Course Structure Overview
The curriculum for the Diploma In Information Technology program at Satya Sree Parimala Polytechnic East Godavari is designed to provide a comprehensive and progressive learning experience over three years. The program is divided into six semesters, with each semester containing a mix of core courses, departmental electives, science electives, and laboratory sessions. The curriculum emphasizes both theoretical knowledge and practical skills, ensuring that students are well-prepared for industry challenges.
Course Table
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | IT101 | Introduction to Information Technology | 3-0-0-3 | None |
| 1 | IT102 | Mathematics for IT | 3-0-0-3 | None |
| 1 | IT103 | Computer Fundamentals | 3-0-0-3 | None |
| 1 | IT104 | Programming in C | 3-0-0-3 | None |
| 1 | IT105 | English for Communication | 3-0-0-3 | None |
| 1 | IT106 | Physics for IT | 3-0-0-3 | None |
| 1 | IT107 | Lab: C Programming | 0-0-3-0 | IT104 |
| 1 | IT108 | Lab: Computer Fundamentals | 0-0-3-0 | IT103 |
| 2 | IT201 | Data Structures and Algorithms | 3-0-0-3 | IT104 |
| 2 | IT202 | Database Management Systems | 3-0-0-3 | IT104 |
| 2 | IT203 | Operating Systems | 3-0-0-3 | IT103 |
| 2 | IT204 | Object-Oriented Programming | 3-0-0-3 | IT104 |
| 2 | IT205 | Mathematics for IT II | 3-0-0-3 | IT102 |
| 2 | IT206 | Chemistry for IT | 3-0-0-3 | None |
| 2 | IT207 | Lab: Data Structures | 0-0-3-0 | IT201 |
| 2 | IT208 | Lab: OOP | 0-0-3-0 | IT204 |
| 3 | IT301 | Web Technologies | 3-0-0-3 | IT204 |
| 3 | IT302 | Computer Networks | 3-0-0-3 | IT203 |
| 3 | IT303 | Software Engineering | 3-0-0-3 | IT201 |
| 3 | IT304 | Mobile Application Development | 3-0-0-3 | IT204 |
| 3 | IT305 | Mathematics for IT III | 3-0-0-3 | IT205 |
| 3 | IT306 | Statistics and Probability | 3-0-0-3 | IT102 |
| 3 | IT307 | Lab: Web Development | 0-0-3-0 | IT301 |
| 3 | IT308 | Lab: Mobile App Development | 0-0-3-0 | IT304 |
| 4 | IT401 | Artificial Intelligence | 3-0-0-3 | IT201 |
| 4 | IT402 | Cybersecurity | 3-0-0-3 | IT203 |
| 4 | IT403 | Cloud Computing | 3-0-0-3 | IT302 |
| 4 | IT404 | Data Analytics | 3-0-0-3 | IT202 |
| 4 | IT405 | Human-Computer Interaction | 3-0-0-3 | IT301 |
| 4 | IT406 | Project Management | 3-0-0-3 | IT303 |
| 4 | IT407 | Lab: AI | 0-0-3-0 | IT401 |
| 4 | IT408 | Lab: Cybersecurity | 0-0-3-0 | IT402 |
| 5 | IT501 | Advanced Machine Learning | 3-0-0-3 | IT401 |
| 5 | IT502 | Big Data Technologies | 3-0-0-3 | IT404 |
| 5 | IT503 | DevOps and CI/CD | 3-0-0-3 | IT303 |
| 5 | IT504 | Internet of Things | 3-0-0-3 | IT302 |
| 5 | IT505 | Game Development | 3-0-0-3 | IT301 |
| 5 | IT506 | Research Methodology | 3-0-0-3 | IT205 |
| 5 | IT507 | Lab: Big Data | 0-0-3-0 | IT502 |
| 5 | IT508 | Lab: IoT | 0-0-3-0 | IT504 |
| 6 | IT601 | Final Year Project | 3-0-0-3 | IT506 |
| 6 | IT602 | Internship | 0-0-0-3 | IT506 |
| 6 | IT603 | Capstone Presentation | 0-0-0-3 | IT601 |
| 6 | IT604 | Entrepreneurship | 3-0-0-3 | IT506 |
Advanced Departmental Electives
The program offers a wide range of advanced departmental electives that allow students to specialize in areas of interest. These courses are designed to provide in-depth knowledge and practical skills in emerging fields.
Advanced Machine Learning: This course delves into advanced topics in machine learning, including deep learning, reinforcement learning, and natural language processing. Students learn to build and deploy complex AI models using frameworks like TensorFlow and PyTorch. The course emphasizes real-world applications and includes hands-on projects.
Big Data Technologies: This course covers the principles and practices of big data processing and analytics. Students study technologies such as Hadoop, Spark, and Kafka, and learn to process and analyze large datasets. The course includes projects involving real-world data sources and applications.
DevOps and CI/CD: This course introduces students to DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines. Students learn to automate software development and deployment processes using tools like Jenkins, Docker, and Kubernetes. The course emphasizes practical implementation and includes hands-on labs.
Internet of Things: This course explores the design and implementation of IoT systems. Students study sensors, actuators, communication protocols, and cloud integration. The course includes practical projects involving smart devices and embedded systems.
Game Development: This course focuses on the principles and practices of game development. Students learn to design and develop games using game engines like Unity and Unreal Engine. The course includes hands-on projects involving 2D and 3D game development.
Research Methodology: This course introduces students to research principles and methodologies. Students learn to design research projects, collect and analyze data, and present findings. The course emphasizes critical thinking and scientific inquiry.
Project-Based Learning Approach
The program emphasizes project-based learning as a core component of the curriculum. Students are required to complete mandatory mini-projects in the second and third years, and a final-year capstone project. These projects are designed to provide hands-on experience and allow students to apply theoretical knowledge in practical settings.
Mini-Projects: In the second year, students work on a mini-project that focuses on a specific aspect of IT. Projects are typically industry-sponsored and provide students with real-world experience. Students are assigned to teams and work under the guidance of faculty mentors.
Final-Year Thesis/Capstone Project: In the final year, students undertake a comprehensive project that integrates all the knowledge and skills they have acquired. The project is typically aligned with industry needs and is supervised by faculty members. Students are encouraged to collaborate with industry partners and present their work at conferences or competitions.
The selection of projects and mentors is done through a structured process that involves student preferences, faculty expertise, and industry requirements. Students are matched with mentors based on their interests and the availability of resources.