Merge pull request #47 from Wadedacoder/main

Added CA, Updated CG and DL
aflah02 · Dec 11, 2024 · d36802a · d36802a
2 parents e9df4fd + 3cbc311
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diff --git a/README.md b/README.md
@@ -34,7 +34,7 @@ The repository contains resources for IIITD courses. You can access the resource
 | [Semester 2](#semester-2) | [BE](#be) [CO](#co) [DSA](#dsa) [P&S](#ps) |
 | [Semester 3](#semester-3) | [AP](#ap) [DM](#dm) [DS](#ds) [M3](#m3) [OS](#os) [S&S](#ss) |
 | [Semester 4](#semester-4) | [ADA](#ada) [DBMS](#dbms) [M4](#m4) [NN](#nn) [PIS](#pis) [SML](#sml) [TOC](#toc) |
-| [Open Electives](#open-electives) | [ATP](#atp) [CG](#cg) [CN](#cn) [COO](#coo) [CV](#cv) [BDA](#bda) [DL](#dl) [DSCD](#dscd) [DSc](#dsc) [EVS](#evs) <br><br>[FCS](#fcs) [FF](#ff) [GMT](#gmt) [GPU](#gpu) [GT](#gt) [IR](#ir) [ITS](#its) [InT](#int) [KCES](#kces) [ML](#ml) <br><br>[NLP](#nlp) [NSC](#nsc) [NSS-1](#nss-1) [NSS-2](#nss-2) [PB](#pb) [PRMP](#prmp) [QM](#qm) [RL](#rl) [VPM](#vpm) [WN](#wn) <br><br>[iROB](#irob) |
+| [Open Electives](#open-electives) | [ATP](#atp) [CA](#ca) [CG](#cg) [CN](#cn) [COO](#coo) [CV](#cv) [BDA](#bda) [DL](#dl) [DSCD](#dscd) [DSc](#dsc) <br><br>[EVS](#evs) [FCS](#fcs) [FF](#ff) [GMT](#gmt) [GPU](#gpu) [GT](#gt) [IR](#ir) [ITS](#its) [InT](#int) [KCES](#kces) <br><br>[ML](#ml) [NLP](#nlp) [NSC](#nsc) [NSS-1](#nss-1) [NSS-2](#nss-2) [PB](#pb) [PRMP](#prmp) [QM](#qm) [RL](#rl) [VPM](#vpm) <br><br>[WN](#wn) [iROB](#irob) |
 
 ## Semester 1
 ### COM
@@ -243,13 +243,20 @@ The repository contains resources for IIITD courses. You can access the resource
 - [fMRI](https://www.youtube.com/watch?v=Bbg_7g_MEAo)
 - [Electroencephalography (EEG)](https://www.youtube.com/watch?v=tZcKT4l_JZk)
 
+### CA
+> Do all the practice questions and PYQs well, most of the paper is from them.
+- [CA by Princeton](https://youtube.com/playlist?list=PLUDvczyXAbgnY-ij0lzrs-9hzqDocOUfm&si=FhEa7LuX4LXQ2btk)
+- [Gem5](https://www.gem5.org/documentation/learning_gem5/introduction/)
+
 ### CG
 - 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
 - [Kurose](https://www.youtube.com/@JimKurose)
@@ -283,6 +290,9 @@ The repository contains resources for IIITD courses. You can access the resource
 ### DL
 - [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
 - [Distributed Systems - Tanenbaum](https://www.distributed-systems.net/index.php/books/ds3/)

diff --git a/docs/index.md b/docs/index.md
@@ -34,4 +34,4 @@ The repository contains resources for IIITD courses. You can access the resource
 | [Semester 2](semester-2) | [BE](semester-2#be) [CO](semester-2#co) [DSA](semester-2#dsa) [P&S](semester-2#ps) |
 | [Semester 3](semester-3) | [AP](semester-3#ap) [DM](semester-3#dm) [DS](semester-3#ds) [M3](semester-3#m3) [OS](semester-3#os) [S&S](semester-3#ss) |
 | [Semester 4](semester-4) | [ADA](semester-4#ada) [DBMS](semester-4#dbms) [M4](semester-4#m4) [NN](semester-4#nn) [PIS](semester-4#pis) [SML](semester-4#sml) [TOC](semester-4#toc) |
-| [Open Electives](open-electives) | [ATP](open-electives#atp) [CG](open-electives#cg) [CN](open-electives#cn) [COO](open-electives#coo) [CV](open-electives#cv) [BDA](open-electives#bda) [DL](open-electives#dl) [DSCD](open-electives#dscd) [DSc](open-electives#dsc) [EVS](open-electives#evs) <br><br>[FCS](open-electives#fcs) [FF](open-electives#ff) [GMT](open-electives#gmt) [GPU](open-electives#gpu) [GT](open-electives#gt) [IR](open-electives#ir) [ITS](open-electives#its) [InT](open-electives#int) [KCES](open-electives#kces) [ML](open-electives#ml) <br><br>[NLP](open-electives#nlp) [NSC](open-electives#nsc) [NSS-1](open-electives#nss-1) [NSS-2](open-electives#nss-2) [PB](open-electives#pb) [PRMP](open-electives#prmp) [QM](open-electives#qm) [RL](open-electives#rl) [VPM](open-electives#vpm) [WN](open-electives#wn) <br><br>[iROB](open-electives#irob) |
+| [Open Electives](open-electives) | [ATP](open-electives#atp) [CA](open-electives#ca) [CG](open-electives#cg) [CN](open-electives#cn) [COO](open-electives#coo) [CV](open-electives#cv) [BDA](open-electives#bda) [DL](open-electives#dl) [DSCD](open-electives#dscd) [DSc](open-electives#dsc) <br><br>[EVS](open-electives#evs) [FCS](open-electives#fcs) [FF](open-electives#ff) [GMT](open-electives#gmt) [GPU](open-electives#gpu) [GT](open-electives#gt) [IR](open-electives#ir) [ITS](open-electives#its) [InT](open-electives#int) [KCES](open-electives#kces) <br><br>[ML](open-electives#ml) [NLP](open-electives#nlp) [NSC](open-electives#nsc) [NSS-1](open-electives#nss-1) [NSS-2](open-electives#nss-2) [PB](open-electives#pb) [PRMP](open-electives#prmp) [QM](open-electives#qm) [RL](open-electives#rl) [VPM](open-electives#vpm) <br><br>[WN](open-electives#wn) [iROB](open-electives#irob) |
diff --git a/docs/open-electives.md b/docs/open-electives.md
@@ -8,13 +8,21 @@
 - [fMRI](https://www.youtube.com/watch?v=Bbg_7g_MEAo)
 - [Electroencephalography (EEG)](https://www.youtube.com/watch?v=tZcKT4l_JZk)
 
+### CA
+> Do all the practice questions and PYQs well, most of the paper is from them.
+
+- [CA by Princeton](https://youtube.com/playlist?list=PLUDvczyXAbgnY-ij0lzrs-9hzqDocOUfm&si=FhEa7LuX4LXQ2btk)
+- [Gem5](https://www.gem5.org/documentation/learning_gem5/introduction/)
+
 ### CG
 - 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
 - [Kurose](https://www.youtube.com/@JimKurose)
@@ -48,6 +56,9 @@
 ### DL
 - [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
 - [Distributed Systems - Tanenbaum](https://www.distributed-systems.net/index.php/books/ds3/)

diff --git a/resources.yaml b/resources.yaml
@@ -218,14 +218,24 @@ Open Electives:
     - '[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)'
@@ -260,6 +270,9 @@ Open Electives:
     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/)'