Artificial Intelligence and Data Science
Department Location:
3rd Floor
UG Programme:
Artificial Intelligence & Data Science
HOD:
Mrs. Madhavi Panchakshari
Year Established:
2011-12
UG Intake:
60
PG Intake:
00
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We offer a range of courses and specializations in areas such as artificial intelligence, data science, cybersecurity, and more.We are committed to helping you achieve your academic and professional goals. As we continue to evolve and grow as a department, we are committed to staying at the forefront of technological advancements. Our research focuses on cutting-edge areas such as:
- Artificial intelligence and machine learning
- Internet of Things (IoT) and smart systems
- High-performance computing and data analytics
We are dedicated to fostering collaborations with industry partners, government agencies, and other academic institutions to advance the field of computer engineering.
Supporting entrepreneurship and innovation among our students and faculty
- Developing new programs and courses to address emerging technologies
- Enhancing our industry partnerships and collaborations
We are excited about the future of Artificial intelligence and Data Science Look forward to achieve our goals.
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Prof. Dr. Sanjeevani Kulkarni
Principal, Assistant Professor
Read MoreProf. Panchakshari Madhavi
HOD, Assistant Professor
Read MoreProf. Shilpa Irlapalle
Assistant Professor, ERP Co-ordinator, Dept. extra curicular co-ordinator
Read MoreProf. Sunilkumar Khandelwal
Assistant Professor, TPO
Read MoreProf. Kanchan Chame
Assistant Professor, Dept. Exam Co-ordinator
Read MoreProf. Mukta Gaikwad
Lecturer
Read More -
PEO1 To provide knowledge of sound mathematical principles underlying various programming concepts. PEO2 To develop an ability to understand complex issues in the analysis, design, implementation and operation of information systems. PEO3 To provide knowledge of mechanisms for building large-scale computer-based systems PEO4 To develop an ability to provide computer-based solutions to the problems from other disciplines of science and engineering PEO5 To impart skills necessary for adapting rapid changes taking place in the field of information and communication technologies. PEO6 To provide knowledge of ethical issues arising due to deployment of information and communication technologies in the society on large scale. -
PO1 The graduates will possess the knowledge of various discrete mathematical structures, Logic and numerical techniques. PO2 The graduates will have an ability to apply mathematical formalism of Finite Automata and Probability in modeling and analysis of systems. PO3 The graduates will have knowledge of core programming paradigms such as database orientation, object orientation, and agent orientation and concepts essential to implement software based system. PO4 The graduates will have an ability to analyze problem, specify algorithmic solutions to them and to evaluate alternative solutions. PO5 The graduate will have broad understanding of the impact of a computer based solutions in economic, environmental and social context and will demonstrate use of analytical tools in gathering requirements and distilling relevant information to provide computer based solutions. PO6 The graduates will demonstrate the ability to build human centric interfaces to computers PO7 The graduates will posses the knowledge of advanced and emerging topics in the fields of operating systems, databases and computer networks. PO8 The graduates will posses skills necessary to communicate design engineering ideas. The skills set include verbal, written and listening skills. PO9 The graduates will understand ethical issues in providing computer based solutions also they will have an ability and attitude to address the ethical issues. PO10 The graduates will understand the role of system software such as operating systems, database management systems, compilers, middle-ware and internet protocols in realizing distributed information environment
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We offer a range of courses and specializations in areas such as artificial intelligence, data science, cybersecurity, and more.We are committed to helping you achieve your academic and professional goals. As we continue to evolve and grow as a department, we are committed to staying at the forefront of technological advancements. Our research focuses on cutting-edge areas such as:
- Artificial intelligence and machine learning
- Internet of Things (IoT) and smart systems
- High-performance computing and data analytics
We are dedicated to fostering collaborations with industry partners, government agencies, and other academic institutions to advance the field of computer engineering.
Supporting entrepreneurship and innovation among our students and faculty
- Developing new programs and courses to address emerging technologies
- Enhancing our industry partnerships and collaborations
We are excited about the future of Artificial intelligence and Data Science Look forward to achieve our goals.
-
Prof. Dr. Sanjeevani Kulkarni
Principal, Assistant Professor
Read MoreProf. Panchakshari Madhavi
HOD, Assistant Professor
Read MoreProf. Shilpa Irlapalle
Assistant Professor, ERP Co-ordinator, Dept. extra curicular co-ordinator
Read MoreProf. Sunilkumar Khandelwal
Assistant Professor, TPO
Read MoreProf. Kanchan Chame
Assistant Professor, Dept. Exam Co-ordinator
Read MoreProf. Mukta Gaikwad
Lecturer
Read More -
PEO1 To provide knowledge of sound mathematical principles underlying various programming concepts. PEO2 To develop an ability to understand complex issues in the analysis, design, implementation and operation of information systems. PEO3 To provide knowledge of mechanisms for building large-scale computer-based systems PEO4 To develop an ability to provide computer-based solutions to the problems from other disciplines of science and engineering PEO5 To impart skills necessary for adapting rapid changes taking place in the field of information and communication technologies. PEO6 To provide knowledge of ethical issues arising due to deployment of information and communication technologies in the society on large scale. -
PO1 The graduates will possess the knowledge of various discrete mathematical structures, Logic and numerical techniques. PO2 The graduates will have an ability to apply mathematical formalism of Finite Automata and Probability in modeling and analysis of systems. PO3 The graduates will have knowledge of core programming paradigms such as database orientation, object orientation, and agent orientation and concepts essential to implement software based system. PO4 The graduates will have an ability to analyze problem, specify algorithmic solutions to them and to evaluate alternative solutions. PO5 The graduate will have broad understanding of the impact of a computer based solutions in economic, environmental and social context and will demonstrate use of analytical tools in gathering requirements and distilling relevant information to provide computer based solutions. PO6 The graduates will demonstrate the ability to build human centric interfaces to computers PO7 The graduates will posses the knowledge of advanced and emerging topics in the fields of operating systems, databases and computer networks. PO8 The graduates will posses skills necessary to communicate design engineering ideas. The skills set include verbal, written and listening skills. PO9 The graduates will understand ethical issues in providing computer based solutions also they will have an ability and attitude to address the ethical issues. PO10 The graduates will understand the role of system software such as operating systems, database management systems, compilers, middle-ware and internet protocols in realizing distributed information environment
