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Computer Science and Engineering (Data Science)

Home >> Academics >> UG Programs

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)

 
Program Educational Objectives (PEO):

PEO 1: Technical Proficiency and Lifelong Learning

Graduates will be able to harness the power of data using modern data handling techniques in various fields.

PEO 2: Ethical and Responsible Data Practitioners

Graduates will be able to address real-world challenges using ethical data science principles, ensuring sustainable and equitable solutions that positively impact society.

PEO 3: Innovation, Research, and Industry Collaboration

Graduates will be able to engage in research and innovation, leveraging active collaborations with industry and academia to deliver data-driven solutions for complex problems across various domains.


Program Specific Outcomes (PSO):

PSO 1:
Apply the knowledge of Mathematics, Science and Computer Engineering fundamentals to provide sustainable solutions for complex engineering problems.

PSO 2: Articulate business or societal issue into a data science problem, followed by design experiment, data preparation and application of intelligent algorithms for efficient data- driven decision making.

PSO 3: Develop ethical and innovative software/hardware products to serve the need of the society.