Curriculum Overview
The Computer Applications program at Dayananda Sagar University Bangalore follows a structured and progressive curriculum designed to build strong foundational knowledge and advanced technical skills. The program spans eight semesters, with each semester carrying specific credit requirements and subject distributions.
Course Structure Table
| Semester | Course Code | Course Title | L-T-P-C | Pre-requisites |
|---|---|---|---|---|
| 1 | CS101 | Engineering Mathematics I | 3-0-0-3 | - |
| 1 | CS102 | Physics for Computer Science | 3-0-0-3 | - |
| 1 | CS103 | Chemistry for Engineering | 3-0-0-3 | - |
| 1 | CS104 | Introduction to Programming | 2-0-2-3 | - |
| 1 | CS105 | English for Communication | 2-0-0-2 | - |
| 1 | CS106 | Computer Graphics Lab | 0-0-3-2 | - |
| 2 | CS201 | Engineering Mathematics II | 3-0-0-3 | CS101 |
| 2 | CS202 | Data Structures and Algorithms | 3-0-0-3 | CS104 |
| 2 | CS203 | Digital Logic and Computer Organization | 3-0-0-3 | - |
| 2 | CS204 | Object-Oriented Programming with Java | 2-0-2-3 | CS104 |
| 2 | CS205 | Electronics for Computer Science | 3-0-0-3 | - |
| 2 | CS206 | Data Structures Lab | 0-0-3-2 | CS202 |
| 3 | CS301 | Database Management Systems | 3-0-0-3 | CS202 |
| 3 | CS302 | Operating Systems | 3-0-0-3 | CS203 |
| 3 | CS303 | Computer Networks | 3-0-0-3 | CS205 |
| 3 | CS304 | Software Engineering | 3-0-0-3 | CS202 |
| 3 | CS305 | Web Technologies | 2-0-2-3 | CS204 |
| 3 | CS306 | Database Lab | 0-0-3-2 | CS301 |
| 4 | CS401 | Design and Analysis of Algorithms | 3-0-0-3 | CS202 |
| 4 | CS402 | Artificial Intelligence and Machine Learning | 3-0-0-3 | CS301 |
| 4 | CS403 | Cybersecurity Fundamentals | 3-0-0-3 | CS302 |
| 4 | CS404 | Data Science and Analytics | 3-0-0-3 | CS301 |
| 4 | CS405 | Mobile Application Development | 2-0-2-3 | CS204 |
| 4 | CS406 | AI and ML Lab | 0-0-3-2 | CS402 |
| 5 | CS501 | Cloud Computing and DevOps | 3-0-0-3 | CS402 |
| 5 | CS502 | Internet of Things (IoT) | 3-0-0-3 | CS303 |
| 5 | CS503 | Human-Computer Interaction | 3-0-0-3 | CS204 |
| 5 | CS504 | Game Development | 2-0-2-3 | CS204 |
| 5 | CS505 | Embedded Systems | 3-0-0-3 | CS203 |
| 5 | CS506 | IoT Lab | 0-0-3-2 | CS502 |
| 6 | CS601 | Advanced Topics in AI and ML | 3-0-0-3 | CS402 |
| 6 | CS602 | Blockchain Technologies | 3-0-0-3 | CS403 |
| 6 | CS603 | Big Data Analytics | 3-0-0-3 | CS404 |
| 6 | CS604 | Mobile App Development Lab | 0-0-3-2 | CS504 |
| 7 | CS701 | Capstone Project I | 2-0-0-4 | - |
| 7 | CS702 | Research Methodology | 2-0-0-2 | - |
| 8 | CS801 | Capstone Project II | 2-0-0-4 | CS701 |
Detailed Departmental Elective Courses
The following advanced departmental electives provide specialized knowledge and skills to students:
- Deep Learning with TensorFlow: This course explores deep neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) using TensorFlow 2.x. Students learn to implement models for image recognition, natural language processing, and time series forecasting.
- Blockchain Technologies: Covers distributed ledgers, smart contracts, cryptocurrency systems, and decentralized applications (dApps). Students build practical blockchain solutions using Ethereum and Hyperledger frameworks.
- Internet of Things (IoT) and Embedded Systems: Focuses on connecting physical devices to the internet, designing embedded controllers, and managing sensor networks. Includes hands-on projects involving Arduino, Raspberry Pi, and ESP32 platforms.
- Software Engineering Principles: Covers software architecture, testing strategies, version control systems, and agile methodologies. Students apply industry-standard tools like JIRA, GitLab, and Jenkins to manage complex software development projects.
- Game Development: Teaches game design principles, 3D modeling, animation techniques, and scripting using Unity or Unreal Engine. Projects include creating interactive games for PC, mobile, and VR platforms.
- Cybersecurity in Practice: Provides practical experience in ethical hacking, penetration testing, network security, and incident response. Students conduct simulations of real-world attacks and defend against them using industry-standard tools like Metasploit and Wireshark.
- Data Science and Big Data Analytics: Focuses on extracting insights from large datasets using statistical methods and predictive modeling. Includes hands-on experience with Hadoop, Spark, Python libraries (Pandas, Scikit-learn), and cloud platforms like AWS and GCP.
- Cloud Computing and DevOps: Covers cloud architecture, containerization using Docker, orchestration with Kubernetes, and deployment automation. Students deploy applications to AWS, Azure, and Google Cloud Platform environments.
- Mobile Application Development: Teaches cross-platform app development using frameworks like Flutter, React Native, and Xamarin. Projects include building apps for iOS and Android devices with modern UI/UX principles.
- Human-Computer Interaction: Explores user experience design, usability testing, and interaction design principles. Students prototype interfaces using Figma, Sketch, and Adobe XD, and evaluate them through user research methods.
Project-Based Learning Philosophy
The department believes in the power of experiential learning through project-based education. Students are encouraged to apply theoretical concepts to real-world challenges throughout their academic journey. The approach fosters critical thinking, teamwork, and innovation skills essential for future professionals.
Mini-Projects (First Year)
Students work on small-scale projects in their first year, focusing on basic programming concepts, data structures, and simple software development tasks. Projects are typically completed within one semester and evaluated based on design, implementation, and documentation quality.
Final-Year Capstone Project
The capstone project is a significant undertaking that spans two semesters (7th and 8th). Students select topics aligned with their interests or industry needs, often collaborating with faculty members or external partners. The project involves:
- Problem identification and scoping
- Research and literature review
- Design and prototyping
- Implementation and testing
- Documentation and presentation
Students receive guidance from assigned faculty mentors and must present their work at a final showcase event open to industry experts, faculty, and peers. Successful projects often lead to patents, publications, or commercialization opportunities.