Ondokuz Mayıs Üniversitesi Bilgi Paketi - Ders Kataloğu
Faculty of Science and Letters - Department of Statistics

General Description

History

Ondokuz Mayıs University Science and Art Faculty, Department of Statistics has begun undergraduate education between 1982 and 1983. Approximately 215 students in the department are educated by a scientific committee which consists of 16 members such as 4 professor, 6 Assoc professor, 1 assistant professor and 5 assistants. The main objective of the department is to offer a well-balanced statistics program for prospective statisticians who may work in various fields including university teaching. The aim of the program offered by The Department of Statistics is two-fold: First is to provide its students with a firm foundation in the theory and application of the basic techniques of statistics; second is to ensure that students acquire a background knowledge in the other social sciences. The development of the student’s power of analytical reasoning is the major aim of the department.

Qualification Awarded

The students who complete all the courses in the undergraduate program successfully, receive Bachelor of Science degree and the title “Statistician”.

Level of Qualification

First Cycle

Specific Admission Requirements

High School Diploma Placement through a centralized national university placement examination

Specific Arrangements For Recognition Of Prior Learning (Formal, Non-Formal and Informal)

To complete a secondary/high school program

Qualification Requirements and Regulations

The graduates of secondary/high schools join the department with the mathematical grade taken in the national university placement examination.

Profile of The Programme

Undergraduate education is given in two ways; Day time classes and Evening time classes. The undergraduate program of instruction is four years. The courses offered are divided into two semesters. Required courses are indicated in the curriculum of the faculty. During the first two semesters of the undergraduate program, the department offers a variety of general courses to prepare students for more technical and specialized work to be undertaken in the third and fourth years. The curriculum for the last two years is designed to provide the student with a more advanced knowledge of statistics as well as a training in a number of applied fields.

Occupational Profiles of Graduates With Examples

The graduates can work as an experiment organizer in planning units making quantitative analysis, in insurance companies, in various sectors in industry, in quality control departments, in stage of technology improvement, in research and consultancy companies, in the sectors about agriculture and industrial design. Therefore, they can employ in many public institutes in which evaluations are made such as State Planning Organization, Ministry of Industrial and Commerce, State Institute of Statistics, Institute of Standards, Employment Agency, in banks and in individual companies.

Access to Further Studies

The graduates can apply and join the graduate program if they fulfill the necessary conditions announced by the Graduate School of Natural and Applied Sciences.

Examination Regulations, Assessment and Grading

Students must attend classes, practices and examinations. Students’ attendance is followed by the Instructor concerned. Students’ attendance is followed by the Instructor concerned. For almost all required and technical elective courses there are written examinations, in which most cases student must solve selected problems by calculation. During each semester is given one midterm examination, final ,a make-up examination. The semester grades are determined by adding forty percent of the midterm exam and sixty percent of the final exam grade. If the final exam and the semester grades exceed 60 or be equal to 60 , the student will be successful from this course.

Graduation Requirements

The students who complete the four year undergraduate program successfully receive undergraduate diploma.

Mode of Study (Full-Time, Part-Time, E-Learning )

Full Time

Address, Programme Director or Equivalent

Prof. Dr. Yüksel Terzi Ondokuz Mayıs University, Faculty of Science and Art, Department of Statistics 55139 Kurupelit Atakum / Samsun Turkey
phone: +90 362 312 19 19-5215 e-mail: yukselt@omu.edu.tr

Facilities

Two laboratory of 40 and 18 computers for graduate students and a seminar room.

Programme Outcomes

  1. To gain ability of using statistical information.
  2. To gain ability of using statistical information.
  3. To gain ability of collecting, organizing, analyzing of the data and interpretation of the obtained results.
  4. To gain ability of continuity of development profession.
  5. To gain ability of designing and analyzing an experiment and interpreting the results.
  6. To gain ability of communicating effectively with team members and customers in work ethic as verbal and written.
  7. To gain ability of having professional and ethical responsibility.
  8. To gain ability of analytical thinking.
  9. To gain ability of having fundamental knowledge in Economics, Information Management and Social Science.
  10. To gain ability of performing individually and with teams in interdisciplinary.
  11. To gain ability of programming to solve statistical problems and using algorithms and statistical packages.
  12. To gain ability of the use of modern tools, skills and techniques which are required for scientific researches.
  13. Yeni Program Çıktısı
  14. To gain ability of determining, formulizing and solving problems which are relatively mathematical but generally statistical.
  15. To gain ability of determining the accurate statistical modeling to solve the problems which can be encountered in real life and practicing.

Course Structure Diagram with Credits

T:Theoretical,P:Practice, L:Laboratory
Semester 1
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
ATİ101Principles Of Ataturk And History Of Revolution-I Zorunlu 2 0 0 2.0 2.0
İST151 Ortak 1 2 0 2.0 6.0
İST153 Ortak 2 2 0 3.0 5.0
İST155 Ortak 3 0 0 3.0 5.0
İST157 Ortak 2 2 0 3.0 7.0
SSD-1 SDG 1 0 0 1.0 1.0
TDİ101Turkish Language-I Zorunlu 2 0 0 2.0 2.0
YD101Foreign Language-I SDG 2 0 0 2.0 2.0
Total 15 6 0 18.0 30.0
Semester 2
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
ATİ102Principles Of Ataturk And History Of Revolution-II Zorunlu 2 0 0 2.0 2.0
İST152 Ortak 1 2 0 2.0 6.0
İST154 Ortak 2 2 0 3.0 5.0
İST156 Ortak 3 0 0 3.0 5.0
İST158 Ortak 2 2 0 3.0 7.0
SSD-2 SDG 1 0 0 1.0 1.0
TDİ102Turkish Language-II Zorunlu 2 0 0 2.0 2.0
YD102Foreign Language II SDG 2 0 0 2.0 2.0
Total 15 6 0 18.0 30.0
Semester 3
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-33.Elective Course SDG 2 0 0 2.0 4.0
İST251 Ortak 3 0 0 3.0 5.0
İST253 Ortak 1 2 0 2.0 5.0
İST255 Ortak 2 2 0 3.0 5.0
İST257 Ortak 2 2 0 3.0 5.0
İST259 Ortak 2 2 0 3.0 6.0
Total 12 8 0 16.0 30.0
Semester 4
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-44.Elective Course SDG 2 0 0 2.0 4.0
İST252 Ortak 1 2 0 2.0 6.0
İST254 Ortak 1 2 0 2.0 5.0
İST256 Ortak 4 0 0 4.0 5.0
İST258 Ortak 1 2 0 2.0 5.0
İST260 Ortak 2 0 0 2.0 5.0
Total 11 6 0 14.0 30.0
Semester 5
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-55.Elective Course SDG 9 0 0 9.0 9.0
İSS-5A SDG 2 0 0 2.0 3.0
İST351 Ortak 2 2 0 3.0 6.0
İST353 Ortak 2 2 0 3.0 6.0
İST355 Ortak 2 2 0 3.0 6.0
Total 17 6 0 20.0 30.0
Semester 6
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-66.Elective Course SDG 12 0 0 12.0 12.0
İST352 Ortak 2 2 0 3.0 6.0
İST354 Ortak 1 2 0 2.0 6.0
İST356 Ortak 1 2 0 2.0 6.0
Total 16 6 0 19.0 30.0
Semester 7
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-77.Elective Course SDG 3 0 0 3.0 4.0
İSS-7A SDG 2 0 0 2.0 4.0
İST451 Ortak 2 2 0 3.0 5.0
İST453 Ortak 2 2 0 3.0 5.0
İST455 Ortak 2 2 0 3.0 4.0
İST457 Ortak 1 2 0 2.0 5.0
İST459 Ortak 2 0 0 2.0 3.0
Total 14 8 0 18.0 30.0
Semester 8
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-88.Elective Course SDG 9 0 0 9.0 15.0
İSS-8A SDG 2 0 0 2.0 3.0
İST482 Ortak 3 0 0 3.0 5.0
İST484 Ortak 0 2 0 1.0 5.0
İST486 Ortak 2 0 0 2.0 2.0
Total 16 2 0 17.0 30.0

Seçmeli Ders Grupları (SDG)

SSD-1 /
Course Unit Code Course Unit Title T P L Credit ECTS
SSD121 Mediterranean World and Civilizations in Old Age 1 0 0 1.0 1.0
SSD123 Philosophy for All 1 0 0 1.0 1.0
SSD125 First aid 1 0 0 1.0 1.0
SSD127 Marketing Management 1 0 0 1.0 1.0
YD101 / Foreign Language-I
Course Unit Code Course Unit Title T P L Credit ECTS
YDA101 German-I 2 0 0 2.0 0.0
YDF101 French-I 2 0 0 2.0 0.0
YDİ101 English I 2 0 0 2.0 2.0
SSD-2 /
Course Unit Code Course Unit Title T P L Credit ECTS
SSD122 Traditional Turkish Handicrafts 1 0 0 1.0 1.0
SSD124 Cultural Heritage 1 0 0 1.0 1.0
SSD126 Organizational Behavior 1 0 0 1.0 1.0
SSD128 Applied Ethics 1 0 0 1.0 1.0
YD102 / Foreign Language II
Course Unit Code Course Unit Title T P L Credit ECTS
YDA102 German-II 2 0 0 2.0 0.0
YDF102 French-II 2 0 0 2.0 0.0
YDİ102 English II 2 0 0 2.0 2.0
İSS-3 / 3.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST261 İşletme 2 0 0 2.0 4.0
İST263 Yabancı Dilde Yazma 2 0 0 2.0 4.0
İST265 İstatistiksel Faaliyetlerin Sınıflandırılması 2 0 0 2.0 4.0
İST267 Bilimsel Düşünce ve İstatistik 2 0 0 2.0 4.0
İSS-4 / 4.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST262 Doğrusal Olmayan Programlamaya Giriş 2 0 0 2.0 4.0
İST264 Yabancı Dilde Konuşma 2 0 0 2.0 4.0
İST266 Finansal Okuryazarlık 2 0 0 2.0 4.0
İST268 Bilgisayar Programlamaya Giriş II 2 0 0 2.0 4.0
İSS-5 / 5.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST357 Varyans Analizi 3 0 0 3.0 3.0
İST359 İstatistiksel Grafik Yöntemleri 3 0 0 3.0 3.0
İST361 Mesleki Yabancı Dil I 3 0 0 3.0 3.0
İST363 Resmi İstatistikler 3 0 0 3.0 3.0
İST365 Fark Denklemleri 3 0 0 3.0 3.0
İST367 Yapay Zeka Yöntemleri 3 0 0 3.0 3.0
İST369 R Programı ile İstatistiksel Analiz 3 0 0 3.0 3.0
İST371 Görsel Programlama 3 0 0 3.0 3.0
İST373 Psikolojiye Giriş 3 0 0 3.0 3.0
İST375 Oyunlar Teorisi 3 0 0 3.0 3.0
İST377 Simülasyon 3 0 0 3.0 3.0
İST379 Diferansiyel Denklemler 3 0 0 3.0 3.0
İSS-5A /
Course Unit Code Course Unit Title T P L Credit ECTS
İST381 Genel Muhasebe 2 0 0 2.0 3.0
İST383 Etkili İletişim 2 0 0 2.0 3.0
İST385 Sıra İstatistikleri 2 0 0 2.0 3.0
İST387 Nesne Tabanlı Programlama 2 0 0 2.0 3.0
İST389 Hedef Programlama 2 0 0 2.0 3.0
İSS-6 / 6.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST358 Biyoistatistik 3 0 0 3.0 3.0
İST360 Mesleki Yabancı Dil II 3 0 0 3.0 3.0
İST362 İstatistik Karar Teorisi 3 0 0 3.0 3.0
İST364 Aktüerya 3 0 0 3.0 3.0
İST366 Web Programlama 3 0 0 3.0 3.0
İST368 Anket Düzenleme 3 0 0 3.0 3.0
İST370 Demografi 3 0 0 3.0 3.0
İST372 Ekonometrik Modeller 3 0 0 3.0 3.0
İST374 Veri Analizi 3 0 0 3.0 3.0
İST376 Veri Madenciliği 3 0 0 3.0 3.0
İST378 Örnekleme II 3 0 0 3.0 3.0
İST380 Finansal Matematik 3 0 0 3.0 3.0
İST382 Sunum Teknikleri 3 0 0 3.0 3.0
İST384 Doğrusal Olmayan Regresyon Çözümlemesi 3 0 0 3.0 3.0
İST386 Kestirim Yöntemleri 3 0 0 3.0 3.0
İST388 Bilim Tarihi 3 0 0 3.0 3.0
İST390 Staj 0 0 0 0.0 8.0
İSS-7 / 7.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST471 İstatistik Paket Programları II 3 0 0 3.0 4.0
İST473 Bulanık Mantık 3 0 0 3.0 4.0
İST475 Ekonometrik Zaman Serisi Analizi 3 0 0 3.0 4.0
İST477 Kovaryans Analizi 3 0 0 3.0 4.0
İST479 İleri Ofis Uygulamaları 3 0 0 3.0 4.0
İSS-7A /
Course Unit Code Course Unit Title T P L Credit ECTS
İST461 Lojistik Regresyon Analizi 2 0 0 2.0 4.0
İST463 Mikro İktisat 2 0 0 2.0 4.0
İST465 Risk Analizi 2 0 0 2.0 4.0
İST467 Bayesci İstatistik I 2 0 0 2.0 4.0
İST469 Sosyolojiye Giriş 2 0 0 2.0 4.0
İSS-8 / 8.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST422 Quality Control 3 0 0 3.0 5.0
İST424 Macroeconomics 3 0 0 3.0 5.0
İST426 Reliability Analysis 3 0 0 3.0 5.0
İST428 Generalized Linear Models 3 0 0 3.0 5.0
İST430 Bayesian Statistics-II 3 0 0 3.0 5.0
İST432 Graphical Models 3 0 0 3.0 5.0
İST434 Quequeing System Theory 3 0 0 3.0 5.0
İST436 Categoric Data Analysis 3 0 0 3.0 5.0
İST438 Fuzzy Statistics 3 0 0 3.0 5.0
İST442 Residual Analysis 3 0 0 3.0 5.0
İST444 Integer Programming 3 0 0 3.0 5.0
İST450 Multivariate Statistics-II 3 0 0 3.0 5.0
İST452 Stochastic Processes-II 3 0 0 3.0 5.0
İST454 Statistical Experiment Design-II 3 0 0 3.0 5.0
İST456 Açıklayıcı Veri Analizi 3 0 0 3.0 5.0
İST458 Kurumsal Kaynak Planlaması 3 0 0 3.0 5.0
İST460 Kriptoloji 3 0 0 3.0 5.0
İST462 Büyük Veri 3 0 0 3.0 5.0
İST464 Bulut Bilişimi 3 0 0 3.0 5.0
İST466 Kanonik Korelasyon Analizi 3 0 0 3.0 5.0
İST468 Makine Öğrenmesi 3 0 0 3.0 5.0
İSS-8A /
Course Unit Code Course Unit Title T P L Credit ECTS
İST470 Veri Zarflama Analizine Giriş 2 0 0 2.0 3.0
İST472 Dinamik Programlama 2 0 0 2.0 3.0
İST474 SAS Programı ile İstatistik 2 0 0 2.0 3.0
İST476 Pazar Araştırma Teknikleri 2 0 0 2.0 3.0
İST478 Tekrarlanan Ölçümlü Deneyler 2 0 0 2.0 3.0