Course Structure Overview
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | CE101 | Mathematics I | 3-0-0-3 | - |
| 1 | CE102 | Physics for Engineers | 3-0-0-3 | - |
| 1 | CE103 | Introduction to Programming | 2-0-2-2 | - |
| 1 | CE104 | Basic Electronics | 2-0-2-2 | - |
| 1 | CE105 | English for Technical Communication | 3-0-0-3 | - |
| 1 | CE106 | Workshop Practice | 0-0-2-1 | - |
| 2 | CE201 | Mathematics II | 3-0-0-3 | CE101 |
| 2 | CE202 | Chemistry for Engineers | 3-0-0-3 | - |
| 2 | CE203 | Data Structures and Algorithms | 3-0-2-3 | CE103 |
| 2 | CE204 | Digital Logic Design | 3-0-2-3 | CE104 |
| 2 | CE205 | Object-Oriented Programming | 2-0-2-2 | CE103 |
| 2 | CE206 | Engineering Drawing | 0-0-2-1 | - |
| 3 | CE301 | Probability and Statistics | 3-0-0-3 | CE201 |
| 3 | CE302 | Computer Organization and Architecture | 3-0-2-3 | CE204 |
| 3 | CE303 | Operating Systems | 3-0-2-3 | CE205 |
| 3 | CE304 | Database Management Systems | 3-0-2-3 | CE203 |
| 3 | CE305 | Software Engineering | 3-0-2-3 | CE205 |
| 3 | CE306 | Electromagnetic Fields and Waves | 3-0-0-3 | CE102 |
| 4 | CE401 | Computer Networks | 3-0-2-3 | CE302 |
| 4 | CE402 | Microprocessors and Microcontrollers | 3-0-2-3 | CE204 |
| 4 | CE403 | Compiler Design | 3-0-2-3 | CE303 |
| 4 | CE404 | Artificial Intelligence and Machine Learning | 3-0-2-3 | CE301 |
| 4 | CE405 | Cybersecurity Fundamentals | 3-0-2-3 | CE301 |
| 4 | CE406 | Embedded Systems | 3-0-2-3 | CE205 |
| 5 | CE501 | Data Mining and Warehousing | 3-0-2-3 | CE304 |
| 5 | CE502 | Mobile Computing | 3-0-2-3 | CE401 |
| 5 | CE503 | Computer Graphics and Animation | 3-0-2-3 | CE205 |
| 5 | CE504 | Advanced Database Systems | 3-0-2-3 | CE304 |
| 5 | CE505 | Network Security | 3-0-2-3 | CE401 |
| 5 | CE506 | Research Methodology | 3-0-0-3 | - |
| 6 | CE601 | Internet of Things (IoT) | 3-0-2-3 | CE502 |
| 6 | CE602 | Cloud Computing | 3-0-2-3 | CE401 |
| 6 | CE603 | Distributed Systems | 3-0-2-3 | CE401 |
| 6 | CE604 | Human Computer Interaction | 3-0-2-3 | CE305 |
| 6 | CE605 | Game Development | 3-0-2-3 | CE305 |
| 6 | CE606 | Mini Project I | 0-0-4-2 | - |
| 7 | CE701 | Deep Learning and Neural Networks | 3-0-2-3 | CE404 |
| 7 | CE702 | Advanced Machine Learning Techniques | 3-0-2-3 | CE404 |
| 7 | CE703 | Big Data Analytics | 3-0-2-3 | CE501 |
| 7 | CE704 | Security Protocols and Cryptography | 3-0-2-3 | CE505 |
| 7 | CE705 | Advanced Embedded Systems | 3-0-2-3 | CE406 |
| 7 | CE706 | Mini Project II | 0-0-4-2 | - |
| 8 | CE801 | Final Year Thesis/Project | 0-0-8-6 | CE706 |
| 8 | CE802 | Elective I | 3-0-0-3 | - |
| 8 | CE803 | Elective II | 3-0-0-3 | - |
| 8 | CE804 | Elective III | 3-0-0-3 | |
| 8 | CE805 | Elective IV | 3-0-0-3 |
Advanced Departmental Elective Courses
Advanced departmental electives at Govt Polytechnic Khatima are designed to provide students with in-depth knowledge and practical skills required for specialized career paths. These courses are offered based on the latest industry trends and academic research, ensuring that students stay ahead of technological developments.
The course Deep Learning and Neural Networks focuses on advanced architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. Students learn to implement models using frameworks like TensorFlow and PyTorch, preparing them for roles in AI research and development.
The Advanced Machine Learning Techniques course delves into ensemble methods, reinforcement learning, and unsupervised learning algorithms. It emphasizes practical implementation through real-world datasets and includes hands-on labs on model deployment using cloud platforms.
In Big Data Analytics, students explore data processing pipelines using Hadoop, Spark, and NoSQL databases. The course includes projects involving large-scale data analysis for business intelligence and predictive modeling.
The Security Protocols and Cryptography module covers symmetric and asymmetric encryption, digital signatures, and blockchain technology. Students implement cryptographic protocols in secure communication systems and conduct penetration testing exercises.
Advanced Embedded Systems explores real-time operating systems (RTOS), microcontroller architectures, and IoT integration. The course includes lab sessions on ARM-based development boards and sensor networks.
The Internet of Things (IoT) course examines device communication protocols, edge computing, and smart city applications. Students build end-to-end IoT solutions using platforms like Arduino, Raspberry Pi, and AWS IoT Core.
Cloud Computing introduces cloud architecture principles, virtualization, and containerization technologies. Students gain experience with AWS, Azure, and Google Cloud services through practical labs and project-based learning.
Distributed Systems teaches the design and implementation of scalable systems using concepts like consistency models, replication, and fault tolerance. The course includes case studies from major tech companies and hands-on projects involving distributed algorithms.
Human Computer Interaction explores user-centered design principles, usability testing, and interface prototyping. Students learn to develop accessible interfaces and evaluate their effectiveness through user research methodologies.
Game Development covers game engines, 3D modeling, animation, and scripting languages. The course includes building complete games from concept to deployment across multiple platforms.
The Mobile Computing course focuses on mobile app development for Android and iOS platforms using modern frameworks like React Native and Flutter. Students learn about responsive design, offline capabilities, and performance optimization.
Computer Graphics and Animation introduces 3D modeling, rendering techniques, and animation principles. Students create visual effects for movies, video games, and simulations using industry-standard software.
Advanced Database Systems covers advanced query processing, transaction management, and data warehousing. The course includes projects on designing and optimizing database schemas for complex applications.
Network Security provides comprehensive coverage of network threats, intrusion detection systems, and security policies. Students learn to secure networks against attacks and implement firewalls and VPNs.
Research Methodology prepares students for academic research by teaching scientific inquiry, hypothesis formulation, and experimental design. The course includes writing research papers and presenting findings at conferences.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a core component of the educational experience. This philosophy is rooted in the belief that students learn best when they engage actively with real-world problems and solutions.
Mini-projects are integrated throughout the program, starting from Year Two. These projects allow students to apply concepts learned in class to practical scenarios, fostering innovation and creativity.
The final-year thesis/capstone project is a significant milestone that requires students to demonstrate mastery of their chosen field. Students select projects aligned with current industry needs or academic research interests, often under the guidance of faculty mentors from the department or external collaborators.
Project selection involves a structured process where students propose ideas, receive feedback, and refine their proposals before beginning implementation. Faculty mentors play a crucial role in guiding students through each phase of the project lifecycle, from conceptualization to documentation.
Evaluation criteria include technical execution, innovation, teamwork, presentation skills, and adherence to deadlines. Projects are assessed by both faculty members and industry experts to ensure alignment with professional standards.