ABOUT THE DEPARTMENT
B.Tech. in Artificial Intelligence & Data Science has established in the year 2021 with intake of 60. AI & DS is programme with advanced learning solutions imparting knowledge of advanced innovations such as machine learning, deep learning, artificial intelligence, etc. This specialization is designed to enable students to build intelligent systems, software, or applications with a cutting-edge combination of artificial intelligence, machine learning, analytics and visualization technologies.
The main goal of Artificial Intelligence & Data Science is to provide the intelligence through complex program to solve a given problem. In real world, many successful applications are based on machine learning, including systems that analyze past sales data to predict customer behavior, financial management, face recognition, speech recognition, image processing, optimize robot behavior, recommender systems in e-commerce, etc. so that a task can be completed using minimum resources.Â
Â
Ample career opportunities exist in public and private sectors such as health care industry, manufacturing, e-commerce, social networks, etc., to name few. The jobs in AI include 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 so on.
Graduate Courses (B.Tech)
| COURSES OFFERED | INTAKE |
|---|---|
| Computer Science and Engineering (Artificial Intelligence and Data Science) | 60 |
To accomplish an admirable standard of quality education by utilizing the latest technologies, innovations to be applicable for academia and industry which helps society in large.
- To evolve professional who is proficient in the area of AI-ML
- To impart principle-based education and contribute to the innovation of computing and learning-based systems.
- Our Endeavour is to try new advancements in high-end computing hardware and software for society.
PROGRAM EDUCATIONAL OBJECTIVES (PEOS)
PEO-1: Pursue a thriving professional career in IT-enabled industries.
PEO 2:Â Pursue enduring learning in generating inventive engineering solutions using research and composite problem-solving abilities.
PEO 3:Â Demonstrate professionalism, principles, inter-personal skills and incessant learning to develop management qualities.
PROGRAM OUTCOMES (POS)
Engineering Graduates will be able to satisfy these NBA graduate attributes:
- Engineering knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 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.
- 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.
- 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.
- Â
PROGRAM SPECIFIC OUTCOMES(PSO’S)
- Professional Skills and Foundations of Software development:Ability to analyze, design and develop applications by adopting the dynamic nature of Software developments
- Applications of in the fields of Artificial Intelligence and Machine learning: Ability to use knowledge in artificial intelligence and machine learning to solve real world problems and identify the research gaps and render solutions with innovative ideas.
solutions with innovative ideas
Dr. M. Kumara Swamy
Dr. M. Kumara Swamy has completed his PhD from International Institute of Information Technology, Hyderabad popularly known as IIIT-H. He has also completed his MS by Research from the same institution (IIIT-H). He has published around 25 peer reviewed research papers indexed by DLP/SCI/Scopus journals/conferences. His contributions are published in A+/A graded conferences/Journals such as PAKDD, DEXA, JDSA, etc. He is a reviewer of an International Journal of Data Sciences and Analytics (JDSA) Springer Nature Publisher. His core area of research includes Artificial Intelligence, Data Sciences, Data Mining, Machine Learning, Information Retrieval and Extraction, Natural Language Processing (NLP), and ICTs for Rural Development. He has visited Malaysia and Taiwan for presenting the research papers in international conferences such as APSEC and PAKDD. He has 22 years of teaching, industrial, and research experience. He worked in 10 different projects costing around 8.0 Crs related to agro-advisory system known as eSagu funded by DST, BDL, BEL, HAL and others. He has also worked in eAgromet, weather based agro-advisory system funded by IMD. He is currently rendering consultancy services to Indo-Japan project in standardization of Cropdarpan system. He is a general chair for the ICCCE2020 conference. He has been an organizing committee member of PAKDD-2021, BDA-2017, AIPA-2012 and PAKDD-2010. Currently, he is working in CMR Engineering College, Hyderabad as a Professor and HOD in the Department of Computer Science and Engineering (Artificial Intelligence-Machine learning) for last two years. His teaching interests are Database Management Systems, Data Mining, Information Retrieval and Extraction, Data Science, Python programming, etc.
Department Overview
Department Information
