With Global Excellence, National Relevance and Industry preference as prime motto, the Department of Computer Science and Engineering fosters greater learning experience by providing a broader scientific and practical approach to computation and its applications.

The department has been consistently fulfilling its role by transforming students into technically competent, socially responsible and ethically professional graduates. Remarkably, two students of the department received gold medals for being the toppers at the university level.

Well-equipped class rooms, well networked Lab setups with latest software, Industry- Integrated projects, creative teaching-learning process, research based activities in the emerging areas, impressive placements, certification courses make the department well advanced on the professional front.

Flagging the reputation of Aditya at national and international levels, the faculty of the department have been conferred with numerous prestigious awards and accolades. Several faculty members review technical articles for journals, serve on the editorial boards of national and international journals, deliver guest lectures and organize workshops and symposia.

To be a recognized Computer Science and Engineering hub striving to meet the growing needs of the Industry and Society

Imparting Quality Education through state-of-the-art infrastructure with industry collaboration.

Enhance Teaching Learning Process to disseminate knowledge.

Organize Skill based, Industrial and Societal Events for overall Development.

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

Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

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.

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.

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.

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. 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.

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write

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.

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

Design, develop, and implement AI and ML systems by applying fundamental principles, algorithms, and techniques.

Collect, preprocess, and analyze large and diverse datasets to extract meaningful insights using AI and ML techniques to support data-driven decision-making processes in various domains.

Expertise in designing, developing, and deploying AI and ML solutions for healthcare, finance, and autonomous system problems.

Adapt to evolving technologies and industry trends in AI and ML through continuous learning and self-improvement.

Possess strong communication and teamwork skills, enabling them to effectively collaborate with interdisciplinary teams and solve complex problems using AI and ML concepts.

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