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Lecture |
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Data Structures A1 |
Enrollment Information (not real time - data refreshed nightly)
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Class #:
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14445 | |
Enrollment Capacity:
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25 |
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Section:
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A1 |
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Enrollment Total:
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25 |
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Credits:
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4.00 credits
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Seats Available:
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0 |
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Dates:
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01/31/2022 - 05/13/2022 |
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Status:
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CLOSED |
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Days, Time:
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M , 3:00 PM - 3:50 PM |
| Room: |
Bell 340 |
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North Campus |
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| Chained Courses |
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Registering in the above section will automatically place you in the following class(es):
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| Enrollment Requirements |
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Prerequisites: Pre-Requisite: CSE 116 and (CSE 191 or MTH 311) and (MTH 141 or MTH 131 or MTH 121).
SEAS or ENS 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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Regan |
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| On-line Resources |
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| Other Courses Taught By: Regan |
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