Brief Description:
In this program graduate
school oriented Lehman College Computer Science students earn credit
by working at the IBM Watson Research Laboratories. Students earn
3 credits per semester for 3-4 semesters. During the semester
(15 weeks) they spend
16 hours (2 full days) at IBM working under
the supervision of
an IBM mentor on a project. The IBM mentor coordinates the student's
project and progress with a Lehman faculty mentor. In his/her final
semester, the student prepares a summary of the project in a form
to be determined by the IBM and Lehman mentors. Students are paid by IBM
(at an appropriate rate) and are expected to take a full program (12-16
credits) during these semesters and to engage in no other employment.
During semester
breaks and summers,
students are offered full (or part) time employment at IBM. On recommendation
of an appropriate faculty committee, if all other requirements are fullfilled,
a student would receive departmental honors in computer science.
The program
enables Lehman students to combine both an academic
and a practical approach
to computer science in their degree program.
It trains them
in a high level work-learning environment. They acquire skills and
experience that will enable them to compete for jobs at the good bachelors
level computer science. In addition there are contacts and letters
to help them get acceptance and fellowships at good graduate programs.
Students have exposure to a real computing envirnoment with an excellent
credential for their resumes. A real benefit of the summer component of
the program is the opportunity to meet and interact with IBM's summer interns
who are among the very best graduate students in the US.
Currently there are
10 students enrolled in the program. Several are graduating. We expect
to have openings for 4-6 students in the fall '01. These students should
have at least 3 semesters left before graduation. They should have a GPA
of at least 3.0 and be able to write simple programs. Interested
students should speak to their instructors and ask for recommendations.