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ELEC 278  Fundamentals Of Information Structures  Units: 4.00  
Software organization with subroutines and parameter passing. Data structures including arrays, linked lists, stacks, queues, deques, hash and scatter tables, trees and search trees, heaps and priority queues, and graphs. Recursion. Algorithm analysis and asymptotic notation. Sorting algorithms. Advanced programming in the C language.
(Lec: 3, Lab: 0.5, Tut: 0.5)
Requirements: Prerequisites: APSC 142 or APSC 143 or MNTC 313 Corequisites: Exclusions: CISC 235, MREN 178  
Offering Term: F  
CEAB Units:    
Mathematics 12  
Natural Sciences 0  
Complementary Studies 0  
Engineering Science 24  
Engineering Design 12  
Offering Faculty: Smith Engineering  

Course Learning Outcomes:

  1. Identify and describe the standard data structures and algorithms.
  2. Describe fundamental techniques for comparing alternative data structures and algorithms.
  3. Implement fundamental data structures using the C programming language.
  4. Select the appropriate data structure or algorithm to efficiently solve a given computing problem.
  5. Analyze a given computing problem and solve it using suitable data structures and algorithms.
  6. Examine solutions using critical thinking to increase efficiency and robustness of a given computing problem solution.