Introduction to abstract data types and basics of algorithms. Linked lists, stacks, queues, hash tables, trees, heaps, and graphs are covered. Students taught how to derive big-Oh analysis of simple algorithms. All assignments are in Python. Note that CSE 101P assumes Python experience, students trained in a different language should self-study Python to prepare for CSE 101P. See CSE 20 Testout Exam for resources and further information. Students cannot receive credit for this course and CSE 101. Students intending to complete the Computer Science B.S. should enroll in course CSE 101.
1 term
Other grades
University of California, Santa Cruz
CSE 101P at UCSC: average GPA 3.40 across 16 students. Grade distribution by term. Introduction to abstract data types and basics of algorithms. Linked lists…
Average GPA: 3.40
Grade distribution records: 16 students across 1 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 4 | 25.0% |
| A | 4 | 25.0% |
| B+ | 3 | 18.8% |
| B | 1 | 6.3% |
| B- | 1 | 6.3% |
| F | 1 | 6.3% |
| NP | 2 | 12.5% |
Based on 16 student grade records across 1 term and 1 professor.
The course page is taking longer to load. This summary is still available.
We could not load the full course details. This summary is still available.
Still loading. This can take a moment on a slow connection.
Loading My Class Grades