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  1. Programming for Mathematics

    https://www.math.cuhk.edu.hk/course/math2911
    Course Description:  This course is intended to introduce basic concepts of computer programming for ... algorithm, computer programming with C++. Advisory: This course is designed for majors in MATH, MIEG, or BMED; not for those who had ...
  2. Financial Mathematics

    https://www.math.cuhk.edu.hk/course/math4210
    Course Description:  Topics of this course will include: Basic option theory, forward and futures contracts, ... walk model and the binomial methods. Students taking this course are expected to have knowledge in probability and differential ...
  3. Real Analysis I

    https://www.math.cuhk.edu.hk/course/math5011
    Course Description:  This course provides a solid foundation in the Lebesgue integration theory and ... Lp-spaces and differentiation. Students taking this course are expected to have knowledge in advanced calculus and elementary ...
  4. Big Data Computing

    https://www.math.cuhk.edu.hk/course/math3330
    Course Description:  This course provides students with practical experience in using mathematical ... and software implementation. Students taking this course are expected to have knowledge in mathematical foundation of data ...
  5. Optimization and Modeling

    https://www.math.cuhk.edu.hk/course/mmat5240
    Course Description:  This course is designed for the M.Sc. Degree Programme in Mathematics. The course provides an introduction to optimization methods, optimization theory ...
  6. Complex Variables and Applications

    https://www.math.cuhk.edu.hk/course/math3253
    Course Description:  This course is intended to provide computational techniques and a concise theory ... functions and their applications. Students taking this course are expected to have knowledge in advanced calculus. ...
  7. Probability and Stochastic Analysis

    https://www.math.cuhk.edu.hk/course/mmat5340
    Course Description:  This course is designed for the M.Sc. Programme in Mathematics. This course focusses on the rigorous foundation in probability and Markov chains ...