Courses Taught

• MTH 133, Calculus II
• MTH 235, Differential equations
• MTH 451, Numerical analysis I
• MTH 452, Numerical analysis II
• MTH 496, UBM sequence I
• MTH496, Machine learning
• MTH 950, Numerical methods for partial differential equations
• MTH 994, Wavelets and applications (Topics in Applied Mathematics)
• MTH 994, Biological Modeling and Computation I
• MTH 994, Biological Modeling and Computation II
• MTH 994, Mathematical modeling of nano-bio systems I
• MTH 994, Mathematical modeling of nano-bio systems II
• MTH994-1, Mathematical modeling of human sensory systems I: Fundamentals of human sensory systems
• MTH994-2, Mathematical modeling of human sensory systems II: Mathematical models of human sensory systems
• MTH994-001, Machine learning for biological and biomedical data I: Basic algorithms
• MTH994-001, Machine learning for biological and biomedical data II: Applications
• MTH994-001, Machine learning I (Basic algorithms)
• MTH994-001, Machine learning II (Deep learning)
• MTH 995, Computational biology I (Topics in Applied Mathematics)
• MTH 995, Computational biology II (Topics in Applied Mathematics)
• CZ 3242, Computational techniques for quantum systems
• CZ 3247, Computational fluid dynamics
• CZ 4104, Numerical solution of PDEs
• CZ 5201, Advanced computational methods
• CZ 5211, High order methods (Topics in Comp. Science)
• CZ 5214, Wavelets and applications (Topics in Comp. Science)

Syllabus Archived at: https://github.com/guowei-uga/courses_taught.