Duke University, Department of Mathematics
Program in Applied Mathematics

Courses in Scientific Computing and Applied Mathematics

Topic Areas

• Scientific Computing
  • Undergraduate
    • MATH 104C: Linear Algebra with Scientific Computation
    • MATH 160: Mathematical Numerical Analysis
  • Graduate
    • MATH 221: Numerical Analysis
    • MATH 222: Numerical Methods for Partial Differential Equations
    • MATH 223: Numerical Linear Algebra
    • MATH 224: Scientific Computing I
    • MATH 225: Scientific Computing II
    • MATH 226: Numerical Methods for Partial Differential Eqns I
    • MATH 227: Numerical Methods for Partial Differential Eqns II
• Mathematical Modeling
  • Undergraduate
    • MATH 196S: Seminar in Mathematical Modeling
  • Graduate
    • MATH 229: Mathematical Modeling
• Differential Equations
  • Undergraduate
    • MATH 111: Applied Mathematical Analysis I
    • MATH 114: Applied Mathematical Analysis II
    • MATH 131: Elementary differential equations
    • MATH 132S: Nonlinear ordinary differential equations
    • MATH 133: Introduction to partial differential equations
  • Graduate
    • MATH 211: Mathematical Methods in Physics and Engineering I
    • MATH 212: Mathematical Methods in Physics and Engineering II
    • MATH 231: Ordinary differential Equations
    • MATH 232: Partial Differential Equations I
    • MATH 281: Partial Differential Equations II
    • MATH 282: Partial Differential Equations III
    • MATH 233: Asymptotics and Perturbation methods
    • MATH 228: Mathematical Fluid Dynamics
    • MATH 283: Topics in Partial differential equations
• Probability
  • Undergraduate
    • MATH 135: Probability
    • MATH 136: Statistics
  • Graduate
    • MATH 287: Probability
    • MATH 216: Applied Stochastic Processes
    • MATH 288: Topics in probability theory
• Analysis
  • Undergraduate
    • MATH 139: Advanced Calculus I
    • MATH 140: Advanced Calculus II
    • MATH 181: Complex analysis
  • Graduate
    • MATH 203: Basic Analysis I
    • MATH 204: Basic Analysis II
    • MATH 241: Real Analysis I
    • MATH 242: Real Analysis II
    • MATH 245: Complex Analysis
    • MATH 248: Topics in Analysis
    • MATH 249: Topics in Functional analysis
    • MATH 278: Topics in complex analysis

For more information on Current Graduate Courses

• Scientific Computing (MTH 224-225)
• Mathematical Modeling (MTH 229)
• Partial Differential Equations
• Analysis and Probability
• Hydrodynamics
• Asymptotic and Perturbation Methods
• Applied Stochastic Processes (MTH 216)

  You can read more about Professor Schaeffer's Mathematical Modeling course in the Notices of the American Mathematical Society (vol. 43, no. 5) and in the Duke Dialogue (May 31, 1996). and in SIAM Review