If you are a college student and want to access the full resources of CSE(Computer Science & Engineering) as well as for GATE (Graduate Aptitude Test Of Engineering) then you are at a right place , here i am going to provide all resources related to GATE and CSE(Computing Science & Engineering)
Check Out The Resources and keep exploring
1:- C Programming And Data Structure
2:- Algorithm
3:- Theory Of Automata
4:- Compiler Design
5:- Operating System
6:- DBMS
7:- Digital Design
8:- Discrete Mathematics
9:- Computer Networks
10:- Computer Architecture/ Organization
(Not Included In Gate)
11:- Java
12:- Artificial Intelligence
13 :- Software Engineering
14 :- Micro Processor
15 :- Python
16 :- IOT
17 :- Cloud Computing
18 :- Engineering Mathematics
For GATE Syllabus Click here GATE Syllabus
For GATE Question Papers Click here GATE Question Papers
For Practice Questions with Solutions Click here GATE Practice Papers with Solutions
For question practice and test series . Click here Free Test Series Sudo Gate
For Hand Written Ravindra Babu Ravula Notes . Click here RBR Hand Written Notes (All Subjects)
For Gate Academy Notes . Click here Gate Academy
For PYQ Gate Questions . Click here PYQ RBR
For Made Easy Theory Notes and Practice Booklet . Click here ME Booklet and Theory Book 2020
Year | Organizing Institutes |
---|---|
2023 | IIT Kanpur |
2022 | IIT Kharagpur |
2021 | IIT Bombay |
2020 | IIT Delhi |
2019 | IIT Madras |
2018 | IIT Guwahati |
2017 | IIT Roorkee |
2016 | IISc Bangalore |
2015 | IIT Kanpur |
2014 | IIT Kharagpur |
2013 | IIT Bombay |
2012 | IIT Delhi |
2011 | IIT Madras |
2010 | IIT Guwahati |
2009 | IIT Roorkee |
2008 | IISc Bangalore |
2007 | IIT Kanpur |
2006 | IIT Kharagpur |
2005 | IIT Bombay |
2004 | IIT Delhi |
2003 | IIT Madras |
2002 | IISc Bangalore |
2001 | IIT Kanpur |
2000 | IIT Kharagpur |
1999 | IIT Bombay |
1998 | IIT Delhi |
1997 | IIT Madras |
1996 | IISc Bangalore |
1995 | IIT Kanpur |
- Theory Of Computation (TOC)
- Operating System (OS)
- C Programming (C)
- Data Structure (DS)
- Digital Design (DD)
- Database Management System (DBMS)
- Compiler Design
- Computer Architecture (CA)
- Computer Networks (CN)
- Algorithms (Algo)
Youtube Lectures
1 :- MIT OpenSource
2 :- Gate Lectures By Ravindra Babu Ravula
3 :- Well Academy
4 :- Knowledge GATE
5 :- NPTEL
6 :- Neso Academy
7:- Unacademy Computer Science
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
Youtube Lectures
1 :- MIT OpenSource
2 :- Gate Lectures By Ravindra Babu Ravula
4 :- Knowledge GATE
5 :- NPTEL
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
3:- Scaler Topics
4:- InterviewBit
Youtube Lectures
1 :- MIT OpenSource
2 :- Programming in C by Saurabh Shukla
3 :- NPTEL
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
3:- Tutorial Point
4:- InterviewBit
5:- Scaler Topics
Youtube Lectures
1 :- MIT OpenSource
2 :- Data Structure by Saurabh Shukla
3 :- NPTEL
4 :- Knowledge GATE
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
3:- Tutorial Point
4:- InterviewBit
Youtube Lectures
1 :- Neso Academy
2 :- NPTEL
3 :- Knowledge GATE
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
Youtube Lectures
1 :- Gate Lectures By Ravindra Babu Ravula
2 :- NPTEL
3 :- Knowledge GATE
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
3:- InterviewBit
4:- Scaler Topics
Youtube Lectures
1 :- Gate Lectures By Ravindra Babu Ravula
2 :- NPTEL
3 :- Knowledge GATE
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
Youtube Lectures
1 :- NPTEL
2 :- Gate Book
3 :- Well Academy
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
Youtube Lectures
1 :- NPTEL
2 :- Gate Lectures By Ravindra Babu Ravula
3 :- Well Academy
5 :- Knowledge GATE
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
3:- InterviewBit
Youtube Lectures
1 :- NPTEL
2 :- Gate Lectures By Ravindra Babu Ravula
3 :- Well Academy
5 :- Knowledge GATE
Other Resources
1:- Geeks for Geeks
2:- Lecture Notes
3:- Algorithm
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- CSE-229 - Stanford University
- AndrewNg | Coursera " - Select individual course if it consists of multiple then click on audit below the trial/payment options"
- ML with Python | YouTube
- Machine Learning Crash Course | Google Developers
- Applied Data Science with Python Specialization | Coursera
- Machine Learning | Kaggle