Pemrograman Komputer Aplikatif

Tahun Akademik:
Genap 2023/2024
Kelas-Offr:
C-C
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
  • 1. Mastering programming for basic and advanced physics topics (with application programs such Mathematica or Maple); optimization of Excel, Powerpoint, MS word programs
  • 2. Creating a program to master the related physics concepts in accordance with science and technology developments as well as a provision for planning, implementing and assessing school physics learning activities
Daftar Pustaka:
  • 1. Brice Carnahan, H.A. Luther, James O. Wilkes. Applied Numerical Methods. Wiley. New York 2. Tao Pang. An Introduction to Computational Physics. Second Edition 3. Rinaldi Munir. 2006. Metode Numerik Edisi Revisi. Penerbit Informatika Bandung. 4. Nicholas J.Giordano. 1997. Computational Physics. Prentice Hall. New Jersey