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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(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
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