Artificial Intelligence and Data Science is a program offered at Department of Computer Science and Engineering. Building human-level thought processes through the creation of artificial intelligence (AI) is the state-of-the-art in Computer Science. Intelligent machines are influenced by emerging technologies, smart devices, sensors, computing power, faster data processing, huge storage and human-machine interaction capabilities. Data Science is an interdisciplinary field with the ability to extract knowledge/insights from data - be it structured, unstructured, or semi-structured data. Twinned with Artificial Intelligence, more efficient solutions to find meaningful information from huge pools of data are possible today, with data from multiple sources - sensors, images, streaming video, satellite, medical imagery and the cloud.
This graduate program has a comprehensive coverage of applied mathematics used in data science and artificial intelligence while preparing the students to analyze, design and experiment solutions to problems. The curriculum targets technical and design skills, AI knowledge, and competencies needed to master strategic analytical methods and tools, and data management, with the objective of creating innovative strategies to solve challenging real-world problems.
Data Structure and Analytics Lab.
Object Oriented Programming Lab.
Data Visualization Lab.
Natural Language Processing Lab.
To be a leading centre for education, research, and innovation in artificial intelligence and data science.
To prepare students to be ethical and responsible leaders in the field of artificial intelligence and data science.
To make a positive impact on society through the use of artificial intelligence and data science.
To provide students with a world-class education in artificial intelligence and data science.
To conduct cutting-edge research in artificial intelligence and data science.
To promote ethical and responsible use of artificial intelligence and data science.
To prepare students for successful careers in artificial intelligence and data science.
To collaborate with industry and academia to solve real-world problems using artificial intelligence and data science.
Problem-solving skills
Critical thinking skills
Communication skills
Teamwork skills
Data analysis skills
Artificial intelligence skills
The need to use artificial intelligence and data science responsibly
Create awareness about risks of uncontrolled AI development
The responsibility of artificial intelligence and data science professionals to be ethical and responsible in their work.
| PEO1: | Graduates Will Have The Capabilities To Apply AI&DS Knowledge To Develop Feasible Systems. |
| PEO2: | Graduates Will Be Able To Handle The Challenges Of Rapidly Changing Technology. |
| PEO3: | Equip The Graduates With Strong Technical Knowledge, Competency In Soft Skills, Lifelong Learning Skills That Allow Them To Contribute Ethically To The Need Of Society. |
| POs No. | Program Specific Outcomes of AIDS Engineering |
|---|---|
| PO1 Engineering knowledge | Apply the knowledge of mathematics, science, Engineering fundamentals, and an Engineering specialization to 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 the 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 modeling 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 practices. |
| 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. |
| PO8 Ethics | Apply ethical principles and commit to professional ethics and responsibilities and norms of Engineering practice. |
| PO9 Individual and Team Work | Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| PO10 Communication Skills | 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. |
| PO11 Project Management and Finance | Demonstrate knowledge and understanding of 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. |
| 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. |
| PSO1: | Professional Skills-The ability to understand, analyse and develop computer programs in the areas related to algorithms, system software, multimedia, web design, networking, artificial intelligence and data science for efficient design of computer-based systems of varying complexities. |
| PSO2: | Problem-Solving Skills- The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success. |
| PSO3: | Successful Career and Entrepreneurship- The ability to employ modern computer languages, environments and platforms in creating innovative career paths to be an entrepreneur and to have a zest for higher studies. |
ME E&TC, PICT Pune
MESSAGE FROM HOD DESK
Welcome to the Department of Artificial Intelligence and Data Science at ISBM College of Engineering, Nande, Pune.
Artificial Intelligence and Data Science is an interdisciplinary branch of science, engineering and technology creating a complete ecosystem and a paradigm shift in virtually every sector of the technical industry, academics and research. Artificial Intelligence and Data Science is the future of technology which are changing the world at very high pace. The basic objectives of this course is to train students with the next age of Intelligence and analytics generated by machines, influencing nearly every facet of our lives to help improve efficiencies and augment human capabilities, influencing consumer products with significant breakthroughs in healthcare, manufacturing, finance and retail industries. With the tremendous amount of data generated every day and the computing power available, Data Science plays important role helping every business organisation in identifying business trends and changes through advanced Big Data Analytics with variety of techniques and tools to interpret and predict business results and future from multiple data sources through statistical analysis, data aggregation, and data mining.
The department of Artificial Intelligence & Data Science (AI & DS) is established in the academic year 2020-2021. This is a 4-year degree course approved by AICTE, New Delhi under Savitribai Phule Pune University (SPPU). The Department has experienced faculty members/staff and the state of art research laboratories. The curriculum of AI & DS is prescribed by SPPU. This curriculum targets technical and design skills, AI knowledge, and competencies needed to master strategic analytical methods and tools, and data management, with the objective of creating innovative strategies to solve challenging real-world problems.
The department has very good connect with industries. The objective of this course is to make students ready for industry with practical exposure in AI & DS.
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