Course Structure Overview
The B.Tech Computer Science program at Dr Preeti Global University Shivpuri is structured over eight semesters, with a carefully balanced mix of core courses, departmental electives, science electives, and practical labs. This structure ensures students gain both breadth and depth in their understanding of computer science while also developing specialized skills through focused electives.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | CS101 | Introduction to Programming | 3-0-0-3 | - |
| 1 | CS102 | Engineering Mathematics I | 4-0-0-4 | - |
| 1 | CS103 | Physics for Computer Science | 3-0-0-3 | - |
| 1 | CS104 | Chemistry for Computer Science | 3-0-0-3 | - |
| 1 | CS105 | Communication Skills | 2-0-0-2 | - |
| 1 | CS106 | Lab: Introduction to Programming | 0-0-3-1 | - |
| 2 | CS201 | Data Structures and Algorithms | 4-0-0-4 | CS101 |
| 2 | CS202 | Engineering Mathematics II | 4-0-0-4 | CS102 |
| 2 | CS203 | Electrical and Electronics Engineering | 3-0-0-3 | - |
| 2 | CS204 | Computer Organization and Architecture | 3-0-0-3 | - |
| 2 | CS205 | Lab: Data Structures and Algorithms | 0-0-3-1 | CS101 |
| 3 | CS301 | Database Management Systems | 3-0-0-3 | CS201 |
| 3 | CS302 | Operating Systems | 3-0-0-3 | CS204 |
| 3 | CS303 | Computer Networks | 3-0-0-3 | CS204 |
| 3 | CS304 | Probability and Statistics | 3-0-0-3 | CS102 |
| 3 | CS305 | Lab: Database Management Systems | 0-0-3-1 | CS201 |
| 4 | CS401 | Software Engineering | 3-0-0-3 | CS301 |
| 4 | CS402 | Design and Analysis of Algorithms | 3-0-0-3 | CS201 |
| 4 | CS403 | Object-Oriented Programming using Java | 3-0-0-3 | CS101 |
| 4 | CS404 | Lab: Software Engineering | 0-0-3-1 | CS301 |
| 5 | CS501 | Machine Learning | 3-0-0-3 | CS304, CS201 |
| 5 | CS502 | Cryptography and Network Security | 3-0-0-3 | CS303 |
| 5 | CS503 | Data Mining and Warehousing | 3-0-0-3 | CS301 |
| 5 | CS504 | Web Technologies | 3-0-0-3 | CS403 |
| 5 | CS505 | Lab: Machine Learning | 0-0-3-1 | CS501 |
| 6 | CS601 | Big Data Analytics | 3-0-0-3 | CS503 |
| 6 | CS602 | Embedded Systems | 3-0-0-3 | CS204 |
| 6 | CS603 | Cloud Computing | 3-0-0-3 | CS303 |
| 6 | CS604 | Human Computer Interaction | 3-0-0-3 | CS401 |
| 6 | CS605 | Lab: Cloud Computing | 0-0-3-1 | CS603 |
| 7 | CS701 | Capstone Project I | 4-0-0-4 | All previous semesters |
| 7 | CS702 | Advanced Topics in Computer Science | 3-0-0-3 | CS501 or CS502 or CS503 |
| 7 | CS703 | Research Methodology | 2-0-0-2 | - |
| 8 | CS801 | Capstone Project II | 6-0-0-6 | CS701 |
| 8 | CS802 | Internship | 3-0-0-3 | All previous semesters |
Advanced Departmental Elective Courses
The department offers several advanced elective courses that allow students to explore specialized areas of interest. These courses are designed to keep up with current industry trends and research advancements.
- Machine Learning: This course explores the fundamentals of machine learning algorithms, including supervised and unsupervised learning techniques. Students learn how to apply these methods to real-world problems using tools like TensorFlow and Scikit-learn.
- Cryptography and Network Security: Focused on protecting data in transit and at rest, this course covers cryptographic protocols, secure communication systems, and network defense mechanisms against cyber threats.
- Data Mining and Warehousing: This elective introduces students to the processes of extracting knowledge from large datasets. Topics include data cleaning, transformation, clustering, classification, and association rule mining.
- Web Technologies: Students are exposed to modern web development frameworks such as React, Node.js, and MongoDB. The course emphasizes full-stack development and responsive design principles.
- Big Data Analytics: With the explosion of data in recent years, this course teaches students how to process and analyze large volumes of data using Hadoop, Spark, and other big data tools.
- Embedded Systems: This course focuses on designing and developing embedded systems used in consumer electronics, automotive systems, and industrial automation. Students learn about microcontrollers, real-time operating systems, and hardware-software integration.
- Cloud Computing: Covering cloud infrastructure, virtualization, and service models (IaaS, PaaS, SaaS), this course prepares students for deploying scalable applications on platforms like AWS, Azure, and GCP.
- Human Computer Interaction: This course explores how users interact with computers and focuses on designing intuitive interfaces. Students learn about usability testing, user research, and prototyping techniques.
- Game Development: Designed for students interested in the entertainment industry, this course covers game design principles, 3D modeling, physics simulation, and programming languages like C# or Python.
- Mobile Application Development: Students learn to build cross-platform mobile apps using frameworks like Flutter or React Native. The course emphasizes user experience, app architecture, and deployment strategies.
Project-Based Learning Philosophy
Our department strongly believes in the value of project-based learning as a means of integrating theory with practice. Projects are designed to simulate real-world scenarios, encouraging students to apply their knowledge creatively and collaboratively.
Mini-Projects
Throughout the program, students complete several mini-projects that span multiple semesters. These projects typically involve small teams of 3-5 students working under faculty supervision. The goal is to reinforce concepts learned in class while developing essential skills like problem-solving, teamwork, and communication.
Final-Year Thesis/Capstone Project
The capstone project is the culmination of a student's academic journey. Students select a topic relevant to their specialization or an emerging trend in the field. They work closely with a faculty mentor throughout the semester, conducting literature reviews, developing prototypes, and presenting findings at a final symposium.
Project Selection Process
Students begin selecting their capstone project topics during the seventh semester. They can choose from faculty research areas or propose original ideas that align with industry needs. The selection process includes proposal submission, mentor allocation, and progress reviews at mid-semester.