Comprehensive Course Structure

The VLSI Design curriculum is designed to provide students with a robust foundation in both theoretical and practical aspects of integrated circuit design. The program spans four years, with each year building upon the previous one to ensure a deep understanding of complex topics.

Year One: Foundation Building

The first year focuses on establishing a strong base in mathematics, physics, and basic electronics. Students are introduced to programming concepts through languages such as C and Python, which are essential for simulation and automation tasks in VLSI design.

Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
I	CS101	Programming Fundamentals	3-0-0-3	None
I	EC101	Basic Electronics	3-0-0-3	None
I	PH101	Physics for Engineers	3-0-0-3	None
I	MA101	Mathematics I	4-0-0-4	None
I	ME101	Engineering Drawing	2-0-0-2	None
I	EC102	Digital Logic Design	3-0-0-3	None

Year Two: Core Engineering Concepts

In the second year, students delve deeper into core engineering concepts with courses covering microprocessor architecture, embedded systems, and computer organization. These subjects provide essential knowledge for understanding how complex systems operate at a low level.

Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
II	EC201	Microprocessor Architecture	3-0-0-3	EC102
II	CS201	Data Structures and Algorithms	3-0-0-3	CS101
II	EC202	Signals and Systems	3-0-0-3	PH101, MA101
II	EC203	Embedded Systems	3-0-0-3	EC102, CS101
II	MA201	Mathematics II	4-0-0-4	MA101

Year Three: Specialized VLSI Topics

The third year introduces specialized topics in VLSI design including circuit simulation, physical design, and verification techniques. Students gain hands-on experience with industry-standard tools and work on projects that simulate real-world challenges.

Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
III	EC301	VLSI Design Principles	3-0-0-3	EC201, EC202
III	EC302	Physical Design of VLSI Circuits	3-0-0-3	EC301
III	EC303	Circuit Simulation and Modeling	3-0-0-3	EC202
III	EC304	Design Verification Techniques	3-0-0-3	EC301
III	EC305	VLSI Lab I	0-0-6-2	EC301

Year Four: Advanced Projects and Capstone

The final year focuses on capstone projects, where students apply their knowledge to solve complex problems. They work closely with faculty mentors and often collaborate with industry partners to develop innovative solutions.

Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
IV	EC401	Advanced VLSI Design	3-0-0-3	EC302, EC304
IV	EC402	VLSI System Integration	3-0-0-3	EC401
IV	EC403	VLSI Capstone Project	0-0-12-6	EC301, EC302, EC304
IV	EC404	VLSI Thesis	0-0-6-3	EC401, EC402

Advanced Departmental Electives

Students can choose from a wide array of advanced departmental electives that align with their interests and career goals:

• Machine Learning for VLSI: This course explores how machine learning techniques can be applied to automate design processes, improve optimization, and enhance performance in VLSI systems. Students learn to implement ML models for predicting circuit behavior and optimizing layouts.
• Low Power VLSI Design: Focused on reducing energy consumption in electronic circuits, this course covers power management strategies, dynamic voltage scaling, and architectural optimizations. It prepares students for roles in battery-powered devices and mobile electronics.
• RF and Analog VLSI Design: Designed for those interested in wireless communication systems, this elective delves into analog circuit design, noise analysis, and RF transceiver architecture. Students gain practical experience using tools like Cadence and ADS.
• System-on-Chip (SoC) Architecture: This course provides an overview of SoC design principles, including hardware-software co-design, memory hierarchy optimization, and integration of multiple IP blocks into a single chip.
• Hardware Security & Cryptography: Emphasizing the protection of integrated circuits against tampering and unauthorized access, this course covers techniques for secure design, side-channel attacks, and cryptographic implementations in hardware.
• Design Automation Techniques: Students explore automated methods for circuit synthesis, place-and-route algorithms, and optimization techniques using commercial tools like Synopsys and Cadence.
• VLSI Testing and Reliability: This elective covers testing methodologies, fault models, and reliability analysis in VLSI systems. It prepares students to ensure high-quality products through systematic testing and validation.
• Advanced Process Technologies: An overview of the latest developments in semiconductor manufacturing, including FinFETs, GAA, and beyond. Students learn about process variations, yield optimization, and future trends in chip fabrication.

The department's philosophy on project-based learning emphasizes experiential education and real-world problem-solving. Mini-projects are assigned throughout the program to reinforce concepts learned in lectures and labs. These projects typically involve designing a simple circuit or algorithm and implementing it using industry-standard tools.

For the final-year capstone project, students select a topic under the guidance of a faculty mentor. The selection process involves multiple rounds of proposal evaluation, ensuring that each student's project is both challenging and feasible. Projects often lead to publishable results or patents, contributing significantly to academic and industrial advancement.

Students also have opportunities to participate in research programs funded by DST, MeitY, and private companies. These initiatives provide exposure to cutting-edge technologies and allow students to contribute to groundbreaking discoveries in VLSI design.