Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Statistics MAT204 Turkish Compulsory 4. Semester 2 + 2 3.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Lecturing
Course Coordinator Prof. Dr. FUAT USTA
Instructor(s) Prof. Dr. FUAT USTA (Bahar)
Goals To learn basic concept of theory of statistic and probability
Course Content Some fundamental concept related to statistic and probability, important tests and some applications
Learning Outcomes
# Öğrenme Kazanımı
1 Student’s ability of commenting and thinking truely will improve and the students will gain basic information associated with mathematic
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Mathematical Expextation of random variable
2. Week Mathematical Expextation of random variable
3. Week Variance and Covariance of random variables
4. Week Variance and Covariance of random variables
5. Week Means and Variances of Linear Combinations of Random Variables)
6. Week Moments and Moment-Generating Functions
7. Week Binomial Distributions
8. Week Midterm
9. Week 􏰢Hypergeometric Distribution
10. Week Poisson Distribution
11. Week The method of the least squares, Correlation, Regression
12. Week Certainty and uncertainty coefficients
13. Week Statistic decision, tests of hypothesis
14. Week Unique and both sided tests, Ki-square tests
*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 Possesses theoretical and applied knowledge of the fundamental areas of mathematics (Analysis and Function Theory, Algebra and Number Theory, Geometry, Applied Mathematics, Topology and Foundations of Mathematics, and Mathematical Logic).
2 Explains the historical development of mathematical concepts, their relationship with other branches of science, and their application areas.
3 Defines mathematical problems, selects appropriate methods, and solves them using analytical/numerical techniques.
4 Constructs mathematical expressions with logical integrity and reaches conclusions using proof methods.
5 Formulates and interprets real-life problems by performing mathematical modeling.
6 Effectively uses information technologies and mathematical software in data analysis and computation processes.
7 Takes responsibility in individual or team work; plans and executes projects.
8 Follows current developments in their field; improves themselves with a lifelong learning awareness.
9 Expresses mathematical ideas verbally and in writing clearly and in accordance with academic rules.
10 Acts in accordance with professional and academic ethical values; acts with a sense of social responsibility.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1
PY1 4
PY2 1
PY3 4
PY4 5
PY5 5
PY6 1
PY7 3
PY8 4
PY9 3
PY10 4
PY11 1
PY12 3
PY13 4
PY14 2
PY15 1
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 1.SEYMOR Teori Ve Problemlerle Olasılık , Güven Kitabevi 1979
  • 2.Fikri AKDENİZ , Olasılık Ve İstatistik Baki Kitabevi 2002
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 2 28
Sınavlar
Midterm 1 2 2
Homework 14 1 14
Final 1 2 2
Practice 14 1 14
Classroom Activities 14 1 14
Total Workload 74
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0