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IIITD Resources

Maintainers:

Name Timeline
Mohammad Aflah Khan 2021 (Creation) - May 2024
Anirudh S. Kumar May 2024 - Present

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 Courses
Semester 1 IP DC LA HCI COM
Semester 2 DSA P&S BE CO
Semester 3 AP OS DM DS M3 S&S
Semester 4 DBMS ADA M4 PIS TOC SML
Open Electives NLP ML CN NSS-1 NSS-2 RL CG CV EVS ATP

GPU DSCD FF VPM DL IR DSc WN QM GMT

iROB FCS NSC COO KCES ITS PB GT InT PRMP

Semester 1

IP

DC

LA

HCI

COM

Semester 2

DSA

P&S

BE

CO

Semester 3

AP

OS

DM

DS

M3

S&S

Semester 4

DBMS

ADA

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

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

ML

CN

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)

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

CG

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

CV

EVS

ATP

Late Dropped by Contributor

GPU

DSCD

FF

VPM

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

DL

IR

DSc

WN

QM

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

COO

KCES

ITS

PB

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


Course Books : here