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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
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
System on Chip This course focuses on designing low-cost, efficient SoCs for IoT using Arm Cortex-M0 processors. Students explore the complete SoC development cycle—specification, design, implementation, and testing—on FPGAs. Emphasis is placed on meeting performance, power, and area constraints using standard hardware description and software programming languages for real-world prototyping.
Pavan
This course teaches embedded Linux system development, focusing on configuring the Linux kernel and writing custom peripheral drivers. Students gain hands-on experience with Linux architecture, building embedded systems, and debugging and profiling applications. Ideal for aspiring embedded engineers, it addresses growing industry demand across consumer, automotive, and industrial applications.
Pavan
Instrumentation & Sensor Technologies for Civil Engineering Applications is a vital subject addressing the selection, deployment, and integration of advanced sensors and measurement systems for monitoring, assessment, and control in civil engineering projects. This course covers the theory, design, and practical use of instruments and sensor networks to obtain accurate, real-time data essential for ensuring the safety, durability, and efficiency of structures and infrastructure.
Pavan
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
ICSE Class 12 English Elective is a specialized course focusing on in-depth analysis of English literature, including prose, drama, and poetry.
Abraham
Design and analysis of algorithms is a field of computer science focused on creating efficient and effective problem-solving procedures (algorithms) and analyzing their performance.
Abraham
This course introduces foundational concepts of electronic devices and their practical applications in modern electrical and electronic systems. Starting with semiconductor physics, it explores the behavior and characteristics of diodes, rectifiers, and Zener regulators. Students gain hands-on understanding of power supplies using 78XX/79XX series ICs, followed by an in-depth study of bipolar junction transistors (BJTs) and their use as amplifiers. The course emphasizes the role of electronic components in circuit design, frequency response, and signal conditioning—forming a core base for future subjects in communication, instrumentation, and embedded systems.
Pavan
Pavement Materials covers the study of materials used in road construction, including their properties, performance, and suitability for various pavement types. It emphasizes testing methods, durability, and selection for optimal structural and functional performance.
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
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
Design and analysis of algorithms is a field of computer science focused on creating efficient and effective problem-solving procedures (algorithms) and analyzing their performance. It involves understanding how to develop algorithms that are both correct and optimal in terms of time and space complexity
Abraham
This course will cover basic concepts in the design and analysis of algorithms. Asymptotic complexity, O() notation Sorting and search Algorithms on graphs: exploration, connectivity, shortest paths, directed acyclic graphs, spanning trees Design techniques: divide and conquer, greedy, dynamic programming Data structures: heaps, union of disjoint sets, search trees Intractability
Abraham
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