Comprehensive Course Structure
The Bachelor of Technology program at Dr B R Ambedkar Institute Of Technology Port Blair is meticulously structured to provide students with a well-rounded and industry-relevant education. The program is divided into eight semesters, each with a carefully designed sequence of core courses, departmental electives, science electives, and laboratory sessions. The curriculum is regularly updated to reflect the latest industry trends and technological advancements, ensuring that students are well-prepared for the challenges of the modern engineering landscape.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | None |
| 1 | CHM101 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ESC101 | Engineering Drawing & Graphics | 2-0-2-3 | None |
| 1 | CS101 | Introduction to Programming | 2-0-2-3 | None |
| 1 | ME101 | Introduction to Engineering | 2-0-0-2 | None |
| 1 | ENG102 | English for Engineers | 2-0-0-2 | None |
| 1 | PHYS101 | Physics Lab | 0-0-3-1 | PHY101 |
| 1 | CHML101 | Chemistry Lab | 0-0-3-1 | CHM101 |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ME201 | Mechanics of Materials | 3-1-0-4 | ME101 |
| 2 | EC201 | Electrical Circuits | 3-1-0-4 | None |
| 2 | CS201 | Data Structures & Algorithms | 3-1-0-4 | CS101 |
| 2 | PHYS201 | Thermodynamics | 3-1-0-4 | PHY101 |
| 2 | ME202 | Fluid Mechanics | 3-1-0-4 | ME101 |
| 2 | CS202 | Database Management Systems | 3-1-0-4 | CS101 |
| 2 | EC202 | Electronic Devices & Circuits | 3-1-0-4 | EC201 |
| 2 | PHYS202 | Thermodynamics Lab | 0-0-3-1 | PHYS201 |
| 2 | ME203 | Mechanics of Materials Lab | 0-0-3-1 | ME201 |
| 3 | ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| 3 | ME301 | Strength of Materials | 3-1-0-4 | ME201 |
| 3 | EC301 | Signals & Systems | 3-1-0-4 | EC201 |
| 3 | CS301 | Operating Systems | 3-1-0-4 | CS201 |
| 3 | PHYS301 | Electromagnetic Fields | 3-1-0-4 | PHYS201 |
| 3 | ME302 | Machine Design | 3-1-0-4 | ME201 |
| 3 | CS302 | Computer Networks | 3-1-0-4 | CS201 |
| 3 | EC302 | Control Systems | 3-1-0-4 | EC301 |
| 3 | PHYS302 | Electromagnetic Fields Lab | 0-0-3-1 | PHYS301 |
| 3 | ME303 | Machine Design Lab | 0-0-3-1 | ME302 |
| 4 | ENG401 | Engineering Mathematics IV | 3-1-0-4 | ENG301 |
| 4 | ME401 | Heat Transfer | 3-1-0-4 | ME201 |
| 4 | EC401 | Communication Systems | 3-1-0-4 | EC301 |
| 4 | CS401 | Software Engineering | 3-1-0-4 | CS301 |
| 4 | PHYS401 | Quantum Physics | 3-1-0-4 | PHYS301 |
| 4 | ME402 | Manufacturing Processes | 3-1-0-4 | ME301 |
| 4 | CS402 | Artificial Intelligence | 3-1-0-4 | CS301 |
| 4 | EC402 | Embedded Systems | 3-1-0-4 | EC301 |
| 4 | PHYS402 | Quantum Physics Lab | 0-0-3-1 | PHYS401 |
| 4 | ME403 | Manufacturing Lab | 0-0-3-1 | ME402 |
| 5 | ENG501 | Advanced Mathematics | 3-1-0-4 | ENG401 |
| 5 | ME501 | Structural Analysis | 3-1-0-4 | ME301 |
| 5 | EC501 | Microprocessors & Microcontrollers | 3-1-0-4 | EC401 |
| 5 | CS501 | Machine Learning | 3-1-0-4 | CS401 |
| 5 | PHYS501 | Optics & Lasers | 3-1-0-4 | PHYS401 |
| 5 | ME502 | Automotive Engineering | 3-1-0-4 | ME401 |
| 5 | CS502 | Big Data Analytics | 3-1-0-4 | CS401 |
| 5 | EC502 | Optical Communication | 3-1-0-4 | EC401 |
| 5 | PHYS502 | Optics Lab | 0-0-3-1 | PHYS501 |
| 5 | ME503 | Automotive Lab | 0-0-3-1 | ME502 |
| 6 | ENG601 | Probability & Statistics | 3-1-0-4 | ENG501 |
| 6 | ME601 | Advanced Mechanics | 3-1-0-4 | ME501 |
| 6 | EC601 | Antenna & Wave Propagation | 3-1-0-4 | EC501 |
| 6 | CS601 | Deep Learning | 3-1-0-4 | CS501 |
| 6 | PHYS601 | Nuclear Physics | 3-1-0-4 | PHYS501 |
| 6 | ME602 | Robotics & Automation | 3-1-0-4 | ME501 |
| 6 | CS602 | Blockchain Technology | 3-1-0-4 | CS501 |
| 6 | EC602 | Wireless Networks | 3-1-0-4 | EC501 |
| 6 | PHYS602 | Nuclear Physics Lab | 0-0-3-1 | PHYS601 |
| 6 | ME603 | Robotics Lab | 0-0-3-1 | ME602 |
| 7 | ENG701 | Engineering Economics | 3-1-0-4 | ENG601 |
| 7 | ME701 | Finite Element Analysis | 3-1-0-4 | ME601 |
| 7 | EC701 | RF & Microwave Engineering | 3-1-0-4 | EC601 |
| 7 | CS701 | Computer Vision | 3-1-0-4 | CS601 |
| 7 | PHYS701 | Condensed Matter Physics | 3-1-0-4 | PHYS601 |
| 7 | ME702 | Advanced Manufacturing | 3-1-0-4 | ME601 |
| 7 | CS702 | Internet of Things | 3-1-0-4 | CS601 |
| 7 | EC702 | Signal Processing | 3-1-0-4 | EC601 |
| 7 | PHYS702 | Condensed Matter Lab | 0-0-3-1 | PHYS701 |
| 7 | ME703 | Advanced Manufacturing Lab | 0-0-3-1 | ME702 |
| 8 | ENG801 | Project Management | 3-1-0-4 | ENG701 |
| 8 | ME801 | Engineering Design | 3-1-0-4 | ME701 |
| 8 | EC801 | Advanced Communication | 3-1-0-4 | EC701 |
| 8 | CS801 | Cloud Computing | 3-1-0-4 | CS701 |
| 8 | PHYS801 | Advanced Physics | 3-1-0-4 | PHYS701 |
| 8 | ME802 | Capstone Project | 3-1-0-4 | ME701 |
| 8 | CS802 | Capstone Project | 3-1-0-4 | CS701 |
| 8 | EC802 | Capstone Project | 3-1-0-4 | EC701 |
| 8 | PHYS802 | Capstone Project | 3-1-0-4 | PHYS701 |
| 8 | ME803 | Capstone Project Lab | 0-0-3-1 | ME802 |
| 8 | CS803 | Capstone Project Lab | 0-0-3-1 | CS802 |
| 8 | EC803 | Capstone Project Lab | 0-0-3-1 | EC802 |
| 8 | PHYS803 | Capstone Project Lab | 0-0-3-1 | PHYS802 |
Advanced Departmental Elective Courses
The Department of Computer Science offers a range of advanced elective courses that allow students to specialize in cutting-edge technologies. These courses are designed to provide in-depth knowledge and practical skills in emerging fields.
One of the most popular courses is Machine Learning, which covers topics such as supervised and unsupervised learning, neural networks, and deep learning. Students learn to apply these concepts to real-world problems, using tools like TensorFlow and PyTorch. The course includes hands-on projects that simulate industry scenarios, ensuring that students are well-prepared for careers in AI and data science.
Another advanced elective is Data Science and Analytics, which focuses on statistical analysis, data visualization, and predictive modeling. Students gain experience with big data technologies like Hadoop and Spark, and learn to use Python and R for data manipulation and analysis. The course also covers ethical considerations in data usage and privacy.
Software Engineering is a course that emphasizes the development lifecycle, including requirements gathering, design, implementation, testing, and maintenance. Students work on group projects to simulate real-world software development environments, gaining experience in agile methodologies and project management tools.
Artificial Intelligence is a comprehensive course that covers the fundamentals of AI, including search algorithms, knowledge representation, and machine learning. Students explore the ethical implications of AI and work on projects that involve building intelligent systems.
Computer Networks is designed to provide students with a deep understanding of network architecture, protocols, and security. The course includes practical sessions on network simulation and troubleshooting, preparing students for roles in network engineering and cybersecurity.
Big Data Analytics is an elective that focuses on processing and analyzing large datasets. Students learn to use tools like Apache Kafka, Hadoop, and Spark to extract insights from data. The course also covers data mining and machine learning techniques specific to big data environments.
Internet of Things (IoT) is a course that explores the design and implementation of smart systems. Students learn about sensor networks, embedded systems, and cloud integration, with hands-on experience in building IoT applications.
Blockchain Technology is a cutting-edge elective that covers the fundamentals of blockchain, smart contracts, and distributed systems. Students explore the applications of blockchain in various industries, including finance, healthcare, and supply chain management.
Cloud Computing is a course that focuses on cloud architecture, deployment models, and service offerings. Students gain experience with cloud platforms like AWS, Azure, and Google Cloud, learning to design and deploy scalable applications.
Mobile Application Development is an elective that teaches students to build applications for iOS and Android platforms. The course covers user interface design, app functionality, and deployment strategies, with students working on real-world projects.
Security Engineering is a course that focuses on protecting information systems from cyber threats. Students learn about encryption, network security, and risk management, with practical sessions on penetration testing and vulnerability assessment.
Human-Computer Interaction is a course that explores the design and evaluation of user interfaces. Students learn about usability principles, user experience design, and accessibility, with hands-on projects involving prototyping and user testing.
Computer Vision is a course that covers image processing, pattern recognition, and deep learning applications. Students work on projects involving object detection, image segmentation, and facial recognition, using libraries like OpenCV and TensorFlow.
Database Systems is a course that delves into the design and implementation of relational and non-relational databases. Students learn about normalization, indexing, and query optimization, with practical sessions on SQL and NoSQL databases.
Human-Machine Interaction is a course that focuses on the interaction between humans and machines. Students explore cognitive psychology, user experience design, and the development of intelligent systems that can adapt to user needs.
Project-Based Learning Philosophy
The Department of Computer Science at Dr B R Ambedkar Institute Of Technology Port Blair places a strong emphasis on project-based learning, recognizing that hands-on experience is crucial for developing practical skills and deepening understanding of complex concepts. The program's approach to project-based learning is designed to be both structured and flexible, allowing students to explore their interests while meeting academic objectives.
Mini-projects are introduced in the early semesters to help students build foundational skills and gain confidence in applying theoretical concepts. These projects are typically completed in teams and are designed to be manageable yet challenging. For instance, in the second semester, students might work on a simple web application or a basic data structure implementation. These projects are evaluated based on technical correctness, presentation, and teamwork.
As students progress, the complexity of projects increases, with each project building upon the previous one. By the fourth semester, students are expected to work on more sophisticated projects that integrate multiple concepts and technologies. For example, a project might involve designing and implementing a complete software system with a user interface, database integration, and backend services.
The final-year project, also known as the Capstone Project, is a significant component of the program. Students are expected to work independently or in small teams to develop a substantial project that addresses a real-world problem. The project must demonstrate a deep understanding of engineering principles, innovation, and practical application. Students are assigned faculty mentors who provide guidance throughout the project lifecycle.
The evaluation criteria for projects are comprehensive and include technical excellence, innovation, presentation, and documentation. Students are also encouraged to present their projects at departmental symposiums and industry events, where they receive feedback from experts and professionals.
The Department of Computer Science provides a supportive environment for project development, with access to state-of-the-art labs, software tools, and mentorship. Students are encouraged to collaborate with industry partners and research groups, ensuring that their projects are relevant and impactful.
Overall, the project-based learning approach at Dr B R Ambedkar Institute Of Technology Port Blair ensures that students not only acquire theoretical knowledge but also develop the practical skills and confidence needed to succeed in their careers.