Posts tagged ‘undergraduate’
The below note was posted by Jeff Forbes to the SIGCSE Members list. What an interesting idea — funding to change a whole department!
NSF has posted a new solicitation for proposals, IUSE/Professional Formation of Engineers: Revolutionizing Engineering Departments (RED).
RED focuses on efforts to effect significant, systemic departmental change that impacts undergraduate student success in their formation as computer scientists or engineers. This program is particularly interested in efforts that address the middle two years of the four year undergraduate experience, during which students receive the bulk of their formal technical preparation. RED proposals need to engage the entire department, and the effort must be led by the chair/head of the department.
See http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505105 for more information.
Note: “Engineering departments” in the solicitation refers to both engineering and computer science departments, regardless of whether those departments are in a school of Engineering.
Letters of Intent are due October 28, 2014.
At our ECEP meeting after the NCWIT summit earlier this summer, Cheryl Kiras presented some data on community college enrollment that was really eye-opening for me.
This is from a fact sheet American Association of Community Colleges (available here). This is describing the percentage of all undergraduates in a group that are enrolled in community colleges. 56% of all Hispanic undergraduates were enrolled in community colleges in Fall 2012. 48% of all Black students, and 59% of all Native American students. Wow — that really supports the argument that if we want to broadening participation in University level computing, we need to improve the transfer and recruitment paths from Community Colleges into Universities. We can make it better at the University (and we should), but that’s only reaching half the students.
2nd Annual ACM NDC Study
Of Non-Doctoral Granting Departments in Computing
Please contact ACM Education Manager Yan Timanovsky (firstname.lastname@example.org) ASAP! Deadline is March 16 (extensions possible upon request).
• As an annual survey, NDC produces timely data on enrollment, degree production, student body composition, and faculty salaries/demographics that can benchmark your institution/program(s) and invite useful conversations with your faculty and administration.
• Those who qualify for and complete NDC in its entirety will be entered in a drawing to receive one of (3) unrestricted grants of $2,500 toward your department’s discretionary fund.
What would you accept as evidence in support of this claim? I don’t see it where I’m at, but I’m willing to believe that my experience is biased and limited. How could we test this claim?
The president of the Association of American Universities said on Monday that public research institutions were once again moving forward, thanks to a renewed focus on undergraduate education and a willingness to “be extremely aggressive” in taking advantage of new financing opportunities.
Hunter R. Rawlings III said that, for the first time in his career, senior faculty members were spending time and effort on teaching. “Our main job at universities is educating students,” he said during a panel discussion here at this week’s annual meeting of the Association of Public and Land-Grant Universities. “We forgot about that for a while. But now it has hit us with full force because tuition increases have caused the public to be angry, or skeptical at least, about the quality and the value proposition that they’re getting.”
It’s great to hold this woman up as a role model, but isn’t it a shame that she is so unusual. Only girl in AP CS? One of only five women in CS at Iowa State?
Cassidy Williams was the only girl in her AP computer science class at Downers Grove South High School.
Now, she is one of only five women majoring in computer science, along with 57 men, in the 2014 graduating class at Iowa State University.
It’s a trend the 21-year-old Downers Grove native hopes to help change for future girls studying computer science.
“If we don’t have women in computer science, we’re only seeing half the picture,” Cassidy said. “We need to have women in the computing workforce to bring their diverse perspectives to a development team, thus creating the best products.”
The first ACM study of non-doctoral computing (NDC) departments has just released its report (to contrast with the Taulbee Survey which is focused on doctoral-granting department). Below is the coverage in the Huffington Post.
The study shows that enrollment in undergraduate computer science (CS) programs within these departments increased 11 percent between 2011-12 and 2012-13. Computer science bachelor’s degree production in these departments is expected to increase nearly 14 percent during this period. Other areas of computing, such as software engineering and information technology, also are experiencing growth according to the report. Only in the information systems area is there no real evidence of growth. Master’s degree production in the NDC departments also generally is increasing, adding to the skilled employment base in these key technology areas.
Once upon a time, all computer scientists understood how floating point numbers were represented in binary. Numerical methods was an important part of every computing curriculum. I know few undergraduate programs that require numerical methods today.
Results like the below make me think about what else we teach that will one day become passé, irrelevant, or automatized. The second result is particularly striking. If descriptions from programming competitions can lead to automatic program generation, what does that imply about what we’re testing in programming competitions — and why?
The researchers’ recent papers demonstrate both approaches. In work presented in June at the annual Conference of the North American Chapter of the Association for Computational Linguistics, Barzilay and graduate student Nate Kushman used examples harvested from the Web to train a computer system to convert natural-language descriptions into so-called “regular expressions”: combinations of symbols that enable file searches that are far more flexible than the standard search functions available in desktop software.
In a paper being presented at the Association for Computational Linguistics’ annual conference in August, Barzilay and another of her graduate students, Tao Lei, team up with professor of electrical engineering and computer science Martin Rinard and his graduate student Fan Long to describe a system that automatically learned how to handle data stored in different file formats, based on specifications prepared for a popular programming competition.