Dr G Arul Dalton B.E., M.E., Ph.D
Professor / HOD
Data Science is one of the specialization courses among engineering aspirants which mainly focus on programming languages, Database and Data Warehouse software engineering, problem solving skills, computation and analysis of algorithm. The program has very basic in Computer science, Artificial intelligence, mathematics and natural processing languages. Data Science is inherently a interdisciplinary subject. It including database, data warehouse and data mining, prediction discrimination supervised, unsupervised, semi supervised and active learning. It provides an efficient to education, banking, aircraft technology, transportation, hospital management and businesses supply chain management. Data Science helps students to fits in to a wide range of domains in the world. This program enables the students to acquire multidimensional approach of computing knowledge and understanding the problems to solve deep imagination and sensitivity to a variety of concern. Data Science to produce developing algorithms to support advanced and data mining in order to present a unified treatment of machine learning problem and solutions.
International relevance and excellence in Data Science research, education and innovation for Indian universities and research institutions towards serving the greater cause of society.
- To develop professionals who are skilled in the area of Data Science.
- To Become a national access point for Data Science competence and infrastructure.
- Developing problem solving and analytical skills with sound knowledge in basic Research and Development activities.
- To apply new optimize advanced methods in high performance computing hardware and software.
PROGRAM SPECIFIC OBJECTIVES (PSOs)
PSO1: Exhibit engineering practice learned through industry internship to solve live problems in various domains software applications for problem solving.
PSO2: Making to Mathematical and computing knowledge to identify and provide solutions for solving computing problems.
PSO3: Pertain skills in the areas of Education, Environment, Telecommunication, Health care, Intelligent Transport, Agriculture, smart systems in multi disciplinary areas of Artificial Intelligence and Machine Learning.
|PROGRAM OUTCOMES (POs)|
|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 practice.
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 the 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: 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 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.
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.
PROGRAM EDUCATIONAL OBJECTIVES (PEOS):
1. PEO 1:To make students to excel in Data Science with the technical skills and competency to carry out research and address basic needs of the society.
2. PEO 2: Graduates of the program will have a globally competent professional career in Data Science domain.
3. PEO 3: Graduates of the program will have entrepreneur skills with a lifelong learning attitude in order to support the growth of economy of a country.
THE SALIENT FEATURES :
Data Analysis with Statistics and Machine Learning
Data Communication with Information Visualization
Data at Scale — Working with Big Data
More focus on Digital Technologies in Computer Science
Bachelor’s Degree Program
|B.Tech – CSE -Data Science||Regular||4 years||60|
|Staff Name||Qualification||Designation||Professional Exp.||Research Interests||Photo|
|1||Dr G Arul Dalton||Ph.D||Professor||16 years||Wireless Cellular Network, Software Engineering|
|2||Jarripothula Sharada||M.Tech||Assistant Professor||3 years||Computer Networks|
|3||Sivaprasad Rayapudi||M.Tech||Assistant Professor||3years||Data Mining|
|4||Netticoppula Kumar Kiran||M.Tech||Assistant Professor||2 years||Network Security|