About CSE (DS) Department
The Department of Computer Science and Engineering (CSE – DS) was established in the year 2020Â with the aim of providing inclusive technology education to students from all over India and the world and thereby creating responsible citizens who would contribute to the betterment of their families, society and nation.
The vision of CSE department is to emerge as a world class technology department through education, innovation and collaborative research.
The department has progressed with a vision and a strong commitment to developing competent programmers with uncompromising standard of excellence in the training, both class room sessions and hands on sessions, given to students.
The department has well equipped computing laboratories and a rich repository of software covering a wide spectrum of applications.
VISION
To be recognized as a Centre of Excellence in Data Science to meet the ever growing needs of Industry and Society.
MISSION
M1 : To empower students with innovative and cognitive skills to gain expertise in the field of Data science.
M2 : To Inculcate the seeds of knowledge by providing industry conducive environment to enable students excel in the field of Data Science.
M3 : To provide an appropriate ambience to nurture the young Data Science professionals.
Program Educational Objectives (PEOs)
Graduates of the program are able to :
PEO 1. Domain Knowledge : Develop a broad academic and practical literacy in computer science, statistics, and optimization, with relevance in data science.
PEO 2. Professional Employment : Employed in industry, government and entrepreneurial endeavors to have a successful professional career.
PEO 3. Higher Degrees : Pursue higher education in the domain of data analytics or research.
PEO 4. Engineering Citizenship : Contribute to the society and human well-being by applying ethical principles.
PEO 5. Lifelong Learning : Pursue lifelong learning in generating innovative engineering research based solutions using latest innovative tools and technologies.
Program Outcomes (POs)
PO1: Engineering Knowledge : Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO2: Problem Analysis : Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3: Design/Development of Solutions : Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO4: Conduct Investigations of Complex Problems : Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
PO5: Engineering Tool Usage : Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO6: The Engineer and The World : Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
PO7: Ethics : Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8: Individual and Collaborative Team work : Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9: Communication : Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10: Project Management and Finance : Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11: Life-Long Learning : Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
Knowledge and Attitude Profile (WK)
WK1:Â A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
WK4:Â Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
WK5:Â Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
WK6:Â Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
WK7:Â Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
WK9: Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.
Program Specific Outcomes (PSOs)
By the end of the program, the student will be able to :
| PSO1 | Understand fundamental concepts in statistics, mathematics and computer Science to gain an understanding and working knowledge of various tools for analysis. |
| PSO2 | Represent the knowledge, predicate logic and then transform the real life information into visually appealing data using suitable tools. |
| PSO3 | Get Expertise in different aspects and appropriate models of Data Science and use large data sets to cater to the growing demand for data scientists and engineers in industry. |
