Course Schedule and Structure
The engineering program at The Charutar Vidya Mandal CVM University Anand is structured over eight semesters, with each semester comprising a mix of core courses, departmental electives, science electives, and laboratory sessions. Below is the detailed course schedule:
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Graphics | 2-0-0-2 | - |
| 1 | MAT101 | Calculus I | 3-0-0-3 | - |
| 1 | PHY101 | Physics I | 3-0-0-3 | - |
| 1 | CHE101 | Chemistry I | 3-0-0-3 | - |
| 1 | BIO101 | Biology I | 2-0-0-2 | - |
| 1 | CS101 | Introduction to Programming | 2-0-2-3 | - |
| 1 | ENG102 | Engineering Mechanics | 3-0-0-3 | MAT101 |
| 2 | MAT102 | Calculus II | 3-0-0-3 | MAT101 |
| 2 | PHY102 | Physics II | 3-0-0-3 | PHY101 |
| 2 | CHE102 | Chemistry II | 3-0-0-3 | CHE101 |
| 2 | BIO102 | Biology II | 2-0-0-2 | BIO101 |
| 2 | CS102 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| 2 | ENG103 | Electrical Circuits | 3-0-0-3 | ENG102 |
| 3 | MAT201 | Differential Equations | 3-0-0-3 | MAT102 |
| 3 | PHY201 | Thermodynamics | 3-0-0-3 | PHY102 |
| 3 | CHE201 | Organic Chemistry | 3-0-0-3 | CHE102 |
| 3 | CS201 | Database Management Systems | 3-0-0-3 | CS102 |
| 3 | ENG201 | Mechanics of Materials | 3-0-0-3 | ENG103 |
| 3 | ENG202 | Fluid Mechanics | 3-0-0-3 | PHY201 |
| 4 | MAT202 | Linear Algebra | 3-0-0-3 | MAT201 |
| 4 | PHY202 | Electromagnetism | 3-0-0-3 | PHY201 |
| 4 | CHE202 | Inorganic Chemistry | 3-0-0-3 | CHE201 |
| 4 | CS202 | Computer Networks | 3-0-0-3 | CS201 |
| 4 | ENG203 | Machine Design | 3-0-0-3 | ENG201 |
| 4 | ENG204 | Heat Transfer | 3-0-0-3 | PHY201 |
| 5 | MAT301 | Probability and Statistics | 3-0-0-3 | MAT202 |
| 5 | PHY301 | Optics and Lasers | 3-0-0-3 | PHY202 |
| 5 | CHE301 | Physical Chemistry | 3-0-0-3 | CHE202 |
| 5 | CS301 | Operating Systems | 3-0-0-3 | CS202 |
| 5 | ENG301 | Structural Analysis | 3-0-0-3 | ENG204 |
| 5 | ENG302 | Dynamics of Machines | 3-0-0-3 | ENG203 |
| 6 | MAT302 | Numerical Methods | 3-0-0-3 | MAT301 |
| 6 | PHY302 | Quantum Physics | 3-0-0-3 | PHY301 |
| 6 | CHE302 | Chemical Kinetics | 3-0-0-3 | CHE301 |
| 6 | CS302 | Software Engineering | 3-0-0-3 | CS301 |
| 6 | ENG303 | Transportation Engineering | 3-0-0-3 | ENG301 |
| 6 | ENG304 | Control Systems | 3-0-0-3 | ENG204 |
| 7 | MAT401 | Advanced Calculus | 3-0-0-3 | MAT302 |
| 7 | PHY401 | Nuclear Physics | 3-0-0-3 | PHY302 |
| 7 | CHE401 | Environmental Chemistry | 3-0-0-3 | CHE302 |
| 7 | CS401 | Machine Learning | 3-0-0-3 | CS302 |
| 7 | ENG401 | Geotechnical Engineering | 3-0-0-3 | ENG303 |
| 7 | ENG402 | Project Management | 3-0-0-3 | ENG304 |
| 8 | MAT402 | Topology | 3-0-0-3 | MAT401 |
| 8 | PHY402 | Relativity | 3-0-0-3 | PHY401 |
| 8 | CHE402 | Biochemistry | 3-0-0-3 | CHE401 |
| 8 | CS402 | Embedded Systems | 3-0-0-3 | CS401 |
| 8 | ENG403 | Final Year Project | 4-0-0-4 | ENG402 |
| 8 | ENG404 | Industrial Training | 0-0-0-2 | ENG403 |
Advanced Departmental Elective Courses
Departmental electives are offered to allow students to specialize in areas of interest. Here are descriptions of some advanced courses:
1. Machine Learning (CS401): This course delves into supervised and unsupervised learning algorithms, deep neural networks, reinforcement learning, and natural language processing. Students learn how to implement these techniques using Python and TensorFlow libraries.
2. Embedded Systems (CS402): The course covers microcontroller architectures, real-time operating systems, hardware-software co-design, and IoT applications. Practical labs involve programming ARM-based boards and integrating sensors with embedded software.
3. Control Systems (ENG304): Students explore classical control theory, state-space analysis, frequency response methods, and digital control design. The course includes simulations using MATLAB/Simulink and practical implementations in lab settings.
4. Geotechnical Engineering (ENG401): This elective examines soil mechanics, foundation design, slope stability, and groundwater flow. Practical sessions include soil testing, laboratory experiments, and site visits to construction sites.
5. Renewable Energy Systems (ENG302): The course covers solar power systems, wind turbines, hydroelectric generation, and energy storage solutions. Students analyze real-world case studies and conduct small-scale renewable energy projects.
6. Software Engineering (CS302): Focuses on software architecture, agile development, testing strategies, and project management tools. Students work in teams to develop full-stack applications using modern frameworks like React and Node.js.
7. Transportation Engineering (ENG303): This course explores traffic flow theory, highway design, urban transportation planning, and intelligent transportation systems. Labs involve simulation software and data analysis tools for traffic modeling.
8. Nuclear Physics (PHY402): Covers atomic nuclei, nuclear reactions, radiation detection, and applications in energy production. Students perform experiments using gamma-ray spectroscopy and neutron activation techniques.
9. Advanced Calculus (MAT402): Extends concepts of calculus to higher dimensions, vector fields, differential equations, and integral transforms. Emphasis on theoretical rigor and application in engineering problems.
10. Biochemistry (CHE402): Studies biochemical processes at molecular level, enzyme kinetics, metabolic pathways, and biotechnology applications. Laboratory sessions include protein purification, DNA sequencing, and enzyme assay techniques.
Project-Based Learning Philosophy
Our department strongly believes in project-based learning as a means to develop critical thinking and practical skills among students. The curriculum integrates mini-projects throughout the program, culminating in a final-year thesis or capstone project.
Mini-projects are assigned at various stages of the program to reinforce classroom learning. These projects typically last 2-4 weeks and involve problem-solving tasks related to current engineering challenges. For example, first-year students might be tasked with designing a basic mechanical structure, while second-year students could work on optimizing algorithms for data processing.
The final-year project is a comprehensive endeavor that spans the entire semester. Students select a topic relevant to their specialization and work under the guidance of a faculty mentor. The project involves research, experimentation, documentation, and presentation skills. A panel of experts evaluates each project based on innovation, technical depth, and clarity of communication.
Faculty mentors are selected based on expertise and availability. Students have the opportunity to propose topics aligned with their interests or suggest ideas from industry partners. Regular progress meetings ensure that projects stay on track and meet academic standards.