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

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 1.0
İST101Statistical Information Systems-I Ortak 2 2 0 3.0 5.0
İST103Introduction To Probability-I Ortak 2 2 0 3.0 5.0
İST105Basic Statistics-I Ortak 3 0 0 3.0 5.0
İST109Linear Algebra-I Ortak 3 0 0 3.0 5.0
İST191Mathematics-I Ortak 4 0 0 4.0 6.0
TDİ101Turkish Language-I Zorunlu 2 0 0 2.0 1.0
YD101Foreign Language-I SDG 2 0 0 2.0 2.0
Total 20 4 0 22.0 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 1.0
İST102Statistical Information Systems-II Ortak 2 2 0 3.0 5.0
İST104Introduction To Probability-II Ortak 2 2 0 3.0 5.0
İST106Basic Statistics-II Ortak 3 0 0 3.0 5.0
İST110Linear Algebra-II Ortak 3 0 0 3.0 5.0
İST192Mathematics-II Ortak 4 0 0 4.0 6.0
TDİ102Turkish Language-II Zorunlu 2 0 0 2.0 1.0
YD102Foreign Language II SDG 2 0 0 2.0 2.0
Total 20 4 0 22.0 30.0
Semester 3
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-33.Elective Course SDG 1 2 0 2.0 4.0
İST201Economics-I Ortak 4 0 0 4.0 5.0
İST203Advanced Mathematics For Statistics-I Ortak 2 2 0 3.0 5.0
İST205Mathematical Statistics Ortak 2 2 0 3.0 6.0
İST207Linear Programming Ortak 2 2 0 3.0 5.0
İST209Project Assessment Ortak 2 2 0 3.0 5.0
Total 13 10 0 18.0 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
İST202Economics-II Ortak 4 0 0 4.0 5.0
İST204Advanced Mathematics For Statistics-II Ortak 2 2 0 3.0 5.0
İST206Statistics Theory Ortak 2 0 0 2.0 5.0
İST208Numerical Analysis Ortak 2 2 0 3.0 6.0
İST210Optimization Techniques Ortak 3 0 0 3.0 5.0
Total 15 4 0 17.0 30.0
Semester 5
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-55.Elective Course SDG 9 2 0 10.0 12.0
İST301Sampling-I Ortak 2 2 0 3.0 6.0
İST303Hypothesis Tests Ortak 2 2 0 3.0 6.0
İST305Regression Analysis Ortak 2 2 0 3.0 6.0
Total 15 8 0 19.0 30.0
Semester 6
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-66.Elective Course SDG 9 2 0 10.0 12.0
İST302Time Series Analysis Ortak 2 2 0 3.0 6.0
İST304Statistical Package Programmes-I Ortak 2 2 0 3.0 6.0
İST306Linear Models Ortak 2 2 0 3.0 6.0
Total 15 8 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 5 0 0 5.0 8.0
İST401Operational Research-I Ortak 2 2 0 3.0 5.0
İST403Multivariate Statistics-I Ortak 2 2 0 3.0 5.0
İST405Statistical Experiment Design-I Ortak 2 2 0 3.0 4.0
İST407Stochastic Processes-I Ortak 3 0 0 3.0 5.0
İST409Research Methods Ortak 1 2 0 2.0 3.0
Total 15 8 0 19.0 30.0
Semester 8
Course Unit Code Course Unit Title Type of Course T P L Credit ECTS
İSS-88.Elective Course SDG 12 0 0 12.0 20.0
İST402Non-Parametric Statistical Methods Ortak 3 0 0 3.0 5.0
İST404Research Project Ortak 2 2 0 3.0 5.0
Total 17 2 0 18.0 30.0

Seçmeli Ders Grupları (SDG)

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
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
İST221 Computer Programming-I 1 2 0 2.0 4.0
İST223 Classification Of Statistical Activities 1 2 0 2.0 4.0
İST225 Indexes 1 2 0 2.0 0.0
İSS-4 / 4.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST222 Computer Programming-II 2 0 0 2.0 4.0
İST224 Nonlinear Programming 2 0 0 2.0 4.0
İST226 Transportation Models 2 0 0 2.0 0.0
İSS-5 / 5.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST321 Variance Analysis 3 0 0 3.0 3.0
İST323 Statistical Graphic Methods 3 0 0 3.0 3.0
İST325 Database 3 0 0 3.0 3.0
İST327 Vocational Foreign Language-I 3 0 0 3.0 3.0
İST329 Official Statistics 3 0 0 3.0 3.0
İST331 Differential Equations 3 0 0 3.0 0.0
İST333 Goal Programming 2 0 0 2.0 3.0
İST335 General Accounting 2 0 0 2.0 0.0
İST337 Effective Communication 2 0 0 2.0 3.0
İST339 Theory Of Games 1 2 0 2.0 3.0
İST341 Simulation Techniques 1 2 0 2.0 3.0
İST343 Artificial Intelligence Techniques 1 2 0 2.0 3.0
İST345 Order Statistics 2 0 0 2.0 3.0
İSS-6 / 6.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST322 Statistical Data Mining 2 2 0 3.0 0.0
İST324 Non-Linear Regression Analysis 3 0 0 3.0 3.0
İST326 Biostatistics 3 0 0 3.0 3.0
İST328 Vocational Foreign Language-II 3 0 0 3.0 3.0
İST330 Statistical Decision Theory 3 0 0 3.0 3.0
İST332 Actuary 3 0 0 3.0 3.0
İST334 Data Analysis 2 2 0 3.0 0.0
İST336 Survey Development 2 0 0 2.0 3.0
İST338 History Of Science 2 0 0 2.0 0.0
İST340 Demographics 2 0 0 2.0 3.0
İST342 Sampling-II 1 2 0 2.0 3.0
İST344 Econometric Models 1 2 0 2.0 3.0
İST346 Forecasting Methods 1 2 0 2.0 3.0
SKD002 Entrepreneurship 2 2 0 3.0 3.0
İSS-7 / 7.Elective Course
Course Unit Code Course Unit Title T P L Credit ECTS
İST421 Logistic Regression Analysis 2 0 0 2.0 4.0
İST423 Microeconomics 2 0 0 2.0 0.0
İST425 Risk Analysis 2 0 0 2.0 4.0
İST427 Web-Based Information Systems 2 0 0 2.0 0.0
İST429 Bayesian Statistics-I 2 0 0 2.0 4.0
İST431 Statistical Package Programmes-II 3 0 0 3.0 4.0
İST433 Fuzzy Logic 3 0 0 3.0 4.0
İST435 Econometric Time Series Analysis 3 0 0 3.0 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 0.0
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 0.0
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
İST440 Quantitative Correlation And Multivariate Regression 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
İST446 Spatial Statistics 3 0 0 3.0 0.0
İST448 Operational Research-II 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