Bu ders ile MATH 215 sınavı için temel konseptleri çok iyi anlamakla kalmayıp sınava girmeye de tamamen hazır olacaksın.
Dersin içeriğinde yer alan Combinatory Analysis, Rules of Probability, Conditional Probability, Independence, Bayes Theorem, Discrete Random Variables ve Special Discrete Variables kavramlarını çok iyi öğreneceksin ve hepsine dair örnek sorular ve geçmiş sınav soruları göreceksin.
Axioms of Probability
Axioms of Probability 1
Axioms of Probability 2
Axioms of Probability 3
Axioms of Probability 4
Combinatorial Analysis
Introduction to Counting
Combination & Permutation: Intuition
Combination
Permutation 1
Permutation 2
Binomial Theorem
Example 1
Example 2
Example 3
Conditional Probability
What is Conditional Probability?
Conditional Probability Examples 1
Conditional Probability Examples 2
Conditional Probability and Sets
Exam Like Question 1
Exam Like Question 2
Exam Like Question 3
Total Probability Rule & Bayes' Rule
Total Probability Rule
Bayes' Rule
Exam Like Question 1
Exam Like Question 2
Exam Like Question 3
Independence
Introduction to Independence
Exam Like Question 1
Exam Like Question 2
Exam Like Question 3
Exam Like Question 4
Sample Midterm Part I
Counting
Axioms of Probability 1
Axioms of Probability 2
Conditional Probability 1
Conditional Probability 2
Conditional Probability 3
Conditional Probability 4
Conditional Probability 5
Independence 1
Independence 2
Independence 3
Independence 4
Bayes' Rule 1
Bayes' Rule 2
Bayes' Rule 3
Bayes' Rule 4
Bayes' Rule 5
Discrete Random Variables
Probability Mass Functions
Expected Value
PMF Tables
Exam Like Question 1
Variance
Exam Like Question 2
Exam Like Question 3
Expected Value and Variance Arithmetic
Cumulative Distribution Function
Sample Midterm Part II
Discrete Random Variables 1
Discrete Random Variables 2
Discrete Random Variables 3
Discrete Random Variables 4
Discrete Random Variables 5
Discrete Random Variables 6
Discrete Random Variables 7
Discrete Random Variables 8
Discrete Random Variables 9
Discrete Random Variables 10
Discrete Uniform, Bernoulli and Binomial Distributions
Discrete Uniform Distribution Part 1
Discrete Uniform Distribution Part 2
Example 1
Example 2
Bernoulli Distribution Part 1
Bernoulli Distribution Part 2
Example 3
Example 4
Binomial Distribution Part 1
Binomial Distribution Part 2
Example 5
Example 6
Geometric, Hypergeometric, Negative Binomial and Poisson Distributions
Geometric Distribution Part 1
Geometric Distribution Part 2
Example 1
Example 2
Hypergeometric Distribution
Example 3
Negative Binomial Distribution Part 1
Negative Binomial Distribution Part 2
Example 4
Example 5
Poisson Distribution Part 1
Poisson Distribution Part 2
Example 7
Example 8
Poisson Approximation to Binomial Distribution
Example 9
Sample Midterm Part III
Uniform Distribution 1
Uniform Distribution 2
Uniform Distribution 3
Binomial Distribution 1
Binomial Distribution 2
Binomial Distribution 3
Binomial Distribution 4
Poisson Distribution 1
Poisson Distribution 2
Poisson Approximation to Binomial Distribution 1
Geometric Distribution 1
Geometric Distribution 2
Geometric Distribution 3
2011 yılında Endüstri Mühendisliği okumak için başladığım Sabancı Üniversitesi'nden 2018 yılında Bilgisayar Mühendisi olarak mezun oldum. Şu anda UALR'da Information Science doktora eğitimimi sürdürüyorum. 7 yıldır Altun ismiyle başta Sabancı Üniversitesi olmak üzere çeşitli okullarda Endüstri ve Bilgisayar Mühendisliği alanlarında ders vermekteyim.
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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