IE 325 • Midterm • Stochastic Models
Sınava 9 gün kaldı.
“özellikle konu anlatımları çok verimli”
Uğur Karabaş
Endüstri Mühendisliği
Bölümün en zor derslerinden birinde olasılık temelli modellemeyle tanışıyoruz.
Detaylı konu anlatımları ve sınava yönelik sorularla Unicourse yine seninle!
Eğitmen
Ömer Faruk Altun
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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.
Sınava 9 gün kaldı.
Paketi Tamamla
🎓 Bilkent Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
IE 325 • Final
Stochastic Models
Ömer Faruk Altun
1799 TL
IE 325 • Midterm
Stochastic Models
Ömer Faruk Altun
1799 TL
Konular
Probability Review
Counting and Probability
Conditional Probability and Independence
Bayes' Rule
Discrete Random Variables
Continuous Random Variables
Expected Value and Variance
Bernoulli and Binomial Distributions
Continuous Uniform Distribution
Exponential Distribution
QUIZ 1 PRACTICE PROBLEMS
Problem 1
Problem 2
Problem 3
Problem 4
Problem 5
Problem 6
Problem 7
Problem 8
Problem 9
Problem 10
Problem 11
Problem 12
Problem 13
Problem 14
Problem 15
Problem 16
Problem 17
Problem 18
Markov Chains
What is a Markov Chain?
One-Step Transition Probabilities
Example
n-Step Transition Probabilities
Chapman-Kolmogorov Equations
Example
Unconditional State Probabilities
Example
Limiting Probabilities and State Classifications
Steady State Distribution
Example
Classes and State Properties
Periodicity and Ergodic Markov Chains
Example
Example
Example
First-step Analysis
First Passage Times
Example
Expected First Passage Time
Expected Recurrence Time
Example
Absorbing Markov Chains
What is an Absorbing MC?
Absorption Probabilities
Example
Probability of Ever Visiting a State
Example
Expected Number of State Visits
Example
Expected Time Until Absoption
Example
Poisson Processes
Counting Processes
Assumptions of Poisson Processes
Example 1
Memoryless Property
Example 2
Minimum of Exponential Random Variables
Example 3
Thinning
Example 4
Superposition
Example 5
Non-homogenous Poisson Processes
Example 6
Exam Practice: Abi en basitten al soruları!
Probability Review 1
Probability Review 2
Markov Chains 1
Markov Chains 2
Markov Chains 3
Markov Chains 4
Limiting Probabilities and State Classifications 1
Limiting Probabilities and State Classifications 2
Limiting Probabilities and State Classifications 3
Limiting Probabilities and State Classifications 4
Limiting Probabilities and State Classifications 5
First-step Analysis 1
First-step Analysis 2
Absorbing Markov Chains
Poisson Processes 1
Poisson Processes 2
Poisson Processes 3
Exam Practice: Konuları anladım zorla beni sorularla!
Probability Review 1
Probability Review 2
Probability Review 3
Markov Chains 1
Markov Chains 2
Markov Chains 3
Markov Chains 4
Markov Chains 5
Markov Chains 6
Limiting Probabilities and State Classifications 1
Limiting Probabilities and State Classifications 2
Limiting Probabilities and State Classifications 3
Limiting Probabilities and State Classifications 4
Limiting Probabilities and State Classifications 5
First-step Analysis 1
First-step Analysis 2
First-step Analysis 3
First-step Analysis 4
First-step Analysis 5
Absorbing Markov Chains
Poisson Processes 1
Poisson Processes 2
Poisson Processes 3
Poisson Processes 4
Değerlendirmeler
Geçen senenin verilen tüm moodel dosyaları.
özellikle konu anlatımları çok verimli
/
Ders İçeriği
Probability Review
Counting and Probability
Conditional Probability and Independence
Bayes' Rule
Discrete Random Variables
Continuous Random Variables
Expected Value and Variance
Bernoulli and Binomial Distributions
Continuous Uniform Distribution
Exponential Distribution
QUIZ 1 PRACTICE PROBLEMS
Problem 1
Problem 2
Problem 3
Problem 4
Problem 5
Problem 6
Problem 7
Problem 8
Problem 9
Problem 10
Problem 11
Problem 12
Problem 13
Problem 14
Problem 15
Problem 16
Problem 17
Problem 18
Markov Chains
What is a Markov Chain?
One-Step Transition Probabilities
Example
n-Step Transition Probabilities
Chapman-Kolmogorov Equations
Example
Unconditional State Probabilities
Example
Limiting Probabilities and State Classifications
Steady State Distribution
Example
Classes and State Properties
Periodicity and Ergodic Markov Chains
Example
Example
Example
First-step Analysis
First Passage Times
Example
Expected First Passage Time
Expected Recurrence Time
Example
Absorbing Markov Chains
What is an Absorbing MC?
Absorption Probabilities
Example
Probability of Ever Visiting a State
Example
Expected Number of State Visits
Example
Expected Time Until Absoption
Example
Poisson Processes
Counting Processes
Assumptions of Poisson Processes
Example 1
Memoryless Property
Example 2
Minimum of Exponential Random Variables
Example 3
Thinning
Example 4
Superposition
Example 5
Non-homogenous Poisson Processes
Example 6
Exam Practice: Abi en basitten al soruları!
Probability Review 1
Probability Review 2
Markov Chains 1
Markov Chains 2
Markov Chains 3
Markov Chains 4
Limiting Probabilities and State Classifications 1
Limiting Probabilities and State Classifications 2
Limiting Probabilities and State Classifications 3
Limiting Probabilities and State Classifications 4
Limiting Probabilities and State Classifications 5
First-step Analysis 1
First-step Analysis 2
Absorbing Markov Chains
Poisson Processes 1
Poisson Processes 2
Poisson Processes 3
Exam Practice: Konuları anladım zorla beni sorularla!
Probability Review 1
Probability Review 2
Probability Review 3
Markov Chains 1
Markov Chains 2
Markov Chains 3
Markov Chains 4
Markov Chains 5
Markov Chains 6
Limiting Probabilities and State Classifications 1
Limiting Probabilities and State Classifications 2
Limiting Probabilities and State Classifications 3
Limiting Probabilities and State Classifications 4
Limiting Probabilities and State Classifications 5
First-step Analysis 1
First-step Analysis 2
First-step Analysis 3
First-step Analysis 4
First-step Analysis 5
Absorbing Markov Chains
Poisson Processes 1
Poisson Processes 2
Poisson Processes 3
Poisson Processes 4
Sınava 9 gün kaldı.
Sıkça Sorulan Sorular
Örneğin, Koç Üniversitesi - MATH 101 (Calculus) veya başka bir okulun benzer dersi olsun, paketlerimiz tam da o derse göre tasarlanır. Böylece nokta atışı çalışır, zaman kazanırsın.
Sınava özel videolar —konu anlatımları, çıkmış sorular ve çözümleri, özet notlar—içerir. Sınavda sıkça çıkan soruları hedefler. Eğitmenlerimiz, üniversitenin akademik takvimini takip ederek paketleri sürekli günceller. Böylece, gereksiz detaylarla vakit kaybetmeden başarını artırmaya odaklanabilirsin.