Computer Science & Engineering

Computer Science & Engineering (CSE) is a discipline that combines principles of computer science and electrical engineering to design and develop computer systems, software, and applications. It covers a wide range of topics, from theoretical foundations to practical implementation and hardware design.

Key Areas in Computer Science & Engineering:

1. Software Development:

• Involves the design, coding, testing, and maintenance of software applications.
• Includes areas like web development, mobile app development, and software engineering.

2. Algorithms and Data Structures:

• Focuses on the design and analysis of algorithms and the use of data structures to efficiently solve computational problems.
• Fundamental to problem-solving in programming and system optimization.

3. Operating Systems:

• Deals with the design and implementation of operating systems that manage computer hardware and software resources.
• Includes concepts like process management, memory management, file systems, and security.

4. Computer Networks:

• Focuses on the design, implementation, and management of computer networks that enable communication between devices.
• Includes areas like network protocols, wireless communication, and the Internet.

5. Databases:

• Involves the design, implementation, and management of databases that store and retrieve large amounts of data.
• Includes relational databases, NoSQL databases, and database management systems (DBMS).

6. Artificial Intelligence and Machine Learning:

• Involves creating systems that can perform tasks that typically require human intelligence, such as speech recognition, image processing, and decision-making.
• Includes neural networks, deep learning, natural language processing (NLP), and reinforcement learning.

7. Cybersecurity:

• Focuses on protecting computer systems, networks, and data from unauthorized access, attacks, and damage.
• Includes areas like cryptography, network security, and ethical hacking.

8. Embedded Systems:

• Involves designing computing systems that are embedded within other devices, such as automotive systems, consumer electronics, and medical devices.
• Requires knowledge of both hardware and software.

9. Computer Architecture:

• Deals with the design and organization of computer hardware components, such as CPUs, memory, and input/output devices.
• Includes understanding how different architectures impact performance and efficiency.

10. Human-Computer Interaction (HCI):

• Focuses on the design of user interfaces and the interaction between humans and computers.
• Includes usability testing, user experience design (UX), and accessibility.

11. Parallel and Distributed Computing:

• Involves the study of systems that perform computations simultaneously using multiple processors or computers.
• Includes cloud computing, grid computing, and distributed algorithms.

12. Theoretical Computer Science:

• Explores the mathematical foundations of computation, including complexity theory, automata theory, and formal languages.
• Provides the theoretical underpinnings for practical computing.

Vision of the program –

To be a leading center of excellence in computer science education, fostering innovation and producing skilled professionals who can drive technological advancement and address global challenges through computing solutions.

Mission of the program –

Provide high-quality education in computer science and engineering, equipping students with theoretical knowledge and practical skills to solve real-world problems.

Program Educational Objectives (PEOs)

1. Technical Expertise: Graduates will demonstrate a strong foundation in computer science principles, enabling them to solve real-world problems, design innovative software systems, and contribute effectively to the IT industry.

2. Continuous Learning and Adaptability: Graduates will engage in lifelong learning through advanced studies, research, and professional development to keep up with evolving technologies and industry demands.

3. Ethical and Professional Conduct: Graduates will exhibit professionalism, ethical conduct, effective communication skills, and the ability to work collaboratively in diverse teams to address societal and organizational challenges.

4. Contribution to Society: Graduates will use their knowledge and skills in computer science to develop solutions that improve the quality of life and address societal needs, with a focus on sustainability and ethical considerations.

Program Outcomes (POs)

1. Engineering Knowledge: Apply the knowledge of mathematics, science, and computer science engineering fundamentals to solve complex engineering problems.

2. Problem Analysis: Identify, formulate, and analyze complex computer science engineering problems using first principles of mathematics, natural sciences, and engineering sciences.

3. Design/Development of Solutions: Design solutions for complex computer science problems and design system components or processes that meet specified needs with consideration for public health and safety, cultural, societal, and environmental considerations.

4. Investigation of Problems: Conduct investigations into complex problems, including design experiments, analyze and interpret data, and provide valid conclusions.

5. Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex computer science engineering activities, with an understanding of their limitations.

6. The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice.

7. Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.

9. Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multidisciplinary settings.

10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

12. Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes (PSOs)

1. Software Development and Applications: Graduates will be able to analyze, design, develop, and maintain software applications to meet specific needs using modern computing tools and technologies. change.

2. Networking and Security: Graduates will have the ability to design, implement, and manage secure network infrastructure, ensuring the integrity, confidentiality, and availability of information. change.

3. Data Management and Analysis: Graduates will be skilled in the collection, storage, analysis, and interpretation of data, utilizing modern data management tools and techniques to support decision-making processes.