Course Description

A systematic treatment of advanced data structures, algorithm analysis, and abstract data types in the Python programming language, intended for computer science majors as well as non-majors and professionals seeking advanced Python experience. Coding topics include large program software engineering design, multi-dimensional arrays, string processing, primitives, compound types, and allocation of instance and static data. Data structure concept topics include dynamic memory, inheritance, polymorphism, hierarchies, recursion, linked-lists, stacks, queues, trees, hash tables, and graphs. Algorithm concept topics include searching, big-O time complexity, analysis of all major sorting techniques, top down splaying, AVL tree balancing, shortest path algorithms, minimum spanning trees, and maximum flow graphs. *** . *** . FOOTNOTE: This fully online asynchronous class has online activities with weekly requirements and due dates outlined by the course instructor. After registering, find out how to log in to the course site. https://foothill.edu/onlinelearning/students/canvas-login-instructions-students.html

Prerequisites

• C S 3B
• Demonstrated proficiency in English by placement via multiple measures OR through an equivalent placement process OR completion of ESLL 125 & ESLL 249
• C SF003B

Course Reviews

Reviews coming soon.