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Data Structures B |
Enrollment Information (not real time - data refreshed nightly)
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Class #:
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<<< >>> | |
Enrollment Capacity:
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170 |
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Section:
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B |
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Enrollment Total:
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138 |
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Credits:
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4.00 credits
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Seats Available:
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32 |
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Dates:
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08/31/2020 - 12/11/2020 |
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Status:
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OPEN |
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Days, Time:
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M W F , 12:40 PM - 1:30 PM |
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Remote |
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| Location: |
Remote |
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| Chained Courses |
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You must register in one of the class(es) below to get the above section:
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| Enrollment Requirements |
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Prerequisites: Pre-Requisite: CSE 116 and (CSE 191 or MTH 311).
SEAS approved or intended majors, CS minors, Bioinformatics, Computational Physics, Math majors, Data Intensive Computing Certificate. |
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| Course Description |
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| Provides a rigorous analysis of the design, implementation, and properties of advanced data structures. Topics include time-space analysis and tradeoffs in arrays, vectors, lists, stacks, queues, and heaps; tree and graph algorithms and traversals, hashing, sorting, and data structures on secondary storage. Surveys library implementations of basic data structures in a high-level language. Advanced data structure implementations are studied in detail. Illustrates the importance of choosing appropriate data structures when solving a problem by programming projects in a high-level language. |
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| Instructor(s) |
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Hughes, A |
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| On-line Resources |
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| Other Courses Taught By: Hughes, A |
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