Data Structures and Algorithms | COP 3530 | Prof Sahni, UFL

Sahni, UFL

Comprehensive course on data structures and algorithms, taught by an experienced professor at the University of Florida. Covers fundamental topics, emphasizes problem-solving, and prepares students for technical interviews.

University CoursesAlgorithmData Structures

Introduction

COP 3530 is a course that focuses on data structures and algorithms, covering topics such as arrays, linked lists, stacks, queues, trees, and graphs. The course is taught by Professor Sahni at the University of Florida.

Highlights

  • Comprehensive coverage of fundamental data structures and algorithms
  • Emphasis on problem-solving and algorithm analysis
  • Hands-on programming assignments to reinforce concepts
  • Taught by an experienced professor at a top-ranked university

Recommendation

This course is highly recommended for students interested in computer science, software engineering, or any field that requires a strong understanding of data structures and algorithms. It provides a solid foundation for more advanced courses and prepares students for technical interviews and coding challenges.

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

A Field Guide To Genetic Programming 30
Technical TutorialsAlgorithm
Comprehensive guide to genetic programming, covering evolutionary algorithms, computational biology, and advanced programming techniques. Valuable resource for computer scientists, biologists, and researchers.
Algorithms | Fundamental Concepts & Techniques 19
Technical TutorialsAlgorithmData Structures
Comprehensive guide to the fundamental concepts and techniques in the field of algorithms, covering discrete mathematics, data structures, and algorithm analysis.
Algorithms and Data Structures - With Applications to Graphics and Geometry 27
Technical TutorialsAlgorithmData Structures
Explore algorithms, data structures, and their practical applications in graphics and geometry. Suitable for beginners and experienced learners.
Data Structures | Algorithms | Efficient Software Systems 16
Technical TutorialsAlgorithmData Structures
Comprehensive guide to data structures and algorithms, covering arrays, linked lists, stacks, queues, trees, and more. Ideal for students, developers, and professionals seeking to build efficient software systems.
Data Structures (Into Java) 9
Technical TutorialsAlgorithmData StructuresJava
Comprehensive guide to understanding and implementing data structures using Java, covering arrays, linked lists, stacks, queues, trees, and more.
Data Structures and Algorithm Analysis in C++ 7
Technical TutorialsAlgorithmC++
Comprehensive guide to data structures, algorithms, and problem-solving using C++. Suitable for students and professionals interested in algorithmic problem-solving.
Elementary Algorithms | Fundamental Algorithms and Data Structures 27
Technical TutorialsAlgorithmData Structures
Comprehensive introduction to fundamental algorithms and data structures, including sorting, searching, and algorithm design. Suitable for beginners and professionals.
Essential Algorithms | Comprehensive Guide to Algorithms and Data Structures 25
Technical TutorialsAlgorithmData Structures
Enhance your programming and problem-solving skills with Essential Algorithms, a comprehensive guide covering essential concepts for beginners and advanced programmers.
Learning Algorithm | Algorithms, Data Structures, Problem-Solving 26
Technical TutorialsAlgorithmData Structures
Explore a wide range of algorithms, from fundamental data structures to advanced techniques like dynamic programming and graph algorithms. Gain practical knowledge for software engineering and problem-solving.