DEGREE PROGRAMMES

: Statistics

General Description

History

Department of Statistics founded within College of Arts and Science has started undergraduate and Graduate education in 1994-1995. During 2007-2008, department has started evening under graduate education. The department offers undergraduate, lateral branch, preparation to MSc, MSc, and PhD programs. 30% of the courses offered in undergraduate program are in english. The undergraduate courses are composed of 70% compulsory and 30% elective courses.

Qualification Awarded

Statistics, Bachelors Degree (B.Sc.)

Level of Qualification

First Cycle (Bachelor's Degree)

Specific Admission Requirements

To have high school diploma, to be placed through a nation-wide Student Selection Examination, to be successful in DEU School of Foreign Languages English Proficiency Test (minimum 70) or TOEFL (minimum 79) or equivalent, or to be successful in the English Preparatory Year program of DEU School of Foreign Languages.

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

Item 12 of Dokuz Eylul University Associate and Bachelors Degree Education and Exam Regulations (dated 12 August 2011 published on the official gazette number 28023) is applied.
(1) The lateral transfers to the university are executed according to the principals that are determined by the Senate according to the Regulations on the Basis of Transfers between Institutions at Upper Secondary Education and Undergraduate level, Double Major, Minor and Transfer of Credits between Institutions published on official gazette dated 24/4/2010 numbered 27561.
(2) On vertical transfers, the regulations on the continuation of the graduates of Vocational School and Open Learning Secondary Education Program Graduates Bachelors Degree Education published on official gazette on 19/2/202 dated 24676 are applied.
(3) On transfers of students that have not or can not complete their bachelors degree education to the Vocational Schools, the regulations on awarding Upper Secondary Eduation Degree or adaptation to Vocational Schools for the students who have not completed or can not complete Bachelors Degree Education published on official gazette dated 18/3/1989 dated 20112 are applied.
See the following link for more information:
http://www.deu.edu.tr/DEUWeb/Icerik/Icerik.php KOD=5683

Qualification Requirements and Regulations

Education is total 4 years with 2 semesters every year (excluding 1 year of prep class)
Grading is done on a 4 point system.
Students have to succeed in all courses. Evaluation of success on class : See: DEU Faulty of Science Education and Examination Application Rules, Items 25-27
20 (twenty) work days of (4 weeks) internship work
3rd grade students have to take at least 18 credits worth of elective courses and at least 4 credits of elective courses from the faculty elective course pool in a year.
4th grade students have to take at least 12 credits worth of elective courses and at least 4 credits of elective courses from the faculty elective course pool in a year.
4th grade students must successfully complete the graduation project that lasts one year.
Students have to complete at least 240 ECTS credits.
Minimum graduation grade is 2.00 / 4.00

Profile of the Programme

The aim of the undergraduate program of Department of Statistics is to equip students with theoretical and practical knowledge of statistics and assets that are required by decision makers having analytical and critical thinking skills. The program also aims to graduate students; who are aware of their responsibilities toward to the community and to their work; who can follow the developments on science and technology, and can renew the knowledge of statistics with the consciousness about lifelong learning.
Department offers Probability and Statistics, Calculus, Computational tools, Mathematical statistics, Inference and Computer programming courses during first two years. For the third year, the courses are mostly elective except Regression analysis, Linear programming, Financial Mathematics and Statistical Design of Experiments. During their fourth year students have to succeed in Multivariate Analysis, Nonparametric statistical Methods, Categorical Data Analysis and Time series Analysis courses. Other courses are elective. Department also offers lateral branch program. Moreover, we have bilateral agreement with various universities under ERASMUS and FARAMI programs. There are 18 faculty and 15 research assistant in the department.

Key Learning Outcomes

1   To have adequate background on theoretical and applied statistics, operations research, risk analysis, actuarial sciences and also on the fields where statistics is applied such as biostatistics, finance, optimization, data mining and so on.
2   To have knowledge of mathematics, current statistics software and computer programming at the level that is required for statistics.
3   To be able to define problems, collect necessary data, analyze and interpret them and to find alternative solutions based on scientific methods used in the field of statistics.
4   To be able to take responsibility as an individual or as an interdisciplinary team member with creative and broad viewpoint, to work efficiently and to use time effectively.
5   To be able to plan and supervise projects with the ability of analytical thinking.
6   To be able to survey the literature, assess the acquired knowledge critically and use databases and other data sources.
7   To be able to follow developments on science and technology and to renew the knowledge of statistics with the consciousness about lifelong learning
8   To inform authorities and institutions in the area of statistics; to express ideas and proposals towards solutions of problems verbally and in writing.
9   To be able to introduce and apply projects in terms of civic engagement.
10   To be able to follow the current news on statistics and to communicate with their colleagues through English language.
11   To be able to use computer software and information-communication technologies at the level that is required for statistics.
12   To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way.
13   To set social, scientific and ethical values throughout the process of collecting, evaluating, and interpreting data on the field of statistics.
14   To have enough awareness about social equality, quality culture, protection of cultural values, environmental protection, occupational health and safety by being conscious.

Occupational Profiles of Graduates with Examples

Our graduates can be employed at Research and Planning departments of Public and Private Organizations, At Academia, At Finance and Insurance Companies as an expert or manager.

Access to Further Studies

May apply to second cycle programmes.

Course Structure Diagram with Credits

The program composed of 39 Core and 14 elective courses. We have total 38 elective courses 19 of which are for Fall semester and the rest for the Spring semester. Moreover, there are 30 different faculty elective courses available for whole faculty of science students. The ratio of the core courses to the electives in our program is 182/58 ECTS. 8 ECTS of these courses have to be from faculty electives.
T: Theoretical P: Practice L: Laboratory
B: Spring Semester G: Fall Semester H: Full Year
1 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 ATA 1001 PRINCIPLES OF ATATURK AND HISTORY OF THE TURKISH REVOLUTION I REQUIRED 2 0 0 2
G 2 FSH 0001 COMMUNICATION SKILLS REQUIRED 2 0 0 2
G 3 İST 1013 PROBABILITY I REQUIRED 2 0 0 4
G 4 İST 1015 STATISTIC I REQUIRED 4 0 0 7
G 5 İST 1051 COMPUTATIONAL TOOLS FOR STATISTICS I REQUIRED 2 0 0 4
G 6 İST 1093 TECHNICAL ENGLISH I REQUIRED 2 0 0 4
G 7 MAT 1001 CALCULUS I REQUIRED 4 0 0 5
G 8 TDL 1001 TURKISH LANGUAGE I REQUIRED 2 0 0 2
G 0 - ELECTIVE COURSE ELECTIVE - - - 0
TOTAL:   30
 
2. Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 ATA 1002 PRINCIPLES OF ATATURK AND HISTORY OF THE TURKISH REVOLUTION II REQUIRED 2 0 0 2
B 2 FSH 0002 PROFESSIONAL VALUES AND ETHICS REQUIRED 2 0 0 2
B 3 İST 1014 PROBABILITY II REQUIRED 2 0 0 4
B 4 İST 1016 STATISTICS II REQUIRED 4 0 0 7
B 5 İST 1052 COMPUTATIONAL TOOLS FOR STATISTIS II REQUIRED 2 0 0 3
B 6 İST 1094 TECHNICAL ENGLISH II REQUIRED 2 0 0 3
B 7 MAT 1002 CALCULUS II REQUIRED 4 0 0 5
B 8 TDL 1002 TURKISH LANGUAGE II REQUIRED 2 0 0 2
B 0 - ELECTIVE COURSE ELECTIVE - - - 2
TOTAL:   30
 
2 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 BDE 1003 PHYSICAL EDUCATION ELECTIVE 2 0 0 2
B 2 GSH 1003 FOLK DANCING ELECTIVE 2 0 0 2
B 3 GSM 1003 MUSIC ELECTIVE 2 0 0 2
B 4 GSR 1003 PAINTING ELECTIVE 2 0 0 2
 
3 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 BİL 2205 COMPUTER PROGRAMMING I REQUIRED 2 2 0 6
G 2 İST 2015 PROBLEM BASED LEARNING I REQUIRED 2 0 0 4
G 3 İST 2017 MATHEMATICAL STATISTICS REQUIRED 4 0 0 7
G 4 İST 2065 STATISTICAL QUALITY CONTROL REQUIRED 2 2 0 6
G 5 MAT 2001 INTRODUCTION TO LINEAR ALGEBRA REQUIRED 4 0 0 7
G 0 - ELECTIVE COURSE ELECTIVE - - - 0
TOTAL:   30
 
4. Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 İST 2016 PROBLEM BASED LEARNING II REQUIRED 2 0 0 4
B 2 İST 2018 STATISTICAL INFERENCE REQUIRED 4 0 0 7
B 3 İST 2038 SAMPLING METHODS REQUIRED 2 2 0 7
B 4 İST 2050 R STATISTICAL PROGRAMMING LANGUAGE REQUIRED 2 2 0 6
B 5 MAT 2026 LINEAR ALGEBRA REQUIRED 4 0 0 6
B 0 - ELECTIVE COURSE ELECTIVE - - - 0
TOTAL:   30
 
5 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 İST 3031 REGRESSION ANALYSIS REQUIRED 4 0 0 6
G 2 İST 3033 SURVEY DESIGN AND EXPERIMENT REQUIRED 2 2 0 5
G 3 İST 3075 LINEAR PROGRAMMING REQUIRED 2 2 0 5
G 0 - ELECTIVE COURSE ELECTIVE - - - 14
TOTAL:   30
 
5 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 BİL 3203 DATABASE MANAGEMENT ELECTIVE 3 0 0 5
G 2 İST 3103 GUIDED GROUP STUDY I ELECTIVE 3 0 0 5
G 3 İST 3113 EVERYDAY PROBABILITY AND STATISTICS ELECTIVE 3 0 0 5
G 4 İST 3119 ORDER STATISTICS AND ITS APPLICATIONS ELECTIVE 3 0 0 5
G 5 İST 3121 INTRODUCTION TO INFORMATION THEORY ELECTIVE 3 0 0 5
G 6 İST 3131 SIMULATION METHODS IN STATISTICS ELECTIVE 3 0 0 5
G 7 İST 3163 QUALITY ASSURANCE SYSTEMS AND CONTROL ELECTIVE 3 0 0 5
G 8 İST 3165 BUSINESS PROCESS IMPROVEMENT ELECTIVE 3 0 0 5
G 9 İST 3167 BIOSTATISTICS ELECTIVE 3 0 0 5
G 10 İST 3169 TOTAL QUALITY MANAGEMENET ELECTIVE 3 0 0 5
G 11 İST 3175 DECISION THEORY ELECTIVE 3 0 0 5
 
6. Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 İST 3002 FINANCIAL MATHEMATICS REQUIRED 2 2 0 5
B 2 İST 3032 STATISTICAL DESIGN OF EXPERIMENT REQUIRED 4 0 0 6
B 0 - ELECTIVE COURSE ELECTIVE - - - 19
TOTAL:   30
 
6 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 BİL 3120 COMPUTER PROGRAMMING II ELECTIVE 3 0 0 5
B 2 İST 3104 GUIDED GROUP STUDY II ELECTIVE 3 0 0 5
B 3 İST 3108 DATA ANALYSIS AND GRAPHICS USING R ELECTIVE 3 0 0 5
B 4 İST 3114 INTRODUCTION TO BAYESIAN STATISTICS ELECTIVE 3 0 0 5
B 5 İST 3132 SPECIAL TOPICS IN REGRESSION ANALYSIS ELECTIVE 3 0 0 5
B 6 İST 3134 ECONOMETRIC METHODS ELECTIVE 3 0 0 5
B 7 İST 3138 TIME SERIES REGRESSION ELECTIVE 3 0 0 5
B 8 İST 3162 SPECIAL METHODS IN QUALITY TECHNIQUES ELECTIVE 3 0 0 5
B 9 İST 3164 SIX SIGMA METHODOLOGY ELECTIVE 3 0 0 5
B 10 İST 3166 STATISTICAL METHODS IN CLINICAL TRIALS ELECTIVE 3 0 0 5
B 11 İST 3176 OPERATION RESEARCH ELECTIVE 3 0 0 5
B 12 İST 3178 INVENTORY MANAGEMENT ELECTIVE 3 0 0 5
 
7 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 İST 4001 GRADUATION PROJECT REQUIRED 2 0 0 8
G 2 İST 4035 NONPARAMETRIC STATISTICAL METHODS REQUIRED 2 2 0 6
G 3 İST 4037 MULTIVARIATE STATISTICAL ANALYSIS REQUIRED 2 2 0 6
G 0 - ELECTIVE COURSE ELECTIVE - - - 10
TOTAL:   30
 
7 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 İST 4113 STOCHASTIC PROCESSES ELECTIVE 3 0 0 5
G 2 İST 4117 INTRODUCTION TO ROBUST ESTIMATION AND INFERENCE ELECTIVE 3 0 0 5
G 3 İST 4141 FINANCIAL TIME SERIES ANALYSIS ELECTIVE 3 0 0 5
G 4 İST 4143 RELIABILITY AND LIFETIME ANALYSIS ELECTIVE 3 0 0 5
G 5 İST 4155 DATA MANAGEMENT IN STATISTICS WITH EXCEL ELECTIVE 3 0 0 5
G 6 İST 4161 ADVANCED STATISTICAL QUALITY CONTROL ELECTIVE 3 0 0 5
G 7 İST 4175 NETWORK ANALYSIS ELECTIVE 3 0 0 5
G 8 İST 4181 LIFE INSURANCE ELECTIVE 3 0 0 5
 
8. Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 İST 4036 CATEGORICAL DATA ANALYSIS REQUIRED 2 2 0 6
B 2 İST 4038 TIME SERIES ANALYSIS REQUIRED 2 2 0 6
B 3 İST 4100 INTERNSHIP SUMMER TRAINING 0 0 0 8
B 0 - ELECTIVE COURSE ELECTIVE - - - 10
TOTAL:   30
 
8 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 İST 4102 APPLICATION OF RESAMPLING METHODS WITH R ELECTIVE 3 0 0 5
B 2 İST 4112 PROBABILITY IN RISK ANALYSIS ELECTIVE 3 0 0 5
B 3 İST 4138 STATISTICAL METHODS IN DATA MINING ELECTIVE 3 0 0 5
B 4 İST 4154 WEB BASED SURVEY ELECTIVE 3 0 0 5
B 5 İST 4164 STATISTICAL PROCESS MONITORING AND CONTROL TECHNIQUES ELECTIVE 3 0 0 5
B 6 İST 4176 QUEUING THEORY ELECTIVE 3 0 0 5
B 7 İST 4182 INTRODUCTION TO ACTUARIAL MODELS ELECTIVE 3 0 0 5
B 8 İST 4184 STATISTICS IN RISK MANAGMENT ELECTIVE 3 0 0 5
B 9 İST 4186 ROBUST ANALYSIS OF VARIANCE METHODS ELECTIVE 3 0 0 5
 
 
FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
H 1 FSH 0003 PHILOSOPHY (HISTORY OF IDEAS) FACULTY ELECTIVE COURSE 2 0 0 2
H 2 FSH 0004 PHILOSOPHY OF SCIENCE FACULTY ELECTIVE COURSE 2 0 0 2
H 3 FSH 0005 INTRODUCTION TO PSYCHOLOGY FACULTY ELECTIVE COURSE 2 0 0 2
H 4 FSH 0006 HISTORY OF SCIENCE FACULTY ELECTIVE COURSE 2 0 0 2
H 5 FSH 0007 SOLUTION OF INTERPERSONAL CONFLICTS FACULTY ELECTIVE COURSE 2 0 0 2
H 6 FSH 0008 SCIENCE IN DAILY LIFE FACULTY ELECTIVE COURSE 2 0 0 2
H 7 FSH 0009 MULTISIDED THINKING FACULTY ELECTIVE COURSE 2 0 0 2
H 8 FSH 0010 INTERDISCIPLINARITY: SCIENCE, ART, GAME FACULTY ELECTIVE COURSE 2 0 0 2
H 9 FSH 0011 CREATIVITY, RD, İNNOVATION FACULTY ELECTIVE COURSE 2 0 0 2
H 10 FSH 0012 FUTURE PLANNING AND STRATEGY FACULTY ELECTIVE COURSE 2 0 0 2
H 11 FSH 0013 YOUTH ENTREPRENEURSHIP FACULTY ELECTIVE COURSE 2 0 0 2
H 12 FSH 0014 GEOPOLITICS OF TURKEY FACULTY ELECTIVE COURSE 2 0 0 2
H 13 FSH 0015 GLOBALIZATION AND THE NEW WORLD ORDER FACULTY ELECTIVE COURSE 2 0 0 2
H 14 FSH 0016 ANATOLIAN CIVILIZATIONS FACULTY ELECTIVE COURSE 2 0 0 2
H 15 FSH 0017 CULTURAL HISTORY OF THE AEGEAN FACULTY ELECTIVE COURSE 2 0 0 2
H 16 FSH 0018 MUSEUM AND ART FACULTY ELECTIVE COURSE 2 0 0 2
H 17 FSH 0019 DISCOURSE ANALYSIS FACULTY ELECTIVE COURSE 2 0 0 2
H 18 FSH 0020 MANAGEMENT FACULTY ELECTIVE COURSE 2 0 0 2
H 19 FSH 0021 ECONOMICS FACULTY ELECTIVE COURSE 2 0 0 2
H 20 FSH 0022 ACCOUNTING FACULTY ELECTIVE COURSE 2 0 0 2
H 21 FSH 0023 MARKETING FACULTY ELECTIVE COURSE 2 0 0 2
H 22 FSH 0024 BASIC LAW FACULTY ELECTIVE COURSE 2 0 0 2
H 23 FSH 0025 MONEY AND BANKING FACULTY ELECTIVE COURSE 2 0 0 2
H 24 FSH 0026 TOTAL QUALITY AND ACCREDITATION FACULTY ELECTIVE COURSE 2 0 0 2
H 25 FSH 0027 HISTORY OF TURKISH EDUCATION FACULTY ELECTIVE COURSE 2 0 0 2
H 26 FSH 0028 FLOWERING PLANTS, NATURE'S HEALING HANDS FACULTY ELECTIVE COURSE 2 0 0 2
H 27 FSH 0029 BASIC BANKING AND INFORMATION TECHNOLOGIES FACULTY ELECTIVE COURSE 2 0 0 2
H 28 FSH 0030 TECHNICAL ENGLISH FACULTY ELECTIVE COURSE 2 0 0 2
H 29 FSH 0031 TRANSLATION FACULTY ELECTIVE COURSE 2 0 0 2
H 30 FSH 0032 TEXT ANALYSIS FACULTY ELECTIVE COURSE 2 0 0 2
H 31 FSH 0033 SEMANTICS FACULTY ELECTIVE COURSE 2 0 0 2
H 32 FSH 0034 TERMINOLOGY AND TERMINOGRAPHY FACULTY ELECTIVE COURSE 2 0 0 2
H 33 FSH 0035 FINANCIAL ECONOMICS FACULTY ELECTIVE COURSE 2 0 0 2
H 34 FSH 0036 ECONOMIC GLOBALIZATION FACULTY ELECTIVE COURSE 2 0 0 2
H 35 FSH 0037 FOREIGN LANGUAGE RUSSIAN I FACULTY ELECTIVE COURSE 2 0 0 2
H 36 FSH 0038 FOREIGN LANGUAGE RUSSIAN II FACULTY ELECTIVE COURSE 2 0 0 2
H 37 FSH 0040 CHEMISTRY AND ART FACULTY ELECTIVE COURSE 2 0 0 2
 

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylul University Associate and Bachelors Degree and Faculty of Science Education and Exam Regulations are applied. See the following links for these regulations:
For the regulations of Dokuz Eylul University
http://www.deu.edu.tr/DEUWeb/Icerik/Icerik.php KOD=5683
For the regulations of Faculty of Science
http://web.deu.edu.tr/fen/pdf/DEUFEN_OSUE_2012.pdf
For our department, the minimum grade required for the graduation is 2.00 / 4.00.

Graduation Requirements

Education is total 4 years with 2 semesters every year (excluding 1 year of prep class)
Grading is done on a 4 point system.
Students have to succeed in all courses. Evaluation of success on class : See: DEU Faulty of Science Education and Examination Application Rules, Items 25-27
20 (twenty) work days of (4 weeks) internship work
3rd grade students have to take at least 18 credits worth of elective courses and at least 4 credits of elective courses from the faculty elective course pool in a year.
4th grade students have to take at least 12 credits worth of elective courses and at least 4 credits of elective courses from the faculty elective course pool in a year.
4th grade students must successfully complete the graduation project that lasts one year.
Students have to complete at least 240 ECTS credits.
Minimum graduation grade is 2.00 / 4.00.

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

Full-time

Programme Director or Equivalent

Prof. C.Cengiz ÇELİKOĞLU
e-mail: cengiz.celikoglu@deu.edu.tr; Tel: (232) 301 85 10
ECTS diploma supplement coordinator:
Assoc. Prof. Dr. Aylin ALIN
e-mail: aylin.alin@deu.edu.tr ;Tel: (232) 301 85 72