Data Structures for Data Science The design and implementation of data structures. Comparative analysis of algorithms and their applications to solving data science problems. Topics include recursion, lists, stacks, queues and priority queues, trees, graphs, dictionaries, decision trees, disjoint set, tensors, and data frames. Credit Hours: 4 Prerequisites: CSCI 1302 Level: Undergraduate Course Information File: CIS_CSCI_2725.pdf (199.02 KB)
