Comprehensive Course Listing Across 8 Semesters
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | IT101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | IT102 | Physics for Information Technology | 3-1-0-4 | None |
| 1 | IT103 | Introduction to Programming | 2-0-2-4 | None |
| 1 | IT104 | English for Communication | 3-0-0-3 | None |
| 1 | IT105 | Computer Organization & Architecture | 3-1-0-4 | None |
| 2 | IT201 | Engineering Mathematics II | 3-1-0-4 | IT101 |
| 2 | IT202 | Electronic Devices & Circuits | 3-1-0-4 | IT102 |
| 2 | IT203 | Data Structures and Algorithms | 3-1-0-4 | IT103 |
| 2 | IT204 | Database Management Systems | 3-1-0-4 | IT103 |
| 2 | IT205 | Operating Systems | 3-1-0-4 | IT105 |
| 3 | IT301 | Probability and Statistics | 3-1-0-4 | IT201 |
| 3 | IT302 | Object-Oriented Programming with Java | 2-0-2-4 | IT203 |
| 3 | IT303 | Computer Networks | 3-1-0-4 | IT205 |
| 3 | IT304 | Web Technologies and Development | 3-1-0-4 | IT204 |
| 3 | IT305 | Software Engineering | 3-1-0-4 | IT203 |
| 4 | IT401 | Design and Analysis of Algorithms | 3-1-0-4 | IT301 |
| 4 | IT402 | Digital Signal Processing | 3-1-0-4 | IT301 |
| 4 | IT403 | Advanced Database Systems | 3-1-0-4 | IT204 |
| 4 | IT404 | Compiler Design | 3-1-0-4 | IT303 |
| 4 | IT405 | Human Computer Interaction | 3-1-0-4 | IT203 |
| 5 | IT501 | Machine Learning | 3-1-0-4 | IT401 |
| 5 | IT502 | Cryptography and Network Security | 3-1-0-4 | IT303 |
| 5 | IT503 | Data Mining and Analytics | 3-1-0-4 | IT301 |
| 5 | IT504 | Cloud Computing | 3-1-0-4 | IT303 |
| 5 | IT505 | Internet of Things | 3-1-0-4 | IT205 |
| 6 | IT601 | Artificial Intelligence | 3-1-0-4 | IT501 |
| 6 | IT602 | Big Data Technologies | 3-1-0-4 | IT503 |
| 6 | IT603 | Software Testing and Quality Assurance | 3-1-0-4 | IT305 |
| 6 | IT604 | Mobile Application Development | 3-1-0-4 | IT404 |
| 6 | IT605 | Information System Design | 3-1-0-4 | IT305 |
| 7 | IT701 | Research Methodology | 2-0-2-4 | IT501 |
| 7 | IT702 | Capstone Project I | 0-0-6-6 | IT501, IT601 |
| 7 | IT703 | Advanced Topics in IT | 3-1-0-4 | IT601 |
| 7 | IT704 | Professional Ethics and Legal Issues | 2-0-0-2 | None |
| 8 | IT801 | Capstone Project II | 0-0-6-6 | IT702 |
| 8 | IT802 | Entrepreneurship and Innovation | 2-0-2-4 | IT703 |
| 8 | IT803 | Internship | 0-0-0-12 | IT702 |
Detailed Descriptions of Advanced Departmental Electives
These advanced elective courses are designed to deepen students' understanding of specialized areas within Information Technology, preparing them for leadership roles in industry and academia.
Machine Learning (IT501)
This course introduces students to fundamental concepts in machine learning including supervised and unsupervised learning algorithms, neural networks, deep learning architectures, and reinforcement learning. Students gain hands-on experience using libraries like TensorFlow and PyTorch, developing projects that apply these techniques to real-world datasets.
Cryptography and Network Security (IT502)
Students explore cryptographic protocols, secure communication systems, and network defense mechanisms. Topics include symmetric and asymmetric encryption, digital signatures, PKI infrastructure, intrusion detection systems, and compliance frameworks such as ISO 27001.
Data Mining and Analytics (IT503)
This course covers data preprocessing, clustering, classification, association rule mining, anomaly detection, and visualization techniques. Students work with large datasets using tools like Python Scikit-learn, R, and Apache Spark to extract meaningful insights.
Cloud Computing (IT504)
Students learn about cloud infrastructure models, service models, virtualization technologies, containerization platforms, and orchestration tools. Practical labs involve deploying applications on AWS, Azure, and Google Cloud Platform environments.
Internet of Things (IT505)
This course explores IoT architectures, sensor networks, embedded systems programming, edge computing, and smart city applications. Labs include building physical prototypes using Raspberry Pi and Arduino microcontrollers connected to cloud services.
Artificial Intelligence (IT601)
Advanced topics in AI including knowledge representation, planning, reasoning under uncertainty, natural language processing, robotics, and computer vision. Students implement intelligent agents and develop applications using modern AI frameworks.
Big Data Technologies (IT602)
This course delves into Hadoop ecosystem, Spark SQL, streaming analytics, NoSQL databases, and data warehousing concepts. Students design scalable big data solutions for enterprise environments.
Software Testing and Quality Assurance (IT603)
Students study software testing methodologies, automation tools, quality metrics, risk analysis, and compliance standards. Practical sessions involve designing test cases, executing automated tests, and reporting defects in real-world projects.
Mobile Application Development (IT604)
This elective focuses on cross-platform mobile app development using Flutter, React Native, and native frameworks for iOS and Android. Students build fully functional apps integrated with backend services.
Information System Design (IT605)
The course emphasizes system analysis and design principles, UML modeling, database design, and enterprise architecture patterns. Students create comprehensive information systems for business scenarios using agile methodologies.
Project-Based Learning Philosophy
The department believes that effective learning occurs through active engagement with real-world challenges. Project-based learning forms the backbone of our curriculum, encouraging students to collaborate, innovate, and solve complex problems.
Mini-projects are introduced in early semesters, allowing students to experiment with concepts learned in class. These projects are typically completed within 4-6 weeks and evaluated based on creativity, technical execution, and teamwork.
The final-year thesis or capstone project spans the entire academic year. Students select a topic aligned with their interests and career goals, working closely with faculty mentors who guide them through research methodologies, literature review, experimentation, and documentation processes.
Project selection involves a proposal submission phase where students present their ideas to the faculty committee for approval. Evaluation criteria include originality, feasibility, impact potential, and alignment with departmental strengths and industry trends.