Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Statistics ISL245 Turkish Compulsory 3. Semester 3 + 0 3.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Lecture
Course Coordinator Doç. Dr. İsmail DURAK
Instructor(s) Doç. Dr. İsmail DURAK (Güz)
Goals The course aims to help students to comprehend the plan of the future by using numerical data. The aim of this course is to teach the basic concepts of statistics, descriptive data analysis, sampling, regression and variance analysis.
Course Content The statistics course covers an area that focuses on developing data analysis and interpretation skills.
Learning Outcomes
# Öğrenme Kazanımı
1 Decision problems in obtaining the information necessary to define the basic data structures and to reveal differences.
2 Statistical data summarization and classification tools and methods put forward. Apply a statistical approach to the process of knowledge production.
3 Describe the basic concepts of statistics.
4 Social sciences to demonstrate statistical decision problem or thesis.
5 Clarify the relationship between the variables
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to Statistics
2. Week Frequency Distributions
3. Week Averages and Other Central Tendency Measures
4. Week Averages and Other Central Tendency Measures
5. Week Standard Deviation and Other Propagation Measurements
6. Week Standard Deviation and Other Propagation Measurements (A technical tour is planned in Düzce)
7. Week Moment and Skewness
8. Week midterm exam
9. Week Basic Probability Theory
10. Week Basic Probability Theory
11. Week Technical tour
12. Week Binomial, Normal and Poisson Distributions
13. Week Binomial, Normal and Poisson Distributions
14. Week Binomial, Normal and Poisson Distributions
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Obtains information about the basic concepts and theories available in the business.
2 The system can recognize and interact with its surroundings in the entity is within the scope of the approach.
3 Your area has the ability to transfer information about the employees and colleagues.
4 Interpret the data obtained through the use of information in the field of business, to analyze, has the ability to define problems.
5 Makes matters relating to the field of research and study.
6 Participate and take responsibility for the project meets the objectives of the projects.
7 Critically evaluates the acquired knowledge and skills.
8 Understands the need for continuity of learning
9 Required by the field of information and communication technologies.
10 Information in a foreign language tracks and communicates with colleagues.
11 Understands the importance of ethics in business and society.
12 Understands the importance of innovation and entrepreneurship.
13 Social rights, social justice, quality and cultural values, environmental protection, occupational health and safety issues are conscious.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 5 5 5 5 5
PY2 5 5 5 5 5
PY3 5 5 5 5 5
PY4 5 5 5 5 5
PY5 5 5 5 5 5
PY6 3 3 3 3 3
PY7 5 5 5 5 5
PY8 5 5 5 5 5
PY9 5 5 5 5 5
PY10 1 1 1 1 1
PY11 4 4 4 4 4
PY12 4 4 4 4 4
PY13 2 2 2 2 2
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Ümit Şenesen (2002). Statistics for Business and Economics
  • İşletme İstatistiğinin Temelleri, Bowerman O’ Connel (Çev. Neyran Orhunbilge), Nobel, Ankara, (2013).
  • Applied Statistics, David M. Levine, Patricia P. Ramsey, Robert K. Smidt, Prentice Hall, (2001)
  • The Basic Practice of Statistics, 3rd. Edition, Moore DS. (2003).
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
Midterm 1 1 2 2
Homework 1 14 2 28
Homework 2 1 25.5 25.5
Final 1 2 2
Practice End-Of-Term 14 2 28
Classroom Activities 14 3 42
Total Workload 127.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0