[100% OFF] OLASILIK

What you Will learn ?

  • Kümeler
  • Deney, Sonuç, Olay, Örneklem uzayı kavramları
  • Olasılık aksiyomları
  • Koşullu (Conditional) olasılık
  • Bağımsızlık, Ayrıklık
  • Toplam olasılık kuralı ve Bayes teoremi
  • Ağaç diyagramları, sayma metotları
  • Permutasyon ve kombinasyon ile bir olayın olasılığının hesabı
  • Bağımsız denemeli deneyler
  • Ayrık ve sürekli rassal değişkenler
  • Olasılık kütle ve yoğunluk fonksiyonu (PMF ve PDF)
  • Ayrık ve sürekli rassal değişkenlerin kümülatif dağılım fonksiyonu (CDF)
  • Rassal değişkenlerde beklenen değer, varyans, standart sapma kavramları
  • Rassal değişkenlerin fonksiyonları, Y=g(X) ‘in PDF’ini bulmak
  • Bernoulli, Binomial, Pascal, Poisson gibi çok karşılaşılan rassal değişkenlerin dağılımlarının çıkarılışı
  • Gauss dağılımı , Q fonksiyonu, Phi fonksiyonu
  • Çoklu rassal değişkenler

Course Description

Merhaba,   

Ben Aybars, doktora eğitimim boyunca çalıştığım konulardan dolayı olasılıkla fazla haşır neşir olmuş biriyim. Bu kursta sizlerle olasılık teorisi hakkında bildiklerimi paylaşacağım. İster okuldaki hocanın anlatışını beğenmeyen bir lisans öğrencisi, isterseniz bilgilerini tazelemek isteyen lisansüstü öğrencisi veya mezun olun bu kursun sizin için faydalı olacağını düşünüyorum. Şu anki hali 4 saat olan kursun yapımı halen devam etmektedir. Tamamlanmamış olan her bölümün yanlarında tahmini bitiş tarihlerini yazdım.

Özellikle lisans öğrencileri en çok soru çözümü istedikleri için her konudan sonra ödev ekledim. Her bir ödevin hem indirip daha sonra kendiniz de çalışabilin diye pdf formatında dökümanı ve videolu anlatımı bulunmaktadır.

Course Requirements

  • Fonksiyonlar
  • Temel seviyede türev, integral

Coupon Code : 23BE063CB0D5E8C4CC1B




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