Artificial Intelligence And Machine Learning
Department of Artificial Intelligence & Machine Learning at P.E.S’s Modern College of Engineering started in the academic year 2020-2021. The department has undergraduate (UG) program with intake capacity of 60 and covers fundamentals of computer science courses along with the required courses relating to AI and ML. The program is approved by A.I.C.T.E. New Delhi and affiliated to Savitribai Phule Pune University (SPPU), Pune.
Artificial intelligence & Machine Learning is an associated branch of Computer Science which emphases on technology for generating intelligent machines. AI is a technology which allows a machine to simulate human behaviour. ML is a subset of AI which allows a machine to automatically learn from past data without programming explicitly. The goal of AI is to make a smart computer system like humans to solve complex problems. Machine learning focuses on the development of computer programs.
Abundant career opportunities of AI & ML are present in different fields. The jobs in AI & ML include Big Data Engineer, Business Intelligence Developer, Data Scientist, Software analysts and developers, Computer scientists and computer engineers, AI Algorithm specialists, Research scientists, AI &ML Engineer, Machine Learning and Artificial Intelligence Scientist, AI Software Engineer and many more.
Vision
To Nurture professionals in the field of Artificial Intelligence and Machine Learning by disseminating knowledge and skills in the area of Artificial Intelligence and Machine Learning and inculcate into them social and ethical values towards serving the greater cause of the society
Mission
- M1: To foster students with the latest technologies in the area of Artificial Intelligence and Machine Learning.
- M2: To prepare students industry ready by imparting training programs in the fields of Artificial Intelligence and Machine Learning.
- M3: To encourage students towards research and development to solve complex problems.
- M4: Instill values that will assist in developing professionals with social and ethical responsibilities.
Program Outcomes (POs)
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Students are expected to know and be able to–
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PO1
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Engineering
knowledge
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An ability to apply knowledge of mathematics, computing, science, engineering and technology.
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PO2
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Problem analysis
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An ability to define a problem and provide a systematic solution with the help of conducting experiments, analyzing the problem and interpreting the data.
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PO3
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Design / Development of Solutions
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An ability to design, implement, and evaluate a software or a software/hardware system, component, or process to meet desired needs within realistic constraints.
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PO4
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Conduct Investigations of
Complex Problems
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An ability to identify, formulates, and provides systematic solutions to complex engineering/Technology problems.
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PO5
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Modern Tool Usage
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An ability to use the techniques, skills, and modern engineering technology tools, standard processes necessary for practice as an IT professional.
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PO6
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The Engineer and Society
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An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modelling and design of computer-based systems with necessary constraints and assumptions.
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PO7
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Environment and Sustainability
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An ability to analyze and provide solution for the local and global impact of information technology on individuals, organizations and society.
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PO8
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Ethics
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An ability to understand professional, ethical, legal, security and social issues and responsibilities.
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PO9
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Individual and Team
Work
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An ability to function effectively as an individual or as a team member to accomplish a desired goal(s).
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PO10
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Communication Skills
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An ability to engage in life-long learning and continuing professional development to cope up with fast changes in the technologies/tools with the help of electives, professional organizations and extra- curricular activities.
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PO11
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Project Management and Finance
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An ability to communicate effectively in engineering community at large by means of effective presentations, report writing, paper publications, demonstrations.
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PO12
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Life-long Learning
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An ability to understand engineering, management, financial aspects, performance, optimizations and time complexity necessary for professional practice.
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Program Specific Outcomes (PSO’s)
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A graduate of the Artificial Intelligence and Machine Learning Program will demonstrate
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PSO1
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An ability to apply the theoretical concepts and practical knowledge of Artificial Intelligence & Machine Learning for the design of information processing systems
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PSO2
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Practice communication, decision-making skills, teamwork skills through the use of appropriate tools and technologies and be ready for professional responsibilities
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PSO3
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An understanding of professional, business processes,ethical,legal,security,social issues and responsibilities
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PSO4
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Practice communication and decision-making skills through the use of appropriate technology and be ready for professional responsibilities.
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Program Educational Objectives (PEO’s)
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A graduate of the Artificial Intelligence and Machine Learning Program will able to-
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PEO1
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Possess knowledge and skills in the field of Artificial Intelligence & Machine Learning for analyzing, designing and implementing complex engineering problems of any domain with innovative solutions
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PEO2
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Possess better communication skills ,time management skills leading to responsible and competent professionals and will be able to address challenges in the field of Artificial Intelligence & Machine Learning
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PEO3
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Possess an attitude and aptitude for research, entrepreneurship and higher studies in the field of Artificial Intelligence & Machine Learning and have commitment to ethical practices and lifelong learning
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PEO4
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Have commitment to ethical practices, societal contributions through communities and life-long learning.
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PEO5
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Possess better communication, presentation, time management and teamwork skills leading to responsible & competent professionals and will be able to address challenges in the field of AI & ML at global level.
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