activities. Application instructions and further details are available online.

UMBC alumnus Professor Eric Eaton (BS '03, PhD '09) has positions for undergraduate and graduate summer research internships in Artificial Intelligence and Machine Learning at Bryn Mawr College in suburban Philadelphia. Apply by March 1, 2013 for full consideration.

Spend ten weeks of your summer working on exciting projects in artificial intelligence and machine learning at Bryn Mawr College! We have openings for several undergraduate or graduate research assistants to work on two grant-sponsored research projects this summer. Student participants will join a research team with other students, Prof. Eric Eaton, and one postdoctoral researcher to carry out a detailed program of research toward scholarly publications. Students will present the results of their research during the final week of the program at Bryn Mawr College, and (if appropriate) at their home institutions and/or other academic venues, such as research conferences.

All students who are beginning their junior or senior undergraduate year in Fall 2013 or who will graduate during the Spring 2013 semester, and all graduate students are eligible to apply. To be considered, you should have a background in either computer science, mathematics, physics, or statistics and have strong grades in your major. Although it is not required, it would be beneficial if you have taken and done well in at least one course related to artificial intelligence, machine learning, robotics, statistics, or topology.

On-campus housing and meals are available for student participants, along with a variety of professional development workshops and summer activities. Application instructions and further details are available online.

The White House Office of Science and Technology Policy (OSTP) is currently accepting applications for its Summer 2013 Student Volunteer Program. Serving as an OSTP Student Volunteer provides a unique opportunity to work closely with senior White House officials and science and technology policy analysts in OSTP's topic-based divisions (Division internship), or on OSTP's legal team (Legal internship).

The application deadline is 11:59pm Friday, February 22nd. Students who are U.S. citizens and who will be actively enrolled as a graduate or undergraduate student during the Fall 2013 semester are welcome to apply.

The mission of the Office of Science and Technology Policy is threefold: first, to provide the President and his senior staff with accurate, relevant, and timely scientific and technical advice on all matters of consequence; second, to ensure that the policies of the Executive Branch are informed by sound science; and third, to ensure that the scientific and technical work of the Executive Branch is properly coordinated so as to provide the greatest benefit to society.