MREN 178 Data Structures and Algorithms Units: 4.00
This course introduces fundamental structures and algorithms for storing, managing, manipulating and analyzing data. Topics covered include structures, such as multidimensional arrays, linked lists, stacks, queues, deques, asymptotic notation, hash and scatter tables, trees and search trees, heaps and priority queues, graphs, and algorithms such as recursion, branch-and-bound methods, searching, sorting, and probabilistic algorithms. Microcontroller-based laboratory exercises will explore applications of data structures and algorithms, using examples drawn from mechatronics and robotics engineering.
(Lec: 3, Lab: 0.5, Tut: 0.5)
(Lec: 3, Lab: 0.5, Tut: 0.5)
Requirements: Prerequisites: APSC 142 or APSC 143 or MNTC 313
Corequisites:
Exclusions: ELEC 278 or CISC 235
Offering Term: W
CEAB Units:
Mathematics 12
Natural Sciences 0
Complementary Studies 0
Engineering Science 24
Engineering Design 12
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- CLOs coming soon; please refer to your course syllabus in the meantime.