IIITD Resources

Maintainers:

Contributors:

The repository contains resources for IIITD courses. You can access the resources using the website or the README.md file.

• If you want to add resources but are confused about how to start, please refer to this guide
• Course books for courses can be found here

Note: The process has recently changed (December 2023) and the changes now need to go to resources.yaml and not to README.md directly

Semester 1

IP

• Telusko Python Playlist
• Code with Harry Python Playlist Hindi
• Programming with Mosh Python 6 Hrs Vid
• Corey Schafer OOPs Concepts
• MIT OCW Python 2016 by Prof. Anna Bell
• Python lectures by Prof. Eric Grimson
• MIT OCW Python 2011 by Prof. John Guttag
• MIT OCW Python 2008 by Prof. John Guttag and Prof. Eric Grimson
• Introduction to Computation & Programming using Python Book
• Hacker Rank for Practice
• Python Tutor for Visualizations
• Codingbat for Practice
• Text based tutorial by GFG
• Text based tutorial by W3S
• Private, Protected and Name Mangling (Not in course but very good for insight building)
• Matplotlib Basics in 6 Min
• Basic Numpy in 13 Min
• Adding figures in Matplotlib

DC

• Neso Academy DC Playlist
• Tutorials Point DC Playlist
• Knowledge Gate DC Playlist Hindi (Does not have decoders and encoders as of March 2021)
• Aasaan Padhai Some Good DC Content in Hindi
• Tristate Buffers Short Vid, Tristate Buffers Longer Vid
• Ben Eater's Playlist (not all are relevant for the course + he has more vids outside this playlist)
• Not Directly in course but insightful for parity stuff - Hamming Codes by 3B1B P-1, Hamming Codes by 3B1B P-2, Ben Eater Hardware approach Hamming Codes
• Morris Mano Book
• Morris Mano Solutions
• Online Circuit Simulation using Tinkercad
• Online Circuit Simulation using Circuitverse
• All gates using MUXs
• All gates using NAND Gate
• All gates using NOR Gate
• A Supercool writeup on Adders with examples on Bit-Sliced Addition
• Positive Edge D Flip Flop using 6 NAND gates only- Writeup
• One Shot End Semester Video (6h)

LA

• MIT OCW LA
• Khan Academy
• 3B1B Visualizations
• Lesser known Playlist by James Hamblin who follows David C Lay in his videos
• Playlist by Shoo Seto follows DC Lay too
• Playlist on Inner Products by Bhagwan Singh Vishwakarma
• DC Lay 5th Edition
• DC Lay Solutions
• Playlist on Vector Spaces LA by Dr.Gajendra Purohit
• Linear Algebra Done Right, Second Edition by Sheldon Axler Book
• Toolkit with many calculators
• Matrix Inverse Calculator
• Eigenvalue and Eigenvector Calculator

HCI

• Interaction Design: Beyond Human-Computer Interaction Book
• Prototyping Tool Figma
• Figma Tutorial in 40 mins
• Figma Crash Course
• Figma App Design Tutorial
• Figma UI Tutorial in 24 mins

COM

• Sharam nahi aayi?
• Aayi?

Semester 2

DSA

• Java Tutorial Programming with Mosh
• DSA Abdul Bari Sir
• Java Code with Harry Hindi
• DSA Code with Harry Hindi (in C)
• MIT 6.006 Introduction to Algorithms, Fall 2011
• MIT 6.006 Fall 2020, Learning modules, quick notes
• DSA with Java Bootcamp Code for Cause
• Recursion by CB
• Backtracking by CB
• Java Foundation by PepCoding

P&S

• Crash Course On Complete Probability And Statistics
• Probability for GATE & ESE
• Statistics and Probability by Dr.Gajendra Purohit
• Visualizing Bayes Theorem 3B1B
• Introduction to Probability and Statistics for Engineers and Scientists 3E
• Solutions to Introduction to Probability and Statistics for Engineers and Scientists 5E

BE

• Basic Electronics NPTEL
• Basics of Electronics
• Analog Electronics Neso Academy
• Network Theory Neso Academy

CO

• Computer Organization and Architecture
• Playlist, Book and Slides by Sarangi (Official Course Book)
• CO + CA notes by (Yash Keswani)

Semester 3

AP

• CS0150 Brown University
• Java Code with Harry Hindi (For Some OOPs Concepts)
• CSE 114 - Fall 2021 section 1 Stony Brook University
• MultiThreading Playlist by Smart Programming in Hindi
• JavaFX by Bro Code
• Drawing UML Diagrams
• Drawing UML Sequence Diagrams
• Drawing Use Case Diagrams

OS

• Full Playlist
• OS notes by (Yash Keswani 2020158)
• Artix Installation (not sure if follows everything needed)
• OS Gate Smashers
• Concise C Video
• Ostep: Three easy pieces (which are really easy)
• Ostep: Homework (and simulations with solutions in github repo)

DM

• DM Gate Smashers
• Mathematics for computer science, Eric Lehman, Albert R Meyer, F Thomson Leighton
• WOP 1, WOP 2
• Pigeonholes and nest (for assignments ;))
• Cut the knot (collection of nice math)
• DM notes by (Yash Keswani)

DS

• DS Cheatsheet by Anirudh
• Knowledge GATE DM Playlist (for first half of semester)
• Graph Theory Playlist - very useful for most proofs and concepts
• Graph Theory Playlist (for some parts which wrath of math playlist does not cover)

M3

• Vector Calculus
• Full Playlist by Dr. Gajendra Purohit
• Crash Course on Vector Calculus
• Playlist by Dr. S K Gupta (video 1-22 are good)
• M3 notes by (Yash Keswani)

S&S

• Full Playlist

Semester 4

DBMS

• Programming with Mosh Tutorial MySQL
• Knowledge GATE DBMS Playlist
• If you wish to build Flask APIs (short refresher)
• Python MySQL Tutorial by Tech With Tim
• Manga
• DBMS notes by (Yash Keswani)

ADA

• Winter'22 Lectures by Prof. Syamantak Das
• Abdul Bari
• Pepcoding
• William Fiset
• ADA notes by (Yash Keswani)

M4

• Do The Book
• Do The Book
• Do The Book
• Google Topics you find difficult probably Gajendra Purohit Sir, BPRP or someone else has a video on it
• M4 notes by (Yash Keswani)

PIS

• IDK NO THEORY

TOC

• Sipser Book
• Spiser Lectures on YouTube
• Kozen Book

SML

• Lecture Slides and/or https://scikit-learn.org/stable/user_guide.html
• The above is not an API only page, you will find a lot of content for reading.
• Do not do [Christopher M. Bishop - Pattern Recognition and Machine Learning-Springer (2006)]
• contains wrong information or inconsistent with class.

Open Electives

NLP

• NPTEL Course
• Smoothing
• Left Recursion/ Left Factoring
• Earley Parser
• Ritvik Math Playlist
• Stanford CS224N: NLP with Deep Learning
• Stanford CS224U: Natural Language Understanding

ML

• Mahesh Huddar's Videos
• Statquest

CN

• Kurose
• Gate Smashers
• Computerphile for some topics

NSS-1

If you want an easier time with the course, take it in the 7th semester after doing CN and maybe FCS(do note these are two very different courses)

• For Stream and Block Ciphers - Dan Boneh's YouTube Channel
• A very good explanation of Kerberos
• For other cryptographic concepts Computerphile
• For SSL/TLS, this Cloudflare article, and this article for TLS1.2 and TLS1.3
• For IPSec, this strongswan article
• Buffer Overflow and Format String Vulnerability - Team bi0s wiki and This binary exploitation notes
• Lectures the biggest resource, right after asking the prof for doubts

NSS-2

This course is very hands on. Expect to be reading lots of man pages, documentation, and setting up things. Some concepts of NSS-1 are talked about in brief. Use the previous resources to brush up your knowledge.

• Tor white paper
• Lots of papers exist on attacks against Tor. Prof will post resources on gc.
• Active Directory Lots of extra material here as well. Only do what's necessary
• Just attend lectures and read notes. Should be sufficient.

RL

• BartoSutton (41MB)
• Bertsekas (extra-ref)
• Keypapers in RL
• UPenn's DL Course Week 11
• RL Course NTNU
• Select Lectures on MDP Stanford CS221
• CS234 Stanford
• DeepMind x UCL | Introduction to Reinforcement Learning 2015
• DeepMind x UCL | Reinforcement Learning Course 2018
• DeepMind x UCL | RL Lecture Series 2021 (Playlist Name has Deep Learning but probably a typo as video names have RL)
• Reinforcement Learning by the Book
• RL Relevant Playlists from CS 486/686 UoT (L18-L21)
• NPTEL Course - Heard good things online, did not use personally

CG

• Peter Shirley, Fundamentals of Computer Graphics (course book, often reffered)
• SIGGRAPH Intro to opengl video
• docs.gl

CV

• Stanford Computer Vision Lecture Notes
• CMU 16-385 Slides

EVS

• All answers compiled

ATP

Late Dropped by Contributor

• Psychological Refractory Period
• Stroop Task
• Action Potential
• Intracellular & Extracellular Recording
• fMRI
• Electroencephalography (EEG)

GPU

• Nvidia CUDA programming
• Programming Massively Parallel Processors - A Hands-on Approach
• Other course content like OpenMP/OpenCL | Read the docs

DSCD

• Distributed Systems - Tanenbaum
• RPC/gRPC
• Network Time Protocol (NTP)
• RabbitMQ
• Distributed Systems by Martin Kleppmann (Good Watch)
• Sequential and Causal Consistency
• Dominant Resource Fairness: Fair Allocation of Multiple Resource Types

FF

• 14th and 15th edition of Fundamentals of Financial Management (Eugene F. Brigham, Joel F. Houston) along with some question papers of 2023
• Do attend lectures as they are the most important source of learning in this course.
• The make-up quiz is very hard, so try not to rely on it and work hard before each quiz.

VPM

• Essentials of Investments, 12th Edition (Zvi Bodie Professor, Alex Kane etc.) [solutions available]

DL

• Stanford CS224N: NLP with Deep Learning
• Andrew NG - DeepLearningAI

IR

• Old IIIT Recordings
• Indexing and VSM
• Some videos from Mining Massive Datasets Course (Stanford)
• Naveen Aggarwal's Playlist (Panjab University)
• Information Retrieval and Web Search IISER Kolkata

DSc

• Stats Playlist
• Hypothesis Testing
• Some lectures from MIT 6.854 (Advanced Algorithms)
• JL Lemma
• SVD
• SVD v/s Eigen Values
• Statquest

WN

• Links I found useful (Not exhaustive)

QM

• JJ Sakurai (Can download online)
• Physics Libretexts (Essential Graduate Physics)
• extracts of MIT OCW Lectures

GMT

• An introduction to game theory, Martin J Osborne (available online)

iROB

• (Peter Corke, Second Edition) Robotics, Vision and Control
• MATLAB Simulink resources

FCS

• PicoCTF
• CryptoHack
• Prof Ninja
• Ofcourse, none of the above is "required" for the course and your proficiency is inversely proportional to the grade you might obtain

NSC

Do prev. years

• Neso Academy Playlist
• RSA (With Extended Euclidean Algorithm)
• Linear Feedback Shift Register
• Public Key Cryptography
• Key Distribution Center (KDC)

COO

• Stanford Lectures
• Totally Unimodular Matrices
• Totally Unimodular Matrices: More Indepth
• Convex Cones and Farkas' Lemma
• Fair and Envy-Free Cake Cutting
• Assignment Problem: Integer Linear Programming
• Playlist with some stuff on NLPP
• Lecture 15 and 16 for Primal to Dual Conversion
• Page 2 for Epigraph related stuff
• Game Theory Related Stuff
• Sensitivity Analysis
• Game Theory Lectures: The playlist has very good proofs for Sperner's Lemma and Brouwer's Fixed Point Theorem
• Anti-recommendation --> lecture notes

KCES

• Sharam nahi aayi?
• Aayi?

ITS

• Sharam nahi aayi?
• Aayi?

PB

• www.google.com

GT

• Introduction to Graph Theory by Douglas B. West
• Note, the course is not on algorithms

InT

• Handwritten notes of 'Prof. Manuj Mukherjee'
• Reference book is mostly not needed. Attend classes for this course, this might be the best course you have seen in the college

PRMP

• Slides from 'HIPEC/Prof. Vivek Kumar cse513 offering'
• gdb tutorial You would need it (seriously)
• Most of the course is discussing research papers. Additional resources not needed

Course Books : here