Overview
The Department of Mathematics & Data Science, SSES, Sharda University, Greater Noida, is organizing a 5-day Professional Development Training, MAPLE 2025: Math Made Easy, from 2 June to 6 June 2025.
MAPLE (Mathematical Analysis and Programming Language Environment) is a powerful computer algebra system used for symbolic and numerical computation. It is widely employed in mathematics, engineering, and scientific research for solving complex equations, performing data analysis, and visualizing results. MAPLE's importance lies in its ability to handle intricate mathematical problems efficiently, making it a valuable tool in education and industry for modeling, simulation, and technical computing. Its user-friendly interface and extensive mathematical library support teaching and advanced research.
Day 1 – Research Session 1: Intro to Maple
Session 2: Visualization
Day 2 – Research Session 1: Calculus
Session 2: Linear and Vector Algebra
Day 3 – Research Session 1: ODEs and PDEs
Session 2: Optimization
Day 4 – Research Session 1: Statistics
Session 2: Documentation
Day 5 – Teaching Session 1: Math Apps
Session 2: Möbius
Registration Link: https://forms.gle/WqYYfXkDwG3Vmb6Q9
Registration fee
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Participants
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Registration Fee
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Faculty/Research Scholars for Sharda University
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₹ 590/- (inclusive 18% GST)
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Faculty/Research Scholars for Other Universities
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₹ 944/- (inclusive 18% GST)
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Bank Details:
ØOnline Banking/NEFT
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Bank Name
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ICICI Bank Ltd.
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Branch Address
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Krishna Apra Royal Plaza, D-2, E(acb), Alpha-1, Greater Noida, Gautam Budh Nagar, UP- 201306
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Account Holder Name
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Sharda University-Seminar
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Account No.
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025405005815 (CURRENT AC)
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IFSC Code
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ICIC0000254
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ØScan to Pay through PayTM
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Objectives of Event
Ø Strengthen research skills in advanced math topics using MAPLE.
Ø Provide hands-on experience with tools like Math Apps and Möbius.
Ø Enhance data analysis through visualization and statistics.
Ø Support academic growth with documentation training and certification.
Ø Integrate technology in teaching to make math more interactive and accessible.
Convener Details
- Prof. Khursheed Alam (HOD Mathematics & Data Science)
Co-ordinators:
Organizing Secretaries:
- Dr. Sangeeta Gupta (Associate Professor)
- Dr. Sweta Srivastav (Associate Professor)
- Dr. Santosh Kumar (Assistant Professor)
Coordinators: All faculty members of the Department of Mathematics
Contact Point:
