Hack Nirma

🎓 Path to hack Computer Science (BTech) at Nirma University

Contents

• Summary
• Disclaimer
• Prerequisites
• Curriculum
  • First Semester
  • Second Semester
  • Third Semester
  • Fourth Semester
  • Fifth Semester
  • Sixth Semester
  • Seventh Semester
  • Eighth Semester
  • Project Ideas
• Exam Preparation checklist
• Important Websites
• Additional Resources
• YouTube channels to subscribe
• Binge Worthy
• Contributing
• Ask for help
• References

Summary

This curriculum was designed to help you with your Bachelor’s for computer engineering using online material. The aim is to give you a complete understanding of the field including industry standards and best practices. The goal is not to score high grades although if followed correctly scoring marks will be easy. We have compiled some of the best resources for each domain available freely online.

The courses prescribed are from the top universities and often best in their field and often there are no substitutes. Still feel free to post an issue if you have found a resource that could help us.

Disclaimer

This course was designed by students at Nirma University and cannot substitute a Bachelor’s Degree. This curriculum doesn’t guarantee good grades or a job. You are solely responsible if you choose to pursue this curriculum or any of the below-mentioned courses.

These courses are in addition to the text prescribed in the syllabus and thus it is very important to read the text first and use these resources in a complementary manner.

Prerequisites

These aren’t prerequisites you should be already knowing rather these are concepts which are better if cleared before taking up the regular courses.

• Introduction to Computer Science CS50 - edX

  You don’t need to complete the whole course. However, you are expected to complete the course until where it deviates from C and moves on to python. Also if you have the time you can complete the course.

• Learning How to Learn - Coursera (Optional)

  This course teaches you a lot about how your brain works and what are the best memorization techniques. You can skip this if you are confident with your learning skills.

• Physics - Khan Academy
• Chemistry - Khan Academy

• Electrical Engineering - Khan Academy

  If you need a refresher for core math or science then please go through these videos.

  I also made a playlist that has some MS Word Tutorials. These wil come in handy while documenting and researching.

• Word Tutorial

Curriculum

First Semester

CE104 Computer Programming

Theory

• C Programming with Linux - edX
• Introduction to Programming in C - NPTEL

Practical

• C Programming tutorials - YouTube playlist
• How to Use Git and GitHub - Udacity

CY102 Chemistry

Theory

• Organic chemistry - Khan Academy

MA102 Calculus and Differential Equations

Theory

• Precalculus - Khan Academy
• Calculus - Khan Academy
• Differential Equations - Khan Academy
• Single variable calculus - MIT OCW

CL103 Environmental Studies

Theory

• Making Sense of Climate Science Denial - edX

Second Semester

MA202 Linear Algebra

Theory

• Linear Algebra - MIT OCW
• Essence of Linear Algebra - YouTube playlist

CE105 Introduction to Computer Science and Engineering

Theory

• Computer Science - Khan Academy
• Introduction to Computer Science and Programming using Python - MITx edX

Third Semester

EC321 Basic Electronics

Theory

• Analog Electronics Neso Academy - YouTube playlist
• JK smart classes - YouTube playlist (Optional) This is only for beginners who don’t have any prior knowledge of the subject.

CE301 Digital Systems

Theory

• Neso Academy - YouTube playlist
• Build a Modern Computer from First Principles: From Nand to Tetris - Coursera
• Digital Circuits - MITx edx

CE302 Object Oriented Programming

Theory/Practical

• Java Tutorial - javaTpoint
• Java Tutorial - Tutorialspoint
• Fork Java - GeeksforGeeks
• Learn Java - Codeacademy
• Java Tutorial - freecodecamp
• Java Programming Tutorials - thenewboston This is only for very beginners.

CE303 Mathematical foundation of Computer Science

Theory

• Math for Computer Science - MIT OCW
• Mathematical Thinking in Computer Science - Coursera

SP343 Enterpreneurship

Theory/Practical

• Entrepreneurship - Khan Academy
• How to start a startupn Stanford - YouTube playlist Optional

Fourth Semester

CE402 Computer Organization

Theory

• Computer Architecture - MITx edx
• Computer Organization - MITx edx

CE403 Data Structures

Theory/Practicals

• Data Structures- GeeksforGeeks
• Data Structures mycodeschool - YouTube playlist
• Data Structures - Coursera
• Data Structures and Algorithms, NPTEL - YouTube playlist

MA403 Probability Statistics and Numerical Analysis

Theory

• Mathematics for Computer Science - MIT OCW

SP341 Ethics and Values

Theory

• Justice - edX

• Psychology CrashCourse - YouTube playlist

• Introduction to Psychology with Paul Bloom, Yale - Coursera Optional
• Maps of Meaning, Jordan Peterson Optional

SP341 Economics for Engineers

Theory

• Crash Course: Economics - YouTube playlist
• Macroeconomics - Khan Academy
• Microeconomics - Khan Academy
• Finance and capital markets - Khan Academy Optional

Fifth Semester

CE501 Theory of Computation

This is the most abstract and fundamental subject of Computer Science so you might want to pay extra attention to this subject.

Theory

• Ravindrababu Ravula - YouTube playlist
• Neso Academy - YouTube playlist
• Sanchit Jain - YouTube playlist
• Automata Theory - Stanford lagunita(Optional)

CE502 Database Management Systems

Knowledge from this subject will be helpful in most of the applications.

Theory

• Stanford Database Courses- Stanford lagunita
• Knowledge Gate - YouTube playlist
• Gate Smashers - YouTube playlist

Practicals

• SQL Tutorial - W3Schools

• SQL Tutorial - GeeksforGeeks

• Learn MongoDB - MongoDB University Optional

CE503 Computer Networks

Theory

• Introduction to Computer Networking - Stanford lagunita
• The Bits and Bytes of Computer Networking - Coursera

Practicals

• Cisco Packet Tracer - YouTube playlist
• Cisco CCNA 1 - Introduction to Networking Optional

CE504 Operating Systems

This course will be very helpful at the time of interviews and as a CS student, you must have the core concepts clear.

Theory:

• Introduction to Operating Systems - Udacity
• Advanced Operating Systems - Udacity

Practicals:

• UNIX / LINUX Tutorial from Tutorialspoint

IT502 Web Designing

Theory

• HTML5 and CSS Fundamentals - edX
• JavaScript Introduction - edX

Practicals

• HTML5 Tutorial - W3Schools
• CSS Tutorial - W3Schools
• JavaScript Tutorial- W3Schools
• Responsive Web Design - freeCodeCamp
• Traversy media - YouTube

SS562 Law for Engineers

Theory

• YouTube Playlist

Sixth Semester

CE601 Design and Analysis of Algorithms

Theory

• Design and Analysis of Algorithms - NPTEL
• Algorithms by Abdul Bari - Youtube playlist
• Algoritms by Ravindrababu Ravula - Youtube
• Steven Skiena - YouTube playlist
• Algorithms: Design and Analysis, Part I - Stanford Lagunita
• Algorithms: Design and Analysis, Part II - Stanford Lagunita

IT601 Software Engineering

Theory

• Software Engineering: Introduction - edX

CE623 Machine Learning

If you need a refresher in linear algebra or probability, you can find resources above.

Theory

• Intro to Statistics - Udacity Optional
• Machine Learning, Stanford - Coursera
• Machine Learning Crash Course - Google Developers
• Learning from Data, Caltech - Youtube playlist For beginners
• Introduction to Machine Learning, fast.ai - Youtube playlist

CE633 Data Mining

Theory

• Intro to Statistics - Udacity Optional
• Data Mining - NPTEL
• Learning from Data, Caltech - Youtube playlist For beginners
• Mining Massive Datasets - Stanford Lagunita

Seventh Semester

IT724 Artificial Intelligence

Theory

• Introduction to Artificial Intelligence - UC Berkley
• Well Academy - YouTube playlist
• Intro to AI - Udacity
• NPTEL Videos by Dr. Dasgupta
• Artificial Intelligence - MIT - Youtube

IT794 Compilers

Theory

• Compilers - Stanford Lagunita
• Compiler Design by Randrababu Ravula - YouTube

IT7F4 Deep Learning

Theory

• Deep Learning by Ian Goodfellow
• Convolutional Neural Networks for Visual Recognition - Stanford
• CNN notes - Stanford
• Deeplearning.ai Course

Practicals

• Introduction to TensorFlow - Udacity

Eighth Semester

Project Ideas

• Project Based Learning
• Mega Project List
• Awesome Deep Learning Project Ideas
• open-source-ideas
• Project Ideas - OSIRIS Lab
• Better project ideas - Medium

Exam Preparation checklist

• Complete Syllabus by reading prescribed text or watching videos
• Go through lecture notes
• Solve Tutorials
• Solve previous year’s question paper

Important Websites

• Timetable
• Moodle

Additional Resources

At this point, several resources might be repeating themselves but we don’t want to miss any.

• Qasim’s Drive
• OSSU Computer science
• GitHub Résumé
• Coding Interview University
• Awesome CS Courses
• developer-roadmap
• A collection of .gitignore templates
• Curated list of awesome lists
• Learn_Computer_Science_in_5_Months
• what-happens-when
• front-end-interview-handbook
• Front-End-Checklist
• python-guide
• Public APIs
• Project Guidelines
• Udacity Nanodegrees
• The System Design Primer
• The Open-Source Data Science Masters
• awesome-flutter
• Every Programmer Should Know
• Papers with code
• Computer Science courses with video lectures
• Data Science Resources
• List of Free Learning Resources
• Best-websites-a-programmer-should-visit

YouTube channels to subscribe

It’s quite easy to waste a lot of time on YouTube, subscribe to these channels and you might end up learning something as well.

Have an awesome channel name that isn’t on the list, feel free to add it to the list.

Binge Worthy

No one likes to study at all times, here are a few TV shows and movies you must watch.

• Mr. Robot
• Dynasties
• Black Mirror
• Westworld
• Silicon Valley
• Genius
• The IT Crowd

Contributing

If you find a link broken or have better alternative resources you can contribute by submitting an issue or a pull request.

• learn-github
• how-to-contribute-to-open-source

Ask for help

You can directly interact using issues. I may not be able to solve all your problems but I can provide you with the right guidance. You can reach me out at sohelshaikh97@gmail.com

References

• http://www.nirmauni.ac.in/ITNU/CE/4/Subjects
• https://github.com/ossu/computer-science