Lecture Notes (Catatan Kuliah)

Dear Students,
I made this page as documentation of some notes I used in the class. Many of them are handwritten, in Indonesian, English, and sometimes in Japanese. Yet, It is still far from complete, and did not mean to substitute the text book. Many of my notes are just  a supplementary information on a particular topic which was discussed in the class. Thus, you should refer to the text book or other references to get a complete knowledge. Please let me know, if you find any mistakes.

  1. Pattern Recognition & Data Mining
  2. Linear Algebra
    • Inverse Matrix using Gauss-Jordan Elimination
    • Eigen Value & Eigven Vector
  3. Statistics & Probability
  4. Artificial Intelligence
  5. Digital Image Processing
    • Image sharpening using Laplacian filter p1
  6. Numerical Methods
    • Bracketing Methods : Bisection Method
    • Bracketing Methods : False-Position Method
    • Open Methods : Simple Fixed-Point Iteration
    • Open Methods : Newton-Raphson Method
    • Open Methods : Secant Method
    • Open Method : Brent’s Method
    • Root of Polynomial using Muller’s Method ( page  1, 2, 3, 4, 5, 6, 7
      Exercise : page 1, 2, 3, 4, 5, 6 )
    • Optimization
  7. Natural Language Processing
  8. Biometrics
  9. Bioinformatics
  10. Data Structure
  11. Algorithms