• Metode Statistik dan Optimisasi (A)
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  • Course data
    Deskripsi singkat/Brief description
    Announcements
    Optimization Class (bu Vita)
    Optimization notes
    Week 1 - Introduction to Statistics Methods & Descriptive Methods
    Fill in the survey form
    Pertemuan (MS&O M1)
    Slides
    Textbooks
    (Tentative) schedule
    Week 2 - Probability
    Meeting (MS&O-W2)
    Slide
    Week 3 - Random Variables
    Slides
    Meeting (S&OM-W3)
    Week 4 - Continuous Random Variables
    Link for Whatsapp Group
    Meeting (S&OM-W4)
    Week 5 - Continuous Random Variables (part 2)
    Meeting (S&OM-W5)
    Week 5 extra - Sampling Distribution & Parameter Estimation
    Slide
    Meeting
    Week 6 - Quiz 1
    Guideline and topics for quiz
    Week 7 - Tests of Hypotheses for Single Sample
    Slide
    Meeting (S&OM-W7)
    Week 8 - Midterm Exam
    Guideline for exam
    Example: Midterm exam 2019
    Week 9: Introduction
    52 - Materi 1.1 - Pendahuluan
    52 - Materi 1.2 - Formulasi Umum Persoalan Optimasi
    52 - Materi 1.3 - Kategori Persoalan Optimasi
    52 - Materi 1.4 - Dasar Penggunaan MATLAB
    Optim-Lecture1
    L02-Mathematical Preliminaries
    L04-Intro Quantitative Optimization
    52 - 1.1 - Introduction
    52 - 1.2 - General Formulation of Optimization Problem
    52 - 1.3 - Optimization Problems Category
    52 - 1.4 - MATLAB introduction
    52 - Materi 1.1 - Pendahuluan
    52 - Materi 1.2 - Formulasi Umum Persoalan Optimasi
    52 - Materi 1.3 - Kategori Persoalan Optimasi
    52 - Materi 1.4 - Dasar Penggunaan MATLAB
    Optim-Lecture1
    L02-Mathematical Preliminaries
    L04-Intro Quantitative Optimization
    52 - 1.1 - Introduction
    52 - 1.2 - General Formulation of Optimization Problem
    52 - 1.3 - Optimization Problems Category
    52 - 1.4 - MATLAB introduction
    Week 10 (recording in notes)
    0 - suplemen math preliminaries
    0 - suplemen math preliminaries
    Week 13: LP and NLP
    [Assignment] Identifying and Formulating Optimization Problem
    52 - Materi 2.1 - Pemrograman Linier - Formulasi
    52 - Materi 2.2 - Pemrograman Linier - Solusi rev1
    52 - Materi 2.3 - Pemrograman Linier - Solusi Matlab r2
    [Assignment] Identifying and Formulating Optimization Problem
    52 - Materi 2.1 - Pemrograman Linier - Formulasi
    52 - Materi 2.2 - Pemrograman Linier - Solusi rev1
    52 - Materi 2.3 - Pemrograman Linier - Solusi Matlab r2
    Week 14: Non Linear Programming
    0 - suplemen nonlinear optimization
    0 - suplemen nonlinear optimization
    Week 15: Genetic Algorithm
    L07-Global Optimization Basics
    L18-Evolutionary Algorithms
    [Assignment 1: Revised assignment]
    L07-Global Optimization Basics
    L18-Evolutionary Algorithms
    [Assignment 1: Revised assignment]
    Week 16: Final evaluation
    Handout - 7.3. Genetic Algorithm using MATLAB
    52 - 7.3 - Genetic Algorithm with MATLAB
    optim13 peak m default
    Final Evaluation
    Handout - 7.3. Genetic Algorithm using MATLAB
    52 - 7.3 - Genetic Algorithm with MATLAB
    optim13 peak m default
    Final Evaluation
    Minggu 14 - Algoritma Genetika
    52 - Materi 7.1 - Algoritma Genetika - Motivasi
    52 - Materi 7.2 - Algoritma Genetika
    52 - Materi 7.3 - Algoritma Genetika dengan MATLAB
    52 - Materi 7.1 - Algoritma Genetika - Motivasi
    52 - Materi 7.2 - Algoritma Genetika
    52 - Materi 7.3 - Algoritma Genetika dengan MATLAB
    Kuis 1 Susulan
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    Metode Statistik dan Optimisasi (A)
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    3. Institut Teknologi Sepuluh Nopember
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    6. S-2 TEKNIK ELEKTRO TEKNIK SISTEM TENAGA
    7. Semester Gasal 2021/2022
    8. Metode Statistik dan Optimisasi (A)
    9. Summary

    Metode Statistik dan Optimisasi (A)

    • Teacher: Vita Lystianingrum B P
    • Teacher: Wirawan

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    Sukolilo | Manyar | Tjokroaminoto
    Kampus Institut Teknologi
    Sepuluh Nopember Surabaya
    Phone: 031-5994251-54, 5947274, 5945472
    Fax: 031-5923465, 5947845

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