Description

An integrated approach to the study of data structures, algorithm analysis, and discrete mathematics. Topics include induction and recursion, time and space complexity, and big-O notation, propositional logic, proof techniques, sorting, mathematical properties of data structures, including lists.

Lecture Hours: 3.00 Lab Hours: 2.00Total Hours: 4.00

Semesters

Spring 2021 Semester
Course Title Instructor Campus Section Syllabus Learning Management System
Data Struct & Discrete Math I Anja Remshagen, Ph.D. Carrollton 01 No syllabus available Course Section External Resource