Course Structure Overview
The Computer Science program at Bishamber Sahai Institute Of Technology is structured over 8 semesters, with a balanced mix of core courses, departmental electives, science electives, and laboratory sessions. The curriculum is designed to progressively build technical competence while encouraging innovation and critical thinking.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | CS101 | Introduction to Programming | 3-0-0-3 | - |
| 1 | CS102 | Mathematics for Computer Science | 3-0-0-3 | - |
| 1 | CS103 | Engineering Graphics | 2-0-0-2 | - |
| 1 | CS104 | English for Engineers | 2-0-0-2 | - |
| 1 | CS105 | Introduction to Computer Science | 3-0-0-3 | - |
| 2 | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| 2 | CS202 | Computer Organization | 3-0-0-3 | - |
| 2 | CS203 | Digital Electronics | 3-0-0-3 | - |
| 2 | CS204 | Database Systems | 3-0-0-3 | CS101 |
| 2 | CS205 | Discrete Mathematics | 3-0-0-3 | CS102 |
| 3 | CS301 | Operating Systems | 3-0-0-3 | CS201 |
| 3 | CS302 | Computer Networks | 3-0-0-3 | CS202 |
| 3 | CS303 | Software Engineering | 3-0-0-3 | CS201 |
| 3 | CS304 | Web Technologies | 3-0-0-3 | CS201 |
| 3 | CS305 | Object-Oriented Programming | 3-0-0-3 | CS101 |
| 4 | CS401 | Machine Learning | 3-0-0-3 | CS201, CS205 |
| 4 | CS402 | Cybersecurity | 3-0-0-3 | CS302 |
| 4 | CS403 | Data Mining and Analytics | 3-0-0-3 | CS201, CS205 |
| 4 | CS404 | Distributed Systems | 3-0-0-3 | CS301, CS302 |
| 4 | CS405 | Compiler Design | 3-0-0-3 | CS201 |
| 5 | CS501 | Artificial Intelligence | 3-0-0-3 | CS401, CS303 |
| 5 | CS502 | Human-Computer Interaction | 3-0-0-3 | CS303 |
| 5 | CS503 | Mobile Application Development | 3-0-0-3 | CS304 |
| 5 | CS504 | Internet of Things | 3-0-0-3 | CS203 |
| 5 | CS505 | Cloud Computing | 3-0-0-3 | CS404 |
| 6 | CS601 | Advanced Algorithms | 3-0-0-3 | CS201, CS301 |
| 6 | CS602 | Big Data Technologies | 3-0-0-3 | CS403 |
| 6 | CS603 | Quantitative Finance | 3-0-0-3 | CS205, CS403 |
| 6 | CS604 | Game Development | 3-0-0-3 | CS503 |
| 6 | CS605 | Research Methodology | 3-0-0-3 | - |
| 7 | CS701 | Capstone Project I | 0-0-6-3 | CS501, CS502 |
| 7 | CS702 | Mini Project I | 0-0-3-2 | CS401 |
| 7 | CS703 | Internship | 0-0-0-6 | - |
| 8 | CS801 | Capstone Project II | 0-0-6-3 | CS701 |
| 8 | CS802 | Mini Project II | 0-0-3-2 | CS702 |
| 8 | CS803 | Final Thesis | 0-0-0-6 | CS605 |
Advanced Departmental Electives
The department offers a range of advanced elective courses that allow students to specialize in specific domains and gain deeper insights into emerging technologies. These courses are taught by faculty members who are active researchers and industry experts.
- Deep Learning: This course explores neural networks, convolutional networks, recurrent networks, and transformer architectures. Students learn to implement models using TensorFlow and PyTorch and apply them to real-world problems such as image classification and natural language understanding.
- Computer Vision: The course covers fundamental concepts in computer vision including image processing, feature extraction, object detection, and segmentation. Students work on projects involving facial recognition, autonomous vehicles, and medical imaging.
- Natural Language Processing (NLP): This course introduces students to language modeling, sentiment analysis, machine translation, and text summarization. The curriculum includes hands-on labs using BERT, GPT, and other transformer-based models.
- Reinforcement Learning: Students learn about Markov decision processes, Q-learning, policy gradients, and deep reinforcement learning techniques. Projects involve training agents to play games or control robotic systems.
- Quantum Computing: An introduction to quantum algorithms, quantum circuits, and quantum error correction. The course includes simulations using Qiskit and discusses current developments in the field.
- Blockchain Technologies: Covers blockchain fundamentals, smart contracts, cryptocurrency mechanisms, and decentralized applications. Students build their own blockchain-based systems and explore real-world use cases.
- Computer Security: Explores network security, cryptographic protocols, vulnerability assessment, and incident response. The course includes labs on penetration testing and secure coding practices.
- Big Data Analytics: Focuses on processing large datasets using Hadoop, Spark, and other distributed computing frameworks. Students learn to extract insights from unstructured data sources.
- Mobile App Development: Teaches students how to design and develop cross-platform mobile applications using Flutter and React Native. The course emphasizes user experience and app performance optimization.
- Internet of Things (IoT): Covers sensor networks, embedded systems, wireless communication protocols, and edge computing. Students implement IoT solutions for smart homes, agriculture, and healthcare.
Project-Based Learning Philosophy
At Bishamber Sahai Institute Of Technology, project-based learning is central to our educational philosophy. We believe that learning occurs best when students engage in meaningful, hands-on experiences that connect theory with practice.
The program integrates mini-projects throughout the curriculum, starting from the second year. These projects are designed to reinforce concepts learned in lectures and labs while encouraging creativity and teamwork. Students select their own project topics under faculty guidance, ensuring that they align with both personal interests and industry needs.
The final-year capstone project is a comprehensive endeavor that spans two semesters. Students work closely with faculty mentors to develop innovative solutions to real-world problems. The projects often lead to patents, publications, or startup ventures. Evaluation criteria include technical depth, innovation, presentation skills, and impact on society.
Faculty members play a pivotal role in guiding students through their projects. Each student is assigned a mentor who provides academic support, helps with research, and connects them with industry professionals when needed. This personalized approach ensures that every student gets the attention required to excel academically and professionally.