Data Structures and Analysis of Algorithms - CSC 223 at Brightpoint Community College


         
 
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CSC 223 - Data Structures and Analysis of Algorithms
Explores and contrasts data structures, algorithms for manipulating data structures, and their use and appropriateness in writing efficient real-world programming applications. Investigates implementations of different data structures for efficient searching, sorting, and other transformer operations. Third course in a three-course sequence (CSC 221, CSC 222, CSC 223).
Lecture 4 hours. Total 4 hours per week.
Prerequisite: CSC 222 or departmental consent. Corequisite: CSC 208 or equivalent.
4 credits

Schedule at Brightpoint Community College

Fall 2024 ➜

Class # Section Credits Day Time Start Location Mode
54988 CSC 223-MFH2 4
   W   
       
4:30 p.m.-6:20 p.m.
0:00 a.m.-0:00 a.m.
 2024-08-26 Midlothian HY
Flex (F2F + Zoom + Asynchronous) in Midlothian + Asynchronous Hybrid - On-campus classes in Midlothian where students have the option to attend in person, through Zoom, and/or asynchronously AND where they must complete required asynchronous online activities by published weekly deadlines. The synchronous classes will be abbreviated.

Spring 2025 ➜

Class # Section Credits Day Time Start Location Mode
23867 CSC 223-MFH1 4
   W   
       
4:30 p.m.-6:20 p.m.
0:00 a.m.-0:00 a.m.
 2025-01-13 Midlothian HY
Flex (F2F + Zoom + Asynchronous) in Midlothian + Asynchronous Hybrid - On-campus classes in Midlothian where students have the option to attend in person, through Zoom, and/or asynchronously AND where they must complete required asynchronous online activities by published weekly deadlines. The synchronous classes will be abbreviated.

Summer 2025 ➜

Class # Section Credits Day Time Start Location Mode
33025 CSC 223-A01 4
       
0:00 a.m.-0:00 a.m.
 2025-05-12 Virtual Campus (ELI, Internet) ER
This asynchronous online class has no scheduled Zoom or on-campus meetings. Reliable internet access is required to complete course activities and assignments. Students will access course material using Canvas, and it will be made available on or before the first day of the class session. Regular weekly assignments with established due dates are provided in Canvas.
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