Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video 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
- 20 study hours
- 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
- 20 Study Hours
- 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 |
The Computer Science: Algorithms, Theory, and Machines Certification Fees is free. All the course materials will be available free of cost and is no course certificate provided to students.
What you will learn
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
Practice Exercise
Sorting and Searching
Videos
- APIs
- Clients
- Strawman implementations
- Linked lists
- Implementations
Readings
- Supplements for Lecture 12
- Optional Enrichment on Stacks and Queues
Practice Exercise
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
Practice Exercise
- Symbol Tables
Videos
- Overview
- Regular Expressions
- DFAs
- Applications
- Limitations
Readings
- Supplements for Lecture 14
- Optional Enrichment on Theory of Computing
Practice Exercise
Theory of Computing
Videos
- Context
- A simple model of computation
- Universality
- Computability
- Implications
Readings
- Supplements for Lecture 15
- Optional Enrichment on Turing Machines
Practice Exercise
- 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
Practice Exercise
Intractability
Videos
- Overview
- Data Types
- Instructions
- Operating the machine
- Machine language programming
Readings
- Supplements for Lecture 17
- Optional Enrichment on A Computing Machine
Practice Exercise
- A Computing Machine
Videos
- Perspective
- A note of caution
- Practical implications
- Simulation
Readings
- Supplements for Lecture 18
- Optional Enrichment on von Neumann Machines
Practice Exercise
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
Practice Exercise
Combinational Circuits
Videos
- Overview
- Bits, registers, and memory
- Program counter
- Components and connections
Readings
- Supplements for Lecture 20
- Optional Enrichment on the CPU
Practice Exercise
- CPU
Instructors
Princeton University, Princeton Frequently Asked Questions (FAQ's)
The course requires a total of 20 study hours for completion.
No, the Computer Science: Algorithms, Theory, and Machines Online Course does not provide placement help.
No, the candidates of the course will not receive a certificate for the course.
The mode of assessment for the course includes multiple-choice exercises and in-video quizzes.
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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