Course Structure Overview
The Bachelor of Software Engineering program at Technocrats Institute of Technology is structured over eight semesters, each building upon the previous one to ensure a comprehensive understanding of software engineering principles and practices. The curriculum is designed to balance theoretical foundations with practical applications, incorporating industry-relevant tools and methodologies.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | CS101 | Programming Fundamentals | 3-0-0-3 | None |
| I | CS102 | Engineering Mathematics I | 3-0-0-3 | None |
| I | CS103 | Physics for Engineers | 3-0-0-3 | None |
| I | CS104 | Computer Organization and Architecture | 3-0-0-3 | None |
| I | CS105 | Engineering Graphics and Design | 2-0-0-2 | None |
| I | CS106 | English for Engineers | 2-0-0-2 | None |
| II | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| II | CS202 | Engineering Mathematics II | 3-0-0-3 | CS102 |
| II | CS203 | Electrical and Electronics Engineering | 3-0-0-3 | None |
| II | CS204 | Object-Oriented Programming with Java | 3-0-0-3 | CS101 |
| II | CS205 | Digital Logic and Computer Design | 3-0-0-3 | CS104 |
| III | CS301 | Database Management Systems | 3-0-0-3 | CS201 |
| III | CS302 | Operating Systems | 3-0-0-3 | CS204 |
| III | CS303 | Software Engineering Principles | 3-0-0-3 | CS201 |
| III | CS304 | Web Technologies | 3-0-0-3 | CS204 |
| III | CS305 | Discrete Mathematical Structures | 3-0-0-3 | CS102 |
| IV | CS401 | Compiler Design | 3-0-0-3 | CS301 |
| IV | CS402 | Computer Networks | 3-0-0-3 | CS205 |
| IV | CS403 | Software Testing and Quality Assurance | 3-0-0-3 | CS303 |
| IV | CS404 | Mobile Application Development | 3-0-0-3 | CS204 |
| IV | CS405 | Project Management and Entrepreneurship | 2-0-0-2 | None |
| V | CS501 | Artificial Intelligence and Machine Learning | 3-0-0-3 | CS301 |
| V | CS502 | Cybersecurity and Network Security | 3-0-0-3 | CS402 |
| V | CS503 | Cloud Computing and DevOps | 3-0-0-3 | CS302 |
| V | CS504 | Data Science and Analytics | 3-0-0-3 | CS301 |
| V | CS505 | Human-Computer Interaction | 3-0-0-3 | CS304 |
| VI | CS601 | Advanced Software Architecture | 3-0-0-3 | CS303 |
| VI | CS602 | Internet of Things (IoT) and Embedded Systems | 3-0-0-3 | CS402 |
| VI | CS603 | Software Metrics and Quality Management | 3-0-0-3 | CS403 |
| VI | CS604 | Game Development and Virtual Reality | 3-0-0-3 | CS204 |
| VI | CS605 | Research Methodology and Ethics | 2-0-0-2 | None |
| VII | CS701 | Capstone Project I | 4-0-0-4 | All prior courses |
| VIII | CS801 | Capstone Project II | 6-0-0-6 | CS701 |
Detailed Course Descriptions
Artificial Intelligence and Machine Learning: This course introduces students to the fundamentals of AI and ML, covering topics such as neural networks, deep learning frameworks (TensorFlow, PyTorch), natural language processing, and reinforcement learning. Students will implement projects using real-world datasets and gain hands-on experience with industry tools.
Cybersecurity and Network Security: The course focuses on protecting digital assets through advanced encryption techniques, network monitoring, and threat analysis. Students learn to identify vulnerabilities, develop secure systems, and respond to cyber incidents effectively.
Cloud Computing and DevOps: This course explores cloud infrastructure, containerization technologies (Docker, Kubernetes), CI/CD pipelines, and microservices architecture. Students gain practical experience in deploying scalable applications using platforms like AWS, Azure, and Google Cloud.
Data Science and Analytics: The course covers statistical modeling, data mining techniques, machine learning algorithms, and visualization tools such as Python's Pandas, NumPy, and Matplotlib. Students learn to extract insights from large datasets and present findings in a business context.
Human-Computer Interaction: This course emphasizes the design and evaluation of user interfaces for software applications. Topics include usability testing, prototyping, accessibility standards, and user experience principles that enhance product effectiveness.
Advanced Software Architecture: Students explore complex architectural patterns, system design principles, and scalability strategies. The course includes case studies from major tech companies to understand how large-scale systems are designed and maintained.
Internet of Things (IoT) and Embedded Systems: This course covers the development of IoT applications using embedded systems, sensor networks, and real-time processing. Students learn to build smart devices that communicate with each other and integrate into larger ecosystems.
Software Metrics and Quality Management: The course introduces students to software quality assurance practices, including metrics collection, process improvement, and compliance frameworks. It also covers ISO standards and best practices for managing software development projects.
Game Development and Virtual Reality: This course focuses on creating interactive entertainment systems using game engines like Unity and Unreal Engine. Students learn about 3D modeling, animation, sound design, and virtual reality development.
Research Methodology and Ethics: The course provides students with foundational knowledge in research practices, ethical considerations in technology, and scientific writing skills necessary for advanced studies and professional work.
Project-Based Learning Philosophy
The department's approach to project-based learning is rooted in the belief that real-world experience is essential for mastering software engineering principles. Projects are designed to simulate industry challenges, encouraging students to apply theoretical knowledge in practical settings.
Mini-projects begin in the second year and gradually increase in complexity, allowing students to build confidence and competence. These projects are typically completed in teams, fostering collaboration and communication skills that are vital for professional success.
The final-year thesis/capstone project is a comprehensive endeavor that integrates all learned concepts into a substantial piece of work. Students select their projects based on personal interests and industry trends, often working closely with faculty mentors who provide guidance throughout the process.
Project selection involves a proposal phase where students submit ideas aligned with their chosen specialization tracks. Faculty members review proposals and assign mentors based on expertise and availability. The evaluation criteria include innovation, technical execution, documentation quality, and presentation skills.