CSCI 220 - Data Structures I

The following are the Student Learning Outcomes (SLOs) and Course Measurable Objectives (CMOs) for CSCI 220. A Student Learning Outcome is a measurable outcome statement about what a student will think, know, or be able to do as a result of an educational experience. Course Measurable Objectives focus more on course content, and can be considered to be smaller pieces that build up to the SLOs.

Student Learning Outcomes (SLOs)

1. Students will be able to analyze problems and select the appropriate data structure.
2. Students will be able to estimate running time given an algorithm.
3. Students will be able to implement and use linear data structures including sets, stacks, queues, and lists.
4. Students will be able to implement and use trees including binary tree, binary search trees, and heaps.

Course Measurable Objectives (CMOs)

1. Analyze problems and select the appropriate data structure.
2. Design the most efficient data structure for solving a problem.
3. Implement the data structure through effective C++/Java code.
4. Utilize effective search, insertion and deletion algorithms.
5. Demonstrate effective debugging techniques.
6. Write and organize documentation for data structures.
7. Estimate running time for the algorithm studied in class or new algorithms.