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SPCC

SPCC

Please fill the form for notes : https://goo.gl/tayDzC

Full course : https://goo.gl/bYHE4v

Topicwise:

Compiler Design Introduction Lecture : https://goo.gl/QWUHLE
Assembler and Assembly Language : https://goo.gl/MGrJZc
Assembly language statement : https://bit.ly/2G6y9MC
Forward reference problem : https://bit.ly/2ujoQDt
Flow chart of two pass assembler : https://goo.gl/TWLNP8
Macros and Macroprocessors : https://goo.gl/8v39jo
Macro vs Subroutine : https://goo.gl/iVhwuw
Macros pass 1 and pass 2 flowchart : https://goo.gl/vDAhUw
Phases of compiler : https://goo.gl/H4VR9y
Eliminate left recursion and left factoring : https://goo.gl/q4HNPE
How to Find First and Follow Basics : https://goo.gl/2GKYXT
First and Follow solved example : https://goo.gl/cFJm72
Predictive Parser : https://goo.gl/THRXME
Predictive Parser part 2 : https://goo.gl/GNM4uG
Recursive Descent parser : https://goo.gl/CNCvQ2
Operator Precedence Parser : https://goo.gl/7pSj2Z
Operator Precedence Parser part 2 : https://goo.gl/UkGFDn
LR Parsing | LR (0) item : https://goo.gl/Uc8RFn
SLR (1) parsing : https://goo.gl/2Xk5es
Examples of LR(0) or SLR(1) : https://goo.gl/nUjH4R
DAG(direct acyclic graph) : https://goo.gl/GVw8Co
CLR1 and LALR1 : https://goo.gl/8jvkcv

VIVA:

spcc basic concept:https://goo.gl/6nuhJx
Forward reference problem and compiler:https://goo.gl/p7o4ts
first and follow:https://goo.gl/vSdWkf

DWM

Sample Notes : https://drive.google.com/file/d/19xmu...
for notes fill the form : https://goo.gl/forms/C7EcSPmfOGleVOOA3
For full course:https://goo.gl/bYbuZ2

Topic wise:

Introduction to Datawarehouse:https://goo.gl/7BnSFo
Meta data in 5 mins :https://goo.gl/7aectS
Datamart in datawarehouse :https://goo.gl/rzE7SJ
Architecture of datawarehouse:https://goo.gl/DngTu7
how to draw star schema slowflake schema and fact constelation:https://goo.gl/94HsDT
what is Olap operation :https://goo.gl/RYQEuN
OLAP vs OLTP:https://goo.gl/hYL2kd
decision tree with solved example:https://goo.gl/nNTFJ3
K mean clustering algorithm:https://goo.gl/9gGGu5
Introduction to data mining and architecture:https://goo.gl/8dUADv
Naive bayes classifier:https://goo.gl/jVUNyc
Apriori Algorithm:https://goo.gl/eY6Kbx
Agglomerative clustering algorithmn:https://goo.gl/8ktMss
KDD in data mining :https://goo.gl/K2vvuJ
ETL process:https://goo.gl/bKnac9
FP TREE Algorithm:https://goo.gl/W24ZRF
Decision tree:https://goo.gl/o3xHgo

PDS

Sample Notes :https://goo.gl/fkHZZ1
PDS notes form : https://goo.gl/forms/Jg0t30H8l2zfHfMJ2
PDS Full course : https://goo.gl/KZHVko

TOPIC WISE:

INTRODUCTION:-https://goo.gl/j4Mzn6
FLYNN’s Classification:-https://goo.gl/2Jx5QX
FENG’s Classifications:-https://goo.gl/3625Tb
Amdahl’s Law:-https://goo.gl/T8rMnL
Pipeline concept:-https://goo.gl/qeie9W
Fixed point Floating point:-https://goo.gl/sAjZaw
Digit product multiplication:-https://goo.gl/DZd4Uy
Sychronization:-https://goo.gl/Df9eQJ
Cristian Algo:-https://goo.gl/Lqp86v
Berkeley’s Algo:-https://goo.gl/Utaspb
NTP Algo:-https://goo.gl/HyKUp6
Logical clock:-https://goo.gl/chrxv9
Lamport Logical clock:-https://goo.gl/vZAC6U
Vector Logical clock:-https://goo.gl/GFq2ac
Lamport non token based:-https://goo.gl/2U1wwB
rickart aggarwala Algo:-https://goo.gl/hf6HV3
raymonds Algo:-https://goo.gl/f67UEQ
Suzuki kasami Algo:-https://goo.gl/BnqtgE
Election Algo:-https://goo.gl/ycdkuJ
RMI:-https://goo.gl/vwYqjs
RPC:-https://goo.gl/3BEYUn

DSP

Full Crash course of DSP :https://goo.gl/Do1ftn

DSP notes form : https://goo.gl/forms/0Fi6Z7xpdVyEXJjr2

check out full series videos of dsp

Digital signal processing Introductions:https://goo.gl/sE1uM5

Find Linear convolution part 1:https://goo.gl/DUfALD

Find Linear Convolution part 2:https://goo.gl/M2LTL3

circular convolution in digital signal processing in hindi: https://goo.gl/egTh1s

cross correlation and auto correlation in DSP:https://goo.gl/B2rA3d

DFT: https://goo.gl/7vJXS2

DFT(Discrete fourier transform) properties in DSP:https://goo.gl/HQ3sTL

DFT matrix method:https://goo.gl/kjk3dU

DIT-FFT(Decimation in time fast fourier transform):https://goo.gl/8mwYK6

sum based on DFT properties in digital signal processing: https://goo.gl/ume5ac

Determine signal is periodic or aperiodic :https://goo.gl/embE3T

Determine signal is linear or non-linear:https://goo.gl/aMBukX

Determine signal is Time varient or Invarient: https://goo.gl/hm43ib

Determine signal is Static or dynamic : https://goo.gl/192RS8

Determine signal is causal or non causal : https://goo.gl/4qqvbQ

Basics of Z-tranform in hindi:https://goo.gl/mDMbgc

We also provide handmade notes :

Sample Notes :https://goo.gl/RYnRTT

BDA

or notes please fill the Form : https://goo.gl/forms/0ROlW6KT0cZtsJYQ2

Introduction to Hadoop part 1 : https://goo.gl/pBEsGN

Introduction to Hadoop part 2 : https://goo.gl/6PQKRF

PCY ( park chen yu) algorithm : https://goo.gl/gVDQFi

Hamming Distance : https://goo.gl/3Yw35X

Cosine Distance : https://goo.gl/VpWxvG

Edit Distance : https://goo.gl/SDMfGo

MACHINE LEARNING

ML notes form : https://goo.gl/forms/7rk8716Tfto6MXIh1

Machine learning introduction : https://goo.gl/wGvnLg

Machine learning #2 : https://goo.gl/ZFhAHd

Machine learning #3 : https://goo.gl/rZ4v1f

Linear Regression in Machine Learning : https://goo.gl/7fDLbA

Logistic regression in Machine learning #4.2 : https://goo.gl/Ga4JDM

decision tree : https://goo.gl/Gdmbsa

K mean clustering algorithm : https://goo.gl/zNLnW5

Agglomerative clustering algorithmn : https://goo.gl/9Lcaa8

Apriori Algorithm : https://goo.gl/hGw3bY

HMI

For full course:https://goo.gl/fJvMee

HMI notes form : https://goo.gl/forms/W81y9DtAJGModoZF3

Topic wise:

HMI(human machine interaction):https://goo.gl/bdZVyu

3 level of processing:https://goo.gl/YDyj1K

Fundamental principle of interaction:https://goo.gl/xCqzoL

Design an KIOSK:https://goo.gl/Z1eizX

Design mobile app and portal sum:https://goo.gl/6nF3UK

Norman Seven stages of action:https://goo.gl/ABrcHR

Qualitative and Quantitative research:https://goo.gl/a3izUE

Interview Techniques for Qualitative Research :https://goo.gl/AYQHhF

SC

Full course : https://goo.gl/PiBsk8

For Notes fill the form : https://goo.gl/toxZfg

Introduction to Soft Computing : https://goo.gl/ReZfmG

Soft computing vs Hard computing : https://goo.gl/zicxCj

Derivation of Unipolar Continues function : https://goo.gl/9GS89u

Derivation of Bipolar Continues function : https://goo.gl/UEFYnj

Alpha (cut) level and Strong (cut) alpha level : https://goo.gl/4BSu3v

Hebbs Network : https://goo.gl/vhe6Mu

Perceptron learning : https://goo.gl/8YUhGX

Optimization techniques : https://goo.gl/DwnS9c

Derivative Free optimization : https://goo.gl/YRJ4uV

Fuzzy membership function : https://goo.gl/gbf7K6

Max min and Max product function : https://goo.gl/KzErk8

Mamdani Fuzzy model Sum : https://goo.gl/ukNMi9

Importan for Soft computing : https://goo.gl/xYsdRB

AI

AI notes form : https://goo.gl/forms/96P5rVFP8pxxqI9j2

Full course :https://goo.gl/k1vBX9

Sample Notes : https://goo.gl/KbvE59

Artificial Intelligence Series in Hindi

Agent and Peas Description :https://goo.gl/e3terP

Types of agent:https://goo.gl/sUyKj8

Breadth first search :https://goo.gl/Uw5JR3

Depth first search : https://goo.gl/3fWYUn

Iterative depth first search : https://goo.gl/jFdu5w

Hill climbing : https://goo.gl/4ZNv8k

Min max: https://goo.gl/UQfneL

Alpha beta pruning : https://goo.gl/sYGHsi

A* sums: https://goo.gl/JZy6AE

Genetic Algorithm : https://goo.gl/zgRqEc

Propsotional Logic : https://goo.gl/QuQbtG

PL to CNF : https://goo.gl/A98Hdw

First order logic :https://goo.gl/npkkai

Decision tree( ID3) : https://goo.gl/qkudtB

Expert system : https://goo.gl/CPfrVx

OS

For Notes fill the forms : https://goo.gl/VdFmeL

Take the full course for free on our website :https://goo.gl/2a47Jg

Topicwise :

Dead Lock avoidence

Bankers Algorithm part 1 :https://goo.gl/j51YYF

Bankers Algorithm part 2 :https://goo.gl/bmwr2v

Cpu scheduling algorithm Sums

FCFS: https://goo.gl/G3HoK8

SJF non preemtive : https://goo.gl/FifC74

SJF preemptive : https://goo.gl/6q6pjC

Priority based : https://goo.gl/Y3o2p7

Round robin : https://goo.gl/7RwQfW

disk Scheduling algorithm Sums

FCFS & SSTF : https://goo.gl/A2aejV

SCAN & CSCAN : https://goo.gl/q8NALA

LOOK & CLOOK : https://goo.gl/JjvLsJ

Page replacement Sums

FIFO ,LRU and Optimal : https://goo.gl/yuisq4

11- CSS

FOR full course visit : https://goo.gl/KVDoBz

Sample Notes :https://goo.gl/QpZPF5

FOR NOTES FILL THE FORM : https://goo.gl/VYiipk

Cryptography and security systems Series

introduction to CSS: https://goo.gl/tjrh1L

security goals and mechanism:https://goo.gl/uq35hP

symmetric cipher:https://goo.gl/KFxF9j

Substitution cipher and its types:https://goo.gl/MKmPzk

Transposition cipher:https://goo.gl/uHqD7i

diffie -hellman: https://goo.gl/YrskC5

RSA Algorithm:https://goo.gl/KwzCBF

Kerberos:https://goo.gl/MQPgzw

IDEA algorithm : https://goo.gl/PTCqFH

Dos and DDos attack: https://goo.gl/8T345G

SQL injection:https://goo.gl/bcVHnw

SHA-1 vs MD5 :https://goo.gl/QJBhJD

IP

For Notes Fill the form: https://goo.gl/RKeXiz

for full course visit :https://goo.gl/yjevWy

sample notes : https://goo.gl/nPxS9C

image processing Lectures Series

image processing introduction : https://goo.gl/ps7CfM

Linear stretching : https://goo.gl/duQxD9

Histogram Equalization : https://goo.gl/p9kRSe

IGS: https://goo.gl/U1LXGP

Opening closing: https://goo.gl/N5duFz

Hit and miss :https://goo.gl/u8dCu3

Bit plane slicing : https://goo.gl/vhB7Gz

DFT in image processing : https://goo.gl/rjXg94

DIT-FFT in image processing: https://goo.gl/5t6EPg

Hadamard Transform : https://goo.gl/Yg5sLt

Walsh Transform : https://goo.gl/BC4vMT

Dilation and erosion :https://goo.gl/BZvPN1

DCT : https://goo.gl/hCUKYE

Haar Transform : https://goo.gl/MZh6ZZ

DIF-FFT in image processing : https://goo.gl/sbjzgB