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This internship is an excellent platform for students and researchers to gain knowledge on applications of different computational tools in Water Resources Engineering. Theoretical knowledge is not solely sufficient to work in real-field problems. Therefore, this internship mainly focuses on hands-on training on computational flow modelling, Application of artificial intelligence in discharge assessment, remote sensing application, satellite image processing, realistic problems in water supply / distribution system and its solution, Hydrograph studies in flood routing, Rainfall-runoff simulation, Scouring depth prediction, which require an intense knowledge of relevant software and their working. Assessment will be done on a given project related to real-field application thereby enhancing the ability of the participants in carrying out its application in the future research. The proposed internship will be handled by experts from resource persons from universities of national repute and Industries.
OBJECTIVE
The objective of the program is to provide hands-on training experience on solution for field problems in the areas of Hydraulics and Hydrologic Engineering with the help of different software and computational tools.
Internship topics are not limited to:
Computational flow modeling
Application of artificial intelligence in discharge assessment
Remote sensing application and satellite image processing
Realistic problems in water supply / distribution system and its solution
Hydrograph studies in flood routing
Rainfall-runoff simulation
Scouring depth prediction
River Health Management
Groundwater problems and solutions
WHO CAN ATTEND
Students (UG & PG)
Research Scholars
Note: Participants can join in online mode except those residing in the twin cities (Hyderabad and Secunderabad).
Certification
Subject to full attendance and followed by individual project report submission and presentation.
TIME LINE OF THE INTERNSHIP PROGRAM
This program consists of a total of 90 contact hours out of which 18 hours constitute training sessions by the expert in their field of expertise, 27 hours of hands-on practice sessions of different software and computational tools, and the remaining 45 hours shall be spent by the intern on their desired problem related to the knowledge gained in training sessions.
Training sessions (18 hours): These sessions, conducted by experts in their respective fields, provide the interns with theoretical knowledge and insights relevant to the program's focus area. This component aims to equip interns with foundational understanding and expertise.
Hands-on practice sessions (27 hours): These sessions involve practical application of various software and computational tools. By engaging in hands-on practice, interns can enhance their technical skills and become familiar with the tools commonly used in their field of interest.
Intern project time (45 hours): This segment allows interns to work on a problem or project related to the knowledge gained during the training sessions. It provides an opportunity for interns to apply what they have learned, delve deeper into their chosen area, and potentially make meaningful contributions to their field.
By allocating a significant amount of time (45 hours) for the interns to work on their individual or group projects, the program encourages independent thinking, research, and problem-solving. This practical application of knowledge gained during the training and practice sessions can be invaluable for the interns' learning and skill development.
The assessment process will be done by considering both PPT and a detailed report on the desired or assigned project. By considering both presentations and reports, the assessment process provides a comprehensive evaluation of the interns' performance. It allows the committee members to assess interns' subject knowledge, communication skills, technical writing abilities, and research capabilities. This approach helps identify interns' strengths and areas for improvement, providing valuable feedback and facilitating their professional growth.
Overall, this breakdown ensures a comprehensive approach to the internship program, combining theoretical training, practical application, and independent project work, to provide interns with a well-rounded learning experience.
The program schedule for training sessions is as follows:
EVALUATION PROCESS
Total Marks: 100.
Average of Assignments: 20 marks
Project Work: 50 marks (will be assessed in two reviews)
Internship Final Evaluation: 30 marks
Overall, a minimum 50% mark is required to get the certificate.
ORGANISING COMMITTEE
Patron
Prof. P. Ravinder Reddy
Principal, CBIT (A)
Chairman
Dr. K. Jagannadha Rao
Professor & Head
Department of Civil Engineering, CBIT (A)
Convenors
Dr. Jnana Ranjan Khuntia
Assistant Professor
Department of Civil Engineering, CBIT (A)
Dr. Kamalini Devi
Assistant Professor
Department of Civil Engineering, CBIT (A)
Coordinators
Sri E. Maheshwar Reddy, Assistant Professor
Sri Ramanarayan Sankriti, Assistant Professor
Dr. Angshuman Das, Assistant Professor
Dr. B. V. S. Rao, Coordinator, AICTE IDEA Lab CBIT
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