Materi

21Struktur Data dan Algoritma [.pdf] [156.7 KB]
Materi kuliah : Struktur Data dan Algoritma; Dosen : Dr. Ir. Petrus Mursanto M.Sc.; Fakultas Ilmu Komputer Universitas Indonesia
Struktur Data dan Algoritma 4 SKS ? Selasa & Kamis 11:00 ? 12:15 ? Tutorial 50 menit ? forum.iki.struktur ? telaga.cs.ui.ac.id/WebKuliah/SDA Arti Kata (Webster) ? Data (n.pl): facts or figures to be processed; evidence, records or statistics etc. from which conclusion can be inferred; information ? Structure (n): ? manner of building, constructing, or organizing ? something built or constructed ? something composed of interrelated parts forming an organism or organization 10-Feb-04 IKI10100 - PM 1-1
22Syllabus of Econometrics II [.pdf] [27.3 KB]
Syllabus of Econometrics II; Dosen : Prof. Nachrowi D. Nachrowi, Ph.D; Fakultas Ekonomi Universitas Indonesia
University of Indonesia Graduate Program in Economics 2009 / 2010 Syllabus of Econometrics II Instructor: Prof. Nachrowi Djalal Nachrowi, PhD Teaching Assistant: Maria Agriva, SE, MSE, MA I. Course Description In general, this course is a second course in econometrics and will focus on discussing the applications of econometric models that are widely used in economic analyses. Since the course is a continuation of Econometrics I given in the first semester, it is assumed that all students have mastered
23Introduction to Stochastic Time Series Models [.pdf] [142.8 KB]
Materi kuliah Econometrics 2: Introduction to Stochastic Time Series Models; Dosen : Prof. Nachrowi D. Nachrowi, Ph.D; Fakultas Ekonomi Universitas Indonesia
Introduction to Stochastic Time Series Models We have learned several simple extrapolation techniques for Deterministic Time Series Models We will study more complex extrapolation techniques that assume the time series we are analyzing are formed random or stochastic processes.. It is assumed that the time series we are analyzing as samples drawn from bigger random processes. Mathematically, y1, y2, . . . yT drawn randomly from a probability distribution it is assumed : y1, y2, . . . yT normally dis
24Time Series Models [.pdf] [170.4 KB]
Materi kuliah Econometrics 2: Time Series Models; Dosen : Prof. Nachrowi D. Nachrowi, Ph.D; Fakultas Ekonomi Universitas Indonesia
Time Series Models 1. 2. 3. 4. What? Why? Rationality? Advantages/disadvantages relative to cross-section models 5. How? Models that we have learned, mostly, models that observe the movements of variables by observing other variables that influenced them. In this case, we will learn models that observe the movements of variables by observing the movement of previous variables themselves. For illustrations, observe the following time series data, y(t): movement of XR for the last 5 years Fluctuation of
25Non Linear Estimation and Maximum Likelihood Estimation [.pdf] [116.3 KB]
Materi kuliah Econometrics 2: Non Linear Estimation and Maximum Likelihood Estimation; Dosen : Prof. Nachrowi D. Nachrowi, Ph.D; Fakultas Ekonomi Universitas Indonesia
Non Linear Estimation and Maximum Likelihood Estimation Non Linear Estimation and Maximum Likelihood Estimation Non Linear Estimation We have studied linear models in the sense that the parameters are linear even when the variables are non linear. In addition, we also have studied non linear models that can be transformed into linear models. Thus, the models can be estimated using linear regression technique. However, sometimes, we are encountered models that can not be linearized and therefore we can
26EKONOMETRI [.pdf] [179.1 KB]
Materi kuliah Econometrics 2: EKONOMETRI; Dosen : Prof. Nachrowi D. Nachrowi, Ph.D; Fakultas Ekonomi Universitas Indonesia
Econometrics2 - Nachrowi Review of Basic Econometrics EKONOMETRI Arti harfiah: Ukuran-ukuran ekonomi Arti luas: Suatu ilmu yang mempelajari analisis kuantitatif dari fenomena ekonomi dalam artian secara umum Pendekatan Multidisipler: Teori Ekonomi Matematika Ekonomi Statistika Ekonomi Matematika Stastika METODOLOGI EKONOMETRI 1. Membuat hipotesis 2. Menwarkan model untuk menguji hipotesis / teori 3. Mengestimasi parameter model 4. Melakukan verifikasi model 5. Membuat prediksi 6. Menggunakan model un
27PENULISAN ILMIAH [.pdf] [188.2 KB]
Materi : PENULISAN ILMIAH; Dosen : Zainal A. Hasibuan; Fakultas Ilmu Komputer Universitas Indonesia
PENULISAN ILMIAH Oleh: Zainal A. Hasibuan Siti Aminah Fakultas Ilmu Komputer Universitas Indonesia Evaluasi Subyektif ? Analisis Teknis ? teknik yang digunakan penulis untuk mendapatkan "dampak" yang dikemukan dalam tulisan ilmiah tersebut ? Interpretasi ? merupakan "personal response", akibatnya setiap pembaca bisa mempunyai interpretasi yang berbeda ? interpretasi harus konsisten dengan semua fakta yang ada dalam tulisan Penulisan Ilmiah 2002 ? Interpretasi ? Interpretasi bukan sekedar membuat ring
28SCIENTIFIC WRITING: The Writing Process [.pdf] [106.5 KB]
Materi : SCIENTIFIC WRITING; Dosen : Zainal A. Hasibuan; Fakultas Ilmu Komputer Universitas Indonesia
SCIENTIFIC WRITING: The Writing Process Zainal A. Hasibuan/Siti Aminah Faculty of Computer Science University of Indonesia The Stages of the Writing Process Planning Drafting Revising Working Within the Process Planning Getting started Sources and strategies Using memory in writing Code words Brainstorming Freewriting Keeping a journal Using observation in writing Lookout spots Scouting Mapping Speculating Using research in writing Search questions Interviewing Reading Mixing sources and strategies
29Silabus Mata Kuliah Analisis dan Perancangan Sistem Tahun 2004 [.pdf] [25.6 KB]
Silabus Mata Kuliah Analisis dan Perancangan Sistem Tahun 2004 ; Dosen : Zainal A. Hasibuan; Fakultas Ilmu Komputer Universitas Indonesia
Silabus Mata Kuliah Analisis dan Perancangan Sistem Tahun 2004 Fakultas Ilmu Komputer Universitas Indonesia Deskripsi: Perkuliahan Analisis dan Perancangan Sistem tahun 2004 ini akan diberikan dengan cara kombinasi antara perkuliahan dengan tatap muka dan perkuliahan menggunakan metode PBL (Problem Based Learning). Peserta akan dibagi kedalam maksimal 20 kelompok (1 kelompok maksimal 5 orang). Setiap peserta diharapkan aktif dalam kelompoknya masing-masing. Pengasuh: 1. Zainal A. Hasibuan PhD (ZAH) (zha
30SCIENTIFIC WRITING [.pdf] [537.6 KB]
Materi : SCIENTIFIC WRITING; Dosen : Zainal A. Hasibuan; Fakultas Ilmu Komputer Universitas Indonesia
SCIENTIFIC WRITING By: Zainal A. Hasibuan Siti Aminah Faculty of Computer Science University of Indonesia Why Study Scientific Reasoning ? ? It will make you better able to understand and utilize scientific information in both your personal life and your work. ? It will make you a more literate and cultured person. ? It provides you some insight not only into particular scientific findings but also into the general nature of science as a human activity. Scientific Writing 2002 How to Study Scientific
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