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Renewable Energy Engineering is an interdisciplinary course that equips students with the technical knowledge and practical skills required to develop sustainable energy solutions for a clean and resilient future. The subject emphasizes the scientific principles, engineering technologies, and system integration approaches associated with renewable energy sources such as solar, wind, hydro, geothermal, biomass, tidal, and emerging alternatives.
Pavan
Analog electronic circuits process continuous signals, varying smoothly in amplitude or frequency, representing real-world phenomena like sound, temperature, or pressure.
Abraham
Environmental Quality Monitoring & Analysis" is a field focused on assessing and managing the quality of the environment, primarily through the collection and analysis of data related to air, water, and soil.
Abraham
Automobile Engineering is a specialized branch of mechanical engineering that focuses on the design, development, manufacturing, and maintenance of automobiles and their subsystems. This course aims to build a strong foundation in vehicle mechanics, dynamics, power systems, transmission technologies, control systems, safety features, and emerging automotive technologies such as electrification, automation, and connectivity.
Pavan
This module introduces students to the fundamentals of oscillatory motion, beginning with simple harmonic motion (SHM) and extending into more complex real-world systems including damped and forced oscillators. It provides a deep conceptual understanding of mechanical and electrical oscillators, using mathematical modeling, phasor representation, and energy analysis. Emphasis is placed on the behavior of underdamped, overdamped, and critically damped systems, as well as resonance and power absorption in forced systems. The analogies drawn between mechanical and electrical oscillators help bridge physics with engineering applications, making this module foundational for courses in vibrations, acoustics, mechatronics, and control systems.
Pavan
Control System in engineering, focusing on concepts like feedback, open-loop and closed-loop systems, system modeling, transfer functions, and analysis in time and frequency domains. The course includes stability techniques, PID controller design, and explores linear, non-linear, analog, and digital systems through simulations, practical applications, and hands-on exercises.
Pavan
Computer Architecture This course trains students to use tools like Icarus Verilog, GNU Toolchain, and GTKWave for labs. Students write Armv8-A AArch64 assembly, simulate using Arm Education Core, analyze instruction encoding, implement pipeline stages, resolve RAW hazards, handle control hazards, and estimate Power, Performance, and Area metrics effectively.
Pavan
This course equips engineering students with essential mathematical tools for modeling and analyzing complex physical systems. It is divided into three core modules: Partial Differential Equations (PDEs): Students learn to formulate and solve first and second-order PDEs, classify them, and apply methods such as D’Alembert’s solution, Duhamel’s principle, and separation of variables. Applications include heat conduction, wave propagation, and vibrational problems in mechanical and thermal systems. Probability Theory: This section introduces foundational concepts like random variables, probability distributions, expectation, and moments. It also covers key discrete and continuous distributions relevant to real-world data modeling. Statistics: Focused on data interpretation, students explore sampling, estimation, hypothesis testing, correlation, and regression analysis—crucial for engineering applications involving uncertainty and decision-making under variability. Together, these modules provide the analytical backbone needed for advanced subjects in fluid dynamics, thermodynamics, signal processing, and beyond.
Pavan
This course introduces students to the fundamentals and advanced techniques of computer-aided design (CAD) and analysis. It focuses on the geometric modeling of components, assemblies, and systems using modern CAD software. Emphasis is placed on the integration of Finite Element Analysis (FEA) tools for stress, thermal, and dynamic simulations to predict real-world behavior of mechanical parts and assemblies. Students will gain practical skills in 2D drafting, 3D modeling, meshing, and result interpretation, preparing them for design validation and optimization in engineering applications.
Pavan
Applied Thermodynamics builds upon the foundational principles of classical thermodynamics to analyze real-world engineering systems involving energy conversion and fluid flow. The course focuses on the thermodynamic analysis of power-producing and power-consuming devices such as internal combustion engines, gas turbines, steam power plants, compressors, and nozzles. Emphasis is placed on combustion processes, the behavior of pure substances and ideal gases, property relations, and the application of the first and second laws to open and closed systems. Key topics include fuel types and combustion stoichiometry, energy balances in reacting systems, entropy and availability analysis, psychrometrics, and thermodynamic cycles such as Otto, Diesel, Rankine, and Brayton. The course also introduces the principles of chemical equilibrium and the use of real gas models where appropriate. Through theoretical derivations, practical examples, and numerical problem-solving, students gain the ability to evaluate and optimize thermal systems for efficiency and performance.
Pavan
"Manufacturing Processes" explores the fundamental methods and technologies used in the transformation of raw materials into finished products. The subject provides in-depth knowledge of various manufacturing techniques such as casting, forming, machining, joining, and advanced manufacturing (like additive manufacturing). It emphasizes material behavior, process selection, tool design, and quality control, equipping students with the theoretical and practical understanding required to optimize production systems in mechanical and industrial engineering domains
Pavan
Fluid Mechanics & Hydraulic Machines is a foundational course in mechanical engineering that focuses on the behavior of fluids (liquids and gases) at rest and in motion, and the practical applications of fluid dynamics in engineering systems. The subject introduces the fundamental principles governing fluid flow, including concepts such as pressure, viscosity, flow rate, conservation of mass and momentum, and energy equations. The course covers analytical methods to study incompressible and compressible flows, laminar and turbulent regimes, and flow through pipes and channels. Emphasis is placed on understanding and applying Bernoulli’s equation, the continuity and momentum equations, and dimensional analysis. In the hydraulic machines portion, students explore the working principles, design, and performance analysis of devices such as pumps, turbines, and hydraulic systems. Topics include impact of jets, Pelton, Francis and Kaplan turbines, centrifugal and reciprocating pumps, and model testing using similarity laws. By the end of this course, students gain the theoretical background and practical insight necessary to analyze fluid systems and hydraulic machinery, which are critical in industries ranging from power generation and water supply to aerospace and process engineering.
Pavan
A Numerical Techniques course for Electrical Engineering students focuses on solving mathematical problems using numerical methods. Key topics include error analysis, interpolation, numerical integration, solving systems of linear equations, algebraic equations, and ordinary differential equations, providing essential tools for engineering problem-solving and analysis.
Pavan
This course explores low-power circuit design, focusing on the integration of CMOS and FinFET technologies. Students will study principles, techniques, and challenges in designing energy-efficient circuits. Topics include low-power strategies, optimization, and practical considerations. Students will gain skills in designing circuits with minimal power consumption through theory, simulations, and hands-on projects
Pavan
This course explores CAD algorithms for VLSI circuit design, focusing on automation, optimization, and verification. Students learn logic synthesis, physical design, and verification techniques, gaining hands-on experience with industry tools. Emphasis is on algorithmic efficiency and solving complex design challenges using advanced CAD tools.
Pavan
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