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Fees
₹3,50,000
Placement
92.0%
Avg Package
₹5,50,000
Highest Package
₹8,50,000
Fees
₹3,50,000
Placement
92.0%
Avg Package
₹5,50,000
Highest Package
₹8,50,000
Seats
120
Students
240
Seats
120
Students
240
The Computer Applications program at Sarvajanik University Surat follows a meticulously designed curriculum that balances theoretical knowledge with practical application. The program is structured over 8 semesters, with each semester carefully planned to ensure progressive learning and skill development.
The first year serves as a foundation year, introducing students to the fundamental concepts of engineering and computer science. The curriculum is designed to build a strong base in mathematics, physics, and basic programming concepts.
| Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|
| ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| ENG102 | Physics for Engineers | 3-1-0-4 | None |
| ENG103 | Chemistry for Engineers | 3-1-0-4 | None |
| ENG104 | Basic Programming Concepts | 2-0-2-3 | None |
| ENG105 | Engineering Graphics | 2-1-0-3 | None |
| ENG106 | Communication Skills | 2-0-0-2 | None |
| ENG107 | Basic Electrical Engineering | 3-1-0-4 | None |
| ENG108 | Introduction to Computer Science | 2-0-2-3 | None |
| ENG109 | Workshop Practice | 0-0-3-1 | None |
| ENG110 | Physical Education | 0-0-2-1 | None |
The second year builds upon the foundational knowledge acquired in the first year, introducing students to core computer science subjects and developing their analytical skills.
| Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|
| ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| ENG202 | Data Structures and Algorithms | 3-1-0-4 | ENG104 |
| ENG203 | Object-Oriented Programming | 3-1-2-5 | ENG104 |
| ENG204 | Database Management Systems | 3-1-0-4 | ENG202 |
| ENG205 | Computer Organization and Architecture | 3-1-0-4 | ENG107 |
| ENG206 | Discrete Mathematics | 3-1-0-4 | ENG101 |
| ENG207 | Software Engineering | 3-1-0-4 | ENG203 |
| ENG208 | Operating Systems | 3-1-0-4 | ENG205 |
| ENG209 | Computer Networks | 3-1-0-4 | ENG205 |
| ENG210 | Electronics for Computer Engineers | 3-1-0-4 | ENG107 |
The third year introduces students to advanced topics in computer applications, with a focus on specialization and practical implementation.
| Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|
| ENG301 | Engineering Mathematics III | 3-1-0-4 | ENG201 |
| ENG302 | Artificial Intelligence and Machine Learning | 3-1-0-4 | ENG202 |
| ENG303 | Cybersecurity and Information Assurance | 3-1-0-4 | ENG204 |
| ENG304 | Data Analytics and Big Data | 3-1-0-4 | ENG202 |
| ENG305 | Software Engineering and Cloud Computing | 3-1-0-4 | ENG207 |
| ENG306 | Embedded Systems and IoT | 3-1-0-4 | ENG205 |
| ENG307 | Human-Computer Interaction | 3-1-0-4 | ENG203 |
| ENG308 | Database Systems and Information Retrieval | 3-1-0-4 | ENG204 |
| ENG309 | Mobile Application Development | 3-1-2-5 | ENG203 |
| ENG310 | Computer Graphics and Visualization | 3-1-0-4 | ENG202 |
The fourth year focuses on advanced specializations and capstone projects, preparing students for industry challenges and career opportunities.
| Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|
| ENG401 | Advanced Artificial Intelligence | 3-1-0-4 | ENG302 |
| ENG402 | Advanced Cybersecurity | 3-1-0-4 | ENG303 |
| ENG403 | Advanced Data Analytics | 3-1-0-4 | ENG304 |
| ENG404 | Advanced Cloud Computing | 3-1-0-4 | ENG305 |
| ENG405 | Advanced Embedded Systems | 3-1-0-4 | ENG306 |
| ENG406 | Advanced Human-Computer Interaction | 3-1-0-4 | ENG307 |
| ENG407 | Advanced Database Systems | 3-1-0-4 | ENG308 |
| ENG408 | Advanced Mobile Application Development | 3-1-2-5 | ENG309 |
| ENG409 | Advanced Computer Graphics | 3-1-0-4 | ENG310 |
| ENG410 | Capstone Project | 0-0-6-6 | ENG301 to ENG310 |
Advanced departmental elective courses provide students with opportunities to explore specialized areas of interest and gain in-depth knowledge in their chosen fields. These courses are designed to be challenging and to provide students with practical skills that are directly applicable to industry needs.
This advanced elective course delves into the theoretical foundations and practical applications of artificial intelligence and machine learning. Students will explore topics such as neural networks, deep learning, natural language processing, and computer vision. The course emphasizes both theoretical understanding and practical implementation through hands-on projects. Students will work on real-world datasets and develop AI models that can be applied to various domains. The course also covers ethical considerations in AI development and deployment, ensuring that students understand the broader implications of their work.
This advanced course provides students with comprehensive knowledge of cybersecurity principles and practices. The curriculum covers network security, cryptography, ethical hacking, and risk management. Students will learn to identify and mitigate security threats, design secure systems, and develop incident response plans. The course includes practical components such as penetration testing, vulnerability assessment, and security auditing. Students will also explore emerging threats in the cybersecurity landscape and learn to develop innovative solutions to protect digital assets.
This advanced elective focuses on the extraction of insights from large datasets using advanced analytics techniques. Students will learn to use tools and frameworks for data processing, analysis, and visualization. The course covers topics such as statistical analysis, data mining, and machine learning algorithms for data analysis. Students will work on real-world projects involving big data platforms such as Hadoop and Spark. The course emphasizes practical application and provides students with hands-on experience in developing data-driven solutions.
This course combines software engineering principles with cloud computing technologies to prepare students for modern software development practices. Students will learn to design, develop, and deploy software applications in cloud environments. The curriculum covers topics such as cloud platforms, DevOps, microservices, and containerization. Students will gain practical experience through projects that involve developing cloud-based applications using platforms such as AWS, Azure, and Google Cloud. The course emphasizes best practices in software development and cloud architecture.
This advanced course focuses on the design and implementation of embedded systems and Internet of Things (IoT) solutions. Students will learn to develop smart systems that can interact with the physical world using sensors, microcontrollers, and real-time systems. The course covers topics such as microcontroller programming, sensor integration, and real-time operating systems. Students will work on projects involving the development of IoT devices and systems for various applications such as smart cities, industrial automation, and healthcare monitoring.
This course emphasizes the creation of intuitive and user-friendly digital interfaces. Students will learn to design and evaluate user interfaces that enhance user satisfaction and productivity. The curriculum includes usability testing, interaction design, and user research methods. Students will gain hands-on experience in creating wireframes, prototypes, and user experience design documents. The course emphasizes practical application and provides students with opportunities to work on real-world design projects.
This advanced course focuses on the design and implementation of efficient database systems. Students will study topics such as indexing, query optimization, and data warehousing. The course covers both relational and non-relational database systems and provides students with hands-on experience in database design and management. Students will also learn about information retrieval techniques and how to develop systems for searching and retrieving information from large datasets.
This course focuses on the creation of mobile applications for iOS and Android platforms. Students will learn to develop applications with a focus on user experience and performance. The curriculum includes mobile development frameworks, app design principles, and deployment strategies. Students will work on projects involving the development of mobile applications for various platforms and use cases. The course emphasizes practical skills and provides students with hands-on experience in mobile development.
This advanced course covers the creation of visual content using computer technology. Students will study topics such as 3D modeling, animation, and rendering techniques. The course emphasizes practical application and provides students with hands-on experience in creating visual effects and interactive graphics. Students will work on projects involving the development of 3D models, animations, and visualizations for various applications such as entertainment, education, and scientific visualization.
This specialized course combines computer science with financial theory and practice. Students will learn to apply computational methods to financial problems, including risk management and algorithmic trading. The curriculum includes courses on financial modeling, quantitative analysis, and computational finance. Students will work on projects involving the development of financial models and algorithms for trading and risk management. The course emphasizes practical application and provides students with hands-on experience in financial engineering.
The department's philosophy on project-based learning is rooted in the belief that students learn best when they are actively engaged in solving real-world problems. This approach emphasizes hands-on experience, collaboration, and the application of theoretical knowledge to practical challenges. The department's project-based learning framework is designed to develop students' problem-solving skills, creativity, and technical competencies.
Mini-projects are integral components of the curriculum, typically undertaken in the second and third years. These projects are designed to be manageable in scope and duration, allowing students to apply concepts learned in their coursework to practical situations. Mini-projects are usually completed in teams of 3-5 students and are supervised by faculty members. The projects are evaluated based on technical execution, creativity, and presentation skills. Students are encouraged to choose projects that align with their interests and career goals, ensuring that they gain relevant experience and skills.
The final-year thesis or capstone project is a comprehensive endeavor that requires students to integrate their knowledge and skills to solve a complex problem. This project is typically conducted in collaboration with industry partners, providing students with exposure to real-world challenges and solutions. The capstone project is designed to be a culmination of the student's learning experience, demonstrating their ability to conduct independent research, develop innovative solutions, and communicate their findings effectively. Students are required to work closely with faculty mentors and industry partners throughout the project lifecycle.
Students have the opportunity to select their projects based on their interests and career aspirations. The department provides a wide range of project topics, including industry-sponsored projects, research initiatives, and innovative applications. Faculty mentors are assigned to guide students throughout their project journey, providing technical expertise, resources, and support. The mentorship system ensures that students receive personalized attention and guidance, helping them navigate challenges and achieve their project goals.
