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Program Structure of RIFP – ME

The unique program structure offers a variety of roles and exposure to enrolled students. The student will be provided with firsthand experience in classroom teaching as Teaching Assistants / research projects as Research Assistants and would be taught courses by variety of Learning designs. Courses are offered in any of the modes described above. Learning Management System – Google Classroom is used extensively to keep track of the course work. Research Track Courses and Research projects are offered to give the students the required depth in their chosen area of interest.

Academic Year I

August Work as Teaching Assistant with School of Engineering OR
Work as Research assistant with CURIN
September
October
November
December Study 3 Theory Courses And Practice Lab work
January
February Work as Teaching Assistant with School of Engineering OR
Work as Research assistant with CURIN
March
April
May
June Study 3 Theory Courses And Practice Lab work
July

Academic Year II

August Work as Teaching Assistant with School of Engineering OR
Work as Research assistant with CURIN
September
October
November
December Study 3 Theory Courses And Practice Lab work
January
February Work as Teaching Assistant with School of Engineering OR
Work as
Research assistant with CURIN
March
April
May
June Study 3 Theory Courses And Practice Lab work
July

Academic Year III

August Work as Teaching Assistant with School of Engineering OR
Work as Research assistant with CURIN
Work on Pre-Thesis
September
October
November
December Work on Thesis
January
February Work as Teaching Assistant with School of Engineering OR
Work as Research assistant with CURIN
Work on Thesis
March
April
May
June Study 3 Theory Courses And Practice Lab work
July
Courses offered:
Electronics & Communication Engineering Computer Science
& Engineering
Construction Technology
& Management
Mechanical
Engineering
Mixed signal circuit design Algorithm and Complexity Construction and Contract Management Advance Engineering Mathematics
Digital image Processing Advanced Computer Architecture Project Management Systems and Techniques Advance Thermal Engineering
Mixed signal circuit design Lab Mobile Computing Management of Quality and Safety in construction product Design and Development
CAD for Digital VLSI Design Algorithm and Complexity Lab Construction Costing and Financial Management Finite Element Method (FEM)
Digital Image Processing Lab Advanced Databases Computation Laboratory for Construction Management Advance Heat and Mass Transfer
Fundamental Programming Software Testing and Quality Management Construction and Environment Advance Power Plant Engineering
Logic Synthesis AI and Expert Systems Quantitative Methods in Construction Management Advance Fluid Mechanics
Advanced Wireless Networks Software Testing- Lab Advanced Construction Technology Modelling and Simulation
Smart Antennas Advanced Operating System Site Organization and Management Work Engineering and Ergonomics
WDM Optical Networks Advanced Computer Principles and Practices in Management Computational Fluid Dynamics (CFD)
Advanced Digital Communication Advanced Computer Networks Lab Construction Engineering Practices Design of Gas Turnbines
Pattern Recognition and Analysis Cloud Computing Software use in Construction Management Research Methodology
Mobile Computing Data warehousing & Mining Pre Thesis Work Thesis (On site training for 6 months) Renewable Energy System
Research projects are based on (but not limited to):
Electronics & Communication Engineering Computer Science
& Engineering
Construction Technology
& Management
Mechanical
Engineering
Computer Vision Design Virtual Private Network & Implementation Precautionary Construction Management for Sustainability Mechanical Engineering and Manufacturing
Embedded Systems Design Speech Signal Processing Applicability of Green Engineering Solution Machine Design and CAD/CAM
RF Design Digital Image Processing Green Technology application in construction Rotodynamic Machines and Non traditional Machining
Adaptive Signal Processing Biomedical Signal Processing Data Mining & Warehousing Green Tech Knowledge of Construction Workforce and Empowerment of knowledge in Construction Project Mechanical Vibrations and Design
Mixed Signal Designs Advanced Software Engineering Concepts Theory of Constraints in Construction Projects Production and Surface Engineering
Nano Technology: System & Materials Advanced Databases & Knowledge Management Systems Contradiction analysis of Construction Innovation Automation and Robotics
VLSI DESIGN Data Mining & Warehousing Thermal Engineering
Fuzzy Systems Design Big Data and business Intelligence Industrial Engineering
Dissertation

After completion of coursework, the candidates are required to submit a dissertation based on the research project they have worked. The candidate has to defend his/ her research findings before expert committee and to appear for final viva. On successful defense of research findings and acceptance of dissertation, the candidate will be conferred with Masters Degree in the concerned engineering discipline.

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