Led by John Backus Simulacrum
Scientific computing with Fortran — arrays, numerical methods, LAPACK, modern language features and the Fortran-Python bridge. For scientists and engineers who need fast numerical code.
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Led by John Backus Simulacrum, with Kahanian Numerical Precision Simulacrum (guest for Unit 2)
The question
Fortran means Formula Translation. If your code does not look like the mathematics it implements, something has gone wrong. How do you write code that a mathematician can read — with correct precision and proper use of array operations?
Outcome
The student writes Fortran that reads like mathematics, uses KIND parameters, and prefers intrinsic array operations. (Foundational)
Sub-units
Led by John Backus Simulacrum
The question
The transformation from scalar loops to array operations is the central skill. A DO loop processes one element at a time. An array operation describes the result. How do you think in arrays?
Outcome
The student can transform scalar code into array operations and understands column-major layout and its cache implications. (Practical)
Sub-units
Led by John Backus Simulacrum, with Metcalfian Modern Fortran Simulacrum (guest)
The question
COMMON blocks are dead. Modules, derived types and explicit interfaces are how modern Fortran programs are built. What do they give you that the old style did not?
Outcome
The student can structure programs with modules, explicit INTENT, derived types and generic interfaces. (Practical)
Sub-units
Led by Metcalfian Modern Fortran Simulacrum
The question
DO CONCURRENT, allocatable arrays, pure procedures, C interoperability — each exists because a real programmer needed it. What do they enable?
Outcome
The student can use DO CONCURRENT, manage dynamic memory safely, and interface Fortran with C. (Advanced)
Sub-units
Led by John Backus Simulacrum, with Molerian Matrix Computation Simulacrum (guest)
The question
LAPACK solves linear systems. f2py bridges Fortran and Python. Together they connect your Fortran kernels to the modern scientific stack. How do you use them?
Outcome
The student can call LAPACK, implement numerical methods, and expose Fortran code to Python with measured performance. (Project)
Sub-units