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First Cycle Programmes (Bachelor's Degree)

Faculty of Science - Statistics - - First Cycle Programme

General Description

The Department of Statistics is established as the seventh department of the Faculty of Science at Ege University and the department has begun undergraduate education between 1987 and 1988. Approximately 550 students in the department are educated by a scientific committee which consists of 17 members such as 2 professor, 7 associate professor, 2 assistant professors, 1 lecturers and 5 research 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”.

Length of Programme

4 Year, 8 Semesters

Total Credits

240 ECTS

Level of Qualification According to the National Qualification Framework and the European Qualifications Framework

EQF-LLL 6

0542 Statistics

Bachelor of Science Degree

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 day 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 knowledge, skills and competencies that students should gain until they graduate from the program are expressed by the Program outputs. Ege University 2018-2023 Strategic Plan and 11th Development Plan were taken into consideration in the preparation of the program outputs.

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. For almost all required and technical elective courses there are written examinations, in which most cases student must solve selected problems by calculation. One midterm examination is given during each semester. Dates of midterm examinations are announced by the Department in the first month of the semester. In addition to midterm examinations and other work, students are required to take a final examination. Final examinations are held at the appropriate place and hour as decided and announced by the Department. Students are given a make-up examination for any examination which they have not attended if it is accepted by the Faculty Administrative Committee that there exist genuine and valid reasons for this. The semester grades are determined by adding forty percent of the midterm exam and sixty percent of the final exam grade. The type and contribution of the educational activities such as reports, homework, quizzes, seminar presentations or individual oral discussions, and performance in laboratory work on the assessment are announced by the instructor at the beginning of the semester. In the new assessment system which has been introduced since the academic year of 2004-2005, the semester grades are assessed through Relative Assessment System. The success states of the students are specified by Grade Point Averages (GPA) and Cumulative Grade Point Average (CGPA) computed at the end of each term. (GPA) is the weighted grade average of the term the student is enrolled in. CGPA is the weighted grade average of the students computed by considering all the courses in the course plan of the enrolled department or program starting from the entrance to the university. (GPA) and (CGPA) are computed with the weighted grade averages. Weighted grade average is obtained by dividing the sum of the product of course credits and the weight coefficients equivalent of the letter grades to the total credit. Both (GPA) and CGPA are determined by adding all the grades students get from credit courses ranging from (AA) to (FF) to assessment. Students whose CGPA value is at least 2.00 are considered successful on condition that no course has been marked as (FF), (FD). Students whose CGPA values are below 2.00 are considered failure. Starting from the end of the second term, Students’ GPAs have to be at least 1.80 to be able to take classes of the upper terms. For the assessment of success of the students enrolled in before the academic year of 2004-2005, if the final exam and the semester grades exceed 60 or be equal to 60 , the student will be successful from this course. Courses which do not require midterm and/or final examinations are determined by the course teacher. Under these circumstances, the semester grade is given by evaluating the work done throughout the semester. In the nontechnical optional courses, students and lecturer arrange the method of evaluation. The student’s success in these courses is awarded by “successful” in the transcript of records.

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

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

Full Time

Prof. Dr. Dinçer AYAZ (Acting Head of The Department) Ege University Faculty of Science Department of Statistics 35100 Bornova Izmir Turkey phone: +90 232 311 2301 e-mail: dincer.ayaz@ege.edu.tr

2 Computer Laboratories with a capacity of 48 and 8 computers 4 Amphi Classrooms 1 Seminar Hall 1 Meeting Hall 1 Guest Room 1 Graduate Student Room are available.

Key Learning Outcomes

1 To know the basic concepts in the Science of Statistics
2 To be able to build models in statistical problems
3 The ability to produce specialized solutions for specific problems
4 To have the required language skills to be able to follow the Statistical Literature
5 To be able to store and edit big data sets and make statistical inferences on them
6 To be able to use The Science of Statistics in multidisciplinary studies
7 To be able to conduct all the process in a research project including the definition of the problem, the design and reporting of the project, the collection, analysis and interpretation of the data with appropriate methods
8 To be able to follow the innovations and improvements in the area
9 To have the consciousness of the necessity of Lifelong Learning and be able to make realization of it
10 The ability to think analytically
11 To have the consciousness in Quality concept
12 To be able to use statistical methods to improve quality
13 To be able to make logical connections between the statistical concepts
14 To have scientific scepticism and verification skills
15 To have good skills in computer programming
16 To have the required skills to use the package programs
17 To be able to communicate by expressing his/her ideas, written or orally in a clear and concise way
18 To have the knowledge of mathematics required for Science of Statistics
19 To be able to conduct intradisciplinary and multidisciplinary team studies
20 To have the basic concepts in Economics and Administrative Sciences
21 To be able to prepare appropriate tables and graphs to summarize the data and interpret and present them in an efficient, fast and correct way
22 To have the consciousness of professional and moral responsibility
23 To have the consciousness of social responsibility
24 To have the initiative and individual working ability

Key Programme Learning Outcomes - NQF for HE in Turkey

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Key Learning Outcomes
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KNOWLEDGE
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
SKILLS
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
COMPETENCES ( Competence to Work Independently and Take Responsibility )
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
COMPETENCES ( Learning Competence )
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
COMPETENCES ( Communication and Social Competence )
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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COMPETENCES ( Field Specific Competence )
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Course Structure Diagram with Credits (60 ECTS per Full-Time Academic Year)

T : Theoretical P: Practice L: Laboratory
1. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
ATA101 Turkish PRINCIPLES OF ATATURK AND RECENT TURKISH HISTORY I Compulsory 2 - - 2
ECO101 Turkish INTRODUCTION TO ECONOMICS I Compulsory 3 - - 3
FEN101 English SCIENTIFIC ENGLISH I Compulsory 2 - - 3
FEN103 Turkish COMPUTER COURSE Compulsory 3 - - 3
İKP101 Turkish CAREER PLANNING Compulsory 1 - - 2
İST103 Turkish INTRODUCTION TO STATISTICS Compulsory 2 2 - 7
MAN101 Turkish INTRODUCTION TO BUSINESS I Compulsory 3 - - 3
MAT151 Turkish MATHEMATICS I Compulsory 3 1 - 5
TUR101 Turkish TURKISH LANGUAGE I Compulsory 2 - - 2
Total 21 3 0 30
2. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
ATA102 Turkish PRINCIPLES OF ATATURK AND RECENT TURKISH HISTORY II Compulsory 2 - - 2
CHA001 Turkish CHILD RIGHTS AND FAMILY EDUCATION Compulsory 1 - - 2
ECO102 Turkish INTRODUCTION TO ECONOMICS II Compulsory 3 - - 3
FEN102 English SCIENTIFIC ENGLISH II Compulsory 2 - - 3
İST106 Turkish COMPUTER APPLICATIONS IN STATISTICS I Compulsory 2 - - 3
İST110 English BASIC STATISTICS Compulsory 2 2 - 5
MAN102 Turkish INTRODUCTION TO BUSINESS II Compulsory 3 - - 3
MAT152 Turkish MATHEMATICS II Compulsory 3 1 - 5
TUR102 Turkish TURKISH LANGUAGE II Compulsory 2 - - 2
ÜYG102 Turkish TRANSITION INTO UNIVERSITY LIFE Compulsory 2 - - 2
Total 22 3 0 30
3. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
FEN.FAK.SEÇ.I Turkish FACULTY ELECTIVE COURSES I Elective - - - 6
İST201 English PROBABILITY Compulsory 4 - - 7
İST203 English APPLIED STATISTICS Compulsory 2 2 - 6
İST207 Turkish COMPUTER APPLICATIONS IN STATISTICS II Compulsory 2 - - 2
MAT251 Turkish MATHEMATICS III Compulsory 3 1 - 4
MAT257 Turkish DIFFERENTIAL EQUATIONS Compulsory 2 1 - 3
MDSD01 English Müfredat Dışı Seçmelı Ders Grubu - I - - - -
THU201 Turkish COMMUNITY SERVICE ACTIVITIES Compulsory 2 - - 2
Total 15 4 0 30
4. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
FEN.FAK.SEÇ.II Turkish FACULTY ELECTIVE COURSES II Elective - - - 3
İST202 English MATHEMATICAL STATISTICS Compulsory 4 - - 8
İST206 Turkish MATRIX THEORY AND STATISTICS APPLICATIONS Compulsory 2 - 2 5
İST208 Turkish ALGORITHM DESIGN WITH STATISTICAL APPLICATIONS Compulsory 3 - - 5
İST210 English INTRODUCTION TO OPERATIONS RESEARCH Compulsory 3 - 1 4
MAT252 Turkish MATHEMATICS IV Compulsory 3 1 - 5
MDSD02 English Müfredat Dışı Seçmelı Ders Grubu - II - - - -
Total 15 1 3 30
5. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
İST.ALAN.SEÇ.I Turkish ELECTIVE I Elective - - - 8
İST301 English REGRESSION ANALYSIS Compulsory 4 - - 7
İST303 Turkish RESEARCH METHODS Compulsory 2 2 - 6
İST317 Turkish STATISTICAL SOFTWARES Compulsory 2 - - 6
MDSD03 English Müfredat Dışı Seçmelı Ders Grubu - III - - - -
ÜNİV.SEÇ.DERS.I Turkish UNIVERSITY ELECTIVE COURSE-I Elective - - - 3
Total 8 2 0 30
6. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
İST.ALAN.SEÇ.II Turkish ELECTIVE II Elective - - - 8
İST302 Turkish STOCHASTIC PROCESSES Compulsory 4 - - 7
İST304 Turkish NONPARAMETRIC STATISTICAL METHODS Compulsory 3 - - 6
İST330 Turkish SAMPLING Compulsory 4 - - 6
MDSD04 English Müfredat Dışı Seçmelı Ders Grubu - IV - - - -
ÜNİV.SEÇ.DERS.II Turkish UNIVERSITY ELECTIVE COURSE-II Elective - - - 3
Total 11 0 0 30
7. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
İST.ALAN.III Turkish ELECTIVE III Elective - - - 15
İST401 English MULTIVARIATE STATISTICS Compulsory 4 - - 8
İST403 English STATISTICAL QUALITY CONTROL Compulsory 2 2 - 7
İST423 Turkish SOURCE SEARCHING TECHNIQUES Compulsory - 2 - 5
MDSD05 English Müfredat Dışı Seçmelı Ders Grubu - V - - - -
Total 6 4 0 35
8. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
İST.ALAN.IV Turkish ELECTIVE IV Elective - - - 15
İST402 English DESIGN OF EXPERIMENTS Compulsory 4 - - 8
İST404 English APPLICATIONS OF MULTIVARIATE STATISTICS Compulsory 3 - - 7
İST428 Turkish GRADUATE THESIS Compulsory - 2 - 5
MDSD06 English Müfredat Dışı Seçmelı Ders Grubu - VI - - - -
Total 7 2 0 35
FEN.FAK.SEÇ.I - FACULTY ELECTIVE COURSES I
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
AST001 Turkish PRATICAL ASTRONOMİ Elective 2 - - 3
BKM1313 Turkish ORIGIN OF LIFE Elective 2 - - 3
FİZ001 Turkish NANOTECHNOLOGY Elective 2 - - 3
FİZ411 Turkish PHYSICS OF ENERGY SOURCES Elective 3 - - 3
İST001 Turkish STATISTICAL GRAPHICS METHODS Elective 3 - - 3
KİM001 Turkish CHEMICAL PRODUCTS AND LIFE Elective 2 - - 3
KİM003 Turkish CHEMOMTRY Elective 2 - - 3
KİM005 Turkish ALTERNATIVE ENERGY SOURCES Elective 2 - - 3
MAT005 Turkish MODELLING TECHNIQUES Elective 3 - - 3
MAT007 Turkish FUNDAMENTAL INFORMATION TECHNOLOGIES Elective 3 - - 3
FEN.FAK.SEÇ.II - FACULTY ELECTIVE COURSES II
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
BİY002 Turkish EVOLUTION Elective 2 - - 3
BKM1310 Turkish PUBLIC HEALTH Elective 2 - - 3
BKM2420 Turkish INDUSTRIAL HYGIENE Elective 2 - - 3
BKM302 Turkish INTRODUCTION TO NANOBIOTECHNOLOGY Elective 2 - - 3
FİZ322 Turkish ALTERNATIVE ENERGY SOURCES Elective 3 - - 3
FİZ410 Turkish RADIATION AND HEALTH PHYSICS Elective 3 - - 3
İST002 Turkish ECONOMETRICS Elective 2 - 1 3
İST004 Turkish TOTAL QUALITY CONTROL Elective 2 - - 3
KİM008 Turkish ENVIRONMENTAL TECHNOLOGY Elective 2 - - 3
MAT002 Turkish INTRODUCTION TO OBJECT-ORIENTED PROGRAMMING Elective 3 - - 3
İST.ALAN.SEÇ.I - ELECTIVE I
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
İST307 Turkish DATA BASE Elective 3 - - 4
İST309 English SIMULATION Elective 3 - - 4
İST311 Turkish FUZZY PROBABILITY AND STATISTICS Elective 3 - - 4
İST313 Turkish PROBABILITY THEORY Elective 3 - - 4
İST315 Turkish CATEGORICAL DATA ANALYSIS Elective 3 - - 4
İST331 Turkish BIOSTATISTICS Elective 3 - - 4
MAT203 Turkish COMPUTER SCIENCE I Elective 3 - 1 4
ÜNİV.SEÇ.DERS.I - UNIVERSITY ELECTIVE COURSE-I
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
Bİİ305DSG Turkish INTRODUCTION TO SOCIOLOGY OF RELIGION Elective 2 - - 3
DTMK305TEMT Turkish BASIC MUSIC TERMINOLOGY I Elective 2 - - 3
Ede309İDA Turkish UNDERSTANDING HUMAN BEHAVIOURS Elective 2 - - 3
YEN305GYKA Turkish INVESTMENT DECISION ANALYSIS IN ENTREPRENEURSHIP Elective 2 - - 3
İST.ALAN.SEÇ.II - ELECTIVE II
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
İST310 Turkish SURVEY SAMPLING Elective 3 - - 4
İST314 Turkish PROGRAMMING WITH DATA BASE Elective 2 - 2 4
İST318 English COMPUTER AIDED SYSTEM SIMULATION AND MODELING Elective 2 - 2 4
İST322 English OPERATIONS RESEARCH Elective 3 - 1 4
İST328 Turkish PROGRAMMING WITH C++ Elective 3 - 1 4
İST332 Turkish DATA VISUALISATION METHODS Elective 3 - 1 4
ÜNİV.SEÇ.DERS.II - UNIVERSITY ELECTIVE COURSE-II
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
Bİİ305DS Turkish RELIGION AND ART Elective 2 - - 3
Bİİ306DİVKA Turkish WOMEN IN RELIGIONS Elective 2 - - 3
ENF305WEB Turkish WEB DESING Elective 2 - - 3
FEN305BİYO Turkish BIOTECHNOLOGY Elective 2 - - 3
MOD306MLB Turkish MATERIAL SCIENCE Elective 2 - - 3
Müh306GıdG Turkish FOOD SAFETY Elective 2 - - 3
YEN306GİPH Turkish ENTREPRENEURSHIP AND PREPARATION OF BUSINESS PLAN Elective 2 - - 3
YEN306GTOD Turkish Elective 2 - - 3
İST.ALAN.III - ELECTIVE III
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
İST407 Turkish TIME SERIES Elective 2 2 - 5
İST411 English EXPLORATORY DATA ANALYSIS Elective 3 - - 5
İST415 English STATISTICAL RELIABILITY ANALYSIS Elective 3 - - 5
İST419 Turkish PROGRAMMING LANGUAGES Elective 3 - 1 5
İST421 Turkish OPTIMIZATION Elective 3 - 1 5
İST.ALAN.IV - ELECTIVE IV
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
İST410 English ROBUST STATISTICS Elective 3 - - 5
İST412 English INTEGER PROGRAMMING Elective 3 - - 5
İST418 Turkish STATISTICS WITH R PROGRAMMING LANGUAGE Elective 2 - 2 5
İST420 Turkish ORDER STATISTICS Elective 3 - - 5
İST422 Turkish OPTIMIZATION MODELS AND APPLICATIONS Elective 3 - 1 5
İST424 Turkish ECONOMETRIC MODELS Elective 3 - - 5
İST426 Turkish PROBLEM SOLVING METHODS IN PROCESS CONTROL Elective 3 - - 5
İST430 Turkish INDUSTRAL ECONOMY Elective 3 - - 5