Boğaziçi Üniversitesi'ne özel dersler, soru çözümleri ve çıkmış sorular seni bekliyor. Hemen üye ol ve ücretsiz midterm dersini dene.
Ücretsiz Dersi AlBu ders ile EC 233 sınavı için temel konseptleri çok iyi anlamakla kalmayıp sınava girmeye de tamamen hazır olacaksın.
Dersin içeriğinde yer alan Special Continuous and Discrete Distributions, Joint Probability Distribution, Marginal Distribution, Covariance, Independence, Conditional Expectation & Variance, Moment Generating Function ve Sampling Distributions kavramlarını çok iyi öğreneceksin ve hepsine dair en az birer örnek soru göreceksin.
Special Discrete Probability Distributions
Bernoulli Distribution Part 1
Bernoulli Distribution Part 2
Example 1
Example 2
Binomial Distribution Part 1
Binomial Distribution Part 2
Example 3
Example 4
Poisson Distribution Part 1
Poisson Distribution Part 2
Example 5
Example 6
Poisson Approximation to Binomial Distribution
Example 7
Hypergeometric Distribution
Example 8
Geometric Distribution Part 1
Geometric Distribution Part 2
Example 9
Example 10
Negative Binomial Distribution Part 1
Negative Binomial Distribution Part 2
Example 11
Example 12
Special Continuous Probability Distributions
Uniform Distribution
Example 1
Example 2
Exponential Distribution
Example 3
Example 4
Memoryless Property
Example 5
Normal Distribution
Standard Normal Distribution
Reading Z Table - Option 1
Reading Z Table - Option 2
Example 6
Normal Approximation to Binomial Distribution
Example 7
Gamma Distribution
Example 8
Relation of Gamma Distribution with Others
Sample Final Problems I
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Binomial Distribution 4
Poisson distribution 1
Poisson Distribution 2
Poisson Distribution 3
Poisson distribution 4
Hypergeometric Distribution 1
Hypergeometric Distribution 2
Hypergeometric Distribution 3
Hypergeometric Distribution 4
Negative Binomial Distribution 1
Negative Binomial - Geometric Distribution
Geometric Distribution 1
Geometric Distribution 2
Geometric Distribution 3
Continuous Uniform Distribution 1
Continuous Uniform Distribution 2
Continuous Uniform Distribution 3
Exponential Distribution 1
Exponential Distribution 2
Exponential Distribution 3
Exponential Distribution 4
Normal Distribution 1
Normal Distribution 2
Normal Distribution 3
Normal Distribution 4
Normal Distribution 5
Normal Distribution 6
Normal Distribution 7
Moment Generating Functions
Discrete Random Variables and Examples
Exam Like Question
Continuous Random Variables and Examples
Exam Like Question
Introduction to Sampling
Chebyshev's Theorem
Example 1
Sample Mean
Sample Variance
Central Limit Theorem
Example 2
Example 3
Example 4
Example 5
Example 6
Sample Final Problems II
Moment Generating Function 1
Moment Generating Function 2
Moment Generating Function 3
Moment Generating Function 4
Moment Generating Function 5
Chebyshev's Theorem 1
Chebyshev's Theorem 2
Central Limit Theorem 1
Central Limit Theorem 2
Central Limit Theorem 3
Central Limit Theorem 4
Central Limit Theorem 5
Discrete Joint Probability
Probability Mass Function
PMF Example
Marginal PMF and CDF
Expected Value
Variance
Expected Value and Variance Example
Conditional PMF and CDF
Conditional Expectation
End of Topic Example - Part I
End of Topic Example - Part II
Continuous Joint Probability
Introduction
Marginal PDF and CDF
Expected Value and Variance
Conditional PDF and CDF
Conditional Expectation
Example 1
Example 2
Example 3
Joint Statistics
Covariance
Example 1 (Discrete)
Example 2 (Continuous)
Example 3 (Continuous)
Exam Like Question 1
Exam Like Question 2
Variance of Sums
Example 4
Correlation
Example 5
Exam Like Question 3
Functions of Random Variables
Distribution Function Techniques
Example 1
Example 2
Example 3
Example 4
Example 5
Sample Final Problems III
Discrete Joint Distribution 1
Discrete Joint Distribution 2
Discrete Joint Distribution 3
Discrete Joint Distribution 4
Discrete Joint Distribution 5
Continuous Joint Probability 1
Continuous Joint Probability 2
Continuous Joint Distribution 3
Continuous Joint Distribution 4
Continuous Joint Distribution 5
Continuous Joint Distribution 6
Joint Statistics 1
Joint Statistics 2
Joint Statistics 3
Joint Statistics 4
Joint Statistics 5
Distribution Function Technique 1
Distribution Function Technique 2
Distribution Function Technique 3
Distribution Function Technique 4
Distribution Function Technique 5
2011 yılında Endüstri Mühendisliği okumak için başladığım Sabancı Üniversitesi'nden 2018 yılında Bilgisayar Mühendisi olarak mezun oldum. 11 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.
2007 yılında Galatasaray Üniversitesi Bilgisayar Mühendisliği bölümünden birincilikle mezun olduktan sonra Fransa'da Kriptoloji üzerine Fransa hükümeti tarafından verilen bursla yüksek lisans yaptım. Devamında ikinci kez sınava girerek Boğaziçi Matematik bölümünü de bitirdim. Yaklaşık 15 yıldır üniversite öğrencilerine dersler vermekteyim.
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