Computer Science 101: Data Abstraction will be offered in the fall semester with Gregory Kapfhammer. Lectures will be held on Monday, Wednesday, and Friday at 9:00 am with a weekly lab session on Thursday at 2:30 pm.
A continuation of CMPSC 100 with an emphasis on implementing, using, and evaluating the computational structures needed to efficiently store and retrieve digital data. Participating in hands-on activities that often require teamwork, students create data structures and algorithms whose correctness and performance they study through proofs and experimentation. Students continue to refine their ability to organize and document a program’s source code so that it effectively communicates with the intended users and maintainers. During a weekly laboratory session, students use state-of-the-art technology to complete projects, reporting on their results through both written documents and oral presentations.
Prerequisite: CMPSC 100 or permission of the instructor.
Distribution Requirements: QR, SP.