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.