INE 312 • Tüm Sınavlar • Operations Research II
INE 311'i bitirdik, INE 312 devamı sanıyorsun değil mi? Maalesef.
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Eğitmen
Ömer Faruk Altun
Co-founder & Head of Education
2011 yılında Endüstri Mühendisliği okumak için başladığım Sabancı Üniversitesi'nden 2018 yılında Bilgisayar Mühendisi olarak mezun oldum. 13 yıldır Altun ismiyle başta Sabancı Üniversitesi olmak üzere çeşitli okullarda Endüstri ve Bilgisayar Mühendisliği alanlarında ders vermekteyim. Unicourse'ta sunduğum derslerin yanında eğitim departmanının da sorumluluğunu üstlenmekteyim.
Geçme Garantisi
Derslerimize güveniyoruz. Olur da sınavlarına bizimle hazırlandığın halde dersten kalırsan, iade alabilirsin. Koşullar
Konular
Solving NLP with One Variable
3 konu anlatımı
What is NLP?
One Variable Unconstrained Optimization
Convexity
Unconstrained Optimization with Several Variables
4 konu anlatımı
Multivariable Unconstrained Optimization
Convexity
Steepest Ascent (Gradient Search) Algorithm
Example
Kuhn-Tucker Conditions
2 konu anlatımı
KKT Conditions (a.k.a. KT Conditions)
Example
Sample Exam Problems
15 soru
Non-Linear Programming 1
Non-Linear Programming 2
Non-Linear Programming 3
Solving NLP with One Variable 1
Unconstrained Optimization with Several Variables 1
Unconstrained Optimization with Several Variables 2
Unconstrained Optimization with Several Variables 3
Unconstrained Optimization with Several Variables 4
Unconstrained Optimization with Several Variables 5
Unconstrained Optimization with Several Variables 5
Kuhn-Tucker Conditions 1
Kuhn-Tucker Conditions 2
Kuhn-Tucker Conditions 3
Kuhn-Tucker Conditions 4
Kuhn-Tucker Conditions 5
Probability Review for Decision Analysis
7 konu anlatımı
Conditioning Events
Total Probability Rule
Example 1
Example 2
Bayes' Rule
Bayes' Rule Example 1
Bayes' Rule Example 2
Decision Trees and Sensitivity Analysis
12 konu anlatımı
Introduction
A Decision Tree Example
Interpretation
EV or EMV
Example 1
Decision Strategies
Example 2
Risk Profiles
Example 3
Deterministic Dominance
Stochastic Dominance
Example 4
Value of Information
6 konu anlatımı
Introduction
Calculation of EVPI
Some notes about EVPI
Example EVPI
EVII or EVSI
Example EVII
Utility Theory
5 konu anlatımı
Introduction
Different Risk Attributes
Example 1
Certainity Equivalent
Example 2
Analytic Hierarchy Process (AHP)
13 konu anlatımı
Introduction
Major Steps of AHP
Building the Hierarchy
Pairwise Comparison Matrix
Matrix Multiplication
Eigenvalue
Eigenvector
Eigenvalue - Eigenvector Method
Example - Building Hierarchical Tree
Example- Relative weights of the criteria
Example - Individual scores
Example - Synthesize the weights and scores
Consistency
Sample Exam Problems
12 soru
Decision Trees and Sensitivity Analysis 1
Decision Trees and Sensitivity Analysis 2
Value of Information 1
Value of Information 2
Value of Information 3
Utility Theory 1
Utility Theory 2
Utility Theory 3
Utility Theory 4
AHP 1
AHP 2
AHP 3
Probability Review for Markov Chains
4 konu anlatımı · 3 soru
Random Variables and Probability Distributions
Conditional Probability
Total Probability Rule
Expected Value
Review Question 1
Review Question 2
Review Question 3
Markov Chains
8 konu anlatımı
What is a Markov Chain?
One-Step Transition Probabilities
Example
n-Step Transition Probabilities
Chapman-Kolmogorov Equations
Example
Unconditional State Probabilities
Example
Classification of States and Limiting Distribution
7 konu anlatımı
Steady State Distribution
Example
Classes and State Properties
Periodicity and Ergodic Markov Chains
Example
Example
Example
Mean First Passage Times
5 konu anlatımı
First Passage Times
Example
Expected First Passage Time
Expected Recurrence Time
Example
Absorbing Markov Chains
9 konu anlatımı
Absorbing Markov Chains
Matrix Structure
Inverse of a Matrix
Expected Number of State Visits
Example
Expected Time Until Absoption
Example
Absorption Probabilities
Example
Sample Final Problems
15 soru
Markov Chains 1
Markov Chains 2
Markov Chains 3
Markov Chains 4
Classification of States and Limiting Distribution 1
Classification of States and Limiting Distribution 2
Classification of States and Limiting Distribution 3
Classification of States and Limiting Distribution 4
Classification of States and Limiting Distribution 5
Classification of States and Limiting Distribution 6
Classification of States and Limiting Distribution 7
Mean First Passage Times 1
Mean First Passage Times 2
Absorbing Markov Chains 1
Absorbing Markov Chains 2