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    (Doctorate Degree)
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    (Master's Degree)
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    (Bachelor's Degree)
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    (Associate's Degree)
 
First Cycle Programmes (Bachelor's Degree)

Faculty of Science - Statistics - First Cycle Programme



General Description
History
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, 5 assistant professor, 3 instructors and 7 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. 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.
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
Asst. Prof. Dr. Hakan Savas Sazak Ege University Faculty of Science Department of Statistics 35100 Bornova Izmir Turkey phone: +90 232 311 17 25 e-mail: hakan.savas.sazak@ege.edu.tr
Facilities
A laboratory of 13 computers for graduate students and a seminar room.

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

Key Programme Learning Outcomes - NQF for HE in Turkey
TYYÇKey Learning Outcomes
123456789101112131415161718192021222324
KNOWLEDGE1
SKILLS1
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
3
4
5
COMPETENCES (Field Specific Competence)1
2

Course Structure Diagram with Credits
T : Theoretical P: Practice L : Laboratory
1. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 406005132003 COMPUTER COURSE Compulsory 3 0 0 2
2 406001242013 ENGLISH FOR SCIENCES I Compulsory 2 0 0 3
3 406005292006 INTRODUCTION TO BUSINESS I Compulsory 3 0 0 5
4 406005172004 INTRODUCTION TO ECONOMICS-I Compulsory 3 0 0 5
5 406001211997 INTRODUCTION TO STATISTICS Compulsory 2 2 0 6
6 406001191997 MATHEMATICS-I Compulsory 3 1 0 5
7 406001022006 PRINCIPLES OF ATATURK AND RECENT TURKISH HISTORY I Compulsory 2 0 0 2
8 406001012006 TURKISH LANGUAGE I Compulsory 2 0 0 2
Total 20 3 0 30
 
2. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 406005272006 BASIC STATISTICS Compulsory 2 2 0 5
2 406005242016 COMPUTER APPLICATIONS IN STATISTICS-I Compulsory 2 0 0 3
3 406001272013 ENGLISH FOR SCIENCES II Compulsory 2 0 0 2
4 406005262006 INTRODUCTION TO BUSINESS II Compulsory 3 0 0 5
5 406005202004 INTRODUCTION TO ECONOMICS II Compulsory 3 0 0 4
6 406001221997 MATHEMATICS-II Compulsory 3 1 0 5
7 406000942006 PRINCIPLES OF ATATURK AND RECENT TURKISH HISTORY II Compulsory 2 0 0 2
8 406005282011 TRANSITION INTO UNIVERSITY LIFE Compulsory 2 0 0 2
9 406000922006 TURKISH LANGUAGE II Compulsory 2 0 0 2
Total 21 3 0 30
 
3. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 10420601E11623 APPLIED STATISTICS Compulsory 2 2 0 6
2 406006252016 COMMUNITY SERVICE ACTIVITIES Compulsory 2 0 0 2
3 406006172016 COMPUTER APPLICATIONS IN STATISTICS-II Compulsory 2 0 0 3
4 406002022001 DIFFERENTIAL EQUATIONS Compulsory 2 1 0 5
5 406002131997 MATHEMATICS III Compulsory 3 1 0 6
6 10420601E11621 PROBABILITY Compulsory 4 0 0 8
Total 15 4 0 30
 
4. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 406002932005 C PROGRAMMING Compulsory 2 0 2 5
2 10420601E11616 MATHEMATICAL STATISTICS Compulsory 4 0 0 7
3 406002151997 MATHEMATICS-IV Compulsory 3 1 0 6
4 406002162001 MATRIX THEORY Compulsory 3 1 0 6
5 10420601T11618 ORDER STATISTICS Compulsory 3 0 0 6
Total 15 2 2 30
 
5. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 İSTATİSTİK-05 ELECTIVE I Elective - - - 12
2 10420601E11381 REGRESSION ANALYSIS Compulsory 4 0 0 7
3 10420601T11383 RESARCH METHODS Compulsory 2 2 0 6
4 406003852016 STATISTICAL SOFTWARES Compulsory 2 0 0 5
Total 8 2 0 30
 
6. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 İSTATİSTİK-06 ELECTIVE II Elective - - - 12
2 406003042004 NONPARAMETRIC STATISTICAL METHODS Compulsory 3 0 0 5
3 10420601T11372 SAMPLING Compulsory 2 2 0 6
4 406003191999 STOCHASTIC PROCESSES Compulsory 4 0 0 7
Total 9 2 0 30
 
7. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 İSTATİSTİK-07 ELECTIVE III Elective - - - 15
2 10420601E11453 MULTIVARIATE STATISTICS Compulsory 4 0 0 8
3 10420601E11455 STATISTICAL QUALITY CONTROL Compulsory 2 2 0 7
Total 6 2 0 30
 
8. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 10420601E11460 APPLICATIONS OF MULTIVARIATE STATISTICS Compulsory 3 0 0 7
2 10420601E11462 DESIGN OF EXPERIMENTS Compulsory 4 0 0 8
3 İSTATİSTİK-08 ELECTIVE IV Elective - - - 15
Total 7 0 0 30
 
ELECTIVE I
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 406003111999 NUMERIC ANALYSIS Elective 2 2 0 4
2 406003122005 DATA BASE Elective 3 0 0 4
3 406003272007 STATISTICAL GRAPHICS METHODS Elective 3 0 0 4
4 406003612001 ACCOUNTING Elective 3 0 0 4
5 406003712012 SIMULATION Elective 3 0 0 4
6 406003792016 INTRODUCTION TO OPERATIONS RESEARCH Elective 3 0 1 4
ELECTIVE II
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 10420602E11370 DISCRETE OPTIMIZATION Elective 3 0 0 4
2 406003032016 OPERATIONS RESEARCH Elective 3 0 1 4
3 406003222004 SURVEY SAMPLING Elective 3 0 0 4
4 406003242003 PROGRAMMING WITH C++ Elective 2 0 2 4
5 406003252003 COMPUTER SCIENCES-II Elective 3 0 1 4
6 406003582001 PROGRAMMING WITH DATA BASE Elective 2 0 2 4
7 406003602001 ACCOUNTING TABLES ANALYSIS Elective 3 0 0 4
ELECTIVE III
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 10420602E11457 EXPLORATORY DATA ANALYSIS Elective 3 0 0 5
2 406004232000 TIME SERIES Elective 2 2 0 5
3 406004242007 COMPUTER SCIENCES-III Elective 2 1 0 5
4 406004282001 FINANCIAL MANAGEMENT Elective 3 0 0 5
5 406004332016 PROGRAMMING LANGUAGES Elective 3 0 1 5
6 406004482016 OPTIMIZATION Elective 3 0 1 5
7 406004512006 SOURCE SEARCHING TECHNIQUES Elective 0 2 0 5
ELECTIVE IV
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 10420602E11464 ROBUST STATISTICS Elective 3 0 0 5
2 10420602E11466 OBJECT ORIENTED PROGRAMMING-III Elective 2 2 0 5
3 10420602E11468 INTEGER PROGRAMMING Elective 3 0 0 5
4 406004082000 NEW APPLICATIONS IN STATISTICS Elective 3 0 0 5
5 406004152006 ECONOMETRICS Elective 2 0 2 5
6 406004172000 TOTAL QUALITY CONTROL Elective 2 0 0 5
7 406004322005 COST AND MANAGEMENT ACCOUNTING Elective 3 0 0 5
8 406004522016 OPTIMIZATION MODELS AND APPLICATIONS Elective 3 0 1 5
9 406004582006 GRADUATE THESIS Elective 0 2 0 5
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr