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Fees
₹12,00,000
Placement
92.0%
Avg Package
₹5,50,000
Highest Package
₹8,00,000
Fees
₹12,00,000
Placement
92.0%
Avg Package
₹5,50,000
Highest Package
₹8,00,000
Seats
100
Students
300
Seats
100
Students
300
The Computer Applications program at C U Shah University Surendranagar is designed to provide students with a robust foundation in both theoretical and practical aspects of computing. The curriculum spans eight semesters, with each semester building upon the previous one to ensure progressive learning.
| Course Code | Full Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|
| CS101 | Introduction to Computing | 3-1-0-4 | None |
| CS102 | Programming Fundamentals | 3-1-0-4 | CS101 |
| CS103 | Mathematics for Computer Applications | 3-1-0-4 | None |
| CS104 | Physics for Computer Science | 3-1-0-4 | None |
| CS105 | English Communication Skills | 3-1-0-4 | None |
| CS106 | Computer Lab Practice | 0-0-2-2 | CS102 |
| Course Code | Full Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|
| CS201 | Data Structures and Algorithms | 3-1-0-4 | CS102 |
| CS202 | Database Management Systems | 3-1-0-4 | CS102 |
| CS203 | Software Engineering | 3-1-0-4 | CS102 |
| CS204 | Operating Systems | 3-1-0-4 | CS102 |
| CS205 | Computer Networks | 3-1-0-4 | CS102 |
| CS206 | Electronics and Communication Engineering | 3-1-0-4 | CS104 |
| CS207 | Lab Practice II | 0-0-2-2 | CS201, CS202 |
| Course Code | Full Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|
| CS301 | Artificial Intelligence and Machine Learning | 3-1-0-4 | CS201, CS202 |
| CS302 | Cybersecurity and Network Security | 3-1-0-4 | CS205 |
| CS303 | Data Science and Big Data Analytics | 3-1-0-4 | CS201, CS202 |
| CS304 | Software Architecture and Design Patterns | 3-1-0-4 | CS203 |
| CS305 | Mobile Application Development | 3-1-0-4 | CS201, CS203 |
| CS306 | Internet of Things (IoT) | 3-1-0-4 | CS205 |
| CS307 | Cloud Computing and DevOps | 3-1-0-4 | CS205 |
| CS308 | Human-Computer Interaction | 3-1-0-4 | CS201 |
| CS309 | Lab Practice III | 0-0-2-2 | CS301, CS302 |
| Course Code | Full Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|
| CS401 | Capstone Project I | 3-1-0-4 | CS301, CS302 |
| CS402 | Capstone Project II | 3-1-0-4 | CS401 |
| CS403 | Advanced Topics in Computer Applications | 3-1-0-4 | CS301, CS302 |
| CS404 | Research Methodology and Thesis Writing | 3-1-0-4 | None |
| CS405 | Final Year Project | 0-0-6-8 | CS401, CS402 |
Students are encouraged to delve deeper into specialized areas through advanced departmental electives:
This course explores the core concepts of AI, including neural networks, natural language processing, computer vision, and reinforcement learning. Students learn how to design intelligent systems that can adapt and improve over time.
Focuses on protecting digital assets against threats through cryptographic techniques, secure network design, ethical hacking, and incident response strategies. The course includes hands-on labs using industry-standard tools.
Students gain proficiency in statistical modeling, data mining, visualization, and predictive analytics. Real-world datasets are used to apply advanced techniques in business intelligence and decision-making.
Explores principles of software architecture, design patterns, scalability, and maintainability. Students learn how to build robust and efficient systems using modern frameworks and methodologies.
Covers the development of applications for iOS and Android platforms, focusing on user interface design, cross-platform compatibility, and performance optimization.
Integrates physical devices with digital networks to create smart solutions. Students learn about sensor technologies, embedded systems, communication protocols, and IoT security.
Explores cloud platforms like AWS, Azure, and Google Cloud, along with DevOps practices for continuous integration and deployment. Students gain experience in scalable computing environments.
Studies how users interact with technology and designs interfaces accordingly. Focuses on usability testing, prototyping, and user-centered design methodologies.
The department believes in experiential learning through project-based approaches. Students engage in mini-projects during their second and third years, followed by a final-year capstone project that integrates all learned skills.
Mini-projects are assigned in groups of 3-5 students and span 2-3 months. Each project has a faculty mentor who guides the team through the planning, execution, and documentation phases. Projects are evaluated based on technical depth, innovation, and presentation quality.
The final-year project involves developing a complete solution to a real-world problem. Students work closely with faculty advisors and industry partners to ensure relevance and impact. The project culminates in a formal presentation and a detailed report.
Students select their projects based on interest areas, available resources, and faculty expertise. Projects are aligned with current research trends and industry demands. Mentorship is provided throughout the project lifecycle to support academic and professional growth.
