Faculty of Science and Letters - Department of Statistics

Ondokuz Mayıs University Science and Art Faculty, Department of Statistics has begun undergraduate education between 1982 and 1983. Approximately 600 students in the department are educated by a scientific committee which consists of 23 members such as 1 professor, 6 Assoc professor, 5 assistant professor and 12 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.

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

First Cycle

High School Diploma Placement through a centralized national university placement examination

To complete a secondary/high school program

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

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.

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.

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.

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.

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

Full Time

Prof. Dr. Faruk Alpaslan Ondokuz Mayıs University, Faculty of Science and Art, Department of Statistics 55139 Kurupelit Atakum / Samsun Turkey

phone: +90 362 312 19 19 e-mail: falpas@omu.edu.tr

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

- To gain ability of using statistical information.
- To gain ability of collecting, organizing, analyzing of the data and interpretation of the obtained results.
- To gain ability of continuity of development profession.
- To gain ability of analytical thinking.
- To gain ability of the use of modern tools, skills and techniques which are required for scientific researches.
- To gain ability of determining the accurate statistical modeling to solve the problems which can be encountered in real life and practicing.
- To gain ability of communicating effectively with team members and customers in work ethic as verbal and written.
- To gain ability of having professional and ethical responsibility.
- To gain ability of communicating effectively.
- To gain ability of programming to solve statistical problems and using algorithms and statistical packages.
- To gain ability of generating mathematical models for statistical phenomena.
- To gain ability of designing and analyzing an experiment and interpreting the results.
- To gain ability of having fundamental knowledge in Economics, Information Management and Social Science.
- To gain ability of performing individually and with teams in interdisciplinary.
- To gain ability of determining, formulizing and solving problems which are relatively mathematical but generally statistical.
- To gain ability of using statistical information.
- To gain ability of collecting, organizing, analyzing of the data and interpretation of the obtained results.
- To gain ability of generating mathematical models for statistical phenomena.
- To gain ability of determining the accurate statistical modeling to solve the problems which can be encountered in real life and practicing.
- To gain ability of having fundamental knowledge in Economics, Information Management and Social Science.
- To gain ability of performing individually and with teams in interdisciplinary.
- To gain ability of determining, formulizing and solving problems which are relatively mathematical but generally statistical.
- To gain ability of communicating effectively.
- To gain ability of the use of modern tools, skills and techniques which are required for scientific researches.
- To gain ability of programming to solve statistical problems and using algorithms and statistical packages.
- To gain ability of designing and analyzing an experiment and interpreting the results.
- To gain ability of communicating effectively with team members and customers in work ethic as verbal and written.
- To gain ability of having professional and ethical responsibility.
- To gain ability of analytical thinking.
- To gain ability of continuity of development profession.

Semester 1 | |||||||

Course Unit Code | Course Unit Title | Type of Course | T | P | L | Credit | ECTS |
---|---|---|---|---|---|---|---|

ATİ101 | Principles Of Ataturk And History Of Revolution-I | Zorunlu | 2 | 0 | 0 | 2.0 | 1.0 |

İST101 | Statistical Information Systems-I | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

İST103 | Introduction To Probability-I | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

İST105 | Basic Statistics-I | Ortak | 3 | 0 | 0 | 3.0 | 5.0 |

İST109 | Linear Algebra-I | Ortak | 3 | 0 | 0 | 3.0 | 5.0 |

İST191 | Mathematics-I | Ortak | 4 | 0 | 0 | 4.0 | 6.0 |

SSD | The Non-Elective | SDG | 0 | 0 | 0 | 0.0 | 0.0 |

TDİ101 | Turkish Language-I | Zorunlu | 2 | 0 | 0 | 2.0 | 1.0 |

YD101 | Foreign 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 |
---|---|---|---|---|---|---|---|

ATİ102 | Principles Of Ataturk And History Of Revolution-II | Zorunlu | 2 | 0 | 0 | 2.0 | 1.0 |

İST102 | Statistical Information Systems-II | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

İST104 | Introduction To Probability-II | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

İST106 | Basic Statistics-II | Ortak | 3 | 0 | 0 | 3.0 | 5.0 |

İST110 | Linear Algebra-II | Ortak | 3 | 0 | 0 | 3.0 | 5.0 |

İST192 | Mathematics-II | Ortak | 4 | 0 | 0 | 4.0 | 6.0 |

SSD | The Non-Elective | SDG | 0 | 0 | 0 | 0.0 | 0.0 |

TDİ102 | Turkish Language-II | Zorunlu | 2 | 0 | 0 | 2.0 | 1.0 |

YD102 | Foreign 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-3 | 3.Elective Course | SDG | 1 | 2 | 0 | 2.0 | 4.0 |

İST201 | Economics-I | Ortak | 4 | 0 | 0 | 4.0 | 5.0 |

İST203 | Advanced Mathematics For Statistics-I | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

İST205 | Mathematical Statistics | Ortak | 2 | 2 | 0 | 3.0 | 6.0 |

İST207 | Linear Programming | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

İST209 | Project 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-4 | 4.Elective Course | SDG | 2 | 0 | 0 | 2.0 | 4.0 |

İST202 | Economics-II | Ortak | 4 | 0 | 0 | 4.0 | 5.0 |

İST204 | Advanced Mathematics For Statistics-II | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

İST206 | Statistics Theory | Ortak | 2 | 0 | 0 | 2.0 | 5.0 |

İST208 | Numerical Analysis | Ortak | 2 | 2 | 0 | 3.0 | 6.0 |

İST210 | Optimization 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-5 | 5.Elective Course | SDG | 9 | 2 | 0 | 10.0 | 12.0 |

İST301 | Sampling-I | Ortak | 2 | 2 | 0 | 3.0 | 6.0 |

İST303 | Hypothesis Tests | Ortak | 2 | 2 | 0 | 3.0 | 6.0 |

İST305 | Regression 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-6 | 6.Elective Course | SDG | 9 | 2 | 0 | 10.0 | 12.0 |

İST302 | Time Series Analysis | Ortak | 2 | 2 | 0 | 3.0 | 6.0 |

İST304 | Statistical Package Programmes-I | Ortak | 2 | 2 | 0 | 3.0 | 6.0 |

İST306 | Linear 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-7 | 7.Elective Course | SDG | 5 | 0 | 0 | 5.0 | 8.0 |

İST401 | Operational Research-I | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

İST403 | Multivariate Statistics-I | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

İST405 | Statistical Experiment Design-I | Ortak | 2 | 2 | 0 | 3.0 | 4.0 |

İST407 | Stochastic Processes-I | Ortak | 3 | 0 | 0 | 3.0 | 5.0 |

İST409 | Research 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-8 | 8.Elective Course | SDG | 12 | 0 | 0 | 12.0 | 20.0 |

İST402 | Non-Parametric Statistical Methods | Ortak | 3 | 0 | 0 | 3.0 | 5.0 |

İST404 | Research Project | Ortak | 2 | 2 | 0 | 3.0 | 5.0 |

Total |
17 |
2 |
0 |
18.0 |
30.0 |

SSD / The Non-Elective | |||||||

Course Unit Code | Course Unit Title | T | P | L | Credit | ECTS |
---|

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 |