logo
Login

Object-Oriented Programming | Data Structures - Cornell University

Cornell University

Comprehensive computer science course covering program design, object-oriented programming, data structures, and more. Suitable for students with prior programming experience.

University CoursesJavaObject-Oriented ProgrammingProgramming

Introduction

CS 2110 is an intermediate-level programming course and an introduction to computer science. Topics include program design and development, debugging and testing, object-oriented programming, proofs of correctness, complexity analysis, recursion, commonly used data structures, graph algorithms, and abstract data types. Java is the principal programming language.

screenshot

Highlights

  • Covers a wide range of fundamental computer science topics
  • Emphasizes object-oriented programming and data structures
  • Uses Java as the primary programming language
  • Includes lectures, programming assignments, and exams

Recommendation

This course is recommended for students who have a basic understanding of programming and are looking to deepen their knowledge of computer science fundamentals. It is suitable for students who have completed a previous programming course, such as CS 1110 or CS 1112, with a grade of B- or better.

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

C++ Language Tutorial | Beginner to Advanced

38
Technical TutorialsC++Programming
Learn C++ programming from the ground up, including practical examples and the latest features. Ideal for beginners and experienced developers.

Learn Python Basics | Beginner-Friendly Programming Course

20
Technical TutorialsProgrammingPython
Dive into the world of programming with Python, a beginner-friendly language. Explore its readability, versatility, and robust community support.

Python Tutorial For Beginners | Programming, Coding

1
Video CoursesProgrammingPython
Learn Python fundamentals, installation, and setup for beginners. Explore the interactive prompt, create and run your first Python script. Ideal for new programmers.

CS50 Labs | Computer Science Fundamentals | Harvard University

1
University CoursesComputer ScienceProgramming
Explore the intellectual enterprises of computer science and the art of programming with CS50 Labs, Harvard University's renowned introduction to computer science for beginners and experienced learners alike.

Java Programming (CS 1) | Computer Science Fundamentals

1
University CoursesJavaObject-Oriented Programming
Learn the fundamentals of Java programming, including variables, expressions, control structures, arrays, objects, and file I/O. Suitable for students without prior programming experience.

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.

Matters Computational: Ideas, Algorithms, Source Code

9
Technical TutorialsAlgorithmProgramming
Comprehensive book covering computational algorithms, source code, and programming concepts. Recommended for programmers and computer scientists.

The Great Tree List Recursion Problem

9
Technical TutorialsAlgorithmCJava
Explore the intricacies of data structures, recursion, and programming with The Great Tree List Recursion Problem, a comprehensive guide to binary trees and circular doubly linked lists.

Compiler Design: Theory, Tools, and Examples, Java Edition

11
Technical TutorialsCompilerJava
Comprehensive guide to compiler design theory and tools, with practical Java examples. Covers lexical analysis, parsing, code generation, and optimization.