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@ktuelectronic

SAS

6 PYQ

June 2021
June 2022
June 2023 (2 PYQ)
Jan 2024
May 2024


Signals and Systems ECT204

ECE

KTU 2019 Scheme

Happy Christmas 🎄

PYQ

SAS
CAM
MEMS

Follow this

Guys all the s6 exam date have variations I

b.techs6s,fe2019schemepublish.pdf

Sub: APJAKTU - Detailed Time Table of B.Tech S6 (S,FE) Examination (2019 scheme) December 2024 -
Notification - reg:
The Detailed Time Table of B.Tech S6 (S,FE) Examination (2019 scheme) December 2024 is published
herewith.

അഡ്മിഷൻ തുടരുന്നു....

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🔹 Recorded ക്ലാസുകൾ ആയിരിക്കും ലഭിക്കുന്നത്.

DEMO CLASS കണ്ടതിനു ശേഷം ക്ലാസ്സിൽ ജോയിൻ ചെയ്യാൻ താൽപര്യമുണ്ടെങ്കിൽ ഇതിൽ കാണുന്ന ഫോം പൂരിപ്പിയ്ക്കുക

Updated Official Time Table

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Alert ⚠️ 📢 🚨 ⚠️ 📢

We’re pleased to share some exciting news! The Trivandrum Networking Top Quality Centre, with 22 years of experience in the IT industry, is starting two new batches, next week and in January 2025.

Amazon Web Services (AWS) Course
Start Date: 9th December
Time: 2:00 PM

Azure DevOps Course
Start Date: 11th January (Next Month)

For more details, feel free to visit the Trivandrum office, located near Ayurveda College, 100 meters from the hospital. The office is accessible via Lift No. 4.

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More details contact 8086024800

https://drive.google.com/drive/folders/193LuVNh-XVLWTgVLRh09OKbgtQKwDJUP


ADC Notes
KTU 2019 Scheme

Note : GSOP : On that Module 4 (GSOP question is sure which had asked for 14 marks in every time of ADC Exam) . So don't miss that GSOP Problems.

On My drive I had uploaded. But in that particular Modules 4 Problems answer may be incorrect. And Theory portion are correct .

So You only need To study GSOP in M4 thats enough (My personal suggestions)

PYQ of 3rd Year ECE subject

Questions are also avaliable on Trace KTU Telegram

https://t.me/ktuecnotes3

https://t.me/electronicsandcommunicationsengg/2487

ADC

Control Systems June 2024 PYQ.pdf



CONTROL SYSTEMS

SYLLABUS
NOTES
PYQ

https://drive.google.com/drive/folders/1kL86KF4JhqpLbb8WMSx4zLk-YEmijYea

https://youtu.be/wRZzOkBqtms?si=8nSg6470lia4Egb7


Watch and share maximum
KTU Students

https://youtube.com/playlist?list=PLwP-RlbOGPXtfuc6kHGr_cbGZGDT2SOjg&si=w8KgQ7bvtl9nLSxc

DSP Nov 2024.pdf


PYQ

DSP
ECT303

KTU 2019 Scheme

https://youtu.be/Nq06dItmxec?si=XxHpDKdP1BQEasJe

https://youtu.be/Nq06dItmxec?feature=shared

https://drive.google.com/drive/folders/1kDmLyUc_8EIj63hqdjU8pakcwmiMhWEP

DSP Notes
S5 ECE
KTU 2019 Scheme


Join us @ktuelectronic



All Other Modules will be Uploaded Soon

Within 15th Nov 2024

M1 M3 M4 Upload on 12th Nov 2024

Happy Diwali ❤️ ✨️

"Diwali is a festival of light ✨️" , wish you a Very Happy Diwali 😊❤️✨️ Friends.

https://youtu.be/90FkNMz14h0?si=DIZOxrVJGFPc1LVg

PYQ

Python For Engg


S7

KTU 2019 Scheme


Seventh Semester B.Tech Degree Examination December 2022 (2019 scheme)

https://pythonforengnrs.blogspot.com/2022/09/python-for-engineers-cst-445-ktu-open.html

Scipy
January 20, 2022


SciPy is a Python library of mathematical routines. Many of the SciPy routines are Python “wrappers,” that is, Python routines that provide a Python interface, for numerical libraries and routines originally written in Fortran, C, or C++. Thus, SciPy lets you take advantage of the decades of work that has gone into creating and optimizing numerical routines for science and engineering. Because the Fortran, C, or C++ code that Python accesses is compiled, these routines typically run very fast. Therefore, there is no real downside—no speed penalty—for using Python in these cases.

SciPy provides a plethora of special functions, including Bessel functions (and routines for finding their zeros, derivatives, and integrals), error functions, the gamma function, Legendre, Laguerre, and Hermite polynomials (and other polynomial functions), Mathieu functions, many statistical functions, and a number of other functions. Most are contained in the scipi.special library, and each has its own special arguments and syntax, depending on the vagaries of the particular function

NumPy should be imported with SciPy.
9.1 Special Functions
SciPy provides a plethora of special functions, including Bessel functions
(and routines for finding their zeros, derivatives, and integrals),
error functions, the gamma function, Legendre, Laguerre, and Hermite
polynomials (and other polynomial functions), Mathieu functions,
many statistical functions, and a number of other functions.
Most are contained in the scipi.special library, and each has its own
special arguments and syntax, depending on the vagaries of the particular
function.We demonstrate a number of them in the code below
that produces a plot of the different functions called. For more information,
you should consult the SciPy web site on the scipy.special
library.

Solving systems of linear equations
Solving systems of equations is nearly as simple as constructing a coefficient matrix and a column vector. Suppose you have the following system of linear equations to solve:
2x1+4x2+6x3=4
x1−3x2−9x3=−11

8x1+5x2−7x3=1
Ax=b
A=np.array([[2,4,6],[1,-3,-9],[8,5,-7]])
b=np.array([4,-11,1])
x1,x2,x3=scipy.linalg.solve(A,b)
print(x1,x2,x3)
output
-8.52173913043478 9.695652173913041 -2.9565217391304337

SYLLABUS

https://pythonforengnrs.blogspot.com/2022/09/syllabus.html

MODEL QP

https://pythonforengnrs.blogspot.com/2022/09/model-question-paper.html

Python For Engg Previous Year Question papers 📃


S7


____

*Vector plots
VectorPlot is also known as field plot and direction plot. VectorPlot displays a vector field by drawing arrows. By default the direction of the vector is indicated by the direction of the arrow, and the magnitude is indicated by its color. VectorPlot omits any arrows for which the vi etc.*

Pandas Continued.pdf

CST445 VVImp.pdf

Special Function Numerical and ODE.pdf

CST362 Module 1.pdf

https://pythonforengnrs.blogspot.com/2022/09/python-for-engineers-cst-445-ktu-open.html


=>

PYQ

MODULE WISE NOTES 📝


Some Reference or Notes 📝

Study by keeping an eye on your KTU Syllabus

>>> numpy.array([1,2,3,4])
array([1, 2, 3, 4])
### - simple array creation



>>> numpy.arange(1,100,10)
array([ 1, 11, 21, 31, 41, 51, 61, 71, 81, 91])
### array starting from 1 to 100 with step of 10


>>> numpy.linspace(0,2,10)
array([0. , 0.22222222, 0.44444444, 0.66666667, 0.88888889,
1.11111111, 1.33333333, 1.55555556, 1.77777778, 2. ])
### array of linearly distributed 10 elements between 0 and 2


>>> numpy.logspace(0,2,10)
array([ 1. , 1.66810054, 2.7825594 , 4.64158883,
7.74263683, 12.91549665, 21.5443469 , 35.93813664,
59.94842503, 100. ])
### array of logarithmicly distributed 10 elements between 0 and 2


>>> numpy.zeros(10)
array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
### Array of zeroes

>>> numpy.ones(10)
array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])
### Array of ones

>>> numpy.empty(10)
array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])
### empty gives un-initialized array, It can be of any value.


>>> numpy.eye()
this returns "Identity matrix"
https://www.geeksforgeeks.org/numpy-eye-python/
Identity matrix is equivalent to 1 in matrix arithmatics

Module 4 Programming in Python Notes - Kerala Notes.pdf


I think it's 3rd Modules as per our syllabus . So keep an eye in your KTU syllabus

CST 283 M2 - KQB KtuQbank.pdf