Home MOOCs-List Best NPTEL Online Courses for Computer Science

Best NPTEL Online Courses for Computer Science

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NPTEL Online Courses for Computer Science

NPTEL, as you all know, has a variety of courses to offer to cover wide disciplines. Whatever the field you’re interested in, NPTEL has an online course for you. Since NPTEL has almost all of the disciplines covered, Computer Science is also on the list. So today, our topic of discussion is NPTEL online courses for Computer Science. To view list of all NPTEL Online Courses as well as NPTEL Registration visit here.

Takethiscourse.net in this matter has compiled a list of top 10 NPTEL online courses for computer science that you can take. So let us take a look at this list.

Top 10 NPTEL Online Courses for Computer Science:

ADCS50’s Introduction to Computer Science

      • Harvard University via edX
      • 9 Problem Sets (10 to 20 hours each), 1 Final Project
      • 1,993,914+ students enrolled
      • 12 weeks (6-18 hours weekly) of effort required
      • ★★★★★

saveAdvanced Computer Architecture

      • Prof. John Jose via NPTEL
      • Co-ordinated by: IIT Guwahati
      • 8 Weeks duration
      • Discipline: Computer Science and Engineering

An advanced level course that will help you understand the basics of computer organization conveniently. Through this course, you will learn about performance evaluation methods, what is RISC and instruction pipeline? Similarly, other topics like superscalar processing, cache memory principles, primary and secondary storage systems, and others will be discussed too. The course also contains assignments that you need to solve to get a better understanding. With that, there are PDF files available to download as. So we can say this course is a very proficient way to understand computer architecture.

saveThe Joy of Computing using Python

      • Prof. S.R.S Iyengar via NPTEL
      • Co-ordinated by: IIT Ropar
      • 12 Weeks duration
      • Discipline: Computer Science and Engineering

Understanding what programming is can be a little tiring sometimes but not anymore. Take this course and you will find yourself in a comfortable environment where you can learn programming. Concepts like what is SCRATCH, LOOPS, solution to LOOPING problems, permutations, etc will be taught through videos. At the same time, many other concepts like recursion, substitution cipher, anagrams, data compression and much more will be taught as well. So do not hesitate to waste your time anymore and enrol in this course now to start learning today.

saveIntroduction to Machine Learning

      • Prof. Sudeshna Sarkar via NPTEL
      • Co-ordinated by: IIT Kharagpur
      • 8 Weeks duration
      • Discipline: Computer Science and Engineering

This online course has been designed to give an overview of Machine Learning. Taking this course will help you understand machine learning in a more effective manner. Various topics will be covered in this course as the course is divided into 8 weeks. With each week that comes, different concepts are going to be taught. Starting with an introduction and then moving to other topics like hypothesis space and inductive bias. Similarly, many other topics will be discussed that will give you a detailed understanding of machine learning. So enrol now and start learning today. TakeThisCourse has a separate list of top NPTEL Machine Learning courses that might be of interest.
Online Specializations

saveFoundations of Cryptography

      • Prof. Ashish Choudhury via NPTEL
      • Co-ordinated by: IIT Bangalore
      • 12 Weeks duration
      • Discipline: Computer Science and Engineering

Do you have this urge to understand what cryptography is and how it works? If yes, then you have landed on the right course. When you start this course, you will first be given an overview of the whole course. In other words, you are going to understand what you will learn from this course. A variety of topics like symmetric-key encryption, perfect security, stream ciphers will be taught. Moreover, other topics like cryptographic hash functions, random oracle model, authenticated encryption, and many others will also be a part of your learning journey. Thus taking this course will be of great value.

saveBig Data Computing

      • Prof. Rajiv Misra via NPTEL
      • Co-ordinated by: IIT Patna
      • 8 Weeks duration
      • Discipline: Computer Science and Engineering

A detailed course that will give you a thorough understanding of what big data is. As you go further with the course, you are going to learn about the Hadoop stack for big data. Similarly, different topics like Hadoop Mapreduce, parallel programming with spark, CAP theorem will be discussed. Other concepts like consistency solutions, data placement strategies, decision trees for big data analytics are also taught. After completing the course, you will have a full understanding of all the concepts taught. So, start this course now and learn everything in the comfort of your home.

savePython for Data Science

      • Prof. Raghunathan Rengasamy via NPTEL
      • Co-ordinated by: IIT Madras
      • 4 Weeks duration
      • Discipline: Computer Science and Engineering

Learning Python for data science has always been a challenging task. That is why this course is for learners like you who are facing problems in understanding Python. When you start the course, you will first understand what python for data science is. Then moving to another section which will give you a detailed introduction of python. Similarly, as you proceed, you will understand different variables and datatypes, tuples and operators, matrix and linear algebra, and much more. You, therefore, can learn everything about python for data science with this online course.

saveBlockchain Architecture Design and Use Cases

      • Prof. Sandip Chakraborty & Prof. Praveen Jayachandran via NPTEL
      • Co-ordinated by: IIT Kharagpur
      • 12 Weeks duration
      • Discipline: Computer Science and Engineering

A very informative and engaging course that will help you understand even the minute details of Blockchain. Starting with the blockchain introduction and then moving to basic crypto primitives, the course helps you understanding everything slowly. Later, as you move, you will learn about bitcoin basics and how it works. Similarly, each of the concepts has been divided into different weeks. Every week has a scheduled topic that you will learn to avoid getting confused. Each module is independent which means that you can start with whatever the module you like first. Thus this course makes it feasible for you to learn.

saveCloud Computing

      • Prof. Soumya Kanti Ghosh via NPTEL
      • Co-ordinated by: IIT Kharagpur
      • 8 Weeks duration
      • Discipline: Computer Science and Engineering

ADMachine Learning

      • Stanford University via Coursera
      • 64 hours of effort required
      • 2,975,908+ students enrolled
      • ★★★★★ (129,908 Ratings)

savePractical Machine Learning with Tensorflow

      • Prof. Ashish Tendulkar & Prof. B. Ravindran via NPTEL
      • Co-ordinated by: IITM & Google
      • 8 Weeks duration
      • Discipline: Computer Science and Engineering

With this course, you are going to understand machine learning with the tensor flow. The instructor will first give you an overview of tensor flow to understand what it is. Later, you will be taught the steps in the machine learning process. Furthermore, the topics that will be covered will give you a better understanding of how this all works. Concepts like gradient descent, loss functions in machine learning, model selection and evaluation, deep learning refresher, and many more will be covered here. So if this course is what you need then enrol now and start to enjoy learning from this course now.

saveGPU Architectures and Programming

      • Prof. Soumyagit Dey via NPTEL
      • Co-ordinated by: IIT Kharagpur
      • 12 Weeks duration
      • Discipline: Computer Science and Engineering

A most engaging and easy-to-understand course for you to get a knowhow of GPU architectures and its working. Precisely, this course is an answer for you to understand the basics of GPU architectures and CUDA programming. The course is packed with many concepts that are taught meticulously by the instructor. Starting with a review of basic C.O.A and then an overview of GPU architectures will be taught. Then the course takes you slowly to understand other concepts properly. Concepts like multi-dimensional mapping of dataspace, warp scheduling and divergence, memory access coalescing etc will be a part. Hence taking this course now will be very helpful to you.

ADCS50’s Computer Science for Business Professionals

      • Harvard University via edX
      • 6 weeks (2-6 hours weekly) of effort required
      • 62,059+ students enrolled
      • ★★★★★
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By taking a look at the above-mentioned courses, you can easily decide which course is best for you. So take your time and look at what each course has to offer and then choose accordingly.