Course Structure Overview

The engineering program at Aryavart University Sehore is structured over eight semesters, with a balanced mix of foundational courses, core engineering principles, departmental electives, science electives, and laboratory sessions. Each semester includes a combination of theory classes, lab work, tutorials, and project-based assignments designed to develop both technical proficiency and practical application skills.

Semester	Course Code	Course Title	Credit Structure (L-T-P-C)	Prerequisites
1	ENG101	Engineering Mathematics I	3-1-0-4	-
1	PHY101	Physics for Engineers	3-1-0-4	-
1	CHM101	Chemistry for Engineers	3-1-0-4	-
1	ESC101	Introduction to Engineering	2-0-2-4	-
1	ECE101	Basic Electrical Circuits	3-1-0-4	-
1	CSE101	Introduction to Programming	2-0-2-4	-
1	ENG102	Engineering Graphics	2-0-2-4	-
1	MAT101	Calculus I	3-0-0-3	-
2	ENG201	Engineering Mathematics II	3-1-0-4	ENG101
2	MAT201	Calculus II	3-0-0-3	MAT101
2	PHY201	Thermodynamics	3-1-0-4	PHY101
2	ECE201	Electrical Circuits & Machines	3-1-0-4	ECE101
2	CSE201	Data Structures & Algorithms	3-1-0-4	CSE101
2	MAT202	Linear Algebra	3-0-0-3	MAT101
2	MEC201	Strength of Materials	3-1-0-4	ENG101
2	CIV201	Introduction to Civil Engineering	2-0-2-4	-
3	ENG301	Signals & Systems	3-1-0-4	ENG201
3	MAT301	Differential Equations	3-0-0-3	MAT201
3	CSE301	Database Management Systems	3-1-0-4	CSE201
3	ECE301	Control Systems	3-1-0-4	ECE201
3	MEC301	Thermal Engineering	3-1-0-4	PHY201
3	CIV301	Structural Analysis	3-1-0-4	MEC201
3	BIO301	Biomedical Instrumentation	3-1-0-4	-
3	CHM301	Chemical Reaction Engineering	3-1-0-4	CHM101
4	ENG401	Probability & Statistics	3-1-0-4	MAT201
4	CSE401	Software Engineering	3-1-0-4	CSE301
4	ECE401	Digital Electronics	3-1-0-4	ECE201
4	MEC401	Manufacturing Processes	3-1-0-4	MEC301
4	CIV401	Transportation Engineering	3-1-0-4	CIV301
4	BIO401	Biomaterials	3-1-0-4	BIO301
4	CHM401	Process Design	3-1-0-4	CHM301
5	CSE501	Artificial Intelligence & Machine Learning	3-1-0-4	CSE401
5	ECE501	Embedded Systems	3-1-0-4	ECE401
5	MEC501	Robotics & Automation	3-1-0-4	MEC401
5	CIV501	Environmental Engineering	3-1-0-4	CIV401
5	BIO501	Medical Imaging	3-1-0-4	BIO401
5	CHM501	Renewable Energy Systems	3-1-0-4	CHM401
6	CSE601	Cybersecurity & Information Assurance	3-1-0-4	CSE501
6	ECE601	VLSI Design	3-1-0-4	ECE501
6	MEC601	Aerospace Propulsion Systems	3-1-0-4	MEC501
6	CIV601	Construction Management	3-1-0-4	CIV501
6	BIO601	Healthcare Robotics	3-1-0-4	BIO501
6	CHM601	Industrial Biotechnology	3-1-0-4	CHM501
7	CSE701	Data Science & Big Data Analytics	3-1-0-4	CSE601
7	ECE701	Telecommunications	3-1-0-4	ECE601
7	MEC701	Advanced Manufacturing Technologies	3-1-0-4	MEC601
7	CIV701	Urban Planning & Development	3-1-0-4	CIV601
7	BIO701	Regenerative Medicine Technologies	3-1-0-4	BIO601
7	CHM701	Environmental Remediation	3-1-0-4	CHM601
8	CSE801	Capstone Project - AI & ML	2-0-4-6	CSE701
8	ECE801	Final Year Thesis - Embedded Systems	2-0-4-6	ECE701
8	MEC801	Capstone Project - Robotics	2-0-4-6	MEC701
8	CIV801	Final Year Thesis - Transportation Engineering	2-0-4-6	CIV701
8	BIO801	Capstone Project - Healthcare Robotics	2-0-4-6	BIO701
8	CHM801	Final Year Thesis - Sustainable Chemistry	2-0-4-6	CHM701

Advanced Departmental Elective Courses

The department offers a wide range of advanced elective courses that allow students to explore specialized areas within their field of interest. These courses are designed to provide in-depth knowledge and practical skills required for cutting-edge research and industry applications.

• Artificial Intelligence & Machine Learning: This course covers fundamental concepts in machine learning, neural networks, deep learning architectures, natural language processing, computer vision, reinforcement learning, and ethical considerations in AI. Students gain hands-on experience through projects involving real-world datasets and applications.
• Cybersecurity & Information Assurance: Designed to equip students with the skills necessary for protecting digital assets and infrastructure from cyber threats. Topics include network security protocols, cryptography, malware analysis, penetration testing, incident response, and compliance frameworks.
• Data Science & Big Data Analytics: Focuses on data collection, cleaning, visualization, statistical modeling, and machine learning techniques applied to large-scale datasets. Students learn tools like Python, R, SQL, Hadoop, Spark, and Tableau while working on real-world problems in finance, healthcare, e-commerce, and more.
• Embedded Systems: Explores the design and implementation of embedded systems using microcontrollers, real-time operating systems, hardware-software co-design, sensor integration, and wireless communication. Students build functional prototypes of smart devices and IoT applications.
• VLSI Design: Covers the principles and techniques used in designing very large-scale integrated circuits (VLSI). Topics include logic synthesis, layout design, timing analysis, power optimization, and fabrication processes for modern semiconductor technologies.
• Robotics & Automation: Introduces students to robotics fundamentals, kinematics, dynamics, control systems, sensor fusion, navigation algorithms, and human-robot interaction. Projects involve designing and building autonomous robots capable of performing complex tasks in simulated environments.
• Aerospace Propulsion Systems: Analyzes the theory and design of propulsion systems used in aircraft and spacecraft. Students study thermodynamics, fluid mechanics, combustion processes, turbine engines, rocket motors, and alternative propulsion technologies such as electric thrusters and scramjets.
• Environmental Engineering: Provides insights into pollution control, waste management, water treatment, air quality monitoring, sustainable development, climate change impacts, and environmental impact assessment. Students engage in fieldwork and laboratory experiments related to real-world environmental challenges.
• Construction Management: Teaches the principles of project planning, scheduling, budgeting, risk management, quality control, procurement strategies, and legal aspects of construction projects. Students work on case studies involving major infrastructure developments and learn to use software tools for managing complex construction operations.
• Healthcare Robotics: Combines engineering with biomedical applications to develop robotic systems that assist in patient care, surgery, rehabilitation, diagnostics, and telemedicine. Students explore topics such as surgical robotics, prosthetics, exoskeletons, medical imaging, and bio-inspired design principles.

Project-Based Learning Philosophy

The department strongly emphasizes project-based learning to foster innovation, teamwork, and real-world problem-solving capabilities. Students are encouraged to initiate projects from their early semesters, working closely with faculty advisors to refine ideas and implement solutions.

Mini-Projects

Throughout the program, students undertake mini-projects that serve as stepping stones toward larger capstone initiatives. These projects typically span one semester and involve small teams (3-5 members) tackling specific engineering challenges under faculty supervision. Mini-projects are assessed based on innovation, technical execution, presentation quality, and peer evaluation.

Final-Year Thesis/Capstone Project

The capstone project is a significant component of the final year curriculum, requiring students to demonstrate comprehensive understanding of their chosen field. The project involves identifying a relevant problem, conducting literature review, designing a solution, implementing it through experimentation or simulation, and presenting findings in written reports and oral presentations.

Students select projects based on their interests, faculty availability, and available resources. Faculty mentors guide students throughout the process, providing feedback, suggesting improvements, and ensuring adherence to academic standards. Successful completion of the capstone project often leads to publication opportunities, patent filings, or startup incubation.