KTU Learn
KTU Learn
KTU S4 Electronics
Computer Organization
Module 1&2 Videos Will be Coming Soon
Module 1
Module 2
Module 3
Module in Brief
MIPS addressing mode - I
MIPS addressing mode - II
MIPS addressing mode - III
MIPS memory map
MIPS instructions - I
MIPS instructions - II
Module 4
Basics of mips architecture - I
Basics of mips architecture - II
Design process of single cycle processor - I
Design process of single cycle processor - II
Single cycle data path - I
Single cycle data path - II
Single cycle control of R type arithmetic/logic operation
Design process of multicycle processor
Multicycle Datapath
Multicycle control for R type arithmetic/logic instruction
Module 5
Direct memory access
Modes of data transfer
Standard i/o interface
Memory system hierarchy
Memory characteristics
Semiconductor memories
Memory cells
Memory chip organization
Primary and secondary memory
Module 6
Memory hierarchy - I
Memory hierarchy - II
Cache memory intro - I
Cache memory intro - II
Cache memory
Cache direct mapping - I
Cache direct mapping - II
Cache associative mapping
Cache set associative mapping
Cache performance
VM Address translation
Page table
Memory protection
ACE
Analog Communication Engineering
Module 1
Module 2
Module 3
Single side band modulation principle
SSB generation phasing method
SSB generation filter method
SSB generation third method
SSB reception
Pilot carrier ISB
Module 4
FREQUENCY MODULATION - I
FREQUENCY MODULATION - II
Frequency Spectrum -I
Frequency Spectrum -II
Frequency Spectrum -III
Frequency Spectrum -IV
Difference b/w AM and FM
Sinusoidal FM
Super heterodyne receiver - I
Super heterodyne receiver - II
Automatic gain control
Module 5
Phase modulation
Equivalence b/w PM and FM
Digital phase Modulation
Fm transmitter direct method
Fm transmitter indirect method
Module 6
Brief
Slope detector and balanced detector
Slope detector and balanced detector(HINDI)
Foster seeley discrimination
PLL demodulator
Noise in fm systems(HINDI)
Pre emphasis and deemphasis(HINDI)
Analog Integrated Circuit
Module 1&2 Videos Will be Coming Soon
Module 1
Module 2
Module 3
Voltage to current converter
Current to voltage coverter
Integrator
Differentiator
Precision rectifier
Log and antilog amplifier
Phase shift oscillator
Wein bridge oscillator
Module 4
Astable multivibrator
Monostable multivibrator
Triangle and sawtooth generator
Comparator
Zero crossing detector
Schmitt trigger - I
Schmitt trigger - II
Advantages of active filters
First order low pass filter
2nd order low pass filter
First order high pass filter
2nd order high pass filter
Bandpass filter and band stop filter
Butterworth filter approximation - I
Butterworth filter approximation - II
Module 5
Astable multivibrator - I
Astable multivibrator - II
Monostable multivibrator
Analogue multiplier
Gilbert multiplier - I
Gilbert multiplier - II
Phase locked loop - I
Phase locked loop - II
Phase locked loop - III
Phase locked loop - IV
PLL IC 565
AM detection
FM detection - I
FM detection - II
Frequency synthesizer
Voltage regulators using 78xx and 79xx
Voltage regulators using IC 723
Module 6
A/D converters, specifications
Weighted resistor type
R-2R ladder type
Flash type
Counter type
Successive approximation
Single slope and dual slope ADC
Sample and hold circuits
Signals and Systems
Module 1&2 Videos Will be Coming Soon
Module 1
Module 2
Module 3
Trignometric fourier series
Exponential fourier series
Properties of continous time signals - I
Properties of continous time signals - II
Properties of continous time signals - III
Properties of continous time signals - IV
Properties of continous time signals - V
Properties of continous time signals - VI
Properties of continous time signals - VII
Convergence of fourier transform
Introduction to continuous Fourier Transform
Properties of Fourier transform 1
Properties of Fourier transform 2
Relation between Fourier and parsvel
Laplace Transform
Relation between fourier and laplace transform
Module 4
Analysis of LTI systems with DE and both tranforms with examples - I
Analysis of LTI systems with DE and both tranforms with examples - II
Analysis of LTI systems with DE and both tranforms with examples - III
Analysis of LTI systems with DE and both tranforms with examples - IV
NPTEL
Sampling of continous time signals and sampling theorem
Aliasing and nyquist sampling rate
Module 5
Z transform and Roc - I
Z transform and Roc - II
Unilateral Z transform
Discrete time fourier series and properties - I
Discrete time fourier series and properties - II
Discrete time fourier series and properties - III
Frequency domain representation of discrete time signals
Discrete fourier transform basics and properties - I
Discrete fourier transform basics and properties - II
Module 6
Relation between DTFT and Z transform
Analysis of LTI system using z transform
Transfer function
Magnitude and phase response
Frequency response
Maths
Module 1&2 Videos Will be Coming Soon
Module 1
Module 2
Module 3
Joint probability, Discrete and continues - I
Joint probability, Discrete and continues - II
Marginal distribution
Independent random variables
Expectation involving two or more random variable
Covarience of pairs of random variables
Central limit theorem
Module 4
Random process,types and mean of random processes
Covariance
Correlation
Wide sense stationary process
Auto correlation
Power spectral density and it's properties
Module 5
Poisson process-properties, probability of inter arrival times - I
Poisson process-properties, probability of inter arrival times - II
Discrete time markov chain-transistion probability matrix - I
Discrete time markov chain-transistion probability matrix - II
Discrete time markov chain-transistion probability matrix - III
Discrete time markov chain-transistion probability matrix - IV
Discrete time markov chain-transistion probability matrix - V
Discrete time markov chain-transistion probability matrix - I (Hindi)
Discrete time markov chain-transistion probability matrix - II (Hindi)
Chapman kolmogorov theorem
Computation of probability Distribution and higher order transistion probabilities
Stationary distribution
Module 6
GAUSS ELIMINATION METHOD
GAUSS SEIDAL ITERATION METHOD
NUMERIC INTEGRATION (upto 5.18min)
NUMERIC INTEGRATION (upto 8.49min)
EULER METHOD Working Rule
EULER METHOD Problem
RUNGE-KUTTA METHOD Working Rule
RUNGE-KUTTA METHOD Problem
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