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MUHAMMAD HAMID

Supervisor of Master's Candidates


Main Positions:Professor
Gender:Male
Alma Mater:School of Mathematical Sciences
Status:在岗
School/Department:Peking University
Administrative Position:722 Oufang Building
Discipline:Computational Mathematics
Business Address:722 Oufang Building
Contact Information:mhamid@nuist.edu.cn mhamid@pku.edu.cn mhamid@fudan.edu.cn

Honors and Titles:

2024-01-12   Jiangsu Province Entrepreneurship and Entrepreneurship SC Doctor Award, China

2023-10-27   Top 2% of Scientists at Stanford University in the World 2022

2023-09-11   Nanjing University of Information Science & Technology Graduate Tutor Training Certificate

2022-10-24   Top 2% of scientists at Stanford University in the world 2021

2022-06-06   Selected into the Jiangsu Longshan Scholars (High-level Talents) Program

2022-06-04   International Exchange Fellowship Program (YJ20200062), Postdoctoral Fellow at Fudan University, Shanghai, China (2020-2022)

2022-02-09   Fudan University Outstanding Postdoctoral Award (Nominated)

2021-10-22   Top 2% of scientists at Stanford University in the world

2021-09-24   Participation in the Heidelberg Laureate Forum (8th HLF-2021) [selected from over 900 applicants]

2020-09-25   Participation in the Heidelberg Laureate Forum (8th vHLF-2020) [selected from over 900 applicants]

2020-06-15   Excellent Graduate Student Award by Peking University

2020-03-11   Chinese Government Outstanding International Student Award

2019-12-24   PKU International Student Academic Award

2019-12-09   Scientific Research Award by Peking University

2019-12-06   School of Mathematical Sciences Peking University Jiukun Scholarship Award

2019-11-23   Outstanding Research Achievements Honour by Embassy of Pakistan in Beijing

2016-07-08   Chinese Government Scholarship

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Current Position: Home >> Teaching Research >> Teaching Information

Engineerin Calculations

Hits: Praise

Course Introduction:This course mainly introduces the basic methods of applying computer to solve or simulate all kinds of mathematical problems. It helps students to master the most basic numerical algorithm, construct the main ideas. Methods and tools of numerical algorithm, and pay attention to the problems in the application of numerical algorithm: computational efficiency, convergence, numerical stability, error estimation and application scope of the algorithm.

Discipline:0701

Teacher:Prof. Muhammad Hamid

School Year:2023-2024

Semester:Spring Term

Course Number:123

Credits:3.0

Course Type:Undergraduate Course:

Top-Quality Courses or Not:yes

Required Class Hours:48.0

Courses and Reference Books:    Reference Book
     R. Burden, J. Faires., Numerical analysis, Ninth Edition.
     Handouts, by Dr. Muhammad Hamid.
    Text Books
o    D. G. Smith, Numerical Solutions of Partial Differential Equations, Oxford 8, University Press.
o    K. E., Atkinson, An introduction to numerical analysis, John Wiley & Sons, 2008.
o    D. G. Zill, A First Course in Differential Equations with Modeling Applications 11th Edition