ISE 323 • Midterm • Operations Research II
Yeditepe Üniversitesi ISE 323 (Operations Research II) Midterm sınavına hazırlık paketi.
İşlenen konular: Counting, Axioms of Probability, Conditional Probability & Bayes' Theorem, Discrete Random Variables, Special Discrete Distributions, Continuous Random Variables, Special Continuous Distributions, Discrete Joint Distributions, Continuous Joint Distributions, Markov Chains, States and Steady-State Probabilities, Steady State Probability Applications.
Ayda 666 TL, peşin fiyatına 3 taksit
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.
Konular
Probability Review
10 konu anlatımı
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
Normal Distribution
✅ ❌ PS QUESTIONS - PART 1
23 soru
Probability Review 1
Probability Review 2
Probability Review 3
Probability Review 4
Probability Review 5
Probability Review 6
Probability Review 7
Probability Review 8
Probability Review 9
Probability Review 10
Probability Review 11
Probability Review 12
Probability Review 13
Probability Review 14
Probability Review 15
Probability Review 16
Probability Review 17
Probability Review 18
Probability Review 19
Probability Review 20
Probability Review 21
Probability Review 22
Probability Review 23
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
States and Steady-State Probabilities
7 konu anlatımı
Steady State Distribution
Example
Classes and State Properties
Periodicity and Ergodic Markov Chains
Example
Example
Example
Steady State Probability Applications
5 konu anlatımı
First Passage Times
Example
Expected First Passage Time
Expected Recurrence Time
Example
✅ ❌ PS QUESTIONS - PART 2
16 soru
Markov Chains 1
Markov Chains 2
Markov Chains 3
Markov Chains 4
Markov Chains 5
States and Steady State Probabilities 1
States and Steady State Probabilities 2
States and Steady State Probabilities 3
States and Steady State Probabilities 4
States and Steady State Probabilities 5
States and Steady State Probabilities 6
States and Steady State Probabilities 7
States and Steady State Probabilities 8
Steady State Probability Applications 1
Steady State Probability Applications 2
Steady State Probability Applications 3
🦄🦄 SAMPLE EXAM PROBLEMS 🦄🦄
16 soru
Probability Review 1
Probability Review 2
Probability Review 3
Probability Review 4
Probability Review 5
Markov Chains 1
Markov Chains 2
States and Steady State Probabilities 1
States and Steady State Probabilities 2
States and Steady State Probabilities 3
States and Steady State Probabilities 4
States and Steady State Probabilities 5
Steady State Probability Applications 1
Steady State Probability Applications 2
Steady State Probability Applications 3
Steady State Probability Applications 4
Değerlendirmeler
3 öğrenci değerlendirmesi
Değerlendirme yapmak için bu derse sahip olman gerekiyor.
İpek Önem
Satın aldıEndüstri Mühendisliği
Buse Uysal
Satın aldıEndüstri Mühendisliği
Can Urfalı
Satın aldıEndüstri Mühendisliği
İkisini Birlikte Al
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ISE 323 Midterm Hakkında Sıkça Sorulan Sorular
Unicourse Hakkında Sıkça Sorulan Sorular
