|
Course Name: |
M.Tech [2 Years] |
|
Level: |
PG Started in the year 2021 with an intake of 18. |
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Year of Approval: |
2021 |
|
Professional Activities |
Conducted workshop on IoT |
Under Graduation
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Course Name: |
B.Tech [4 years] |
|
Level: |
UG Started in the year 2022 with an intake of 60. |
|
Year of Approval: |
2022 |
|
Professional Activities |
Conducted workshop on DevOps |
Program Educational Objectives (PEOs)
PEO1: Core Competence: Graduates will showcase their proficiency in diverse applications by applying technical skills in the field of Artificial Intelligence and Data Science.
PEO2: Successful Career: Graduates will leverage their knowledge by employing Artificial Intelligence and Data Science tools to address the real-world challenges.
PEO3: Ethics and Continuous Learning: Graduates will commit to continuous learning, ensuring excellence in their profession while maintaining social awareness and responsibility.
Program Outcomes (POs)
PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3: Design/development of solutions: 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 cultural, societal, and environmental considerations.
PO4: Conduct investigations of complex problems: 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.
PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO6: The engineer and society: 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.
PO7: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO8: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO9: Communication: Communicate effectively on complex engineering activities with the engineering community and with the 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.
PO10: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one‘s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO11: Life-long learning: 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.
Program Specific Outcomes (PSOs)
PSO1: Develop IT infrastructure: Ability to design, implement and apply computational skills related to Artificial Intelligence and Data Science.
PSO2: Design / Develop software products: Ability to apply tools and techniques to provide successful solutions in the multidisciplinary field.
PSO3: Innovative Career: Ability to critique the role of information and analytics for a innovative career, research activities and consultancy.
Programs / COurses)
|
Sl.No |
Name of the Department |
Intake |
|
1 |
B.Tech in Artificial Intelligence and Data Science |
60 |
|
2 |
M.Tech in Artificial Intelligence and Data Science |
18 |
