Jawaharlal Nehru Technological University Anantapur (JNTUA) periodically updates its curriculum framework to align with evolving industry standards and educational best practices. The regulations designated R23, R21, R20, and R19 represent distinct academic structures applicable to different batches of students. This article provides a detailed overview of the JNTUA Syllabus structures across these regulations for B.Tech, with insights into the general framework for MBA and MCA programs.
JNTUA follows a credit-based system where each regulation defines the course structure, credit distribution, and curriculum across semesters. The regulations are batch-specific:
R23: Applicable for students admitted from the academic year 2023-2024 onwards
R21: Applicable for students admitted from 2021-2022
R20: Applicable for students admitted from 2020-2021
R19: Applicable for students admitted from 2019-2020
Each regulation builds upon its predecessor, incorporating contemporary topics, emerging technologies, and revised pedagogical approaches.
JNTUA updates its syllabus periodically to match industry trends and academic standards. These regulations define:
👉 Example:
These regulations apply across multiple UG and PG programs offered by JNTUA.
Applicable for students admitted from 2023 onwards, R23 is the most modern curriculum.
R23 also includes an induction program with activities like yoga, career counseling, and aptitude development.
Applicable for 2020–2022 batch students.
Example subjects like Algorithms, OOPs (Java), and Digital Electronics are part of the core curriculum.
Applicable for 2019–2020 batch.
| Year | Focus Area |
|---|---|
| 1st Year | Basic Sciences + Programming |
| 2nd Year | Core Branch Subjects |
| 3rd Year | Advanced Topics + Electives |
| 4th Year | Projects + Specialization |
JNTUA offers B.Tech across multiple branches like CSE, ECE, EEE, Civil, Mechanical, IT, AI & Data Science etc.
The MBA program at JNTUA follows R21 regulation, designed to build managerial and leadership skills.
MBA syllabus is structured semester-wise with complete course coverage for all 4 semesters.
| Year | Subjects |
| 1st Year | Programming + Basics |
| 2nd Year | Core CS Subjects |
| Final Year | Project + Advanced Topics |
MCA syllabus across regulations is divided into 6 semesters (older) or 4 semesters (newer).
| Feature | R23 | R20 | R19 |
| Focus | Industry + Skills | Balanced | Theory-based |
| Technology | AI, IoT, Data Science | Moderate | Limited |
| Flexibility | High | Medium | Low |
| Curriculum Type | Modern | Updated | Traditional |
R23 is the most advanced and industry-aligned syllabus.
The R23 regulation represents the most current curriculum framework, featuring a well-defined credit distribution across semesters. The structure emphasizes a balanced mix of Basic Sciences (BS), Engineering Sciences (ES), Humanities and Social Sciences (HS), and Professional Core (PC) courses.
| S.No | Category | Course Name | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | BS | Linear Algebra & Calculus | 3 | 0 | 0 | 3 |
| 2 | BS | Engineering Physics | 3 | 0 | 0 | 3 |
| 3 | HS | Communicative English | 2 | 0 | 0 | 2 |
| 4 | ES | Basic Civil & Mechanical Engineering | 3 | 0 | 0 | 3 |
| 5 | ES | Introduction to Programming | 3 | 0 | 0 | 3 |
| 6 | HS | Communicative English Lab | 0 | 0 | 2 | 1 |
| 7 | BS | Engineering Physics Lab | 0 | 0 | 2 | 1 |
| 8 | ES | Engineering Workshop | 0 | 0 | 3 | 1.5 |
| 9 | ES | IT Workshop | 0 | 0 | 2 | 1 |
| 10 | ES | Computer Programming Lab | 0 | 0 | 3 | 1.5 |
| 11 | Audit | Health and Wellness, Yoga and Sports | 0 | 0 | 1 | 0.5 |
| Total | 20.5 |
| S.No | Category | Course Name | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | BS | Differential Equations and Vector Calculus | 3 | 0 | 0 | 3 |
| 2 | BS | Chemistry | 3 | 0 | 0 | 3 |
| 3 | ES | Engineering Graphics | 1 | 0 | 4 | 3 |
| 4 | ES | Basic Electrical & Electronics Engineering | 3 | 0 | 0 | 3 |
| 5 | PC | Data Structures | 3 | 0 | 0 | 3 |
| 6 | BS | Chemistry Lab | 0 | 0 | 2 | 1 |
| 7 | ES | Electrical & Electronics Engineering Workshop | 0 | 0 | 3 | 1.5 |
| 8 | PC | Data Structures Lab | 0 | 0 | 3 | 1.5 |
| 9 | Audit | NSS/NCC/Scouts & Guides/Community Service | 0 | 0 | 1 | 0.5 |
| Total | 19.5 |
The second year introduces core computer science subjects and skill enhancement courses:
| S.No | Category | Course Name | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | BS | Mathematical Foundations of Computer Science | 3 | 0 | 0 | 3 |
| 2 | HSMC | Universal Human Values-Understanding Harmony & Ethical Human Conduct | 2 | 1 | 0 | 3 |
| 3 | ES | Digital Logic & Computer Organization | 3 | 0 | 0 | 3 |
| 4 | PC | Advanced Data Structures | 3 | 0 | 0 | 3 |
| 5 | PC | Database Management Systems | 3 | 0 | 0 | 3 |
| 6 | PC | Advanced Data Structures Lab | 0 | 0 | 3 | 1.5 |
| 7 | PC | Database Management Systems Lab | 0 | 0 | 3 | 1.5 |
| 8 | SEC | Python Programming | 0 | 1 | 2 | 2 |
| 9 | Audit | Environmental Science | 2 | 0 | 0 | – |
| Total | 20 |
This semester introduces management electives and specialized programming:
| S.No | Category | Course Name | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | Management Elective-I | Managerial Economics and Financial Analysis | 2 | 0 | 0 | 2 |
| 2 | BS | Probability & Statistics | 3 | 0 | 0 | 3 |
| 3 | PC | Operating Systems | 3 | 0 | 0 | 3 |
| 4 | PC | Object Oriented Programming Through JAVA | 3 | 0 | 0 | 3 |
| 5 | PC | Formal Languages and Automata Theory | 3 | 0 | 0 | 3 |
| 6 | PC | Object Oriented Programming Through JAVA Lab | 0 | 0 | 3 | 1.5 |
| 7 | SEC | Full Stack Development-I | 0 | 1 | 2 | 2 |
| 8 | BS&H | Design Thinking & Innovations | 1 | 0 | 2 | 2 |
| Total | 21 |
Induction Program: A comprehensive induction program covering physical activities, career counselling, branch orientation, and proficiency modules before the start of regular classes
Skill Enhancement Courses: Integration of Python Programming and Full Stack Development as SEC courses
Audit Courses: Mandatory non-credit courses including Environmental Science, Health and Wellness, Yoga and Sports
Universal Human Values: A dedicated course on ethics and harmony
The R23 curriculum is also available for other branches like Mechanical Engineering. The II Year I Semester for ME includes:
| S.No | Category | Course Name | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | BS | Transforms & Numerical Methods | 3 | 0 | 0 | 3 |
| 2 | HSMC | Universal Human Values | 2 | 1 | 0 | 3 |
| 3 | ES | Material Science and Metallurgy | 2 | 0 | 0 | 2 |
| 4 | PCC | Mechanics of Solids | 3 | 0 | 0 | 3 |
| 5 | PCC | Thermodynamics | 3 | 0 | 0 | 3 |
| 6 | PCC | Mechanics of Solids and Materials Science Lab | 0 | 0 | 3 | 1.5 |
| 7 | PCC | Machine Drawing | 0 | 0 | 3 | 1.5 |
| 8 | ES | Python Programming Lab | 0 | 0 | 2 | 1.0 |
| 9 | SEC | Computer Aided Drafting and Modeling Lab | 0 | 1 | 2 | 2 |
| 10 | Audit | Environmental Science | 2 | 0 | 0 | – |
| Total | 20 |
The III Year I Semester for ME includes Professional Electives and Open Electives, covering Machine Tools and Metrology, Thermal Engineering, Theory of Machines, and specialized electives like Sustainable Energy Technologies and Applied Operations Research.
The R21 regulation emphasizes program outcomes and Bloom’s Taxonomy levels for each course. This approach ensures measurable learning outcomes aligned with cognitive skill development.
| S.No | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | BS | Mathematics-I | 3 | 1 | 0 | 4.0 |
| 2 | BS | Applied Physics | 3 | 1 | 0 | 4.0 |
| 3 | BS Lab | Physics Lab | 0 | 0 | 3 | 1.5 |
| 4 | H&S | English | 2 | 0 | 0 | 2.0 |
| 5 | H&S Lab | English Language Skills Lab (ELSL) | 0 | 0 | 2 | 1.0 |
| 6 | ES | Programming for Problem Solving-I | 2 | 0 | 0 | 2.0 |
| 7 | ES Lab | Programming for Problem Solving Lab-I | 0 | 0 | 2 | 1.0 |
| 8 | ES | Engineering Graphics & Modeling | 1 | 0 | 3 | 2.5 |
| Total | 17.0 |
| S.No | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | BS | Mathematics-II | 3 | 1 | 0 | 4.0 |
| 2 | BS | Chemistry | 3 | 1 | 0 | 4.0 |
| 3 | BS Lab | Chemistry Lab | 0 | 0 | 3 | 1.5 |
| 4 | ES | Basic Electrical Engineering | 3 | 0 | 0 | 3.0 |
| 5 | ES Lab | Basic Electrical Engineering Lab | 0 | 0 | 2 | 1.0 |
| 6 | ES Lab | Engineering Workshop | 0 | 1 | 3 | 2.5 |
| 7 | H&S Lab | English Communication Skills Lab (ECSL) | 0 | 0 | 2 | 1.0 |
| 8 | ES | Programming for Problem Solving-II | 2 | 0 | 0 | 2.0 |
| 9 | ES Lab | Programming for Problem Solving Lab-II | 0 | 0 | 2 | 1.0 |
| Total | 20.0 |
The R21 regulation explicitly maps course outcomes to Bloom’s Taxonomy levels. For example, Mathematics-I outcomes include:
CO1: Write the matrix representation of system of linear equations and identify consistency (Level 1 – Remember)
CO2: Find Eigen values and Eigen vectors and discuss nature of quadratic form (Level 4 – Analyze)
CO5: Examine extrema of functions of two variables with/without constraints (Level 5 – Evaluate)
Programming for Problem Solving-I outcomes include:
CO1: Design Algorithms and Flowcharts for real-world applications using ‘C’ (Level 6 – Create)
CO5: Analyze various searching and sorting techniques using Arrays (Level 4 – Analyze)
For Electrical and Electronics Engineering, the II Year I Semester includes specialized core courses:
| S.No | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | BS | Complex Analysis & Fourier Transforms | 3 | 0 | 0 | 3 |
| 2 | H&S | Professional Communication | 2 | 0 | 0 | 2 |
| 3 | ES | Electronic Devices and Circuits | 3 | 0 | 0 | 3 |
| 4 | PC | Network Analysis | 3 | 0 | 0 | 3 |
| 5 | PC | Electro Magnetic Fields | 3 | 0 | 0 | 3 |
| 6 | PC | Electrical Machines-I | 4 | 0 | 0 | 4 |
| 7 | PC Lab | Basic Simulation Tools Lab | 0 | 0 | 2 | 1 |
| 8 | PC Lab | Electrical Circuits Lab | 0 | 0 | 2 | 1 |
| 9 | MC | Environmental Science | 2 | 0 | 0 | 0 |
| Total | 20 |
The R20 regulation follows a similar structure to R21 but with some variations in course offerings and credit distribution.
The R20 syllabus for Mechanical Engineering includes specialized courses like Dynamics of Machinery with detailed unit-wise coverage:
Course: (20A03601) DYNAMICS OF MACHINERY – L-T-P-C: 3-0-0-3
Unit I – Friction and Power Screws:
Inclined plane, friction of screws and nuts, pivot and collar
Power screws: Forms of threads, self-locking of screws, efficiency of different screws
Unit II – Precession, Turning Moment Diagram and Fly Wheel:
Gyroscopes, effect of precession on stability of moving vehicles
Turning moment diagrams for steam engine, IC Engine, and multi-cylinder engine
Unit III – Governors:
Watt, Porter, and Proell governors
Spring loaded governors: Hartnell and Hartung governors
Sensitiveness, isochronism, hunting, effort, and power of a governor
Unit IV – Balancing:
Balancing of rotating masses: single and multiple, different planes
Balancing of reciprocating masses: Primary and secondary balancing
Unit V – Vibration:
Free and forced vibration of single degree of freedom systems
Whirling of shafts and critical speeds
Vibration isolation and transmissibility
The R20 regulation for CSE with Data Science specialization includes courses like:
V Semester:
Data Management Techniques
Artificial Intelligence
Foundations of Data Analytics
Professional Electives: Advanced Databases, Data Warehousing and Data Mining, Object Oriented Programming through Java
Digital and Social Media Marketing (Skill-oriented course)
VI Semester:
Machine Learning
Cloud Computing
Data Visualization
Professional Electives: Predictive Analytics, Internet of Things, Computer Graphics
Soft Skills (Skill-oriented course)
Intellectual Property Rights & Patents (Mandatory non-credit course)
| Feature | R23 | R21 | R20 |
|---|---|---|---|
| Induction Program | Comprehensive 10-module program | Not specifically highlighted | Limited |
| Credit System | L-T-P-C format with fractional credits | L-T-P-C format | L-T-P-C format |
| Bloom’s Taxonomy Mapping | Not explicitly shown | Explicitly mapped for each course | Not prominently featured |
| Skill Enhancement Courses | Python, Full Stack Development, Design Thinking | Programming labs, Communication skills | Digital Marketing, Soft Skills |
| Audit/Mandatory Courses | Environmental Science, Yoga, NSS | Environmental Science, Gender Sensitization | Intellectual Property Rights, Environmental Science |
| MOOCs Integration | Not emphasized | Not emphasized | Mentioned for Honours/Minor degrees |
While the search results primarily focus on B.Tech programs, the regulatory framework for MBA and MCA follows similar principles. Based on the broader JNTUA curriculum pattern:
MBA Program typically follows a semester pattern with:
Core management courses covering Finance, Marketing, Human Resources, Operations, and Strategy
Skill-oriented courses and soft skills development
Industry internships and project work
Elective specializations in various functional areas
MCA Program generally includes:
Core computer science subjects: Programming, Data Structures, Database Management, Operating Systems, Computer Networks
Advanced topics: Artificial Intelligence, Cloud Computing, Data Science, Cyber Security
Skill-oriented courses and laboratory work
Project work and industrial training
The credit distribution and course offerings would vary based on the regulation year, with R23 being the most current and incorporating the latest industry-relevant topics.
| Course Type | Program | Duration | Core Subjects / Areas | Remarks |
|---|---|---|---|---|
| UG | B.Tech (Engineering) | 4 Years | Mathematics, Physics, Chemistry, Programming, Core Branch Subjects (CSE, ECE, EEE, Civil, Mechanical, IT, etc.), Labs, Projects | Multiple regulations (R23, R21, R20 etc.) |
| UG | B.Pharmacy | 4 Years | Pharmaceutical Chemistry, Pharmacology, Pharmaceutics, Pharmacognosy, Biochemistry, Clinical Pharmacy | Includes lab + practical training |
| UG | Pharm.D | 6 Years | Clinical Pharmacy, Hospital Pharmacy, Pharmacotherapeutics, Patient Care | Industry + hospital exposure |
| PG | M.Tech | 2 Years | Advanced Engineering Subjects (Structural, Power Systems, VLSI, AI, Manufacturing, etc.) | Specialization-based syllabus |
| PG | M.Pharmacy | 2 Years | Advanced Pharmaceutics, Drug Analysis, Pharmacology, Industrial Pharmacy | Research-oriented |
| PG | MBA | 2 Years | Management, Finance, Marketing, HR, Operations, Business Analytics | Case-study based learning |
| PG | MCA | 2 Years | Programming, Data Structures, DBMS, AI, Software Engineering, Networking | Focus on IT & software |
| Branch | Key Subjects |
|---|---|
| CSE (Computer Science) | Programming, Data Structures, AI, Machine Learning, DBMS, OS |
| ECE | Digital Electronics, Communication Systems, VLSI, Signal Processing |
| EEE | Electrical Machines, Power Systems, Control Systems |
| Mechanical | Thermodynamics, Manufacturing, Fluid Mechanics, Machine Design |
| Civil | Structural Engineering, Geotechnical, Transportation, Environmental |
| IT | Software Engineering, Networking, Cyber Security |
| Chemical | Process Engineering, Thermodynamics, Reaction Engineering |
JNTUA offers multiple engineering branches across UG & PG programs.
| Year | Subjects Covered |
|---|---|
| 1st Year | Basic Sciences (Maths, Physics, Chemistry), Engineering Drawing, Programming |
| 2nd Year | Core Engineering Subjects + Labs |
| 3rd Year | Advanced Core Subjects + Electives |
| 4th Year | Specialized Electives, Major Project, Internship |
First-year syllabus is common across branches in most regulations.
| Component | Description |
|---|---|
| Theory Subjects | Core and elective subjects per semester |
| Practical Labs | Hands-on experiments |
| Mini Projects | Usually from 2nd/3rd year |
| Major Project | Final year project |
| Internships | Industry exposure (mandatory in recent regulations) |
| Credits System | CBCS (Choice Based Credit System) |
JNTUA’s syllabus regulations—R23, R21, R20, and R19—demonstrate a progressive approach to technical education. The R23 regulation stands out with its comprehensive induction program, integration of Universal Human Values, skill enhancement courses in emerging technologies like Python and Full Stack Development, and a well-balanced credit distribution across semesters. The R21 regulation’s emphasis on Bloom’s Taxonomy mapping ensures measurable learning outcomes, while R20 offers specialization tracks like Data Science with courses in Machine Learning, Cloud Computing, and Artificial Intelligence.
For students and faculty, understanding these regulations is essential for academic planning, course selection, and ensuring compliance with university requirements. Students are advised to follow the syllabus applicable to their batch and branch, as detailed in the official university documents available through respective college portals.
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