Saturday, April 05, 2025

Vision

To evolve as a Center of Excellence in emerging areas, impart quality education to produce ethical, motivated and skilled professionals to meet the ever-increasing technological & social challenges.

 

Mission

M1: To impart students with self-discipline, hard work, all-round personality development and creative problem-solving approach.

M2: To provide quality-education by using the latest infrastructure and nurturing collaborative culture.

M3: To provide students an opportunity to learn both foundational and experimental components in emerging areas.

M4: To promote and nurture the spirit of innovation and entrepreneurship in our students.

M5: To emerge as a Center of Excellence through Research, Consultancy and Development Activities.

 

Program Educational Objectives (PEOs)

PEO 1: Graduates will acquire capability to apply their knowledge and skills to solve various kinds of computational engineering problems.

PEO 2: Graduates will exhibit the ability to apply the acquired skills in various domains and multi-disciplinary areas, to function ethically and meet the ever-increasing technological and social challenges.

PEO 3: To evolve as resourceful engineers catering to dynamic industrial needs and engage in life-long learning.

PEO 4: Graduates will acquire soft skills to adapt and excel in diverse global environment.

 

Program Specific Outcomes(PSOs)

  1. To gain deeper insights into Machine Learning algorithms, extract inherent patterns from real-world data and convert them into actionable items

 

  1.  To understand the challenges in the fitting of optimal Deep Neural Network models that solve image classification, semantic segmentation, and object tracking problems

 

  1. To efficiently represent the Natural Language and exploit the capabilities of sequence models for solving NLP problems such as sentiment analysis, language understanding, language translation, and image captioning

 

  1. To become conversant with parallel architectures, develop and deploy scalable and sustainable AI applications using DevOps.

 

Program Outcomes(POs)

PO1 - Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2 - 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.

PO3 - 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.

PO4 - 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.

PO5 - 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.

PO6 - 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.

PO7 - 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.

PO8 - Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9 - Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10 - 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.

PO11 - 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.

PO12: 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.