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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf StudyVideo and Text Based

    Course Overview

    The Computer Science: Algorithms, Theory, and Machines Certification Course is a 100% online course that explores the nuances and concepts of computation. The intermediate-level course will deal with classic algorithms, classic theoretical models, and modern applications of computation. The course can be easily accessed on the Coursera online learning platform. 

    The Computer Science: Algorithms, Theory, and Machines Training will be provided by the Computer Science faculty of Princeton University. The Computer Science: Algorithms, Theory, and Machines Certification Course by Coursera and Princeton University will be available for free and there will be no certificates awarded to candidates.

    The Highlights

    • Free course
    • Flexible deadlines
    • 100% online
    • Video lectures
    • Practice exercises
    • Academic readings
    • Graded assignments 
    • Peer feedback
    • English medium
    • Financial aid
    • Subtitles in English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish.

    Programme Offerings

    • free course
    • Flexible Deadlines
    • 100% Online
    • English medium
    • English Subtitles
    • financial aid
    • video lectures
    • Practice Exercises
    • Academic Readings
    • Graded Assignments
    • Multiple-Choice Exercises
    • In-Video Quizzes
    • peer feedback.

    Courses and Certificate Fees

    Certificate Availability
    no

    What you will learn

    Computer skillsProgramming skillsKnowledge of Algorithms

    After completing the Computer Science: Algorithms, Theory, and Machines Certification Classes, you will learn about the following topics:

    • Classic algorithms
    • Fundamental stack and queue abstractions
    • Linked structures 
    • Binary search trees,
    • Formal languages and abstract machines,
    • Turing Machines
    • Design of computer processor
    • von Neumann machines

    Who it is for

    • The course is suitable for anyone with an interest in programming and computation.


    Admission Details

    Follow the given steps to enroll in the Computer Science: Algorithms, Theory, and Machines Online Course:

    Step 1: Click on the URL given below -

    https://www.coursera.org/learn/cs-algorithms-theory-machines

    Step 2: Click on the “Enroll for Free” option and choose the desired option.

    Step 3: Fill in the required details and complete the process.

    The Syllabus

    Reading
    • Information about Lectures 1–10

    Videos
    • A typical client
    • Binary search
    • Insertion sort
    • Mergesort
    • Longest repeated substring
    Readings
    • Getting Started
    • Supplements for Lecture 11
    • Optional Enrichment on Sorting and Searching
    Assignment
    • Sorting and Searching

    Videos
    • APIs
    • Clients
    • Strawman implementations
    • Linked lists
    • Implementations
    Readings
    • Supplements for Lecture 12
    • Optional Enrichment on Stacks and Queues
    Assignment
    • Stacks and Queues

    Videos
    • APIs and clients
    • A design challenge
    • Binary search trees
    • Implementation
    • Analysis
    Readings
    • Supplements for Lecture 13
    • Optional Enrichment on Symbol Tables
    Assignment
    • Symbol Tables

    Videos
    • Overview
    • Regular Expressions
    • DFAs
    • Applications
    • Limitations
    Readings
    • Supplements for Lecture 14
    • Optional Enrichment on Theory of Computing
    Assignment
    • Theory of Computing

    Videos
    • Context
    • A simple model of computation
    • Universality
    • Computability
    • Implications
    Readings
    • Supplements for Lecture 15
    • Optional Enrichment on Turing Machines
    Assignment
    • Turing Machines

    Videos
    • Reasonable questions
    • P and NP
    • Poly-time reductions
    • NP-completeness
    • Living with intractability
    Readings
    • Supplements for Lecture 16
    • Optional Enrichment on Intractability
    Assignment
    • Intractability

    Videos
    • Overview
    • Data Types
    • Instructions
    • Operating the machine
    • Machine language programming
    Readings
    • Supplements for Lecture 17
    • Optional Enrichment on A Computing Machine
    Assignment
    • A Computing Machine

    Videos
    • Perspective
    • A note of caution
    • Practical implications
    • Simulation
    Readings
    • Supplements for Lecture 18
    • Optional Enrichment on von Neumann Machines
    Assignment
    • von Neumann Machines

    Videos
    • Building blocks
    • Boolean algebra
    • Digital circuits
    • Adder circuit
    • Arithmetic/logic unit
    Readings
    • Supplements for Lecture 19
    • Optional Enrichment on Combinational Circuits
    Assignment
    • Combinational Circuits

    Videos
    • Overview
    • Bits, registers, and memory
    • Program counter
    • Components and connections
    Readings
    • Supplements for Lecture 20
    • Optional Enrichment on the CPU
    Assignment
    • CPU

    Instructors

    Princeton University, Princeton Frequently Asked Questions (FAQ's)

    1: How much time does it require to finish the course?

    The course requires a total of 2 weeks for completion.

    2: Can I get placement help for the course?

    No, the Computer Science: Algorithms, Theory, and Machines Online Course does not provide placement help.

    3: Will I get a certificate for the course?

    No, the candidates of the course will not receive a certificate for the course.

    4: What is the mode of assessments for the course?

    The mode of assessment for the course includes multiple-choice exercises and in-video quizzes.

    5: Can I get access to all course materials for free?

    Yes, the Computer Science: Algorithms, Theory, and Machines Course is a free course wherein you will get access to all course materials free of cost.

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