Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
3İST201Statistics I3+0+03418.08.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Economics
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course The general aim of this course is to enable the candidate economist to first determine the place and importance of probability theory in solving real life problems and also to explain the concepts of descriptive statistics.
Course Content Lesson; sets, permutation, combination, probability, expected value, variance, standard deviation.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Serkan ARACI
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Akdeniz, Fikri. Olasılık ve İstatistik. 19. Baskı, 2014,ISBN:978-605-464-952-5
Course Notes The course has no prerequisites.

Course Category
Mathematics and Basic Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 42 3 126
Hours for off-the-c.r.stud 25 2 50
Mid-terms 1 2 2
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 6 180

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Learns the basic concepts of probability theory, sample space, event and probability experiment.
2 The student, who is informed about permutation, combination, applies probability rules using probability axioms.
3 The concept of random variable is given.
4 Learns definitions of probability function and probability density function, distribution function, expected value and variance for discrete and continuous random variables.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Set theory, sample space, events and counting rules Topics covered last week and this week are read from books and other sources.
2 Set theory, sample space, events and counting rules Topics covered last week and this week are read from books and other sources.
3 Permutation Topics covered last week and this week are read from books and other sources.
4 Combination Topics covered last week and this week are read from books and other sources.
5 Combination Topics covered last week and this week are read from books and other sources.
6 Ordered and unordered partitions, binomial theorem and application Topics covered last week and this week are read from books and other sources.
7 The binomial theorem The topics that were covered last week and that will be covered this week are read from books and other sources.
8 Midterm Exam -
9 The binomial theorem The topics that were covered last week and that will be covered this week are read from books and other sources.
10 Probability Topics covered last week and this week are read from books and other sources.
11 Probability Topics covered last week and this week are read from books and other sources.
12 Probability Topics covered last week and this week are read from books and other sources.
13 Random variables and their distributions, Expected value and variance properties. Topics covered last week and this week are read from books and other sources.
14 Random variables and their distributions, Expected value and variance properties, and General Review The lessons taught during the semester are repeated.
15 Final Exam -

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
C1 4 4 4 4 4 4 4 4 4 1 4 1
C2 4 4 3 5 4 3 4 4 4 1 4 1
C3 4 4 3 5 4 3 4 4 4 1 4 1
C4 5 4 4 3 4 4 4 5 3 1 4 1

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant