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    Notes:Sample

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    HOW TO BUY NOTES

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    Ans:- Its a very simple process each subject notes are of 100₹ payment option is Paytm: +91 7038604912
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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

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