# in this lecture you will learn the following nptel

2021-07-20T20:07:22+00:00### In this lecture you will learn the following NPTEL

In this lecture you will learn the following Holzer's method of finding natural frequency of a multidegree of freedom system Holzer's Method This method is an iterative method and can be used to determine any number of frequencies for a multidof system Consider a typical multirotor system as shown in Fig 1251 In this lecture you will learn the following Power transfer capability of a network may be limited due inability to control power flow in transmission Congratulations, you have finished Lecture 19 To view the next lecture select it from the left hand side menu of the pageIn this lecture you will learn the following NPTEL Lecture 6 : Dynamics of Reciprocating Machines with Single Slider;Unbalance in Single Cylinder Engine Mechanisms Objectives In this lecture you will learn the following Approximate acceleration analysis of an IC Engine mechanism Equivalent Link model of a connecting rod Estimation of Inertia forces in a crankslider mechanismIn this lecture you will learn the following NPTEL

### In this lecture you will learn the following NPTEL

Lecture 35 : Transverse Vibration of Beams Objectives In this lecture you will learn the following Significance of transverse vibrations of beams Derivation of governing partial differential Natural frequencies and mode shapes So far we studied the axial and torsional vibrations of long, prismatic members We will now study their Lecture 12: Objectives Objectives In this lecture you will learn the following: Till now, we were concerned about the variation of the temperature with only space ( one dimensional or two dimensional) However, in real life, there are various engineering situations where the temperature not only vary with space but also with time Lecture12, Objectives Lecture 1 : Objectives Objectives In this lecture you will learn the following: The science of thermodynamics deals with the amount of heat transfer as a system undergoes a process from one equilibrium state to another, and makes no reference to how long the process will take But in engineering, we are often interested in the rate of heat Lecture 1, Objectives CDEEP

### Lecture 6, Objectives

Lecture 6 : Objectives Objectives In this lecture you will learn the following: One dimensional steady conduction in sphere is introduced The approach is to reduce the heat diffusion equation for the case chosen Using the appropriate boundary conditions, the heat diffusion equation is solved for temperature distribution Objectives In this lecture you will learn the following: The temperature distribution for rectangular fin and pin fin with various boundary conditions is obtained from the general form of the energy equation for an extended surface which is derived in the previous lectureLecture9, Objectives Objectives In this lecture you will learn the following: The aim of this lecture is to understand the Fourier's law of conduction (both physically and mathematically) and introduce various thermal properties like thermal conductivity and thermal diffusivityLecture 3, Objectives

### Lecture14, Objectives

Lecture 14: Objectives Objectives In this lecture you will learn the following: Now, we extend the transient analysis to systems in which the temperature varies with time and space (one dimension) Heat diffusion equations are solved using appropriate boundary and initial conditions for plane wall, cylinder and spheres In this lecture you will learn the following: Seebeck effect and thermoemf Thermoelectric series of metals which can be used to form thermocouples Peltier effect, ie absorption or evolution of heat at junctions of dissimilar metals if a current exists in the circuitNPTEL OnlineIIT BOMBAY In this lecture you will learn the following: Radiation (light) exhibits both wave and particle nature Laws governing black body radiation, like Stefan's law and Wien's law Inadequacy of wave theory in explaining blackbody radiation spectrum Planck's hypothesis on NPTEL OnlineIIT BOMBAY

### NPTEL OnlineIIT BOMBAY

In this Lecture you will learn the following: Outline the electrochemical basis for corrosion Illustrate the use Pourbaix diagrams : Outline the kinetic features involved in the corrosion process List the protective measures against corrosion and highlight the mechanisms involved in the protection Objectives: In this lecture you will learn the following: Why is maintenance of frequency important? An example of typical load and frequency variation in an Indian gridNPTEL OnlineIIT BOMBAYIn the lecture on Multivariate Regression, you learn about using orthogonalization iteratively to obtain regression coefficient This method is generally referred to as Multiple Regression using Successive Orthogonalization In the formulation of the method, we observe that in iteration kk, we regress the entire dataset on z0,z1,zk−1 Introduction to Machine Learning Assignment 2,

### NPTEL » Introduction to Machine Learning

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### Module 2: Sensors and signal processing Lecture 1

NPTEL – Mechanical – Mechatronics and Manufacturing Automation Joint initiative of IITs and IISc – Funded by MHRD Page 1 of 56 Module 2: Sensors and signal processing Lecture 1 Sensors and transducers Measurement is an important subsystem of a mechatronics system Its main function Lecture 1: Introduction to VLSI Design Mark McDermott but you will learn a lot too!! 8/26/18 10 VLSI1 Class Notes Course Information §Class meets Tue/Thu, 14:00–15:30, ECJ 1318 following process covered this course §This course involves a large amount of work throughout theLecture 1: Introduction to VLSI Design NPTEL provides courseware in the form of video lectures and web courses There are more than 350+ Video Courses, more than 12000 video lectures across 10 subjects Most of these courses consists 40 videos and 1 hour duration each You can also get course completion certification for some of the courses They also started providing course 350+ NPTEL Courses with Video Lectures

### NPTEL LECTURES GATE ECE Gateway of Engineering

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### CS 188: Introduction to Artificial Intelligence, Spring

The techniques you learn in this course apply to a wide variety of artificial intelligence problems and will serve as the foundation for further study in any application area you choose to pursue See the syllabus for slides, deadlines, and the lecture scheduleDeep Learning is one of the most highly sought after skills in AI In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and moreCS230 Deep Learning DRAFT 12 OPERATIONS ON SETS 9 In the recursive de nition of a set, the rst rule is the basis of recursion, the second rule gives a method to generate new element(s) from the elements already determined and the third ruleLecture Notes on Discrete Mathematics