Abstract
Overview: This course provides a survey of fundamental data structures and algorithms needed to implement
efficient, scalable programs. Upon successful completion of this course you will have mastered the material
needed to analyze a computing problem and to select the data structure that solves the problem with
predictable and appropriate use of computing time and memory resources.
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This course covers the following topics: arrays, sorting, stacks and queues, linked lists, recursion, binary trees,
hash tables, heaps, and graphs. A significant part of this course involves actually writing Python programs that
implement the above topics – in labs, for homework, and on exams. However, this course is not a Python
programming course, so students must have already mastered Python programming through prior coursework
or independent study.
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Prerequisites: COMP 1300C, and competence in Python programming, including the ability to define new
classes and methods, and to use inheritance.
Citation
Broder, Alan J. (2021, Spring), Syllabus, COMP 1320C Data Structures, Stern College for Women, Yeshiva University.
*This is constructed from limited available data and may be imprecise.