Curriculum Overview
The Bachelor of Technology (B.Tech) program at Prashanti Institute of Technology and Science is structured to provide a comprehensive education that combines foundational sciences with specialized engineering disciplines. The curriculum is designed to foster innovation, analytical thinking, and practical application skills essential for success in today's competitive landscape.
Course Structure Across 8 Semesters
| Semester | Core Courses | Departmental Electives | Science Electives | Labs |
|---|---|---|---|---|
| 1 | Mathematics I, Physics I, Chemistry I, Introduction to Engineering, English Communication | - | - | Physics Lab I, Chemistry Lab I |
| 2 | Mathematics II, Physics II, Chemistry II, Engineering Graphics, Computer Programming | - | - | Physics Lab II, Chemistry Lab II, Programming Lab |
| 3 | Mathematics III, Physics III, Engineering Mechanics, Thermodynamics, Basic Electronics | Electrical Circuits, Computer Architecture | Environmental Science | Mechanics Lab, Electronics Lab |
| 4 | Mathematics IV, Fluid Mechanics, Heat Transfer, Materials Science, Control Systems | Data Structures & Algorithms, Digital Logic Design | Humanities | Thermodynamics Lab, Control Systems Lab |
| 5 | Engineering Mathematics, Signals & Systems, Electromagnetic Fields, Power Electronics, Microprocessors | Database Management Systems, Computer Networks | - | Microprocessor Lab, Power Electronics Lab |
| 6 | Advanced Mathematics, Software Engineering, Robotics, Automation, Signal Processing | Machine Learning, Cybersecurity | - | Robotics Lab, Automation Lab |
| 7 | Project Management, Ethics in Engineering, Advanced Control Systems, Sustainable Development | Advanced Software Architecture, Embedded Systems | - | Final Year Project Lab |
| 8 | Internship, Final Year Project, Professional Communication | Capstone Research Projects | - | Internship Site |
Advanced Departmental Elective Courses
The department offers a rich selection of advanced elective courses tailored to meet the demands of modern engineering challenges. These courses provide students with specialized knowledge and skills necessary for industry readiness and research aspirations.
Data Structures & Algorithms
This course delves into advanced data structures like trees, graphs, hash tables, and heaps, along with algorithmic design techniques including greedy methods, dynamic programming, and backtracking. Students will implement these concepts using real-world examples and solve complex computational problems.
Computer Networks
Students explore the architecture and protocols of modern computer networks, including TCP/IP stack, routing algorithms, network security, and wireless communication technologies. The course emphasizes both theoretical foundations and practical implementation through lab sessions.
Database Management Systems
This course introduces students to relational database design, SQL queries, normalization, transaction management, and indexing techniques. Practical assignments involve designing and implementing database systems for business applications using tools like Oracle and MySQL.
Digital Logic Design
Students learn about combinational and sequential logic circuits, flip-flops, registers, counters, and memory units. The course includes simulation using tools like VHDL and Verilog, preparing students for hardware design projects in embedded systems.
Machine Learning
This advanced course covers supervised and unsupervised learning algorithms, neural networks, deep learning frameworks, and reinforcement learning. Students gain hands-on experience with libraries like TensorFlow and PyTorch while working on real-world datasets.
Cybersecurity
The course explores network security principles, cryptography, ethical hacking, vulnerability assessment, and incident response strategies. Students learn to protect systems from cyber threats using industry-standard tools and frameworks.
Software Engineering
This course focuses on software development lifecycle, requirements engineering, system design, testing methodologies, and project management practices. Students work on group projects simulating real-world software development environments.
Embedded Systems
Students are introduced to microcontrollers, real-time operating systems, device drivers, and embedded software development. The course emphasizes practical implementation using platforms like Arduino and Raspberry Pi.
Signal Processing
The course covers discrete-time signals and systems, Fourier transforms, Z-transforms, and digital filter design. Applications include audio processing, image enhancement, and biomedical signal analysis using MATLAB and Python.
VLSI Design
This advanced course explores integrated circuit design, CMOS technology, logic synthesis, and physical layout techniques. Students work on designing simple circuits using CAD tools like Cadence and Mentor Graphics.
Power Electronics
Students study power conversion techniques, switching devices, rectifiers, inverters, and motor drives. The course includes practical sessions on building power electronic circuits and analyzing performance characteristics.
Control Systems
This course covers classical and modern control theory, stability analysis, state-space representation, and digital control systems. Students model and simulate control systems using MATLAB and Simulink.
Robotics
Students learn robot kinematics, dynamics, sensor integration, path planning, and autonomous navigation. The course includes hands-on development of robotic platforms for various applications such as industrial automation and healthcare.
Automation & Process Control
The course introduces automation technologies, process control systems, PLC programming, and industrial communication protocols. Students gain experience with SCADA systems and simulation software used in manufacturing environments.
Advanced Software Architecture
This course explores architectural patterns, microservices design, API development, cloud-native applications, and scalability principles. Students learn to design robust software architectures using modern frameworks and deployment strategies.
Internet of Things (IoT)
Students study IoT architecture, sensor networks, wireless protocols, data analytics, and smart city applications. Practical sessions involve developing IoT solutions using platforms like ESP32 and AWS IoT Core.
Project-Based Learning Philosophy
At Prashanti, project-based learning is central to our pedagogical approach. We believe that hands-on experience strengthens theoretical understanding and develops critical thinking skills essential for engineering success.
The program includes mandatory mini-projects in the second and third years, followed by a comprehensive final-year thesis or capstone project. These projects allow students to apply their knowledge to real-world challenges, often in collaboration with industry partners or research labs.
Mini-Projects
Mini-projects are designed to enhance problem-solving abilities and reinforce classroom learning through practical application. Students work in teams to address specific engineering problems under faculty supervision. These projects are evaluated based on technical execution, innovation, teamwork, and presentation quality.
Final-Year Thesis/Capstone Project
The final-year project is a significant component of the B.Tech curriculum, representing the culmination of academic learning and research skills. Students select topics aligned with their interests or industry needs, working closely with faculty mentors throughout the process.
Projects are typically interdisciplinary, involving multiple domains of engineering. Students present their findings in a formal thesis and oral defense, demonstrating mastery of both technical content and communication skills. The project contributes significantly to the student's academic portfolio and prepares them for graduate studies or industry roles.