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A.D.PATEL INSTITUTE OF TECHNOLOGY

(The Charutar Vidya Mandal (CVM) University)
An ISO 9001:2015 Certified Institute

Department of Computer Engineering

Under Graduate Program B.Tech. Computer Science and Design

Showing objectives for: B.Tech. Computer Science and Design UG Program

Programme Educational Objectives [PEOs]

PEO 1
To prepare graduates for successful careers as competent computer engineering professionals in traditional and emerging domains with strong technical and problem-solving skills.
PEO 2
To encourage graduates to pursue higher education, research, or professional certifications and engage in lifelong learning, innovation, and interdisciplinary problem solving for real-world applications.
PEO 3
To develop leadership, communication, teamwork, entrepreneurship, ethical values, adaptability, and emotional intelligence for responsible societal contribution and professional growth.

Program Outcomes [POs]

PO 1
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 2
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO 3
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO 4
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO 5
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO 6
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO 7
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO 8
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 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.
PO 11
Project management and finance: Demonstrate knowledge and understanding of the 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.
PO 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]

PSO 1
Apply the fundamentals of engineering, mathematics, and computer science to analyze, design, and develop efficient software solutions for real-world and domain-specific problems using appropriate algorithms and computational techniques.
PSO 2
Design and implement software systems of varying complexity using modern programming languages, open-source technologies, frameworks, and tools by following standard software engineering principles, policies, and best development practices.
PSO 3
Employ standard methodologies for system modeling, development, testing, and validation with a focus on optimization, performance, scalability, and quality in computer-based systems.