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    Results for "pseudocode"

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 2)

      Skills you'll gain: Computational Thinking, Algorithms, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      216 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Computer Programming

      Skills you'll gain: Debugging, Development Environment, Javascript, Program Development, Computer Graphics, Computer Programming, User Interface (UI), Interactive Design, Human Computer Interaction, Data Management, Animations

      4.1
      Rating, 4.1 out of 5 stars
      ·
      914 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Computer Security

      Skills you'll gain: Linux, Linux Commands, Computer Systems, Command-Line Interface, Cybersecurity, Computer Architecture, Network Security, Vulnerability Assessments, Hardware Architecture, Application Security, Threat Detection, Authorization (Computing), Network Protocols, Virtual Private Networks (VPN), Operating Systems, Authentications, Network Monitoring, TCP/IP, Network Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Algorithmic Toolbox

      Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Software Testing, Computational Thinking, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      C

      Clemson University

      Design and Analysis of Algorithms

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Pseudocode, Computational Thinking, Computer Programming, Applied Mathematics, Design Strategies, Probability

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Pair Programming with a Large Language Model

      Skills you'll gain: LLM Application, Google Gemini, Test Case, Code Review, Large Language Modeling, Software Documentation, Prompt Engineering, Debugging

      Beginner · Project · Less Than 2 Hours

    • Status: Preview
      Preview
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Practical Python for AI Coding 1

      Skills you'll gain: NumPy, Python Programming, Artificial Intelligence, Programming Principles, Tensorflow, Data Structures, Development Environment, Keras (Neural Network Library), Computer Programming Tools, Object Oriented Programming (OOP), Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      86 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Pseudocode, Theoretical Computer Science, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

      Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      827 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 1)

      Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      383 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Abstraction, Problem Decomposition, and Functions

      Skills you'll gain: Computational Thinking, C (Programming Language), Data Structures, Programming Principles, Computer Programming, Data Store, Problem Management, Program Development, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Structures and Algorithm Analysis

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to pseudocode

    fundamentals of programming using flowchart and pseudocode
    1…678…12

    In summary, here are 10 of our most popular pseudocode courses

    • Algorithmic Thinking (Part 2): Rice University
    • Introduction to Computer Programming : University of London
    • Introduction to Computer Security: University of London
    • Algorithmic Toolbox: University of California San Diego
    • Design and Analysis of Algorithms: Clemson University
    • Pair Programming with a Large Language Model: DeepLearning.AI
    • Practical Python for AI Coding 1: Korea Advanced Institute of Science and Technology(KAIST)
    • Geometric Algorithms: EIT Digital
    • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
    • Algorithmic Thinking (Part 1): Rice University

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