Department of Information Technology


This is a list of courses I have taken

  • Numerical acoustics
  • Mathematical and numerical techniques in partial differential equations
  • Nonlinear multiobjective optimization
  • Parallel algorithms for scientific computing
  • Research introduction course for new PhD students
  • Multiscale methods
  • Numerical linear algebra
  • Perturbation theory and asymptotic expansions
  • Numerical functional analysis
  • Ethics of technology and science
  • Mathematical models and numerical methods for fluid mechanics
  • Classical articles in numerical analysis
  • Numerical methods for non-linear hyperbolic partial differential equations
  • Uncertainty quantification for partial differential equations

I have also attended



  1. High-order numerical methods for 2D parabolic problems in single and composite domains. Gustav Ludvigsson, Kyle R. Steffen, Simon Sticko, Siyang Wang, Qing Xia, Yekaterina Epshteyn, and Gunilla Kreiss. In Journal of Scientific Computing, 2018. (DOI, Fulltext). Publication status: Epub ahead of print
  2. An explicit Hermite–Taylor method for the Schrödinger equation. Daniel Appelö, Gunilla Kreiss, and Siyang Wang. In Communications in Computational Physics, volume 21, pp 1207-1230, 2017. (DOI).
  3. Convergence of summation-by-parts finite difference methods for the wave equation. Siyang Wang and Gunilla Kreiss. In Journal of Scientific Computing, volume 71, pp 219-245, 2017. (DOI, Fulltext).
  4. High order finite difference methods for the wave equation with non-conforming grid interfaces. Siyang Wang, Kristoffer Virta, and Gunilla Kreiss. In Journal of Scientific Computing, volume 68, pp 1002-1028, 2016. (DOI).
  5. Stochastic reaction–diffusion processes with embedded lower-dimensional structures. Siyang Wang, Johan Elf, Stefan Hellander, and Per Lötstedt. In Bulletin of Mathematical Biology, volume 76, pp 819-853, 2014. (DOI).

Updated  2016-08-15 15:18:51 by Siyang Wang.