Academics
Dr. Shraddha P. Phansalkar-
Ph. D. (Symbiosis International University, India), Associate Professor and Head, CS & IT department
Overview
Department of Computer Science and Engineering and Information Technology has state of the art labs, machines with high configuration and latest software required for teaching and research. The department endeavors to impart quality education to students in the areas of computer science and engineering and information technology. The programmes of the department includes B.Tech. degrees in Computer Science and Engineering with an intake of 180 and Information Technology with an intake of 60; and an M.Tech. Programme in Computer science and Engineering with an intake of 24. The department has very competent faculty to teach advanced topics of cloud computing, software quality, cyber security, artificial intelligence and so on. The faculty is actively engaged in research and publications.
Programme/ Course Structure
Ms. Grishma Jena an alumni of Computer Science Engineering batch gave a lecture on "Data Scientist as a career" on 6th of January, 2020. Ms Grishma is a Data Scientist at IBM, San Francisco . She discussed the technical details of the python projects .
Dr. Ashish Mahabal, Senior Research Scientist at the Astronomy Department of the California Institute of Technology (Caltech), in Pasadena, USA gave an engaging talk on "Applications of AI and Deep Learning"on 5th November 2019. Dr. Ashish is one of the initial members of the US National Virtual Observatory (NVO) and continues to be involved in the Technology Assessment and data-mining aspects of the Virtual Astronomy Observatory (VAO) into which NVO has evolved.
PROGRAM OUTCOMES (PO)
Engineering Graduates will be able to:
- Engineering knowledge: Apply the knowledge of mathematics, science, engineeringfundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis: Identify, formulate, review research literature, and analyze complexengineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design/development of solutions: Design solutions for complex engineering problems anddesign 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.
- Conduct investigations of complex problems: Use research-based knowledge and researchmethods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- Modern tool usage: Create, select, and apply appropriate techniques, resources, and modernengineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- The engineer and society: Apply reasoning informed by the contextual knowledge to assesssocietal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Environment and sustainability: Understand the impact of the professional engineering solutionsin societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms ofthe engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader indiverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineeringcommunity 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.
- Project management and finance: Demonstrate knowledge and understanding of theengineering 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.
- Life-long learning: Recognize the need for, and have the preparation and ability to engage inindependent and life-long learning in the broadest context of technological change.
Program Specific Outcomes
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PSO1: Engineering and Practical Knowledge
To apply the concepts of computer engineering and practical knowledge in analysis, design and development of computing systems and applications to multi-disciplinary problems. -
PSO2: Cutting Edge Technology
To provide a concrete foundation to the students in the cutting edge areas of Computer Science Engineering and further help them in excelling in the chosen areas of advanced computer science areas like Machine Learning, Algorithms, Data Science, Internet of Things, Computing and Data Security and privacy.