REVA LMS

This course describes:

1. Solve network problems using KCL, KVL, loop and mesh analysis 2. Represent the given network in terms of two-port network 3. Apply the concept of resonance in the design of filter and also to understand the principle behind ZVS and ZCS in a power electronic circuit 4. Calculate the initial and transient conditions in power electronic circuits 5. Develop network of immittance functions 6. Calculate parameters an attenuator for the given specifications and also to analyze attenuation of a probe

This course deals with

1.      Understand safety rules , important tools used in trouble shooting

2.      Understand different types of wires & wire splicing ,

3.      Understand the usage of important electrical meters which are used in the process of trouble shooting.

Discrete Mathematics is the study of discrete objects. Discrete Mathematics is used to develop our ability to understand and create mathematical arguments and also used to provide the mathematical foundation for advanced mathematics and computer science courses.

Graphs (abstract networks) are among the simplest mathematical structures, which are used in most of the areas of Computer Science to solve the complex problems.

    In this course, the student shall learn the basic concepts of Reliability Engineering and apply them to constrain a design. Reliability Engineering is engineering that emphasizes dependability in the life cycle management of a product. The student shall be able to predict the ability of a product or system to perform its required functions without failure for a specified time period and when used under the specified conditions. Engineering and analysis techniques are used to improve the reliability or dependability of a product or system. Reliability engineering falls within the maintenance phase of the software development life cycle (SDLC). The overall aim of the SDLC is to make software and product more reliable.

The course covers the basic principles of electromagnetics: The experimental laws, electrostatics, magnetic fields of steady currents, potential, Laplace’s and Poisson’s law, Maxwell's equations, propagation and radiation of electromagnetic waves. The course mainly deals with understanding the properties of electric and magnetic fields which helps to understand the Maxwell’s equations which are governing communication in any media. The course also gives an insight to generation of electromagnetic waves and to understand their behavior in different media. Fundamentals of Transmission line properties, performance parameters and applications.

An implementation of ADT consists of storage structures to store the data items and algorithms. for basic operation. All the data structures i. array, linked list, stack, queue etc are examples of. ADT.

Data Science is an interdisciplinary, problem-solving-oriented subject that is used to apply scientific techniques to practical problems. The course orients on the preparation of datasets and programming of data analysis tasks. This course covers the topics: Set Theory, Probability theory, Tools for data science, ML algorithms, and demonstration of experiments by using MS-Excel

Engineering chemistry covers very relevant topics compatible with engineering students and make them aware of importance of various aspects of basic science in engineering. The subject of Engineering chemistry covers area of light and matter interaction, clean energy storage and conversion devices, corrosion phenomenon and control which is widely an interdisciplinary subject of discussion. Further the course focus on the chemistry of engineering materials, and various applications. This area of science is very much interdisciplinary in its nature and gives a platform for students to strengthen their engineering knowledge to enlighten on the energy conversion and storage devices, which have become very attractive field of research in engineering stream. The subject deals with various engineering materials, their properties and applications in the field of engineering.

Operations research (OR) is an analytical method of problem-solving and decision-making that is useful in the management of organizations.

System software is a type of computer program that is designed to run a computer's hardware and application programs. If we think of the computer system as a layered model, the system software is the interface between the hardware and user applications. The operating system is the best-known example of system software.

Computer Organization and Architecture Tutorial provides in-depth knowledge of internal working, structuring, and implementation of a computer system.

Python Is a language with a simple syntax, and a powerful set of libraries. It is an interpreted language, with a rich programming environment, including a robust debugger and profiler. While it is easy for beginners to learn, it is widely used in many scientific areas for data. Python is a very powerful programming language used for many different applications. Over time, the huge community around this open-source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier exploration. This course is an introduction to the Python programming for analyzing data for students without prior programming experience

The course introduces some fundamental concepts in automata theory and formal languages including finite automaton, regular expression, formal language, grammar, pushdown automaton, and Turing machine. These form basic models of computation; they are also the foundation of many branches of computer science, e.g. compilers, software engineering, concurrent systems, etc.

This course provides a hands-on comprehensive study of Cloud concepts and capabilities across the various Cloud service models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS)and Software as a Service (SaaS). It gives insight into various cloud infrastructure and management mechanisms. The introduction to Azure App Service and Web Apps is given

The focus in this course is on the World Wide Web as a platform for interactive applications, content publishing and social services. The development of web-based applications requires knowledge about the underlying technology and the formats and standards the web is based upon. The students shall learn about the HTTP communication protocol, the markup languages HTML, XHTML and XML, the CSS and XSLT standards for formatting and transforming web content, interactive graphics and multimedia content on the web, client-side programming using Javascript. Further, topics like CGI, PHP and PERL are also covered

The course introduces machine learning, with various aspects involved in machine learning, types of learning like supervised, unsupervised and reinforcement learning. It also introduces various methods of dimensionality reduction, reasons for dimensionality reduction, concepts of neural networks, different aspects involved in neural networks, their activation function, back propagation algorithm etc.

Computers around the world are systematically being victimized by rampant hacking The goal of the ethical hacker is to help the organization take preemptive measures against malicious attacks by attacking the system himself; all the while staying within legal limits. As technology advances and organization depend on technology increasingly, information assets have evolved into critical components of survival. If hacking involves creativity and thinking ‘out-of-the-box’, then vulnerability testing and security audits will not ensure the security proofing of an organization. To ensure that organizations have adequately protected their information assets, they must adopt the approach of ‘defense in depth’. In other words, they must penetrate their networks and assess the security posture for vulnerabilities and exposure. This course helps develops individuals in the specific network security discipline of Ethical Hacking from a vendor-neutral perspective.

Focuses on concepts and structures necessary to design and implement a database management system. Various modern data models, data security and integrity, and concurrency are discussed. An SQL database system is designed and implemented as a group project

This course describes on how to construct the state model of any given system by using phase variables and physical variables, estimation of Eigen values and Eigen vectors for the given system. Also determine transfer function from the state model. Test the controllability & observability of the given system and determination of the stability of the given non-linear system by Liapunov’s methods

Basic Electrical & Electronics Engineering covers basic concepts of electrical engineering and electromagnetism. This course introduces the student to the working AC and DC Machines. It also helps the student to understand the basics in digital electronics by applying the knowledge of logic gates and learning the applications of diodes in rectifiers, filter circuits. Further, it has a self-learning component on BJT’s.

This course describes

Describe the operation, applications and characteristics of devices BJT. 2. Analyze and design circuits such as amplifiers and oscillators using BJT. 3. Define a Boolean term, expression, SOP, POS, and construct the Kmap/QMT Table for real time application implementation 4. Design arithmetic and combinational logic circuits using gates, encoders, decoders, multiplexers and de-multiplexers. 5. Design specified synchronous or asynchronous sequential logic circuits using appropriate flip flops

1. To recognize the architecture of the 8051 and MSP430 microcontrollers. 2. To be adept at using various inbuilt features and external peripherals based on the requirement. 3. To program the microcontroller IC to suit the application and design simple electronic circuits which could be controlled using the microcontroller. 4. To develop the ability to program any microcontroller knowing the features of the chosen IC and to interface external devices to the microcontroller.

This course describes:

1. Able to understand the concepts of vector calculus and co-ordinate

system.

2. Able to understand the concept of potential and energy density in

the case of static and time varying fields. . Able Coulomb’s law and

Gauss law and their applications in real world applications.

3. Able to understand the steady magnetic field, magnetic materials

and inductance calculation

4. Investigate the electromagnetic phenomenon in a time varying

electric and magnetic fields.

This course describes:

1. Calculate the voltage regulation of alternator 2. Determine the .efficiency of various DC Machines 3. Understand the starting and connecting procedures of synchronous generators, and to obtain the ‘V’ curves of synchronous motors. 4. Obtain the load characteristics of DC Motors and generators 5. Demonstrate the speed control of DC Motor

This course describes:

1. Solve the given problem in object oriented approach and develop a programming solution using C++ language.

2. Develop programs using stacks to solve real time application.

3. Solving real time problems using Queues and List data structures.

4. Design programs using trees and graph data structures to solve real time applications.

1. Acquire a basic knowledge of solid state electronics devices and its characteristics of SCR, IGBT and power MOSFETs. 2. Design circuit using electronic components such as resistors, capacitors, diodes and transistors. 3. Analyze electronic circuits such as control rectifiers, inverters, choppers & ac voltage regulators. 4. Describe the role of Power Electronics as an enabling technology in various applications.

This course describes as:

1. Describe the operation of switch gear and protection system. 2. Classify various types of Circuit Breakers and Relays 3. Explain the theory, construction, advantages and disadvantages of different types of Circuit Breakers and Relays. 4. Describe protection schemes for transformers, alternators and induction motors 5. List the applications of circuit breakers and relays in real life.

1. To Validate the Necessity of Energy Storage and to study various types of storage systems.

 2. To understand the use of fuels for storage Load management, Space conditioning, Transportation, Utility system, Variable energy sources, Role of different energy forms, Energy quality, Energy efficiency, Energy and power densities. 

3. To achieve the ability to converse about the working of a typical fuel cell, its types and to elaborate on its thermodynamics and kinetics. Able to analyze the cost effectiveness and eco-friendliness of Fuel Cells

This course describes

1.      Be able to describe the standard specifications of various electrical equipment.

2.      Be able to describe the standard tests, specifications for installation of various electrical equipment

3.      Be able to describe the commissioning tests on various equipment

This course describes

1.      Represent discrete-time signals analytically and visualize them in the time domain.

2.      Understand convolution sum and integral

3.      Understand the meaning and implications of the properties of systems and signals.

4.      Understand the Transform domain and its significance and problems related to computational complexity.

This course describes 

1.      Express the real world problems into mathematical models

2.      Evaluate the given case study to get the desired results.

3.      Apply theoretical concepts to get transmission and distribution system models.

4.      Interpret the result of stability analysis.

5.      Write the coding for different load flow analysis techniques and also able to verify the results using MIPOWER software.

.    This course describes the

 1.  Select the appropriate renewable energy as an alternate for conventional power in any application.

2.    Design solar PV module for any given application.

3.      Deduce maximum power available in any given location.

4.      Acquire the knowledge of modern energy conversion technologies.

1.      Work with Auto CAD 2D classic and execute the basic commands of auto cad software

2.      Draw the isometric and orthographic views of given objects

3.      Draw the sectional views of Electrical Machines

4.      Differentiate between  single and three phase systems

Axiomatic probability theory, independence, conditional probability.  Discrete and continuous random variables, special distributions of importance to Mechanical Engineering. Expectation simulation of random variables and Curve fitting, basic statistical inference, parameter estimation, hypothesis testing, and linear regression and correlation. Introduction to stochastic processes and Sampling theory.

The field of strength of materials typically refers to various methods of calculating the stresses and strains in structural members, such as beams, columns, and shafts

Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying structure of a material, its properties, its processing methods and its performance in applications.

Thermodynamics is the study of the relations between heat, work, temperature, and energy. The laws of thermodynamics describe how the energy in a system changes and whether the system can perform useful work on its surroundings.

A composite material is a combination of two materials with different physical and chemical properties. When they are combined they create a material which is specialised to do a certain job, for instance to become stronger, lighter or resistant to electricity. They can also improve strength and stiffness.

Kinematics of machines deals with the study of the relative motion of machine parts. It involves the study of position, displacement, velocity and acceleration of machine parts. Dynamics of machines involves the study of forces acting on the machine parts and the motions resulting from these forces.

This course offers step-by-step understanding of required thermodynamic properties to handle such equilibrium ...

In any chemical process, often one encounter interaction between phases where transfer of species takes place from one phase to other. That is there exist several situations of vapor-liquid, liquid-liquid, vapor-liquid-liquid, solid-liquid equilibria in chemical engineering processes. Often these situations are dealt with assumption of ideal behavior and binary systems but in reality non-ideality and multicomponent mixtures exists and accordingly one has to deal with such situations. This course offers step-by-step understanding of required thermodynamic properties to handle such equilibrium cases and explore possible ways of solving problems associated with non-ideality in VLE, LLE, VLLE and SLE for multicomponent mixtures.

Multivariable Calculus and Linear Algebra are two of the most widely used mathematical tools across all scientific disciplines. This course seeks to develop background in both and highlight the ways in which multivariable calculus can be naturally understood in terms of linear algebra. This course includes, Understanding the notions in linear algebra, such as vectors and their spans, matrices and their relationship to linear transformations, subspaces and their bases. To solve and analyse systems of linear equations, and relate the solution set to properties of algebraic objects associated to the system. To analyse the rate of change of a multivariable function in coordinate directions. This course includes differential calculus techniques such as critical points and Lagrange multipliers to solve for constrained local and global extrema.