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PROBABILITY AND STATISTICS DERS TANITIM VE UYGULAMA BİLGİLERİ

Kodu Dersin Adı Yarıyıl Süresi(T+U) Kredisi AKTS Kredisi
MTH207 PROBABILITY AND STATISTICS 3 3 3 5

DERS BİLGİLERİ

Dersin Öğretim Dili : İngilizce
Dersin Düzeyi BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Dersin Türü Zorunlu
Dersin Veriliş Şekli -
Dersin Koordinatörü Assist.Prof. OĞUZHAN ÖZTAŞ
Dersi Veren Öğretim Üyesi/Öğretim Görevlisi Dr.Öğr.Üyesi SAJEDEH NOROZPOUR SIGAROODI-Dr.Öğr.Üyesi ZEHRA CİVAN
Ders Ön Koşulu Yok

AMAÇ VE İÇERİK

Amaç: Identifies problem in the field of statistic problem and find solution,prerares reports for statistic problem,solving continious random variable problem and normal distribution
İçerik: introduction of basic statistical concepts , central tendency and variability measures,probability, intermittent and continuous distributions , binom and poisson, continuous distributions and normal distrubituon applications

DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.)

I-dentifies problem in the field of statistic and find solution (Course Learning II-Prepares reports for statistic problems Outcomes) III-The relationship between other engineering science and statistic IV-Make discussion and analysis of complex statistic problems V-Develop data and research-based solution VI-preparing and commenting on the questionnaire VII-solves probability problems

HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI

Hafta Ön Hazırlık Konular Yöntem
1 Literature Research İntroduction of statistic science Expression
2 Literature Research Statstic error,main and sample mass Expression
3 Literature Research Frequency distrubution and histogram Expression
4 Literature Research Aritmetic mean,mode, median Expression
5 Literature Research Change interval, average deviation,variance Expression
6 Literature Research standart deviation,coefficient of variation Expression
7 Literature Research introduction of probability Expression
8 - MID-TERM EXAM -
9 Literature Research Conditional probability Expression
10 Literature Research Depndent and independent variables Expression
11 Literature Research Depndent and independent variables Expression
12 Literature Research Depndent and independent events Expression
13 Literature Research Discrete random variable and binom distribution Expression
14 Literature Research Discrete random variable and poisson distribution Expression
15 Literature Research Continuous random variable and normal distribution Expression
16 - FINAL EXAM -
17 - FINAL EXAM -

KAYNAKLAR

İşletmeciler için genel istatistik,Orhan İdil,İ.Ü. Yayınları,1983,
Örnekleme Teorisi ve işletme yönetiminde uygulaması,Orhan İdil,İ.Ü. Yayını,1980
Matemetiksel İstatistiğe giriş,Uğur Korum,Ankara üniversitesi,1971
Matemetiksel İstatistik,Mustafa Aytaç, Ezgi yayınları,Ankara Üniv.yayını,1999,
Yönetimde istatistik teknikler ve örnek olaylar, Orhan İdil,İst. Gelişim Üniv. ,1979

ÖLÇME VE DEĞERLENDİRME

Yarıyıl İçi Yapılan Çalışmaların Ölçme ve Değerlendirmesi Etkinlik Sayısı Katkı Yüzdesi Açıklama
(0) Etkisiz (1) En Düşük (2) Düşük (3) Orta (4) İyi (5) Çok İyi
0 1 2 3 4 5

DERSİN PROGRAM ÖĞRENME ÇIKTILARINA KATKISI

KNOWLEDGE
Theoretical
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Explains the fundamental engineering concepts of computer science and relates them to the groundwork of computer science.
KNOWLEDGE
Factual
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Uses theoretical and practical knowledge coming from mathematics, probability, statistics and various other branches of life sciences, to find solutions to engineering problems.
SKILLS
Cognitive
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Determines the components and the underlying process of a system and designs an appropriate computational model under reasonable constraints.
2
Designs a computer-aided conceptual model with modern techniques.
SKILLS
Practical
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Determines, detects and analyzes the areas of computer science applications and develops appropriate solutions.
2
Identifies, models and solves computer engineering problems by applying appropriate analytical methods.
3
Determines and uses the necessary information technologies in an efficient way for engineering applications.
OCCUPATIONAL
Autonomy & Responsibility
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Possess the responsibility and ability to design and conduct experiments for engineering problems by collecting, analyzing and interpreting data.
2
Possess the ability to conduct effective individual study.
3
Takes responsibility as a team work and contributes in an effective way.

DERSİN İŞ YÜKÜ VE AKTS KREDİSİ

Öğrenme-Öğretme Etkinlikleri İş Yükü
Öğrenme-Öğretme Etkinlikleri Etkinlik(hafta sayısı) Süresi(saat sayısı) Toplam İş Yükü
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 1 14
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 7 3 21
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 2 2
Preparation for the Final Exam 1 25 25
Mid-Term Exam 1 2 2
Preparation for the Mid-Term Exam 1 20 20
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 39 0 126
Genel Toplam 126
Toplam İş Yükü / 25.5 4,9
Dersin AKTS(ECTS) Kredisi 5,0