by Rishi | Jul 10, 2026 | JNTUK R23 Syllabus
| # | Category | Subject | L-T-P | Credits |
|---|
| 1 | BS | Probability Theory and Stochastic Process | 3-0-0 | 3 |
| 2 | HSMC | Universal Human Values – Understanding Harmony and Ethical Human Conduct | 2-1-0 | 3 |
| 3 | Engineering Science | Signals and Systems | 3-0-0 | 3 |
| 4 | Professional Core | Electronic Devices and Circuits | 3-0-0 | 3 |
| 5 | Professional Core | Switching Theory and Logic Design | 3-0-0 | 3 |
| 6 | Professional Core | Electronic Devices and Circuits Lab | 0-0-3 | 1.5 |
| 7 | Professional Core | Switching Theory and Logic Design Lab | 0-0-3 | 1.5 |
| 8 | Skill Enhancement Course | Data Structures using Python | 0-1-2 | 2 |
| 9 | Audit Course | Environmental Science | 2-0-0 | – |
| | Total | 16-2-8 | 20 |
Probability Theory and Stochastic Process
builds the statistical toolkit ECE students lean on for the rest of the degree, since every noisy channel and random signal in communications is modeled with exactly this machinery.
- Unit 1: Probability axioms, joint/conditional probability, random variables and their distribution and density functions
- Unit 2: Expectation, moments, characteristic functions, and transformations of single and multiple random variables
- Unit 3: Random processes, stationarity, ergodicity, autocorrelation and cross-correlation of processes through linear systems
- Unit 4: Power spectrum and cross-power spectrum properties and their relation to autocorrelation
- Unit 5: Noise sources, noise figure, and information-theory basics including entropy, source coding, and channel capacity
Universal Human Values – Understanding Harmony and Ethical Human Conduct
a values-and-ethics foundation course meant to help students reason about happiness, relationships, and professional conduct rather than just technical content.
- Unit 1: Introduction to value education, self-exploration, and the basic aspirations of happiness and prosperity
- Unit 2: Harmony within oneself, distinguishing the needs of the self from the needs of the body
- Unit 3: Harmony in the family and society, trust and respect as foundational relational values
- Unit 4: Harmony with nature and existence, co-existence across the orders of nature
- Unit 5: Implications for professional ethics and holistic approaches to technology, production, and management
Signals and Systems
lays the mathematical groundwork (transforms, convolution, sampling) that every later subject in communications, DSP, and control systems builds on.
- Unit 1: Classification of signals and systems, signal operations, and orthogonal signal representation
- Unit 2: Fourier series and Fourier transform of periodic and aperiodic signals, with the Hilbert transform introduced
- Unit 3: Linear system analysis, convolution, transfer functions, and distortion-less transmission conditions
- Unit 4: Correlation functions, energy/power spectral density, and the sampling theorem with aliasing
- Unit 5: Laplace and Z-transform techniques for continuous and discrete signal analysis
Electronic Devices and Circuits
covers how diodes and transistors actually behave physically, which is the prerequisite for designing any analog circuit later in the program.
- Unit 1: Semiconductor physics fundamentals and PN junction diode characteristics
- Unit 2: Special-purpose diodes (Zener, varactor, tunnel, SCR) and diode-based clipping, clamping, and rectifier circuits
- Unit 3: BJT construction, current components, and transistor configurations (CB, CE, CC)
- Unit 4: Transistor biasing methods and thermal stabilization techniques
- Unit 5: Small-signal low-frequency amplifier models for BJT and FET, including MOSFET and CMOS basics
Switching Theory and Logic Design
the digital-logic foundation behind every processor, memory, and digital communication block students will design later.
- Unit 1: Number systems, error-detecting codes, Boolean theorems, and logic gate realizations
- Unit 2: Minimization techniques (K-map, Quine-McCluskey) and combinational circuit design (adders, subtractors, code converters)
- Unit 3: MSI/LSI-based combinational design (encoders, decoders, multiplexers) and PLD structures
- Unit 4: Latches, flip-flops, counters, and shift-register design
- Unit 5: Finite state machines, state reduction, and clocked sequential circuit design
Electronic Devices and Circuits Lab
hands-on verification of diode and transistor behavior to connect the theory to real measured characteristics.
- Diode/BJT/FET/SCR/UJT characteristic tracing and rectifier and clipper/clamper circuit construction
- Transistor biasing and CE/CC/CS amplifier construction with CRO-based measurement
Switching Theory and Logic Design Lab
practical digital-logic design and verification using trainer kits and HDL.
- Logic gate and combinational circuit verification (decoders, multiplexers, adders) on digital trainer kits
- Sequential circuit design (flip-flops, counters, shift registers) and HDL-based combinational/sequential design exercises
Data Structures using Python
introduces programming and core data structures using Python as the vehicle, skills needed for every later software-adjacent course.
- OOP fundamentals (classes, inheritance, overloading/overriding) and Python comprehensions
- Searching and sorting algorithms (linear/binary search, bubble/selection/merge/quick sort)
- Stacks, queues, singly/doubly linked lists, and binary search trees
Environmental Science
a mandatory awareness course on natural resources, ecosystems, and pollution, meant to ground engineering decisions in environmental responsibility.
- Unit 1: Multidisciplinary nature of environmental studies and classification of natural resources
- Unit 2: Ecosystem structure and function, food chains/webs, and biodiversity conservation
- Unit 3: Causes, effects, and control of air/water/soil/noise/thermal pollution and solid waste management
- Unit 4: Sustainable development, rainwater harvesting, environmental legislation, and climate change issues
- Unit 5: Population growth, human health, and the role of IT in environmental monitoring
by Rishi | Jul 10, 2026 | JNTUK R23 Syllabus
| # | Category | Subject | L-T-P | Credits |
|---|
| 1 | Management Course-I | Optimization Techniques | 2-0-0 | 2 |
| 2 | Engineering Science/Basic Science | Probability & Statistics | 3-0-0 | 3 |
| 3 | Professional Core | Operating Systems | 3-0-0 | 3 |
| 4 | Professional Core | Database Management Systems | 3-0-0 | 3 |
| 5 | Professional Core | Software Engineering | 3-0-0 | 3 |
| 6 | Professional Core | Operating Systems & Software Engineering Lab | 0-0-3 | 1.5 |
| 7 | Professional Core | Database Management Systems Lab | 0-0-3 | 1.5 |
| 8 | Skill Enhancement Course | Python with Django | 0-1-2 | 2 |
| 9 | BS&H | Design Thinking & Innovation | 1-0-2 | 2 |
| | Total | 15-1-10 | 21 |
A mandatory Community Service Project Internship of 8 weeks runs during the following summer vacation; the source document lists this requirement without an accompanying unit-wise syllabus.
Optimization Techniques
introduces the mathematical machinery (classical calculus-based optimization, linear programming, and dynamic programming) engineers use to find the best solution among competing design or resource-allocation options.
- Unit 1: Classical optimization — single/multivariable optimization, Lagrange multipliers, and Kuhn-Tucker conditions
- Unit 2: Linear programming — standard form, simplex algorithm, and geometry of LP problems
- Unit 3: Transportation problem — north-west corner rule, least-cost method, and Vogel’s approximation
- Unit 4: Nonlinear programming — one-dimensional minimization and penalty function methods
- Unit 5: Dynamic programming — multistage decision processes and the principle of optimality
Probability & Statistics
equips students with descriptive statistics, correlation/regression, probability distributions, and hypothesis testing — the statistical foundation that underlies data science, machine learning, and quality analysis later in the curriculum.
- Unit 1: Descriptive statistics — data types, central tendency, variability, skewness, and kurtosis
- Unit 2: Correlation and regression — correlation coefficients, linear and curvilinear regression
- Unit 3: Probability and distributions — conditional probability, Bayes’ theorem, and binomial/Poisson/normal distributions
- Unit 4: Sampling theory — sampling distributions, point/interval estimation, and the central limit theorem
- Unit 5: Hypothesis testing — Type I/II errors, significance levels, and t-test/F-test/chi-square test
Operating Systems
explains how an OS manages processes, memory, and files, and builds the concurrency and synchronization intuition (scheduling, deadlocks, semaphores) that every systems-facing IT role eventually needs.
- Unit 1: OS overview and system structures — OS services, system calls, and OS design/implementation
- Unit 2: Processes and CPU scheduling — process concepts, threads, multithreading models, and scheduling algorithms
- Unit 3: Synchronization and deadlocks — critical section problem, mutex locks, semaphores, and deadlock handling
- Unit 4: Memory management — paging, virtual memory, demand paging, and storage management
- Unit 5: File systems and protection — file access methods, directory implementation, and protection domains
Database Management Systems
covers relational database theory from ER modeling through SQL and normalization to transaction management, giving students the design and query skills needed to build reliable data-backed applications.
- Unit 1: Database fundamentals and ER modeling — schema architecture, entities, relationships, and specialization/generalization
- Unit 2: Relational model and basic SQL — relational algebra, relational calculus, and DDL/DML operations
- Unit 3: SQL querying — joins, nested queries, aggregation, grouping, and views
- Unit 4: Normalization — functional dependency, 1NF through 5NF, and BCNF
- Unit 5: Transactions and indexing — ACID properties, concurrency control, recovery, and B+ tree/hash indexing
Software Engineering
surveys the software development lifecycle from requirements and design through testing, quality management, and maintenance, establishing the process discipline behind building software as a team rather than an individual.
- Unit 1: Software life cycle models — waterfall, RAD, agile, and spiral models
- Unit 2: Project management and requirements — cost estimation, COCOMO, and SRS specification
- Unit 3: Software design — cohesion/coupling, agile practices, function-oriented design, and UI design
- Unit 4: Coding and testing — black-box/white-box testing, debugging, and software quality standards (ISO 9000, CMM)
- Unit 5: CASE tools and maintenance — CASE environments, software maintenance, and software reuse
Operating Systems & Software Engineering Lab
a joint lab pairing OS-level systems programming (scheduling, IPC, memory management) with software-engineering artefacts (SRS, UML diagrams, test cases) for real mini-projects.
- UNIX commands, system calls, and CPU scheduling/page-replacement algorithm simulations
- Semaphore/monitor-based synchronization and Banker’s Algorithm deadlock avoidance
- Requirement analysis, ER/DFD diagrams, UML modeling, and test-case design for sample applications
Database Management Systems Lab
hands-on SQL and PL/SQL practice covering everything from table creation through stored procedures, cursors, triggers, and JDBC connectivity.
- DDL/DML/DCL commands, nested queries, aggregate functions, and views
- PL/SQL control structures, procedures, functions, cursors, and triggers
- Database connectivity from Java programs using JDBC
Python with Django
moves from Python’s web-development libraries into full-stack web application development with the Django framework, covering authentication, database integration, and cloud deployment.
- Unit 1: Python web libraries — Tkinter, Requests, BeautifulSoup4, and lightweight frameworks like Flask
- Unit 2: Django fundamentals — MVC/MTV architecture, URL mapping, templates, and models
- Unit 3: Authentication — Django’s authentication system, registration, and email integration
- Unit 4: Database integration — migrations, CRUD operations, sessions, and cookies
- Unit 5: Cloud deployment — deploying a Django application to Heroku with static file handling
Design Thinking & Innovation
introduces design thinking as a structured, human-centred problem-solving process and connects it to product development and entrepreneurial innovation.
- Unit 1: Introduction to design thinking — design elements, principles, and history
- Unit 2: The design thinking process — empathize, analyze, ideate, and prototype
- Unit 3: Innovation — the relationship between creativity and innovation in organizations
- Unit 4: Product design — problem formulation, product strategy, and specifications
- Unit 5: Design thinking in business — applying design thinking to startups and business model testing
by Rishi | Jul 10, 2026 | JNTUK R23 Syllabus
| # | Category | Subject | L-T-P | Credits |
|---|
| 1 | BS&H | Discrete Mathematics & Graph Theory | 3-0-0 | 3 |
| 2 | BS&H | Universal Human Values – Understanding Harmony and Ethical Human Conduct | 2-1-0 | 3 |
| 3 | Engineering Science | Digital Logic & Computer Organization | 3-0-0 | 3 |
| 4 | Professional Core | Advanced Data Structures & Algorithms | 3-0-0 | 3 |
| 5 | Professional Core | Object Oriented Programming Through Java | 3-0-0 | 3 |
| 6 | Professional Core | Advanced Data Structures Lab | 0-0-3 | 1.5 |
| 7 | Professional Core | Object Oriented Programming Through Java Lab | 0-0-3 | 1.5 |
| 8 | Skill Enhancement Course | Python Programming | 0-1-2 | 2 |
| 9 | Audit Course | Environmental Science | 2-0-0 | – |
| | Total | 16-2-8 | 20 |
Discrete Mathematics & Graph Theory
builds the logical and combinatorial toolkit (propositional logic, set theory, counting, recurrence relations, and graph theory) that underpins algorithm analysis, database theory, and reasoning about computation throughout the IT curriculum.
- Unit 1: Mathematical logic — propositional calculus, well-formed formulas, truth tables, normal forms, and predicate calculus with quantifiers
- Unit 2: Set theory — set operations, relations, partial ordering, Hasse diagrams, functions, and lattices
- Unit 3: Combinatorics — counting principles, permutations and combinations, and generating functions for recurrence relations
- Unit 4: Graph theory basics — graph representations, isomorphism, paths, circuits, and Eulerian/Hamiltonian graphs
- Unit 5: Multigraphs — bipartite and planar graphs, graph colouring, spanning trees, and BFS/DFS spanning tree algorithms
Universal Human Values – Understanding Harmony and Ethical Human Conduct
a values-education course that helps students connect self-awareness, relationships, and professional ethics into a coherent, practice-based way of living and working.
- Unit 1: Introduction to value education — self-exploration, natural acceptance, and the basic aspirations of happiness and prosperity
- Unit 2: Harmony in the human being — understanding the self as distinct from yet connected to the body
- Unit 3: Harmony in family and society — trust and respect as foundational relational values
- Unit 4: Harmony in nature and existence — interconnectedness across the four orders of nature
- Unit 5: Implications for professional ethics — translating holistic understanding into ethical human and professional conduct
Digital Logic & Computer Organization
covers how data is represented and processed at the hardware level, from logic gates up through processor and memory organization, giving IT students the hardware foundation that every higher software layer sits on.
- Unit 1: Data representation and digital logic circuits — number systems, binary codes, logic gates, K-map minimization, decoders, and multiplexers
- Unit 2: Sequential circuits and computer basics — flip-flops, counters, registers, computer types, and Von Neumann architecture
- Unit 3: Computer arithmetic and processor organization — signed number addition/multiplication, fast adders, and instruction execution control
- Unit 4: Memory organization — RAM/ROM, cache memory, virtual memory, and secondary storage
- Unit 5: I/O organization — interrupts, DMA, buses, interface circuits, and standard I/O interfaces
Advanced Data Structures & Algorithms
extends basic data structures into balanced trees, graphs, and heaps, and pairs them with the classical algorithm-design paradigms (divide-and-conquer, greedy, dynamic programming, backtracking) needed to reason about efficiency and complexity.
- Unit 1: Algorithm analysis and tree structures — asymptotic notation, AVL trees, and B-trees
- Unit 2: Heaps, graphs, and divide-and-conquer — priority queues, graph traversal, quicksort, mergesort, and Strassen’s matrix multiplication
- Unit 3: Greedy and dynamic programming — job sequencing, knapsack variants, shortest paths, and the travelling salesperson problem
- Unit 4: Backtracking and branch-and-bound — N-queens, subset-sum, graph colouring, and 0/1 knapsack
- Unit 5: NP-completeness — Cook’s theorem, NP-hard graph problems, and NP-hard scheduling problems
Object Oriented Programming Through Java
teaches core object-oriented design through Java syntax, class design, inheritance, and exception handling, then extends into threads, file I/O, JDBC, and JavaFX so students can build complete desktop applications.
- Unit 1: Java fundamentals — program structure, data types, operators, and control statements
- Unit 2: Classes and methods — constructors, access control, method overloading, and passing arguments
- Unit 3: Arrays and inheritance — array operations, inheritance types, abstract classes, and interfaces
- Unit 4: Packages and exceptions — package structure, exception hierarchy, and Java I/O streams
- Unit 5: Strings, threads, and connectivity — string handling, multithreading, JDBC database access, and JavaFX GUI basics
Advanced Data Structures Lab
hands-on companion to the algorithms course, where students implement and benchmark the trees, graph algorithms, and optimization strategies covered in lecture.
- Constructing and manipulating AVL trees, B-trees, and min/max heaps with insert/delete operations
- Implementing graph traversals, spanning tree algorithms, and shortest-path methods
- Applying backtracking and branch-and-bound to N-Queens, 0/1 knapsack, and travelling salesperson problems
Object Oriented Programming Through Java Lab
practical Java programming exercises that reinforce class design, inheritance, exception handling, threading, and database connectivity from the lecture course.
- Implementing classes, constructors, method overloading, and inheritance hierarchies
- Building exception handlers, multithreaded programs, and package-based applications
- Connecting to databases via JDBC and building simple JavaFX interfaces
Python Programming
a skill-enhancement course that gets students comfortable writing practical Python, from core syntax through data structures, file handling, object orientation, and an introduction to the data-science stack (NumPy, Pandas).
- Unit 1: Python basics — identifiers, control flow statements, and the Jupyter/Anaconda environment
- Unit 2: Functions and collections — function definitions, argument handling, strings, and lists
- Unit 3: Dictionaries, tuples, and sets — creation, built-in methods, and conversions between them
- Unit 4: Files and OOP — file I/O, pickling, CSV handling, and Python classes/objects
- Unit 5: Intro to data science — NumPy arrays, Pandas data frames, and JSON/XML handling
Environmental Science
a mandatory awareness course on natural resources, ecosystems, pollution, and sustainability, framed around the responsibility engineers carry when their work touches the environment.
- Unit 1: Multidisciplinary nature of environmental studies and renewable/non-renewable natural resources
- Unit 2: Ecosystems and biodiversity — structure, function, and conservation of biodiversity
- Unit 3: Environmental pollution — causes, effects, and control of air, water, soil, and other pollution types
- Unit 4: Social issues — sustainable development, water conservation, climate change, and environmental legislation
- Unit 5: Human population and environment — population growth, health, and the role of IT in environmental monitoring
by Rishi | Jul 10, 2026 | JNTUK R23 Syllabus
| # | Category | Subject | L-T-P | Credits |
|---|
| 1 | Professional Core | Heat Transfer | 3-0-0 | 3 |
| 2 | Professional Core | Artificial Intelligence and Machine Learning | 3-0-0 | 3 |
| 3 | Professional Core | Finite Element Methods | 3-0-0 | 3 |
| 4 | Professional Elective | Professional Elective-II (choice of 4, see below) | 3-0-0 | 3 |
| 5 | Professional Elective | Professional Elective-III (choice of 4, see below) | 3-0-0 | 3 |
| 6 | Open Elective-II | Open Elective-II (choice of 5, see below) | 3-0-0 | 3 |
| 7 | Professional Core | Heat Transfer Lab | 0-0-3 | 1.5 |
| 8 | Professional Core | Artificial Intelligence and Machine Learning Lab | 0-0-3 | 1.5 |
| 9 | Skill Enhancement Course | Robotics and Drone Technologies Lab | 0-0-4 | 2 |
| 10 | Audit Course | Technical Paper Writing and IPR | 2-0-0 | – |
Total: 20-0-10, 23 credits.
Also mandatory: an Industry Internship of 8 weeks during the summer vacation — the PDF records only the 2-0-0 credit line for this with no unit-wise syllabus. Also offered as optional add-ons: a Minor Course from the specialization pool (3-0-3, 4.5 credits), a further Minor Course (3-0-0, 3 credits), and two Honors Courses (3-0-0, 3 credits each) — again drawn from a separate elective pool rather than one fixed syllabus.
Professional Elective-II options:
Mechanical Vibrations · Advanced Manufacturing Processes · Micro Electro Mechanical Systems · Sensors and Instrumentation
Professional Elective-III options:
Energy Storage Technologies · Industrial Hydraulics and Pneumatics · Industrial Robotics · Refrigeration & Air-Conditioning
Open Elective-II options:
Introduction to Industrial Robotics · Industrial Management · Additive Manufacturing · Vehicle Technology · Industrial Safety
Heat Transfer
teaches how thermal energy moves by conduction, convection, and radiation, giving mechanical engineers the analytical basis for designing everything from engine cooling to heat exchangers.
- Unit 1: Conduction fundamentals — the general heat conduction equation and steady-state conduction through slabs, cylinders, spheres, and fins
- Unit 2: Transient conduction (Biot/Fourier numbers) and the basics of convective heat transfer via dimensional analysis
- Unit 3: Forced convection in external and internal flows, and free convection along vertical surfaces
- Unit 4: Heat transfer with phase change — boiling, condensation, and heat exchanger design (LMTD/NTU methods)
- Unit 5: Radiation heat transfer — black-body laws, shape factors, and radiation exchange between grey surfaces
Artificial Intelligence and Machine Learning
introduces AI/ML concepts to mechanical engineers, reflecting how data-driven methods now feed into predictive maintenance, design optimization, and smart manufacturing.
- Unit 1: AI fundamentals — intelligent agents, rationality, and logical/knowledge representation
- Unit 2: Supervised learning — regression, decision trees, support vector machines, and the bias-variance trade-off
- Unit 3: Unsupervised learning (clustering, PCA) and Bayesian/instance-based learning methods
- Unit 4: Neural networks — perceptrons, backpropagation, CNNs, RNNs — and genetic algorithms
- Unit 5: Deep learning architectures and evaluating/ensembling machine learning models
Finite Element Methods
teaches the numerical technique behind virtually all modern structural, thermal, and vibration simulation software used in mechanical design.
- Unit 1: FEM fundamentals — stress-strain relations, variational and weighted-residual methods, and 1D problems
- Unit 2: Bar element formulation, mesh generation, and truss analysis
- Unit 3: Beam element stiffness matrices and load-vector derivation
- Unit 4: 2D stress analysis with constant-strain triangles, axisymmetric problems, and isoparametric elements
- Unit 5: Steady-state heat transfer analysis and dynamic/free-vibration analysis via eigenvalue problems
Mechanical Vibrations
(Professional Elective-II) — extends vibration theory from Theory of Machines into multi-degree-of-freedom systems and measurement instrumentation used to diagnose real machinery.
- Unit 1: Mathematical modelling of single-degree-of-freedom free and forced vibrating systems
- Unit 2: Free and forced vibration of multi-degree-of-freedom systems via matrix methods and modal analysis
- Unit 3: Torsional and transverse vibrations of rods and beams, plus an introduction to non-linear and random vibration
- Unit 4: Vibration-measuring instruments and critical speeds of shafts
- Unit 5: Laplace-transform-based response analysis to impulse, step, and pulse inputs
Advanced Manufacturing Processes
(Professional Elective-II) — covers non-traditional machining and micro/nanoscale fabrication routes that go beyond the conventional processes taught earlier in the programme.
- Unit 1: Advanced machining processes — AJM, WJM, wire-EDM, ECM, LBM, EBM, and PAM
- Unit 2: Additive manufacturing methods — stereolithography, LOM, laser sintering, and FDM
- Unit 3: Surface treatment/coating methods and ceramic processing
- Unit 4: Composite processing (MMC/CMC/PMC) and nanomaterial processing techniques
- Unit 5: Fabrication of microelectronic devices, including wafer preparation and PCB technology
Micro Electro Mechanical Systems
(Professional Elective-II) — introduces MEMS design and fabrication, the miniaturized sensor/actuator technology increasingly embedded in mechanical and mechatronic products.
- Unit 1: MEMS fabrication basics (lithography, etching, wafer bonding) and mechanical sensors/actuators
- Unit 2: Thermal sensors and actuators, including shape-memory-alloy actuators
- Unit 3: Micro-opto-electromechanical systems (MOEMS) and magnetic sensors/actuators
- Unit 4: Microfluidic systems and RF MEMS devices
- Unit 5: Chemical and biomedical microsystems, including lab-on-a-chip sensing
Sensors and Instrumentation
(Professional Elective-II) — covers the sensing and data-acquisition technology that underlies measurement, automation, and mechatronic control systems.
- Unit 1: Measurement fundamentals — error analysis, transducer characteristics, and sensor calibration
- Unit 2: Motion, proximity, and ranging sensors — encoders, LVDT, accelerometers, and LIDAR
- Unit 3: Force, magnetic, and heading sensors — strain gauges, Hall-effect sensors, and gyroscopes
- Unit 4: Optical, pressure, and temperature sensors, plus smart and MEMS/nano sensors
- Unit 5: Signal conditioning and data-acquisition systems for single- and multi-channel logging
Energy Storage Technologies
(Professional Elective-III) — covers the battery and storage systems central to the electric-vehicle and renewable-energy transition, an increasingly important area for mechanical engineers.
- Unit 1: Energy storage systems overview, including thermal storage and phase-change materials
- Unit 2: Chemical storage systems and electromagnetic storage (supercapacitors, SMES)
- Unit 3: Electrochemical storage — battery working principles and major battery chemistries
- Unit 4: Supercapacitors and fuel cells, including hybrid systems
- Unit 5: Battery design, thermal management, and recycling for electric vehicles
Industrial Hydraulics and Pneumatics
(Professional Elective-III) — covers fluid-power systems used to actuate industrial machinery, complementing the fluid mechanics taught earlier with practical circuit design.
- Unit 1: Fluid power fundamentals and the working fluids used in hydraulic/pneumatic systems
- Unit 2: Hydraulic and pneumatic elements — pumps, actuators, control valves, and FRL units
- Unit 3: Hydraulic and pneumatic circuit design, including ISO symbols and logic circuit methods
- Unit 4: Hydraulic and pneumatic devices — automotive brakes, forklifts, and pneumatic tools
- Unit 5: Installation, maintenance, and troubleshooting of hydraulic and pneumatic systems
Industrial Robotics
(Professional Elective-III) — covers the kinematics, actuation, and programming of industrial robot arms, a core automation technology in modern manufacturing.
- Unit 1: Robot anatomy, classification, and components of industrial robots
- Unit 2: Robot actuators (pneumatic, hydraulic, electric) and feedback components
- Unit 3: Motion analysis and manipulator kinematics (D-H notation, forward/inverse kinematics)
- Unit 4: Trajectory planning, path generation, and robot programming languages
- Unit 5: Image processing and machine vision in robotic applications
Refrigeration & Air-Conditioning
(Professional Elective-III) — extends thermodynamics into cooling-system design, covering the refrigeration cycles and psychrometric calculations behind HVAC and cold-chain equipment.
- Unit 1: Refrigeration fundamentals and air-refrigeration cycles (Bell-Coleman)
- Unit 2: Vapour compression refrigeration systems and an introduction to cryogenics
- Unit 3: Refrigerants, vapour absorption systems, and steam-jet refrigeration
- Unit 4: Air-conditioning psychrometrics and cooling-load calculations
- Unit 5: Air-conditioning system classification and heat pump circuits
Introduction to Industrial Robotics
(Open Elective-II) — the same robot kinematics, actuation, and machine-vision syllabus as the Professional Elective-III “Industrial Robotics” course, offered here as an open elective for students from other specializations.
- Unit 1: Robot anatomy, classification, and components
- Unit 2: Robot actuators and feedback components
- Unit 3: Motion analysis and manipulator kinematics
- Unit 4: Trajectory planning, path generation, and robot programming
- Unit 5: Image processing and machine vision in robotics
Industrial Management
(Open Elective-II) — the same industrial-engineering and management syllabus taught as a management course in II Year II Semester, offered here as an open elective.
- Unit 1: Industrial engineering fundamentals, scientific management, and plant layout
- Unit 2: Work study — method study, time study, and ergonomics
- Unit 3: Statistical quality control and total quality management
- Unit 4: Financial management and capital budgeting
- Unit 5: Human resource management and value engineering
Additive Manufacturing
(Open Elective-II) — covers 3D-printing/rapid-prototyping technology in depth, from the underlying processes to tooling and data formats used in industry.
- Unit 1: Rapid prototyping fundamentals and liquid-based systems (SLA, Solid Ground Curing)
- Unit 2: Solid-based systems — laminated object manufacturing and fused deposition modelling
- Unit 3: Powder-based systems — selective laser sintering and 3D printing
- Unit 4: Rapid tooling — direct and indirect tooling methods
- Unit 5: RP data formats (STL) and applications across aerospace, automotive, and medical fields
Vehicle Technology
(Open Elective-II) — the same advanced-engine, combustion, and electrification syllabus as the Professional Elective-I “Conventional and Futuristic Vehicle Technology” course, offered here as an open elective.
- Unit 1: Advanced engine technologies — direct injection, variable compression, and turbocharging
- Unit 2: Advanced combustion technologies (HCCI, PCCI, RCCI)
- Unit 3: Low-carbon fuel technology
- Unit 4: Hybrid and battery-electric vehicle configurations
- Unit 5: Fuel-cell technology for automotive applications
Industrial Safety
(Open Elective-II) — covers workplace safety management and fire protection, essential compliance knowledge for engineers who will work in or manage industrial plants.
- Unit 1: History and development of industrial safety management and safety organizations
- Unit 2: Accident prevention, protective equipment, and accident investigation
- Unit 3: Safety legislation (Factories Act, Boiler Act, ESI Act) and occupational health/ergonomics
- Unit 4: Fire prevention and protection systems, including extinguishing agents and equipment
- Unit 5: Building fire safety design, egress, and fire-safety requirements for high-rise buildings
Heat Transfer Lab
verifies conduction, convection, and radiation theory experimentally across a range of standard heat-transfer test rigs.
- Conduction and convection tests: composite slabs, lagged pipes, pin-fin efficiency, natural/forced convection coefficients
- Radiation tests: emissivity determination and verification of the Stefan-Boltzmann constant
- Phase-change and heat-exchanger tests: drop/film condensation, critical heat flux, and parallel/counter-flow heat exchanger effectiveness
Artificial Intelligence and Machine Learning Lab
gives students coding practice implementing the ML models covered in the lecture course using Python’s data-science stack.
- Python data-science libraries: NumPy, Pandas, Matplotlib, Seaborn, and TensorFlow, plus data preprocessing/cleaning
- Model implementation: linear/logistic regression, ANN, CNN, RNN, decision trees, Naive Bayes, and SVM
- Advanced exercise: building an autoencoder
Robotics and Drone Technologies Lab
hands-on robot and drone building that complements the Industrial Robotics and vehicle-technology theory with maker-style prototyping.
- Robotics exercises: robot kinematic simulation, Arduino-based robot builds, obstacle-avoidance and line-following robots, and a robotic-arm/gripper build with PID control
- Drone exercises: understanding drone parts and flight dynamics (roll/pitch/yaw), sensor and battery management, and building a payload-carrying prototype drone
Technical Paper Writing and IPR
a mandatory audit course teaching academic writing conventions alongside intellectual-property fundamentals students need before filing a patent or publishing research.
- Unit 1: Planning and preparation for technical writing — structure, clarity, and avoiding ambiguity
- Unit 2: Literature review and the components of a research paper (methods, results, discussion)
- Unit 3: Nature of intellectual property and the patenting process, including PCT filing
- Unit 4: Scope of patent rights, licensing, and technology transfer
- Unit 5: New developments in IPR, including software and biological-systems patents
Industry Internship
(mandatory, 8 weeks, summer) — the PDF records only the 2-0-0 credit line for this mandatory internship in III Year II Semester; there is no unit-wise syllabus, since the content is on-the-job training defined by the host organization rather than classroom topics.
by Rishi | Jul 10, 2026 | JNTUK R23 Syllabus
| # | Category | Subject | L-T-P | Credits |
|---|
| 1 | Professional Core | Machine Tools and Metrology | 3-0-0 | 3 |
| 2 | Professional Core | Thermal Engineering | 3-0-0 | 3 |
| 3 | Professional Core | Design of Machine Elements | 3-0-0 | 3 |
| 4 | Professional Elective | Professional Elective-I (choice of 4, see below) | 3-0-0 | 3 |
| 5 | Open Elective-I / Entrepreneurship | Open Elective-I OR Entrepreneurship Development & Venture Creation (choice of 5, see below) | 3-0-0 | 3 |
| 6 | Professional Core | Thermal Engineering Lab | 0-0-3 | 1.5 |
| 7 | Professional Core | Theory of Machines Lab | 0-0-3 | 1.5 |
| 8 | Skill Enhancement Course | Machine Tools and Metrology Lab | 0-0-4 | 2 |
| 9 | Engineering Science | Tinkering Lab | 0-0-2 | 1 |
| 10 | Evaluation of Community Service Internship | Community Service Internship | – | 2 |
Total: 15-0-10, 23 credits.
Also offered as optional add-ons outside the core total: a Minor Course from the specialization-minors pool (3-0-3, 4.5 credits), a Minor Course via SWAYAM/NPTEL (3-0-0, 3 credits), and two Honors Courses from the honors pool (3-0-0, 3 credits each). These minor/honors slots are drawn from a separate elective pool spanning many possible named subjects rather than one fixed syllabus, so they are not expanded subject-by-subject here.
Professional Elective-I options:
Design for Manufacturing · Conventional and Futuristic Vehicle Technology · Renewable Energy Technologies · Non-Destructive Evaluation
Open Elective-I options:
Sustainable Energy Technologies · Applied Operations Research · Nano Technology · Thermal Management of Electronic Systems · Entrepreneurship
Machine Tools and Metrology
covers how material-removal machines actually cut metal and how precision measurement verifies the result, pairing the two halves of workshop practice that every production engineer needs.
- Unit 1: Metal-cutting theory — tool nomenclature, orthogonal/oblique cutting, Merchant’s force diagram, Taylor’s tool-life equation, and tool wear
- Unit 2: Lathe construction, operations, and taper/thread cutting; shaping, slotting, and planing machine principles
- Unit 3: Drilling, boring, and milling machine principles, operations, and machining-time calculations
- Unit 4: Grinding, lapping, honing, and broaching; limits and fits, gauge design, and linear measurement instruments
- Unit 5: Angular measurement (sine bar, bevel protractor) and surface-roughness and optical measuring instruments (toolmaker’s microscope, autocollimator)
Thermal Engineering
extends first-year thermodynamics into the real machines that convert heat into work, covering engines, turbines, and compressors that mechanical engineers design and analyse professionally.
- Unit 1: Air-standard cycles (Otto, Diesel, dual, Brayton) and their comparison against actual engine cycles
- Unit 2: IC engine classification, systems, and performance; boiler principles, mountings, and draught
- Unit 3: Steam nozzles, impulse and reaction steam turbines, and steam condensers
- Unit 4: Reciprocating, rotary, centrifugal, and axial-flow compressors, plus gas turbine cycles
- Unit 5: Jet propulsion, rocket propellants, and an introduction to solar engineering
Design of Machine Elements
teaches the calculation-driven design of individual machine components under static and fatigue loading, the direct follow-on from Mechanics of Solids.
- Unit 1: Design for static loads (theories of failure) and dynamic/fatigue loads (Soderberg, Goodman criteria)
- Unit 2: Design of bolted joints (preload, torque) and welded joints under bending and torsion
- Unit 3: Design of power-transmission shafts and couplings (flange, bushed-pin, universal)
- Unit 4: Design of friction clutches, brakes, and helical/leaf springs
- Unit 5: Design of sliding and rolling-contact bearings, and spur gear design via the Lewis equation
Design for Manufacturing
(Professional Elective-I) — teaches engineers to design parts that are cheaper and easier to actually produce and assemble, rather than optimizing geometry in isolation from manufacturing reality.
- Unit 1: DFMA fundamentals and design-for-manual-assembly guidelines
- Unit 2: Design rules for machining ease, tolerances, and surface finish
- Unit 3: Design considerations for metal casting, extrusion, and sheet-metal work
- Unit 4: Design guidelines for welded and forged joints
- Unit 5: Design for assembly automation and design for additive manufacturing
Conventional and Futuristic Vehicle Technology
(Professional Elective-I) — surveys where automotive powertrains are headed, from advanced combustion in conventional engines through to hybrid, electric, and fuel-cell propulsion.
- Unit 1: Advanced engine technologies — direct injection, variable compression, turbocharging, and engine management systems
- Unit 2: Advanced combustion technologies including HCCI, PCCI, and RCCI concepts
- Unit 3: Low-carbon fuel technology — alcohol, ammonia, methane, and hydrogen fuels
- Unit 4: Hybrid and battery-electric vehicle configurations and their challenges
- Unit 5: Fuel-cell technology for automotive applications, including hydrogen storage
Renewable Energy Technologies
(Professional Elective-I) — surveys non-fossil energy conversion routes so mechanical engineers understand the systems increasingly displacing conventional thermal power.
- Unit 1: Solar radiation fundamentals and PV module/system design
- Unit 2: Battery storage for PV systems
- Unit 3: Solar collectors and thermal-energy storage/applications
- Unit 4: Wind energy fundamentals and biomass conversion
- Unit 5: Geothermal energy, ocean energy, and fuel cells
Non-Destructive Evaluation
(Professional Elective-I) — covers how engineers inspect components for flaws without damaging them, a critical quality-assurance skill in aerospace, pressure-vessel, and welded-construction industries.
- Unit 1: NDE applications across industries, and radiographic testing principles
- Unit 2: Ultrasonic testing — wave propagation, transducers, and interpretation
- Unit 3: Liquid penetrant testing and eddy current testing
- Unit 4: Magnetic particle testing — magnetization, procedure, and standardization
- Unit 5: Infrared and thermal testing techniques
Sustainable Energy Technologies
(Open Elective-I) — covers the same renewable-energy conversion landscape as a standalone open elective, aimed at students from any branch wanting a systems-level view of clean energy.
- Unit 1: Solar radiation and PV module/system design
- Unit 2: Battery storage in PV systems
- Unit 3: Solar collectors and thermal storage/applications
- Unit 4: Wind energy and biomass conversion
- Unit 5: Geothermal energy, ocean energy, and fuel cells
Applied Operations Research
(Open Elective-I) — introduces the quantitative optimization toolkit used to schedule, allocate, and plan resources in engineering and business operations.
- Unit 1: Linear programming — formulation, graphical and simplex methods, and duality
- Unit 2: Transportation and assignment problems, and job-sequencing problems
- Unit 3: Replacement theory and game theory
- Unit 4: Queuing theory and project management (PERT/CPM)
- Unit 5: Dynamic programming and simulation
Nano Technology
(Open Elective-I) — introduces materials engineered at the nanoscale, covering how their unique properties arise and how they’re synthesized, characterized, and applied.
- Unit 1: Classification of nanostructured materials and their applications
- Unit 2: Unique mechanical, magnetic, electrical, and optical properties at the nanoscale
- Unit 3: Synthesis routes — bottom-up (CVD, sol-gel) and top-down (mechanical alloying, nanolithography) approaches
- Unit 4: Characterization tools — XRD, SEM, TEM, AFM, STM
- Unit 5: Applications across electronics, sensors, medicine, textiles, and energy
Thermal Management of Electronic Systems
(Open Elective-I) — applies heat-transfer principles to the specific problem of keeping electronic components cool, an increasingly important cross-over skill between mechanical and electronics engineering.
- Unit 1: Conduction fundamentals and fin design for heat dissipation
- Unit 2: Forced and free convection, and radiation heat transfer in electronic enclosures
- Unit 3: PCB and chip-package cooling, air cooling, and single-phase liquid cooling
- Unit 4: Two-phase cooling, pool boiling, and heat pipes
- Unit 5: Thermoelectric coolers, phase-change materials, heat sinks, and micro-channel cooling
Entrepreneurship
(Open Elective-I) — gives engineering students the business-formation vocabulary to evaluate and potentially launch a venture, positioned as an alternative to a purely technical open elective.
- Unit 1: Entrepreneurial competence — personality traits and skills of successful entrepreneurs
- Unit 2: The entrepreneurial environment — business climate and support organizations
- Unit 3: Industrial policies and regulations, including international business
- Unit 4: Business plan preparation — feasibility studies, project profiles, and capital budgeting
- Unit 5: Launching and managing a small business, including incubation and venture capital
Thermal Engineering Lab
hands-on testing of engines, fuels, and compressors that verifies the thermodynamic and combustion theory taught in the lecture course.
- Engine timing-diagram determination and fuel-property tests (flash/fire point, viscosity)
- Engine performance testing: Morse test, heat-balance test, and load testing on petrol/diesel engines
- Compressor performance testing and boiler/solar-PV installation demonstrations
Theory of Machines Lab
practical verification of the kinematics, vibration, and balancing theory covered in the Theory of Machines lecture course.
- Gyroscope motion, governor characteristics, and flywheel moment-of-inertia experiments
- Damped and undamped free/forced vibration frequency determination
- Cam-follower displacement plotting, slider-crank kinematics, and gear-type demonstrations
Machine Tools and Metrology Lab
combines hands-on machine-tool operation with dimensional inspection practice, directly reinforcing the paired lecture course.
- Machine tools section: lathe, drilling, shaping, slotting, and milling operations including gear indexing
- Metrology section: calibration of verniers/micrometers, machine-tool alignment tests, and thread/surface-roughness inspection
Tinkering Lab
a hands-on prototyping course meant to build maker-space fluency (electronics, Arduino, 3D printing) alongside formal coursework.
- Basic electronics and circuit-building exercises (breadboard circuits, traffic-light and street-light simulations)
- Arduino/ESP32 microcontroller exercises — LED control, sensor interfacing, and mobile-app control
- 3D-design and design-thinking exercises, including printing a walking robot and redesigning a motorbike
Community Service Internship
(evaluation credit) — the PDF lists only the credit line for evaluating this internship in III Year I Semester; it carries no unit-wise syllabus of its own, since the internship content is fieldwork defined by the community placement rather than classroom topics.
