Course Structure and Credit Distribution
The Bachelor of Engineering program at Dr B R Ambedkar Institute Of Technology Port Blair is structured over eight semesters, with each semester comprising a carefully curated mix of core courses, departmental electives, science electives, and laboratory sessions. The total credit distribution is designed to ensure a balanced academic load, promoting both theoretical understanding and practical application.
| Year | Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisite |
|---|---|---|---|---|---|
| 1 | 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | 1 | ENG102 | Physics for Engineers | 3-1-0-4 | - |
| 1 | 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | - |
| 1 | 1 | ENG104 | Engineering Graphics | 2-1-0-3 | - |
| 1 | 1 | ENG105 | Programming for Engineers | 3-1-0-4 | - |
| 1 | 1 | ENG106 | Workshop Practice | 1-0-0-1 | - |
| 1 | 2 | ENG107 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 1 | 2 | ENG108 | Electrical Engineering Fundamentals | 3-1-0-4 | - |
| 1 | 2 | ENG109 | Engineering Mechanics | 3-1-0-4 | - |
| 1 | 2 | ENG110 | Introduction to Engineering Design | 2-1-0-3 | - |
| 1 | 2 | ENG111 | English for Engineers | 2-0-0-2 | - |
| 2 | 3 | ENG201 | Engineering Mathematics III | 3-1-0-4 | ENG107 |
| 2 | 3 | ENG202 | Signals and Systems | 3-1-0-4 | ENG107 |
| 2 | 3 | ENG203 | Electronic Devices and Circuits | 3-1-0-4 | - |
| 2 | 3 | ENG204 | Material Science | 3-1-0-4 | - |
| 2 | 3 | ENG205 | Computer Organization | 3-1-0-4 | ENG105 |
| 2 | 4 | ENG206 | Engineering Mathematics IV | 3-1-0-4 | ENG201 |
| 2 | 4 | ENG207 | Control Systems | 3-1-0-4 | ENG202 |
| 2 | 4 | ENG208 | Power Systems | 3-1-0-4 | - |
| 2 | 4 | ENG209 | Thermodynamics | 3-1-0-4 | - |
| 2 | 4 | ENG210 | Fluid Mechanics | 3-1-0-4 | - |
| 3 | 5 | ENG301 | Probability and Statistics | 3-1-0-4 | ENG201 |
| 3 | 5 | ENG302 | Microprocessors | 3-1-0-4 | ENG205 |
| 3 | 5 | ENG303 | Communication Systems | 3-1-0-4 | ENG202 |
| 3 | 5 | ENG304 | Structural Analysis | 3-1-0-4 | - |
| 3 | 5 | ENG305 | Design and Analysis of Algorithms | 3-1-0-4 | ENG205 |
| 3 | 6 | ENG306 | Machine Learning | 3-1-0-4 | ENG301 |
| 3 | 6 | ENG307 | Computer Networks | 3-1-0-4 | ENG205 |
| 3 | 6 | ENG308 | Embedded Systems | 3-1-0-4 | ENG205 |
| 3 | 6 | ENG309 | Robotics | 3-1-0-4 | - |
| 3 | 6 | ENG310 | Operations Research | 3-1-0-4 | ENG301 |
| 4 | 7 | ENG401 | Advanced Mathematics | 3-1-0-4 | ENG301 |
| 4 | 7 | ENG402 | Project Management | 3-1-0-4 | - |
| 4 | 7 | ENG403 | Elective I | 3-1-0-4 | - |
| 4 | 7 | ENG404 | Elective II | 3-1-0-4 | - |
| 4 | 7 | ENG405 | Elective III | 3-1-0-4 | - |
| 4 | 8 | ENG406 | Capstone Project | 3-1-0-4 | - |
| 4 | 8 | ENG407 | Elective IV | 3-1-0-4 | - |
| 4 | 8 | ENG408 | Elective V | 3-1-0-4 | - |
| 4 | 8 | ENG409 | Elective VI | 3-1-0-4 | - |
| 4 | 8 | ENG410 | Internship | 3-1-0-4 | - |
Advanced Departmental Elective Courses
The department offers a wide range of advanced departmental elective courses that allow students to specialize in their areas of interest. These courses are designed to provide in-depth knowledge and practical skills in cutting-edge technologies and applications.
Machine Learning
This course introduces students to the fundamental concepts of machine learning, including supervised and unsupervised learning, neural networks, and deep learning. Students will learn to implement machine learning algorithms using Python and TensorFlow, and apply these techniques to real-world problems. The course emphasizes both theoretical understanding and practical implementation, with hands-on labs and project-based assignments.
Computer Networks
Computer Networks explores the architecture and protocols of modern computer networks, including wired and wireless networks, network security, and performance evaluation. Students will gain practical experience in designing and implementing network protocols, configuring routers and switches, and analyzing network traffic. The course includes laboratory sessions where students can experiment with network simulation tools and real network equipment.
Embedded Systems
Embedded Systems focuses on the design and implementation of systems that are embedded within larger devices. Students will learn about microcontrollers, real-time operating systems, and hardware-software co-design. The course includes practical labs where students design and build embedded systems for various applications, such as robotics, IoT devices, and automotive systems.
Robotics
This course provides an overview of robotics, including kinematics, dynamics, control systems, and sensor integration. Students will learn to design and build robotic systems using various programming languages and simulation tools. The course includes hands-on projects where students can build and program robots for different tasks, such as navigation, manipulation, and human-robot interaction.
Operations Research
Operations Research introduces students to mathematical methods for solving optimization problems in engineering and business. Topics include linear programming, integer programming, network optimization, and queuing theory. Students will learn to model real-world problems using mathematical optimization techniques and solve them using software tools like MATLAB and Python.
Advanced Mathematics
This course covers advanced mathematical concepts and techniques that are essential for engineering applications. Topics include differential equations, vector calculus, complex analysis, and numerical methods. Students will learn to apply these mathematical tools to solve complex engineering problems and conduct research in their chosen fields.
Project Management
Project Management focuses on the principles and practices of managing engineering projects effectively. Students will learn about project planning, risk management, resource allocation, and quality control. The course includes case studies and group projects where students can apply project management techniques to real-world engineering challenges.
Elective I
Elective I allows students to explore specialized topics in their chosen field. The course content varies each year based on faculty expertise and industry trends. Students will engage in research projects, case studies, and practical applications that enhance their understanding of advanced engineering concepts.
Elective II
Elective II provides students with the opportunity to delve deeper into a specific area of engineering. The course content is tailored to meet the needs of students who wish to pursue advanced research or specialized career paths. Students will engage in hands-on projects and research activities that align with their interests and future goals.
Elective III
Elective III focuses on emerging technologies and their applications in engineering. Students will explore topics such as artificial intelligence, biotechnology, and sustainable engineering. The course includes guest lectures from industry experts and research presentations from faculty members.
Elective IV
Elective IV allows students to explore interdisciplinary topics that bridge multiple engineering disciplines. Students will engage in collaborative projects and research activities that combine knowledge from different fields. The course emphasizes innovation and creativity in solving complex engineering problems.
Elective V
Elective V provides students with the opportunity to specialize in niche areas of engineering. The course content is designed to meet the needs of students who wish to pursue advanced research or specialized career paths. Students will engage in hands-on projects and research activities that align with their interests and future goals.
Elective VI
Elective VI offers students a chance to explore cutting-edge topics in engineering. The course content is updated regularly to reflect the latest developments in the field. Students will engage in research projects and practical applications that prepare them for careers in emerging engineering disciplines.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that students learn best when they are actively engaged in solving real-world problems. This approach encourages students to apply theoretical knowledge to practical situations, fostering critical thinking, collaboration, and innovation.
Mini-projects are introduced in the second year, where students work in small teams to solve engineering problems. These projects are designed to be manageable yet challenging, allowing students to develop their problem-solving skills and teamwork abilities. Each mini-project is supervised by a faculty mentor who provides guidance and feedback throughout the process.
The final-year thesis or capstone project is a comprehensive endeavor that integrates all the knowledge and skills acquired during the program. Students select a topic of interest and work closely with a faculty advisor to conduct research, design solutions, and present their findings. The project is evaluated based on originality, technical depth, presentation quality, and impact.
Students are encouraged to choose projects that align with their interests and career goals. The selection process involves a proposal submission, followed by a review by the faculty committee. Projects are often inspired by industry needs or research initiatives, providing students with opportunities to contribute to meaningful advancements in their fields.
The department also supports student-led initiatives and innovation competitions, where students can showcase their ideas and receive recognition for their efforts. These activities not only enhance the learning experience but also prepare students for future careers in research and development.