Comprehensive Course Structure
The Computer Applications program at Scope Global Skills University Bhopal is structured over 8 semesters to provide a comprehensive and progressive learning experience. The curriculum is designed to build foundational knowledge in the first two years, deepen understanding in the third year, and culminate in advanced specialization and practical application in the final year.
First Year Courses
The first year focuses on building a strong foundation in mathematics, physics, and basic computer science concepts. Students are introduced to programming fundamentals, data structures, and algorithmic thinking through a combination of lectures, laboratory sessions, and project-based learning.
Second Year Courses
During the second year, students delve deeper into core computer science subjects such as database management systems, operating systems, computer networks, and software engineering principles. The curriculum emphasizes both theoretical understanding and practical application, with students working on hands-on projects that simulate real-world scenarios.
Third Year Courses
The third year is dedicated to advanced topics and specialization. Students can choose from various elective courses that align with their interests and career goals. The university offers a wide range of specializations, including artificial intelligence, cybersecurity, data science, cloud computing, and mobile application development.
Fourth Year Courses
The final year of the program is characterized by the capstone project, which is a comprehensive, multi-disciplinary endeavor that integrates all the knowledge and skills acquired throughout the program. Students work on a substantial project that addresses a real-world problem or develops a novel solution.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | CS101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | CS102 | Physics for Computer Applications | 3-1-0-4 | None |
| 1 | CS103 | Introduction to Programming | 3-0-2-4 | None |
| 1 | CS104 | Computer Fundamentals | 3-0-2-4 | None |
| 1 | CS105 | English for Communication | 3-0-0-3 | None |
| 1 | CS106 | Workshop on Programming | 0-0-4-2 | CS103 |
| 2 | CS201 | Engineering Mathematics II | 3-1-0-4 | CS101 |
| 2 | CS202 | Chemistry for Computer Applications | 3-1-0-4 | None |
| 2 | CS203 | Data Structures and Algorithms | 3-1-0-4 | CS103 |
| 2 | CS204 | Object Oriented Programming | 3-0-2-4 | CS103 |
| 2 | CS205 | Computer Organization and Architecture | 3-1-0-4 | CS104 |
| 2 | CS206 | Workshop on Data Structures | 0-0-4-2 | CS203 |
| 3 | CS301 | Database Management Systems | 3-1-0-4 | CS203 |
| 3 | CS302 | Operating Systems | 3-1-0-4 | CS205 |
| 3 | CS303 | Computer Networks | 3-1-0-4 | CS205 |
| 3 | CS304 | Software Engineering | 3-1-0-4 | CS204 |
| 3 | CS305 | Discrete Mathematics | 3-1-0-4 | CS101 |
| 3 | CS306 | Workshop on Software Engineering | 0-0-4-2 | CS304 |
| 4 | CS401 | Design and Analysis of Algorithms | 3-1-0-4 | CS203 |
| 4 | CS402 | Web Technologies | 3-1-0-4 | CS204 |
| 4 | CS403 | Mobile Application Development | 3-1-0-4 | CS204 |
| 4 | CS404 | Human Computer Interaction | 3-1-0-4 | CS204 |
| 4 | CS405 | Computer Graphics | 3-1-0-4 | CS203 |
| 4 | CS406 | Workshop on Web Technologies | 0-0-4-2 | CS402 |
| 5 | CS501 | Artificial Intelligence | 3-1-0-4 | CS301 |
| 5 | CS502 | Machine Learning | 3-1-0-4 | CS301 |
| 5 | CS503 | Cybersecurity | 3-1-0-4 | CS303 |
| 5 | CS504 | Data Science | 3-1-0-4 | CS301 |
| 5 | CS505 | Cloud Computing | 3-1-0-4 | CS302 |
| 5 | CS506 | Workshop on AI | 0-0-4-2 | CS501 |
| 6 | CS601 | Advanced Database Systems | 3-1-0-4 | CS301 |
| 6 | CS602 | Distributed Systems | 3-1-0-4 | CS302 |
| 6 | CS603 | Internet of Things | 3-1-0-4 | CS303 |
| 6 | CS604 | Embedded Systems | 3-1-0-4 | CS205 |
| 6 | CS605 | Computer Vision | 3-1-0-4 | CS501 |
| 6 | CS606 | Workshop on IoT | 0-0-4-2 | CS603 |
| 7 | CS701 | Research Methodology | 3-0-0-3 | CS301 |
| 7 | CS702 | Capstone Project I | 0-0-6-6 | CS501 |
| 7 | CS703 | Project Management | 3-1-0-4 | CS304 |
| 7 | CS704 | Special Topics in Computer Applications | 3-1-0-4 | CS501 |
| 7 | CS705 | Internship | 0-0-0-12 | CS601 |
| 7 | CS706 | Workshop on Capstone Project | 0-0-4-2 | CS702 |
| 8 | CS801 | Capstone Project II | 0-0-6-6 | CS702 |
| 8 | CS802 | Advanced Topics in Computer Applications | 3-1-0-4 | CS704 |
| 8 | CS803 | Professional Ethics | 3-0-0-3 | None |
| 8 | CS804 | Entrepreneurship | 3-0-0-3 | None |
| 8 | CS805 | Final Project Presentation | 0-0-4-2 | CS801 |
| 8 | CS806 | Workshop on Final Project | 0-0-4-2 | CS801 |
Advanced Departmental Elective Courses
The department offers a wide range of advanced departmental elective courses that allow students to specialize in specific areas of interest and develop expertise in cutting-edge technologies. These courses are designed to provide students with in-depth knowledge and practical skills that are highly valued in the industry.
Artificial Intelligence and Machine Learning
This course provides students with a comprehensive understanding of artificial intelligence concepts and machine learning algorithms. Students learn about neural networks, deep learning, natural language processing, and computer vision. The course emphasizes both theoretical foundations and practical implementation, with students working on real-world projects using frameworks such as TensorFlow and PyTorch. The learning objectives include developing skills in algorithm design, data analysis, and model evaluation. Students will be able to build and deploy AI applications that solve complex problems in various domains.
Cybersecurity and Network Security
This course covers the fundamental principles of cybersecurity and network security. Students study topics such as cryptography, network security protocols, ethical hacking, and security management. The course includes hands-on laboratory sessions where students practice security assessment techniques and learn to defend against various cyber threats. The learning objectives include understanding security vulnerabilities, implementing security measures, and developing skills in penetration testing and security auditing. Students will be able to design and implement secure systems that protect against cyber attacks.
Data Science and Big Data Analytics
This course focuses on the techniques and tools used in data science and big data analytics. Students learn about data mining, statistical analysis, predictive modeling, and data visualization. The course emphasizes practical application through projects that involve real-world datasets. The learning objectives include developing skills in data analysis, statistical modeling, and data interpretation. Students will be able to extract insights from large datasets and communicate findings effectively to stakeholders.
Cloud Computing and Distributed Systems
This course provides students with knowledge of cloud computing architectures and distributed systems. Students study topics such as cloud architecture, virtualization, containerization, and microservices. The course includes hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud. The learning objectives include understanding cloud computing concepts, designing scalable systems, and implementing distributed applications. Students will be able to develop and deploy applications in cloud environments.
Mobile Application Development
This course focuses on the development of mobile applications for various platforms. Students learn about mobile UI/UX design, mobile development frameworks, and mobile security. The course emphasizes practical development skills through hands-on projects. The learning objectives include developing skills in mobile application design, implementing mobile features, and testing mobile applications. Students will be able to create innovative mobile applications for various domains.
Software Engineering and Systems Design
This course covers the principles and practices of software engineering and systems design. Students study topics such as software architecture, software testing, and project management. The course emphasizes practical application through real-world projects that simulate industry scenarios. The learning objectives include understanding software development lifecycle, designing scalable systems, and managing software projects effectively. Students will be able to develop high-quality software solutions and manage software development projects.
Human-Computer Interaction and User Experience
This course focuses on the design and evaluation of interactive systems for human users. Students study topics such as user interface design, usability testing, and user experience research. The course includes hands-on experience with design tools and user research methods. The learning objectives include developing skills in user-centered design, conducting usability studies, and evaluating interactive systems. Students will be able to design and prototype interactive systems that provide excellent user experiences.
Internet of Things (IoT) and Embedded Systems
This course provides students with knowledge of IoT and embedded systems. Students study topics such as sensor networks, embedded programming, and IoT security. The course includes hands-on experience with IoT development platforms and embedded systems. The learning objectives include understanding IoT architectures, developing embedded applications, and implementing IoT solutions. Students will be able to design and develop IoT systems that connect and communicate with various devices.
Computer Graphics and Visualization
This course focuses on the creation and manipulation of digital images and visual content. Students study topics such as 3D modeling, animation, and computer graphics algorithms. The course emphasizes practical application through projects that involve creating interactive 3D applications. The learning objectives include developing skills in 3D modeling, animation, and computer graphics programming. Students will be able to create compelling visual experiences for various applications.
Database Systems and Information Retrieval
This course covers the design and implementation of database systems and information retrieval techniques. Students study topics such as database design, query optimization, and information retrieval algorithms. The course includes hands-on experience with database management systems and information retrieval tools. The learning objectives include understanding database concepts, designing efficient databases, and implementing information retrieval systems. Students will be able to develop and manage database systems and information retrieval solutions.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that practical experience is essential for developing competent and confident professionals. This approach emphasizes hands-on learning, collaboration, and real-world problem-solving skills. The project-based learning framework is integrated throughout the curriculum, with students engaging in both individual and group projects that mirror industry challenges.
Mini-Projects
Mini-projects are undertaken in the third and fourth years of the program, providing students with opportunities to apply theoretical knowledge to practical problems. These projects are typically completed within a semester and are designed to be manageable yet challenging. The projects are supervised by faculty members and are evaluated based on technical merit, innovation, and presentation skills. The mini-projects help students develop critical thinking skills and prepare them for more substantial capstone projects.
Final-Year Thesis/Capstone Project
The final-year capstone project is a comprehensive, multi-disciplinary endeavor that integrates all the knowledge and skills acquired throughout the program. Students work on a substantial project that addresses a real-world problem or develops a novel solution. The capstone project is typically undertaken in collaboration with industry partners, ensuring that the work is relevant and has practical implications. Students are required to select their projects and mentors based on their interests and career goals. The project is evaluated by a committee of faculty members and industry professionals, with emphasis on innovation, technical excellence, and practical impact.
Project Selection and Mentorship
Students have the opportunity to select their projects and mentors based on their interests and career aspirations. The department provides a list of potential project topics and faculty mentors, but students are encouraged to propose their own ideas. The project selection process involves discussions with faculty members to ensure that the chosen project is feasible and aligns with the student's interests. Faculty mentors provide guidance and support throughout the project development process, helping students navigate challenges and develop their skills.