Tan Hong Kiat
Education
Degree Programs:
- University of California, Los Angeles (UCLA)
- 3rd-year Ph.D. student for Ph.D. in Applied Mathematics.
- M.A. in Mathematics (Awarded in June 2022).
- Qualifying exams passed:
- Basic.
- Applied Differential Equations. and
- Numerical Analysis.
- National University of Singapore:
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Bachelor of Science with Honours (Highest Distinction) in Applied Mathematics;
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Awards:
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Dean's List
- Awarded to top 5% of the total undergraduate Science students for Academic Year 2018/19, 2019/20, 2020/21 Semesters 1 and 2. -
Ho Family Prize
- Awarded to the best overall student in Applied Mathematics who has passed the examination for Degree of Bachelor of Science (Honours) for Academic Year 2020/21. -
Tan Siak Kew Gold Medal
- Awarded to the best student in Science III for Academic Year 2019/2020 -
Tan Teck Chwee Prize
- Awarded to the best student in Applied Mathematics III for Academic Year 2019/20. -
Sembcorp Marine Prize
- Awarded to two of the best students in Physics III for Academic Year 2018/19. -
Arthur Rajaratnam Prize
- Awarded to the best student in PC2193 Experimental Physics I for Academic Year 2018/19. -
Jurong Shipyard Prize
- Awarded to two of the best students in Physics I for Academic Year 2017/18.
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University of North Carolina - Chapel Hill:
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Undergraduate Summer Exchange Student (Summer 2019)
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NUS Overseas Summer Undergraduate Research Oppourtunity in Science
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Relevant Graduate Coursework at UCLA:
- Mathematics:
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Differential Equations
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Applied Differential Equations: Math 266A, 266B, 266C
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Partial Differential Equations: Math 251A, 251B x 2, 251C (Topic Classes)
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Applied and Computational Mathematics
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Numerical Analysis: Math 269C
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Optimization and Calculus of Variation: Math 273A, 273B
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Scientific Computation and Numerical Linear Algebra: Math 270A
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Statistics: Stats 200B, 200C
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Analysis
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Real Analysis: Math 245A, 245C
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Complex Analysis: Math 246A
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Harmonic Analysis: Math 247A
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Functional Analysis: Math 255A, 255B
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Course Descriptions: See https://ww3.math.ucla.edu/courses-2/
Relevant Undergraduate/Graduate Coursework at NUS:
- Mathematics/Statistics (Undergraduate):
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Mathematical Analysis, Complex Analysis, and Functional Analysis.
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Ordinary Differential Equations, and Partial Differential Equations (PDEs).
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Probability, Mathematical Statistics, Regression Analysis, Stochastic Processes, and Mathematical Methods in Machine Learning.
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Statistical Simulation, Numerical Analysis, and Numerical Methods in Differential Equations.
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Physics/Engineering (Undergraduate):
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Mathematical (Methods in) Physics I, II, and III, Classical Mechanics, and Fluid Dynamics.
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Statistical Mechanics & Thermal Physics I and II, Quantum Mechanics I, II and III.
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Mathematics/Physics (Graduate):
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Partial Differential Equations and Topic Classes,
(Conservation Laws, Boltzmann Equation, and Green's Functions) -
Applied PDEs and Asymptotic Analysis,
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Riemannian Geometry,
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Stochastic Analysis in Mathematical Finance,
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Advanced Fluid Dynamics (from Mechanical Engineering Department), and
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Graduate Statistical Mechanics (Audit; from Physics Department).
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Module Descriptions: See https://nusmods.com/
Programming Languages:
- Python
- R
- Mathematica
- MATLAB
- LaTeX
- Julia
© 2022 by HK Tan