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JNTUK R23 B.Tech EEE II Year II Semester (2-2) Syllabus & Subject-wise Topics

# Category Subject L-T-P Credits
1 Management Course-I Managerial Economics & Financial Analysis 2-0-0 2
2 Engineering Science/Basic Science Analog Circuits 3-0-0 3
3 Professional Core Power Systems-I 3-0-0 3
4 Professional Core Induction and Synchronous Machines 3-0-0 3
5 Professional Core Control Systems 3-0-0 3
6 Professional Core Induction and Synchronous Machines Lab 0-0-3 1.5
7 Professional Core Control Systems Lab 0-0-3 1.5
8 Skill Enhancement Course Python Programming Lab 0-1-2 2
9 Engineering Science Design Thinking & Innovation 1-0-2 2

Managerial Economics & Financial Analysis

introduces the economic and accounting concepts engineers need to evaluate business decisions: demand, cost, market structures, capital budgeting and financial statement analysis.

Analog Circuits

builds transistor and op-amp circuit design skills, from biasing and feedback through oscillators to data converters, underpinning the analog electronics used inside instrumentation and control systems.

Power Systems-I

surveys how electricity is generated, substations are configured, and distribution networks are designed and priced, the big-picture plumbing that later subjects analyse in more depth.

Induction and Synchronous Machines

covers the construction, performance and control of three-phase and single-phase induction motors alongside synchronous generators and motors, the AC machines that dominate industrial power use.

Control Systems

teaches how to model, analyse and stabilize feedback systems, from transfer functions and time-domain response through frequency response and state-space methods, skills used across every automated electrical system.

Induction and Synchronous Machines Lab

bench experiments that let students measure the torque, speed and regulation characteristics of induction motors and alternators predicted by the theory course.

Control Systems Lab

hands-on experiments with servo components, compensators and PLCs that make abstract control-theory concepts like stability and controllability tangible.

Python Programming Lab

a practical Python course covering core syntax through data structures, file handling, OOP and a first taste of data-science libraries, the general-purpose programming skill engineers need for automation and analysis.

Design Thinking & Innovation

introduces the design-thinking process of empathizing, ideating and prototyping, so students approach product development with a structured, user-centred method rather than guesswork.

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