Welcome to Artificial Intelligence And Data Science
St. Joseph College of Engineering establishes a new department “Artificial Intelligence and Data Science” in the year of 2022 with an intake of 60, with an objective of imparting quality education in the Artificial Intelligence and Data Science Engineering. The department will be motivated by its dedication to being leaders in the field of artificial intelligence and data analytics research, design, and development of next-generation cutting-edge technologies.
Thanks & Regards
Mrs.G.S.Jackulin Asha
Assistant Professor & Head,
Artificial Intelligence and Data Science,
Mob:7598874202.
E-mail:aidshod@stjoseph.ac.in
Vision & Mission
VISION
To cultivate creative minds for academic achievement with a focus on in-depth technological knowledge in order to create a sustainable society based on values.
MISSION
• Creating individuals with practical training and expertise to satisfy corporate demands.
• Establishing a climate of academic success using the most effective teaching-learning strategies.
• To be a globally preferred department with moral principles, problem-solving skills, higher learning and research on Artificial Intelligence and Data Science.
PROGRAM OUTCOMES:
Engineering Graduates will be able to:
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineeringproblemsreachingsubstantiatedconclusionsusingfirstprinciplesofmathematics, natural sciences, and engineering sciences.
3. 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. 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. 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. 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. 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. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. 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. 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. 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:
PSO1: Understand to create software by using algorithmic thinking and having a thorough knowledge of Artificial |Intelligence and Data Science foundational ideas.
PSO2: Ability to work well in cross-functional teams to resolve challenging Artificial Intelligence and Data Science issues.
PSO3: Ability to provide responsible and morally sound AI&DS solutions.
PROGRAM EDUCATIONAL OUTCOMES:
PEO1: To apply the knowledge and expertise in Data Science and Artificial Intelligence to create creative, ethically sound solutions for interdisciplinary problems.
PEO2: To improve one’s capacity for problem solving and ability to offer solutions to real world problem.
PEO3: To cultivate the capacity and mindset to adjust to new technological challenges.
Objective
OBJECTIVES
• To develop motivated and skilled engineers through theoretical knowledge and practical applications.
• Provide students with the knowledge and skills necessary for analyze and solve problems using mathematical models, then development and creativity in various fields of work through the use of data science and artificial intelligence.
• To provide the guidance to develop moral and ethical attitudes.
