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
   • Mahalanobis Distance Contoh : 20170924-mahalanobis-distance
   • k-Nearest Neighbor Classification [1]
   • Naive Bayes (slide : naive-bayes )
   • Backpropagation Algorithm p1 p2 p3 p4
   • Example of Backpropagation Algorithm Calculation
     ( page 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 )
   • Feature Subset Selection (FSS) [1] [2]
   • Support Vector Machines (SVM) [1] [2] (slide: 20170828-svm)
   • Partitional Clustering : k-Means Clustering
   • Hierarchical Clustering : Min (Single Link Clustering)
   • Hierarchical Clustering : Max (Complete Linkage  Clustering)
   • How to draw Receiver Operating Characteristics Curve ?
   • Langkah-langkah Preprocesing Data
   • Mengukur rasio between-class variance dan within-class variance
   • Bagaimana menghitung specificity, sensitivity dan Positive Predicted Value ?
2. Linear Algebra
   • Inverse Matrix using Gauss-Jordan Elimination
   • Eigen Value & Eigven Vector
3. Statistics & Probability
   • Final Exam Statistics & Probability (2011)
   • Statistics & Probability Final Examination Solutions (2010)
4. Artificial Intelligence
   • AI Application :
     Artificial Intelligence Application for Malaria Diagnosis Based On Thin Blood Smears Microphotograph (http://www.nasonline.org/programs/kavli-frontiers-of-science/past-symposia/2014-idafos.html , youtube)
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
   • Sekilas mengenai biometrics
   • Teknologi Biometrics dalam e-KTP
   • Membedah teknologi e-KTP
   • Press conference teknologi e-KTP
   • Teknologi Biometrik untuk layanan publik 
   • Teknologi apa saja yang berada dalam kartu kecil e-ktp ?
   • Catatan Open House Laboratorium : Biometrics & Image Processing Laboratory
   • Spoofing dalam mengelabui sistem biometrics
   • DeepFace : teknologi biometrics berbasis Deep Learning yang dikembangkan oleh Facebook
   • Biometrics KTP-el memakai iris, bukan retina
   • Sejak usia berapa sidik jari stabil ?
   • Memahami syarat False Acceptance Rate dam False Rejection Rate sistem Biometrics secara sederhana
   • Biometrics assignment : manual annotation
   • Diskusi di kelas tentang biometrics spoofing
   • Tantangan Biometrics di masa depan : Medical Alteration
   • Memahami FMR & FNMR pada sistem biometrics
   • Mengukur kinerja sistem biometrics dari rasio between & within class variance
   • Ekstraksi karakteristik individu untuk pengenalan identitas memakai biometrics
9. Bioinformatics
10. Data Structure
11. Algorithms