resources.yaml

Semester 1:
  COM:
    Resources:
    - '[Sharam nahi aayi?](https://www.youtube.com/watch?v=dQw4w9WgXcQ)'
    - '[Aayi?](https://www.youtube.com/watch?v=y6120QOlsfU)'
  DC:
    Resources:
    - '[Neso Academy DC Playlist](https://www.youtube.com/playlist?list=PLBlnK6fEyqRjMH3mWf6kwqiTbT798eAOm)'
    - '[Tutorials Point DC Playlist](https://www.youtube.com/playlist?list=PLWPirh4EWFpHk70zwYoHu87uVsCC8E2S-)'
    - '[Knowledge Gate DC Playlist Hindi (Does not have decoders and encoders as of
      March 2021)](https://www.youtube.com/playlist?list=PLmXKhU9FNesSfX1PVt4VGm-wbIKfemUWK)'
    - '[Aasaan Padhai Some Good DC Content in Hindi](https://www.youtube.com/channel/UCECthWmk5_sRaE8OCbO_Gag/featured)'
    - '[Tristate Buffers Short Vid](https://www.youtube.com/watch?v=X2HPjppH7Rs),
      [Tristate Buffers Longer Vid](https://www.youtube.com/watch?v=2TgCKazwNFk)'
    - '[Ben Eater''s Playlist (not all are relevant for the course + he has more vids
      outside this playlist)](https://www.youtube.com/playlist?list=PLowKtXNTBypGqImE405J2565dvjafglHU)'
    - Not Directly in course but insightful for parity stuff - [Hamming Codes by 3B1B
      P-1](https://www.youtube.com/watch?v=X8jsijhllIA), [Hamming Codes by 3B1B P-2](https://www.youtube.com/watch?v=b3NxrZOu_CE),
      [Ben Eater Hardware approach Hamming Codes](https://www.youtube.com/watch?v=h0jloehRKas)
    - '[Morris Mano Book](http://www.portcity.edu.bd/files/636444791235373856_Digitallogicdesign.pdf)'
    - '[Morris Mano Solutions](https://usermanual.wiki/Pdf/Digital20Design2C20205th20Edition20Solution20Manual.205541320/view)'
    - '[Online Circuit Simulation using Tinkercad](https://www.tinkercad.com/)'
    - '[Online Circuit Simulation using Circuitverse](https://circuitverse.org/)'
    - '[All gates using MUXs](https://www.geeksforgeeks.org/multiplexers-in-digital-logic/#:~:text=Implementation%20of%20NAND%2C%20NOR%2C%20XOR,input%20to%20the%20second%20multiplexer.&text=Three(3)%20%E2%80%8B2%20%3A,to%20implement%204%20%3A%201%20MUX.)'
    - '[All gates using NAND Gate](https://en.wikipedia.org/wiki/NAND_logic)'
    - '[All gates using NOR Gate](https://en.wikipedia.org/wiki/NOR_logic)'
    - '[A Supercool writeup on Adders with examples on Bit-Sliced Addition](https://courses.engr.illinois.edu/ece199/fa2012/notes/adder.pdf)'
    - '[Positive Edge D Flip Flop using 6 NAND gates only- Writeup](http://elprojects.blogspot.com/2011/01/positive-edge-d-flip-flop-using-6-nand.html)'
    - '[One Shot End Semester Video (6h)](https://www.youtube.com/watch?v=pHNbm-4reIc)'
  HCI:
    Resources:
    - '[Interaction Design: Beyond Human-Computer Interaction Book](https://school.hbh7.com/pdfs/RPI/%5BHelen-Sharp%2C-Jenny-Preece%2C-Yvonne-Rogers%5D-Interac%28z-lib.org%29.pdf)'
    - '[Vasiliki - HCI](https://www.youtube.com/playlist?list=PLZJO8uYi0aTH18GiHj23feaBjRAumTM3z)'
    - '[DES101: Introduction to HCI Dr. Rajiv Ratn Shah.MIDAS Lab IIIT Delhi](https://www.youtube.com/playlist?list=PL9rvax0EIUA7KMhdCpjvAFroczbd_s7Z-)'
    - '[Prototyping Tool Figma](https://figma.com)'
    - '[Figma Tutorial in 40 mins](https://www.youtube.com/watch?v=4W4LvJnNegA)'
    - '[Figma Crash Course](https://www.youtube.com/watch?v=Gu1so3pz4bA)'
    - '[Figma App Design Tutorial](https://www.youtube.com/watch?v=PeGfX7W1mJk)'
    - '[Figma UI Tutorial in 24 mins](https://www.youtube.com/watch?v=FTFaQWZBqQ8)'
  IP:
    Resources:
    - '[Telusko Python Playlist](https://www.youtube.com/playlist?list=PLsyeobzWxl7poL9JTVyndKe62ieoN-MZ3)'
    - '[Code with Harry Python Playlist Hindi](https://www.youtube.com/playlist?list=PLu0W_9lII9agICnT8t4iYVSZ3eykIAOME)'
    - '[Programming with Mosh Python 6 Hrs Vid](https://www.youtube.com/watch?v=_uQrJ0TkZlc)'
    - '[Corey Schafer OOPs Concepts](https://www.youtube.com/playlist?list=PL-osiE80TeTsqhIuOqKhwlXsIBIdSeYtc)'
    - '[MIT OCW Python 2016 by Prof. Anna Bell](https://www.youtube.com/playlist?list=PLUl4u3cNGP63WbdFxL8giv4yhgdMGaZNA)'
    - '[Python lectures by Prof. Eric Grimson](https://www.youtube.com/playlist?list=PLRJdqdXieSHN0U9AdnmwD-9QcR9hmw04d)'
    - '[MIT OCW Python 2011 by Prof. John Guttag](https://www.youtube.com/playlist?list=PLB2BE3D6CA77BB8F7)'
    - '[MIT OCW Python 2008 by Prof. John Guttag and Prof. Eric Grimson](https://www.youtube.com/playlist?list=PL4C4720A6F225E074)'
    - '[Introduction to Computation & Programming using Python Book](https://ducamp.me/images/0/00/Intro-Computation-Programming-using-Python.pdf)'
    - '[Hacker Rank for Practice](https://www.hackerrank.com/domains/python)'
    - '[Python Tutor for Visualizations](http://pythontutor.com/)'
    - '[Codingbat for Practice](https://codingbat.com/python)'
    - '[Text based tutorial by GFG](https://www.geeksforgeeks.org/python-programming-language/)'
    - '[Text based tutorial by W3S](https://www.w3schools.com/python/)'
    - '[Private, Protected and Name Mangling (Not in course but very good for insight
      building)](https://medium.com/analytics-vidhya/python-name-mangling-and-how-to-use-underscores-e67b529f744f)'
    - '[Matplotlib Basics in 6 Min](https://www.youtube.com/watch?v=nzKy9GY12yo)'
    - '[Basic Numpy in 13 Min](https://www.youtube.com/watch?v=xECXZ3tyONo)'
    - '[Adding figures in Matplotlib](https://www.youtube.com/watch?v=CRMtqTeH2HQ)'
    - '[Pattern Questions by Striver](https://youtu.be/tNm_NNSB3_w?si=7h28Okh_P9s9IJ_R)'
  LA:
    Resources:
    - '[MIT OCW LA](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8)'
    - '[Khan Academy](https://www.youtube.com/watch?v=xyAuNHPsq-g&list=PLFD0EB975BA0CC1E0)'
    - '[3B1B Visualizations](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)'
    - '[Lesser known Playlist by James Hamblin who follows David C Lay in his videos](https://www.youtube.com/playlist?list=PLNr8B4XHL5kGDHOrU4IeI6QNuZHur4F86)'
    - '[Playlist by Shoo Seto follows DC Lay too](https://www.youtube.com/playlist?list=PLkvjKEArvf9uo4admb4NQ1wn-9g0lfptE)'
    - '[Playlist on Inner Products by Bhagwan Singh Vishwakarma](https://www.youtube.com/playlist?list=PLdM-WZokR4tYGuV7IozQ3-F86kOPCXRrp)'
    - '[DC Lay 5th Edition](https://math.berkeley.edu/~yonah/files/Linear%20Algebra.pdf)'
    - '[DC Lay Solutions](http://www.aerostudents.com/courses/linear-algebra/linearAlgebraSolutionsComplete.pdf)'
    - '[Playlist on Vector Spaces LA by Dr.Gajendra Purohit](https://www.youtube.com/playlist?list=PLU6SqdYcYsfJOGZdxUpDk3w9o-w94-RoG)'
    - '[Linear Algebra Done Right, Second Edition by Sheldon Axler Book](https://www.cin.ufpe.br/~jrsl/Books/Linear%20Algebra%20Done%20Right%20-%20Sheldon%20Axler.pdf)'
    - '[Toolkit with many calculators](http://www.math.odu.edu/~bogacki/cgi-bin/lat.cgi)'
    - '[Matrix Inverse Calculator](https://matrix.reshish.com/inverse.php)'
    - '[Eigenvalue and Eigenvector Calculator](https://www.emathhelp.net/calculators/linear-algebra/eigenvalue-and-eigenvector-calculator/)'
Semester 2:
  BE:
    Resources:
    - '[Basic Electronics NPTEL](https://www.youtube.com/playlist?list=PLzJaFd3A7DZsA8xZg3tgoshboIIBY98cB)'
    - '[Basics of Electronics](https://www.youtube.com/playlist?list=PLwjK_iyK4LLCAN5TddEZyliChEMpF0oOL)'
    - '[Analog Electronics Neso Academy](https://www.youtube.com/playlist?list=PLBlnK6fEyqRiw-GZRqfnlVIBz9dxrqHJS)'
    - '[Network Theory Neso Academy](https://www.youtube.com/playlist?list=PLBlnK6fEyqRgLR-hMp7wem-bdVN1iEhsh)'
  CO:
    Resources:
    - '[Computer Organization and Architecture](https://www.youtube.com/playlist?list=PLxCzCOWd7aiHMonh3G6QNKq53C6oNXGrX)'
    - '[Playlist, Book and Slides by Sarangi (Official Course Book)](https://www.cse.iitd.ac.in/~srsarangi/archbooksoft.html)'
    - '[CO + CA notes](https://yash-keswani.github.io/iiitd_notes/CSE112_CO/) by [(Yash
      Keswani)](https://github.com/Yash-Keswani)'
  DSA:
    Resources:
    - '[A2Z Striver](https://www.youtube.com/playlist?list=PLgUwDviBIf0oF6QL8m22w1hIDC1vJ_BHz)'
    - '[Java Tutorial Programming with Mosh](https://www.youtube.com/watch?v=eIrMbAQSU34)'
    - '[DSA Abdul Bari Sir](https://www.youtube.com/playlist?list=PLAXnLdrLnQpRcveZTtD644gM9uzYqJCwr)'
    - '[Java Code with Harry Hindi](https://www.youtube.com/playlist?list=PLu0W_9lII9agS67Uits0UnJyrYiXhDS6q)'
    - '[DSA Code with Harry Hindi (in C)](https://www.youtube.com/playlist?list=PLu0W_9lII9ahIappRPN0MCAgtOu3lQjQi)'
    - '[MIT 6.006 Introduction to Algorithms, Fall 2011](https://www.youtube.com/playlist?list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)'
    - '[MIT 6.006 Fall 2020, Learning modules, quick notes](https://learning-modules.mit.edu/materials/index.html?uuid=/course/6/fa20/6.006#materials)'
    - '[DSA with Java Bootcamp Code for Cause](https://www.youtube.com/playlist?list=PLyzHIYrZBplpsh_PQimtVosH72wSVOpy2)'
    - '[Recursion by CB](https://www.youtube.com/playlist?list=PLl4Y2XuUavmuGnDghDhlD2tjePJ7Ej-rA)'
    - '[Backtracking by CB](https://www.youtube.com/playlist?list=PLl4Y2XuUavmtkuz3MoLFuBKYmlk52tyaM)'
    - '[Java Foundation by PepCoding](https://www.pepcoding.com/resources/online-java-foundation)'
    - '[DS Knowledge Gate One Shot](https://www.youtube.com/watch?v=MdG0Vw9f1A4)'
    - '[Algo Knowledge Gate One Shot](https://www.youtube.com/watch?v=z6DY_YSdyww)'
  P&S:
    Resources:
    - '[Crash Course On Complete Probability And Statistics](https://www.youtube.com/watch?v=YBG3fIdbrMg)'
    - '[Probability for GATE & ESE](https://www.youtube.com/playlist?list=PLMaNnDEjr-rXZCx9U8iEBnCjyqPbhVdZK)'
    - '[Statistics and Probability by Dr.Gajendra Purohit](https://www.youtube.com/playlist?list=PLU6SqdYcYsfLRq3tu-g_hvkHDcorrtcBK)'
    - '[Visualizing Bayes Theorem 3B1B](https://www.youtube.com/watch?v=HZGCoVF3YvM)'
    - '[Introduction to Probability and Statistics for Engineers and Scientists 3E](http://www.r-5.org/files/books/computers/algo-list/statistics/probability/Sheldon_M_Ross-Introduction_to_Probability_and_Statistics-EN.pdf)'
    - '[Solutions to Introduction to Probability and Statistics for Engineers and
      Scientists 5E](https://minerva.it.manchester.ac.uk/~saralees/statbook3.pdf)'
Semester 3:
  AP:
    Resources:
    - '[CS0150 Brown University](https://cs.brown.edu/courses/cs015/)'
    - '[Java Code with Harry Hindi (For Some OOPs Concepts)](https://www.youtube.com/playlist?list=PLu0W_9lII9agS67Uits0UnJyrYiXhDS6q)'
    - '[CSE 114 - Fall 2021 section 1 Stony Brook University](https://www3.cs.stonybrook.edu/~pfodor/courses/cse114.html)'
    - '[MultiThreading Playlist by Smart Programming in Hindi](https://www.youtube.com/playlist?list=PLlhM4lkb2sEh1pBs0KBb63PlKKqRx6M1a)'
    - '[JavaFX by Bro Code](https://www.youtube.com/watch?v=9XJicRt_FaI)'
    - '[Drawing UML Diagrams](https://www.youtube.com/watch?v=UI6lqHOVHic)'
    - '[Drawing UML Sequence Diagrams](https://youtu.be/pCK6prSq8aw)'
    - '[Drawing Use Case Diagrams](https://www.youtube.com/watch?v=zid-MVo7M-E)'
  DM:
    Resources:
    - '[DM Gate Smashers](https://www.youtube.com/playlist?list=PLxCzCOWd7aiH2wwES9vPWsEL6ipTaUSl3)'
    - '[Mathematics for computer science, Eric Lehman, Albert R Meyer, F Thomson Leighton](https://people.csail.mit.edu/meyer/mcs.pdf)'
    - '[WOP 1](https://www.youtube.com/watch?v=fV3v6qQ3w4A), [WOP 2](https://www.youtube.com/watch?v=I1HpgnWQI7I)'
    - '[Pigeonholes and nest (for assignments ;))](https://www.cut-the-knot.org/do_you_know/pigeon.shtml)'
    - '[Cut the knot (collection of nice math)](https://www.cut-the-knot.org/)'
    - '[DM notes](https://drive.google.com/drive/folders/1lsZc35O1VzskC9VSLlGXl1ZVPm6RZhXP)
      by [(Yash Keswani)](https://github.com/Yash-Keswani)'
  DS:
    Resources:
    - '[DS Cheatsheet by Anirudh](https://github.com/Anirudh-S-Kumar/DS-Theorems)'
    - '[Knowledge GATE DM Playlist (for first half of semester)](https://www.youtube.com/playlist?list=PLmXKhU9FNesRORH5XXsErmamVvUT_zbG4)'
    - '[Graph Theory Playlist - very useful for most proofs and concepts](https://www.youtube.com/playlist?list=PLztBpqftvzxXBhbYxoaZJmnZF6AUQr1mH)'
    - '[Graph Theory Playlist (for some parts which wrath of math playlist does not
      cover)](https://www.youtube.com/playlist?list=PLmXKhU9FNesTpQNP_OpXN7WaPwGx7NWsq)'
  M3:
    Resources:
    - '[Vector Calculus](https://www.youtube.com/playlist?list=PLHXZ9OQGMqxfW0GMqeUE1bLKaYor6kbHa)'
    - '[Full Playlist by Dr. Gajendra Purohit](https://www.youtube.com/playlist?list=PLU6SqdYcYsfIIEY1wEAsVWdW-R_A1-KBJ)'
    - '[Crash Course on Vector Calculus](https://www.youtube.com/watch?v=tAmZ2F8RPmc)'
    - '[Playlist by Dr. S K Gupta (video 1-22 are good)](https://www.youtube.com/playlist?list=PLtKWB-wrvn4nA2h8TFxzWL2zy8O9th_fy)'
    - '[M3 notes](https://drive.google.com/drive/folders/1aY9m0pf3C7222mvO42Gf4CJPuFSimfDF)
      by [(Yash Keswani)](https://github.com/Yash-Keswani)'
    - '[Professor Leonard](https://www.youtube.com/playlist?list=PLDesaqWTN6ESk16YRmzuJ8f6-rnuy0Ry7)'
  OS:
    Resources:
    - '[Full Playlist](https://www.youtube.com/playlist?list=PLEJxKK7AcSEGPOCFtQTJhOElU44J_JAun)'
    - '[OS notes](https://drive.google.com/drive/folders/1mY4kFAOz6_UE47sgLDQOldEs2Ofd6Jqy?usp=sharing)
      by [(Yash Keswani 2020158)](https://github.com/Yash-Keswani)'
    - '[Artix Installation (not sure if follows everything needed)](https://www.youtube.com/watch?v=QzY2T3B4wlo)'
    - '[OS Gate Smashers](https://www.youtube.com/playlist?list=PLxCzCOWd7aiGz9donHRrE9I3Mwn6XdP8p)'
    - '[Concise C Video](https://www.youtube.com/watch?v=3lQEunpmtRA)'
    - '[Ostep: Three easy pieces (which are really easy)](https://pages.cs.wisc.edu/~remzi/OSTEP/)'
    - '[Ostep: Homework (and simulations with solutions in github repo)](https://pages.cs.wisc.edu/~remzi/OSTEP/Homework/homework.html)'
  S&S:
    Resources:
    - '[Full Playlist](https://www.youtube.com/playlist?list=PL1XaeVNXKsvx5QCG7OdYEwRLyDrKUuS6i)'
    - '[Signals and Systems by Engineers ki Pathshala](https://youtube.com/playlist?list=PL9RcWoqXmzaIG-RWneeqDJ-FCt66S15pl&si=mt0kTHoIYy8NJXm5)'
Semester 4:
  ADA:
    Resources:
    - '[Winter''22 Lectures by Prof. Syamantak Das](https://sites.google.com/iiitd.ac.in/ada22/lectures-section-a)'
    - Abdul Bari
    - Pepcoding
    - William Fiset
    - '[ADA notes](https://yash-keswani.github.io/iiitd_notes/CSE222_ADA/) by [(Yash
      Keswani)](https://github.com/Yash-Keswani)'
    - '[A2Z Striver](https://www.youtube.com/playlist?list=PLgUwDviBIf0oF6QL8m22w1hIDC1vJ_BHz)'
    - '[ADA Knowledge Gate One Shot](https://www.youtube.com/watch?v=z6DY_YSdyww)'
  DBMS:
    Resources:
    - '[Programming with Mosh Tutorial MySQL](https://www.youtube.com/watch?v=7S_tz1z_5bA)'
    - '[Knowledge GATE DBMS Playlist](https://www.youtube.com/playlist?list=PLmXKhU9FNesR1rSES7oLdJaNFgmuj0SYV)'
    - '[If you wish to build Flask APIs (short refresher)](https://www.youtube.com/watch?v=Jzv3G5iDLvw)'
    - '[Python MySQL Tutorial by Tech With Tim](https://www.youtube.com/playlist?list=PLzMcBGfZo4-l5kVSNVKGO60V6RkXAVtp-)'
    - '[Manga](https://oberstar.eu.org/share/Documents/The-Manga-guide-to-databases.pdf)'
    - '[DBMS notes](https://yash-keswani.github.io/iiitd_notes/CSE202_DBMS/) by [(Yash
      Keswani)](https://github.com/Yash-Keswani)'
  M4:
    Resources:
    - 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](https://drive.google.com/drive/folders/1tjdm1iKImbfemjHfg-14TMKp846RuD_U) by [(Yash Keswani)](https://github.com/Yash-Keswani)"
  NN:
    Resources:
    - '[NN Notes & Material](https://github.com/kintsugi-programmer/beWarehouse/tree/main/NN) by [(kintsugi-programmer)](https://github.com/kintsugi-programmer)'
  PIS:
    Resources:
    - '[PIS Notes & Material](https://github.com/kintsugi-programmer/beWarehouse/tree/main/PIS) by [(kintsugi-programmer)](https://github.com/kintsugi-programmer)'
  SML:
    Resources:
    - 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.
  TOC:
    Resources:
    - '[Sipser Book](https://drive.google.com/file/d/1E0WxGTzNJTrv9HeTR67EY659hfAKmiHt/view?usp=sharing)'
    - '[Spiser Lectures on YouTube](https://youtube.com/playlist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY)'
    - '[Kozen Book](https://drive.google.com/file/d/1L9elxZtwFrM7g8hI8xxmL_KoSRTNPpLB/view?usp=sharing)'
Open Electives:
  ATP:
    Notes:
    - Late Dropped by Contributor
    Resources:
    - '[Psychological Refractory Period](https://www.youtube.com/watch?v=84uCKEH8Z_U)'
    - '[Stroop Task](https://www.youtube.com/watch?v=reUic5tyVwo)'
    - '[Action Potential](https://www.youtube.com/watch?v=W2hHt_PXe5o)'
    - '[Intracellular & Extracellular Recording](https://www.youtube.com/watch?v=LyBPd53cSPI)'
    - '[fMRI](https://www.youtube.com/watch?v=Bbg_7g_MEAo)'
    - '[Electroencephalography (EEG)](https://www.youtube.com/watch?v=tZcKT4l_JZk)'
  CA:
    Notes:
    - Do all the practice questions and PYQs well, most of the paper is from them.
    Resources:
    # - '[Recorded Lectures]()'
    - '[CA by Princeton](https://youtube.com/playlist?list=PLUDvczyXAbgnY-ij0lzrs-9hzqDocOUfm&si=FhEa7LuX4LXQ2btk)'
    - '[Gem5](https://www.gem5.org/documentation/learning_gem5/introduction/)'
  CG:
    Resources:
    - Peter Shirley, Fundamentals of Computer Graphics (course book, often reffered)
    - Tomas Akenine-Möller, Real Time Rendering - A good reference book for rendering, transformations and textures etc
    - SIGGRAPH Intro to opengl [video](https://www.youtube.com/watch?v=6-9XFm7XAT8)
    - '[learnopengl](https://learnopengl.com/) - Most of the labs are from here'
    - '[Cherno OpenGL playlist](https://www.youtube.com/playlist?list=PLlrATfBNZ98foTJPJ_Ev03o2oq3-GGOS2)'
    - '[CG Notes](https://www.anirudh-s-kumar.github.io/CG-Notes/) by [Anirudh-S-Kumar](https://github.com/Anirudh-S-Kumar)'
    - 'docs.gl'
    - '[CG Lectures by CMU](https://www.youtube.com/playlist?list=PL9_jI1bdZmz2emSh0UQ5iOdT2xRHFHL7E)'
    
  CN:
    Resources:
    - '[Kurose](https://www.youtube.com/@JimKurose)'
    - '[Gate Smashers](https://www.youtube.com/playlist?list=PLxCzCOWd7aiGFBD2-2joCpWOLUrDLvVV_)'
    - '[Computerphile for some topics](https://www.youtube.com/@Computerphile)'
    - '[Kunal Kushwaha](https://www.youtube.com/watch?v=IPvYjXCsTg8)'
    - '[Knowledge Gate](https://youtu.be/q3Z3Qa1UNBA?si=lUORrMr_d8T0fFpJ)'
  COO:
    Resources:
    - '[Stanford Lectures](https://www.youtube.com/playlist?list=PL8WsPW41L6l7rviIGvIkY0-jn-tM3YSNi)'
    - '[Totally Unimodular Matrices](https://www.youtube.com/watch?v=3BPHGeWuAyA)'
    - '[Totally Unimodular Matrices: More Indepth](https://www.youtube.com/watch?v=Fmjy74c-R-I)'
    - '[Convex Cones and Farkas'' Lemma](https://www.youtube.com/watch?v=uBjv6zFIs9M)'
    - '[Fair and Envy-Free Cake Cutting](https://www.youtube.com/watch?v=cBjvsbRu6Gc)'
    - '[Assignment Problem: Integer Linear Programming](https://www.youtube.com/watch?v=NxtXYV1ECVM)'
    - '[Playlist with some stuff on NLPP](https://www.youtube.com/playlist?list=PLm_MSClsnwm8ZKue0FAIDObAVKd3dfBSh)'
    - '[Lecture 15 and 16 for Primal to Dual Conversion](https://www.youtube.com/playlist?list=PL23dd-8zssJAdGmsSofO4UaRyEXZDtm7a)'
    - '[Page 2 for Epigraph related stuff](https://miralab.ai/courses/ML2021Fall/slides/Lec07-ConvexFunctions.pdf)'
    - '[Game Theory Related Stuff](https://www.youtube.com/playlist?list=PLKI1h_nAkaQoDzI4xDIXzx6U2ergFmedo)'
    - '[Sensitivity Analysis](https://www.youtube.com/watch?v=5Pgxo_7bNa8)'
    - '[Game Theory Lectures: The playlist has very good proofs for Sperner''s Lemma
      and Brouwer''s Fixed Point Theorem](https://www.youtube.com/playlist?list=PLdUzuimxVcC0QCFYP0Af3TNldswjL8_ep)'
    - Anti-recommendation --> lecture notes
  CV:
    Resources:
    - '[Stanford Computer Vision Lecture Notes](https://web.stanford.edu/class/cs231a/course_notes.html)'
    - '[CMU 16-385 Slides](https://www.cs.cmu.edu/~16385/)'
  BDA:
    Resources:
    - '[Question Bank](https://drive.google.com/file/d/1Iy3OsTkZaqyqMNiKOwjVhjtcghAG8VC5/view?usp=sharing)'
  DL:
    Resources:
    - '[Stanford CS224N: NLP with Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)'
    - '[Andrew NG - DeepLearningAI](https://www.youtube.com/@Deeplearningai/playlists)'
    - '[D2L-AI](https://d2l.ai/)'
    - '[Deep Learning Foundation and Concept - Bishop](https://www.bishopbook.com/)'
    - Research papers mentioned in slides
  DSCD:
    Resources:
    - '[Distributed Systems - Tanenbaum](https://www.distributed-systems.net/index.php/books/ds3/)'
    - '[RPC/gRPC](https://www.youtube.com/watch?v=gnchfOojMk4)'
    - '[Network Time Protocol (NTP)](https://www.youtube.com/watch?v=BAo5C2qbLq8)'
    - '[RabbitMQ](https://www.youtube.com/watch?v=7rkeORD4jSw&pp=ygUIcmFiYml0bXE%3D)'
    - '[Distributed Systems by Martin Kleppmann (Good Watch)](https://www.youtube.com/playlist?list=PLeKd45zvjcDFUEv_ohr_HdUFe97RItdiB)'
    - '[Sequential and Causal Consistency](https://www.youtube.com/watch?v=dHgvQXnZ7Gw)'
    - '[Dominant Resource Fairness: Fair Allocation of Multiple Resource Types](https://www.usenix.org/conference/nsdi11/dominant-resource-fairness-fair-allocation-multiple-resource-types)'
  DSc:
    Resources:
    - '[Stats Playlist](https://www.youtube.com/playlist?list=PL0o_zxa4K1BVsziIRdfv4Hl4UIqDZhXWV)'
    - '[Hypothesis Testing](https://www.youtube.com/playlist?list=PLTNMv857s9WXg9tRi7wHU9cMgL1x140dO)'
    - '[Some lectures from MIT 6.854 (Advanced Algorithms)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c)'
    - '[JL Lemma](https://www.youtube.com/watch?v=j9qbuGSjzeE)'
    - '[SVD](https://www.youtube.com/watch?v=HAJey9-Q8js)'
    - '[SVD v/s Eigen Values](https://www.youtube.com/watch?v=Ed6CSJbyVak)'
    - '[Statquest](https://www.youtube.com/@statquest)'
  EVS:
    Resources:
    - '[All answers compiled](https://chat.openai.com/)'
  FCS:
    Resources:
    - '[PicoCTF](https://www.picoctf.org)'
    - '[CryptoHack](https://cryptohack.org)'
    - '[Prof Ninja](https://prof.ninja)'
    - Ofcourse, none of the above is "required" for the course and your proficiency
      is inversely proportional to the grade you might obtain
  FF:
    Resources:
    - '[14th and 15th edition of Fundamentals of Financial Management (Eugene F. Brigham,
      Joel F. Houston) along with some question papers of 2023](https://drive.google.com/drive/folders/11Ue8schvq-gOOQx3Mt5VFeVmCIpXKCBb?usp=sharing)'
    - 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.
  GMT:
    Resources:
    - An introduction to game theory, Martin J Osborne (available online)
  GPU:
    Resources:
    - '[Nvidia CUDA programming](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html)'
    - '[Programming Massively Parallel Processors - A Hands-on Approach](https://www.sciencedirect.com/book/9780128119860/programming-massively-parallel-processors)'
    - Other course content like OpenMP/OpenCL | Read the docs
  GT:
    Resources:
    - Introduction to Graph Theory by Douglas B. West
    - Note, the course is not on algorithms
  IR:
    Resources:
    - '[Old IIIT Recordings](https://www.youtube.com/playlist?list=PL9rvax0EIUA7EkcNOiaFdl81ubnfu3Gzc)'
    - '[Indexing and VSM](https://www.youtube.com/playlist?list=PLaZQkZp6WhWwoDuD6pQCmgVyDbUWl_ZUi)'
    - '[Some videos from Mining Massive Datasets Course (Stanford)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV)'
    - '[Naveen Aggarwal''s Playlist (Panjab University)](https://www.youtube.com/playlist?list=PLc8H-pLVIdBVXxAA99dCIA8AJ1qNFXKuN)'
    - '[Information Retrieval and Web Search IISER Kolkata](https://www.youtube.com/playlist?list=PLpwnR8mPhhf8m7L_b9cSRLdjPW2soerAd)'
  ITS:
    Resources:
    - '[Sharam nahi aayi?](https://www.youtube.com/watch?v=dQw4w9WgXcQ)'
    - '[Aayi?](https://www.youtube.com/watch?v=y6120QOlsfU)'
  InT:
    Resources:
    - Handwritten notes of '[Prof. Manuj Mukherjee](https://sites.google.com/view/manuj-mukherjee/teaching)'
    - Reference book is mostly not needed. Attend classes for this course, this might
      be the best course you have seen in the college
  KCES:
    Resources:
    - '[Sharam nahi aayi?](https://www.youtube.com/watch?v=dQw4w9WgXcQ)'
    - '[Aayi?](https://www.youtube.com/watch?v=y6120QOlsfU)'
  ML:
    Resources:
    - '[Mahesh Huddar''s Videos](https://www.youtube.com/watch?v=d3dLRJwtEk4&list=PL4gu8xQu0_5JBO1FKRO5p20wc8DprlOgn)'
    - '[Statquest](https://www.youtube.com/@statquest)'
  NLP:
    Resources:
    - '[NPTEL Course](https://www.youtube.com/playlist?list=PLJJzI13YAXCHxbVgiFaSI88hj-mRSoMtI)'
    - '[Smoothing](https://www.youtube.com/watch?v=GwP8gKa-ij8)'
    - '[Left Recursion/ Left Factoring](https://www.youtube.com/playlist?list=PLmXKhU9FNesSmu-_DKC7APRoFkaQvGurx)'
    - '[Earley Parser](https://www.youtube.com/watch?v=7UsVbTzx_54)'
    - '[Ritvik Math Playlist](https://www.youtube.com/playlist?list=PLvcbYUQ5t0UEK2KAGyUP7JO9K-Arct8OM)'
    - '[Stanford CS224N: NLP with Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)'
    - '[Stanford CS224U: Natural Language Understanding](https://www.youtube.com/playlist?list=PLoROMvodv4rPt5D0zs3YhbWSZA8Q_DyiJ)'
  NSC:
    Notes:
    - Do prev. years
    Resources:
    - '[Neso Academy Playlist](https://www.youtube.com/playlist?list=PLBlnK6fEyqRgJU3EsOYDTW7m6SUmW6kII)'
    - '[RSA (With Extended Euclidean Algorithm)](https://www.youtube.com/watch?v=kYasb426Yjk)'
    - '[Linear Feedback Shift Register](https://www.youtube.com/watch?v=GSIDS_lvRv4)'
    - '[Public Key Cryptography](https://www.youtube.com/watch?v=Ks1pw1X22y4)'
    - '[Key Distribution Center (KDC)](https://www.youtube.com/watch?v=6bUNDR5Zhiw)'
  NSS-1:
    Notes:
    - 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)
    Resources:
    - For Stream and Block Ciphers - [Dan Boneh's YouTube Channel](https://www.youtube.com/@danboneh5297)
    - A very good explanation of [Kerberos](https://www.fortinet.com/resources/cyberglossary/kerberos-authentication)
    - For other cryptographic concepts [Computerphile](https://www.youtube.com/@Computerphile)
    - For SSL/TLS, this [Cloudflare](https://blog.cloudflare.com/keyless-ssl-the-nitty-gritty-technical-details/)
      article, and [this](https://www.thesslstore.com/blog/explaining-ssl-handshake/)
      article for TLS1.2 and TLS1.3
    - For IPSec, this [strongswan](https://docs.strongswan.org/docs/5.9/howtos/ipsecProtocol.html)
      article
    - Buffer Overflow and Format String Vulnerability - [Team bi0s wiki](https://wiki.bi0s.in/pwning/stack-overflow/intro/)
      and [This binary exploitation notes](https://ir0nstone.gitbook.io/notes/types/stack/introduction)
    - Lectures the biggest resource, right after asking the prof for doubts
  NSS-2:
    Notes:
    - 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.
    Resources:
    - '[Tor white paper](https://spec.torproject.org/tor-design)'
    - Lots of papers exist on attacks against Tor. Prof will post resources on gc.
    - '[Active Directory](https://book.hacktricks.xyz/windows-hardening/active-directory-methodology)
      Lots of extra material here as well. Only do what''s necessary'
    - Just attend lectures and read notes. Should be sufficient.
  PB:
    Resources:
    - www.google.com
  PRMP:
    Resources:
    - Slides from '[HIPEC/Prof. Vivek Kumar cse513 offering](https://hipec.github.io/courses/cse513.html)'
    - '[gdb tutorial](https://youtu.be/svG6OPyKsrw?si=dWyQKK72CRmEOp6K) You would
      need it (seriously)'
    - Most of the course is discussing research papers. Additional resources not needed
  QM:
    Resources:
    - JJ Sakurai (Can download online)
    - Physics Libretexts ([Essential Graduate Physics](https://phys.libretexts.org/Bookshelves/Quantum_Mechanics/Essential_Graduate_Physics_-_Quantum_Mechanics_(Likharev)))
    - '[extracts of MIT OCW Lectures](https://ocw.mit.edu/courses/8-06-quantum-physics-iii-spring-2018/a0889c5ca8a479c3e56c544d646fb770_MIT8_06S18ch1.pdf)'
  RL:
    Resources:
    - '[BartoSutton (41MB)](https://www.andrew.cmu.edu/course/10-703/textbook/BartoSutton.pdf)'
    - '[Bertsekas (extra-ref)](https://web.mit.edu/dimitrib/www/RLbook.html)'
    - '[Keypapers in RL](https://spinningup.openai.com/en/latest/spinningup/keypapers.html)'
    - '[UPenn''s DL Course Week 11](https://www.youtube.com/playlist?list=PLYgyoWurxA_8ePNUuTLDtMvzyf-YW7im2)'
    - '[RL Course NTNU](https://www.youtube.com/playlist?list=PLZ_sI4f41TGvthD8dA7daahlbLV0yDW0w)'
    - '[Select Lectures on MDP Stanford CS221](https://www.youtube.com/playlist?list=PLoROMvodv4rOca_Ovz1DvdtWuz8BfSWL2)'
    - '[CS234 Stanford](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u)'
    - '[DeepMind x UCL | Introduction to Reinforcement Learning 2015](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)'
    - '[DeepMind x UCL | Reinforcement Learning Course 2018](https://www.youtube.com/playlist?list=PLqYmG7hTraZBKeNJ-JE_eyJHZ7XgBoAyb)'
    - '[DeepMind x UCL | RL Lecture Series 2021 (Playlist Name has Deep Learning but probably a typo as video names have RL)](https://www.youtube.com/playlist?list=PLqYmG7hTraZDVH599EItlEWsUOsJbAodm)'
    - '[Reinforcement Learning by the Book](https://www.youtube.com/playlist?list=PLzvYlJMoZ02Dxtwe-MmH4nOB5jYlMGBjr)'
    - '[RL Relevant Playlists from CS 486/686 UoT (L18-L21)](https://www.youtube.com/@alicexigao/featured)'
    - '[NPTEL Course - Heard good things online, did not use personally](https://www.youtube.com/playlist?list=PLEAYkSg4uSQ0Hkv_1LHlJtC_wqwVu6RQX)'
  VPM:
    Resources:
    - Essentials of Investments, 12th Edition (Zvi Bodie Professor, Alex Kane etc.)
      [solutions available]
  WN:
    Resources:
    - '[Links I found useful (Not exhaustive)](https://docs.google.com/document/d/18JtS0q05WspxTS7HJcHLuILzdTNV2n9n6fJxxlDpkaM/edit?usp=sharing)'
  iROB:
    Resources:
    - (Peter Corke, Second Edition) Robotics, Vision and Control
    - MATLAB Simulink resources