Praktikum Pemrograman Komputer Aplikatif

Tahun Akademik:
Genap 2022/2023
Kelas-Offr:
D-D
Deskripsi:
Introduction: 1. Error analysis due to rounding and cutting in data storage and processing. Numbers: 1. Character recognition of decimal, binary and floating-point numbers. Interpolation: 1. Newton's Divided Differentiation, 2. Lagrange. Integration: 1. Equally Spaced Based, 2. Newton Cotes, 3. Repeated Halving interval, 4. Romberg Integration, 5. Unequally Spaced Base, 6. Gaussian Quadrature. Differentiation: 1. Numerical Differentiation. Root Finding: 1. Newton, 2. Regula Falsi. Matrix: 1. Notation, 2. Vector, 3. Linear Transformation, 4. Symmetry and Hermitian, 5. Jacobi Method. Linear Equation System: 1. Elementary Matrix Transformation, 2. Gauss Elimination, 3. Gauss-Jordan, 4. Gauss-Seidel. Differential Equation Solutions: 1. Taylor Approach, 2. Euler Method, 3. Runge-Kutta Method, 4. Common Simultaneous Differential Equations
Capaian Pembelajaran
  • Menguasai pemrograman (dengan program aplikasi seperti Mathematica atau Maple) untuk topik-topik fisika dasar dan lanjut; optimalisasi program Excel, Powerpoint, MS word
  • Membuat program untuk menguasai konsep fisika terkait secara tepat, sistematis, kreatif, mandiri, bertanggung jawab dan sesuai dengan perkembangan ipteks serta menjadi bekal untuk merencanakan, melaksanakan dan menilai kegiatan pembelajaran fisika sekolah.
Daftar Pustaka:
  • Brice Carnahan, H.A. Luther, James O. Wilkes. Applied Numerical Methods. Wiley. New York
  • Tao Pang. An Introduction to Computational Physics. Second Edition
  • Rinaldi Munir. 2006. Metode Numerik Edisi Revisi. Penerbit Informatika Bandung.
  • Nicholas J.Giordano. 1997. Computational Physics. Prentice Hall. New Jersey.