Computer Science Engineering PO & PEO'S

Apply the knowledge of mathematics, basic science and in depth technical competence in computer science and engineering discipline to meet the solution of complex engineering problems.

Identify, formulate, review various computer science research literature, and analyze complex engineering problems using basic principles of mathematics, natural sciences, and engineering sciences to reach substantiated conclusions

Designs of software solutions for complex computer science and engineering problems and design system 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 in the field of computer science and engineering 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 software tools including prediction and modeling to complex engineering activities with an understanding of the limitations

Apply reasoning obtained from the contextual knowledge of computer science to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice

Understand the impact of the software 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 computer science and engineering practice.

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

Communicate effectively on complex computer engineering activities with the engineering community and with society at large, such as being able to make effective presentations, write effective reports and design documentation.

Demonstrate knowledge and understanding of the software 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 computer engineering and technological change.

Understand fundamental concepts in statistics, mathematics and computer science and apply these concepts in core areas of the Data Science domain to solve industry and societal problems. Exposure to emerging trends and technologies to prepare students for industry ready

Design and Develop models in Data Science for real life problem solving in multidisciplinary fields using visualization and interpretation, machine learning, deep learning and Big Data analytics, through acquired knowledge and current industry trends based on modern tools to solve case studies by applying various technologies.

Graduate will gain knowledge in core computer science and engineering fields such as networks, data management and application development.

Graduate will gain expertise in different aspects of Computer Science and Data Science related fields such as Statistical foundations of data Science, data collection, visualization, processing and modelling of large data sets and related programming knowledge

Graduate will demonstrate proficiency with statistical analysis, data management and create models using applied statistics mathematics to solve future challenges and real-world problems exhibit team management capability with proper communication in a job environment

Graduate will be trained as professionals to cater the growing demand for data scientists and engineers in industry.