OVERVIEW:
Today the AI has become very popular worldwide. The era is
known as era of Artificial Intelligence. AI is simulation of natural
intelligence in machines that has the capability to think, mimic and execute
tasks like human. It is continuously growing area. It can be applied in various
sectors like healthcare, agriculture, retail, transportation, banking, oil and
gas etc. for different purposes. Data Science and Machine learning are the
branches of AI which learns from data finds patterns and makes decisions. Some
examples of Artificial Intelligence include self-driving cars, computers that
play chess, credit card fraud detection, automation, and robotics to help
farmers to find out more effective ways to protect their crops from weeds.
Levels of
Awards/Exit Points
|
Award |
Duration |
|
B.Tech. Artificial
Intelligence & Data Sciences |
4 Year |
PROGRAM OUTCOMES
Engineering Graduates will be able to:
1) PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2) 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.
3) 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 the cultural, societal, and environmental considerations.
4) 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.
5) PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
6) 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.
7) PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
8) PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9) PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10) PO10: Communication: Communicate effectively on complex engineering activities with the engineering community 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.
11) PO11: Project management and finance: Demonstrate knowledge and understanding of the 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.
12) PO12: 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
PSO 1: Understand, analyze, and develop innovative solutions for real world problems in industry and research establishments related to Artificial Intelligence and Data Science
PSO 2:Ability to develop skills to address and solve social and environmental problem with ethics and perform multidisciplinary projects with advance technologies and tools.
LABORATORY:
VALUE ADDED COURSE:
· The department provides certification for CCNA through SMS CISCO Networking Academy.
PROJECTS ON :
· HTML & JAVA SCRIPT
· ASP.NET
· Android & Advanced Java
· Summer Internship Project
· Python
· Machine Learning and Artificial Intelligence
· Internet of Things
· Minor Project
· Major Project
OTHER
ACTIVITIES:
·
Workshops
·
Guest Lectures
·
Industrial Visit.
·
Seminars
· Live Projects
Course Outecome:
Contact:
|
Name |
Contact No. |
Email ID |
|
Mr. Sunit Kumar Mishra |
8948313175 |
sunitkumarmishra@smslucknow.ac.in |
