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  4. Data and Algorithms

Data and Algorithms

The course will teach the algorithms, heuristics, and code development skills in solving numerous sorting, graph theory, string processing, and job scheduling problems. It provides both a broad coverage of basic algorithms and data structures and in-depth coverage on selected topics. Moderate to heavy programming in C or Python is expected. Through this study the students will improve their problem-solving skills via various algorithm development examples and exercises.

Provider Information

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Contact Information

Heather Markle
Maryland Applied Graduate Engineering at the University of Maryland
2105 J.M. Patterson
College Park, MD 20742

Course Overview

Overall Proficiency Level
3 - Advanced
Course Prerequisites

N/A

Training Purpose
Functional Development
Skill Development
Specific Audience
All
Delivery Method
Classroom
Online, Instructor-Led
Online, Self-Paced
Course Location

4356 Stadium Drive
College Park, MD 20742

  • Classroom
  • Online, Instructor-Led
  • Online, Self-Paced

Learning Objectives

Implement algorithms and data structures for solving different types of problems. Evaluate and compare algorithms for computational complexity. Analyze algorithm implementations for correctness.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Competency Areas

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov(link sends email). Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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