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Applied Chemistry for Smart Systems (CSE) 1BCHES102

Module-wise notes, PYQs, and a built-in resource explorer — everything you need to crack 1BCHES102 in one focused page.

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Code1BCHES102
Credits03
CIE / SEE50 / 50
TypeTheory
Exam3 Hours
Hours / Week2:2:2:0
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Last Updated:  15 March 2026

Syllabus Overview

M1

Module 1: Functional Materials for Memory and Display Systems Memory Devices

Introduction, organic semiconductors; types of organic semiconductors used in memory devices, p -type semiconductor -pentacene and n -type semiconductor perfluoropentacene. Differences between organic and inorganic memory devices. Construction, working and advantages of pentacene semiconductor chip. Resistive RAM (ReRAM) Materials: Introduction, synthesis of TiO₂ -RAM nanomaterial by sol-gel method, properties and applications. Display Systems: Introduction, liquid crystals (LCs) -classification, properties and its applications. Construction, working principle and applications of Light Emitting Diodes (LEDs), Organic Light Emitting Diodes (OLEDs), Active -Matrix Organic Light Emitting Diodes (AMOLEDs) and Quantum Light Emitting Diodes (QLEDs).

M2

Module 2: Quantum Materials and Polymers Quantum Dots

Introduction, size dependent properties -quantum confinement effect, surface-to-volume ratio & band gap. Synthesis of Cd -Se Quantum dots by wet chemical method and its applications. Construction, working principle and applications of quantum dot sensitized solar cells (QDSSCs). Polymer: Introduction, number average and weight average molecular weight of the polymers and numerical problems . Structure-properties relationship of polymers (Crystallinity, Strength, Elasticity and chemical resistivity]. Synthesis and properties of nylon 6,6 and its advantages in 3D printing applications. Synthesis and properties of chlorinated polyvinyl chloride (CPVC), and polymethyl methacrylate (PMMA) and their uses in device applications. Conducting polymers- Introduction, synthesis of polyaniline, conduction mechanism and its engineering applications.

M3

Module 3: Sustainable Energy Systems Energy Systems

Introduction, basic overview of Nerns ’t equation, construction and working of concentration cell and numerical problems. Batteries -classification of batteries, construction, working and applications of Li-Ion battery. 2 Next-Generation Energy Devices: Introduction, construction and working of sodium ion battery for EV applications. Construction and working of ultra -small asymmetric super capacitor and its applications in IoT/wearable devices. Sustainable Energy Devices: Introduction, fuel cells, difference between fuel cell and battery. C onstruction, working principle, applications and limitations of solid -oxide fuel cell (SOFCs) and solar photovoltaic cell (PV cell). Production of green hydrogen by photocatalytic water splitting by TiO2 catalyst and its advantages.

M4

Module 4: Sensors and Corrosion Science Sensors

Introduction, terminologies -Transducer, Actuators and Sensors. Conductometric sensor-principle, construction and its application in the estimation of acid mixture. Colorimetric sensor-principle, instrumentation and its application in the estimation of copper in PCB. Electrochemical gas sensors - principle, construction and its application in the detection of NOx and SOx in air sample. Biosensor -principle, construction and working for the detection of glucose in biofluids. Corrosion: Introduction, electrochemical theory of corrosion, types of corrosion-differential metal and differential aeration corrosion -waterline and pitting corrosion . Corrosion controlgalvanization and anodization. Vapour corrosion inhibitors for protecting computer circuit boards, corrosion penetration rate (CPR)-definition and numerical problems.

M5

Module 5: Green Materials and E-Waste Management Green Chemistry

Introduction, properties and applications of green solvents for server heat management. Synthesis and properties of glycerol trioleate ester and its uses in IT infrastructure applications. Green synthesis of ZnO nanoparticles and its uses in magnetic Radio Frequency Identification (RFID) and Internet of Nano Things (IONT) system applications. Biomaterials: Introduction, synthesis and properties of polylactic Acid (PLA) and polyethylene glycol (PEG) and its uses in touch screen applications. Synthesis and properties of Alginate Hydrogel and its uses in Brain-Computer Interfaces (BCIs) applications. E-waste: Introduction, sources, composition of e -waste, effects of e -waste on environment and human health, Artificial intelligence in e -waste management, extraction of gold from e waste by bioleaching method.

Textbooks & Resources

  • Engineering Chemistry, Suba Ramesh, Vairam, Ananda Murthy, 2011, Wiley India, ISBN: 19880.
  • A Textbook of Engineering Chemistry, R.V. Gadag and Nityananda Shetty, I. K. International Publishing house. 2nd Edition, 2016.
  • Engineering Chemistry: Jain & Jain, Publisher: Dhanpat Rai Publishing Company, ISBN: 978 -

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Frequently Asked Questions

What is 1BCHES102 (Applied Chemistry for Smart Systems (CSE))?

Applied Chemistry for Smart Systems (CSE) (1BCHES102) is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.

How many credits is 1BCHES102?

Credits for 1BCHES102: 04.

Are notes and previous year question papers available for 1BCHES102?

Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.

How should I prepare Mathematics-I 1BCHES102 for VTU exams?

Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.

Is this 1BCHES102 page updated for current VTU scheme?

Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.

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About Mathematics-I (1BCHES102)

Mathematics-I (1BCHES102) is a critical course in the VTU curriculum, essential for any student looking to master the foundations of engineering. It covers key theoretical frameworks and practical concepts that are widely used in the industry today, ensuring students are well-prepared for both exams and their future careers.

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📘 Detailed Syllabus & Topic Breakdown

Detailed Subject Overview

Mathematics-I (1BCHES102) is designed to provide a comprehensive look into the core methodologies and advanced theories that define this field. Understanding this subject is fundamental for anyone looking to excel in modern technical domains and industrial engineering.

By studying this course, you will learn how to approach complex problems with a structured mindset, optimizing systems for better performance and reliability—skills that are highly valued in both AI research and software architecture.

Module-by-Module Breakdown

Module 1
Core

Functional Materials for Memory and Display Systems Memory Devices: Introduction, organic semiconductors; types of organic semiconductors used in memory devices, p -type semiconductor -pentacene and n -type semiconductor perfluoropentacene. Differe...

Module 2
Core

Quantum Materials and Polymers Quantum Dots: Introduction, size dependent properties -quantum confinement effect, surface-to-volume ratio & band gap. Synthesis of Cd -Se Quantum dots by wet chemical method and its application...

Module 3
Core

Sustainable Energy Systems Energy Systems: Introduction, basic overview of Nerns ’t equation, construction and working of concentration cell and numerical problems. Batteries -classification of batteries, construction, work...

Module 4
Core

Sensors and Corrosion Science Sensors: Introduction, terminologies -Transducer, Actuators and Sensors. Conductometric sensor-principle, construction and its application in the estimation of acid mixture. Colorimetric se...

Module 5
Core

Green Materials and E-Waste Management Green Chemistry: Introduction, properties and applications of green solvents for server heat management. Synthesis and properties of glycerol trioleate ester and its uses in IT infrastructure appli...

Professional Career Relevance

This subject provides a strong foundation for various technical roles, emphasizing analytical thinking, system design, and the practical application of engineering principles in the modern industry. Mastering these concepts prepares you for high-demand roles in Data Science, System Architecture, and Technical Leadership in top-tier tech companies.

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