Course Name Code Semester T+U Hours Credit ECTS
Statistics ISL 211 3 4 + 0 4 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. BAYRAM TOPAL
Course Lecturers Prof.Dr. BAYRAM TOPAL,
Course Assistants Research Assistant Tuğrul Cabir HAKYEMEZ
Course Category
Course Objective This course helps students understand and develop the skills of using statistical methods employed in social sciences effectively.
Course Content In this course, the basic concepts of statistics, descriptive statistics for the data, tables and graphs to summarize data, means, variability and shape of the division, probability and probability distributions,sampling,statistical estimation and hypothesis testing, chi- square test, regression analysis and correlation analysis,issues will be discussed.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Intended use and emphasizes the importance of statistics Lecture, Question-Answer, Testing,
2 Compile data from various subjects Lecture, Question-Answer, Testing, Homework,
3 Define the data collected from a variety of issues, summarize and explain the visual Lecture, Drilland Practice, Homework, Testing,
4 Calculate the average value of property according to the data. Lecture, Drilland Practice, Testing, Homework,
5 Calculate and interpret the change of variable. Lecture, Drilland Practice, Testing, Homework,
6 Determine how to interpret the division by a variable. Lecture, Drilland Practice, Testing, Homework,
7 Calculate the probability of various events, according to the measure of uncertainty Lecture, Drilland Practice, Testing, Homework,
8 Distinguish between discrete and continuous random variables and probability distributions for these variables to calculate the probability Lecture, Drilland Practice, Testing, Homework,
9 Knows appropriate methods of sampling survey Lecture, Drilland Practice, Testing, Homework,
10 Using sample statistics estimates the parameters of the population Lecture, Drilland Practice, Testing, Homework,
11 Using sample statistics decides about the population parameters Lecture, Drilland Practice, Testing, Homework,
12 Analyze the data using the methods of analysis for the purpose of the study Lecture, Drilland Practice, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Basic Concepts Related to Statistics
2 Series and Graphs
3 Measures of Central Tendency
4 Variability and Shape of the Division
5 Probability Theory
6 Discrete Probability Distributions
7 Continuous Probability Distributions
8 Sampling
9 Midterm exam
10 Statistical Estimation
11 Hypothesis Testing
12 Hypothesis Testing
13 Chi-Square Test
14 Regression Analysis and Correlation Analysis
Course Notes Özkan, Yılmaz, (2007), Uygulamalı İstatistik 1, Sakarya Yayıncılık, Sakarya.<br>Özkan, Yılmaz, (2007), Uygulamalı İstatistik 2, Sakarya Yayıncılık, Sakarya.
Course Resources Serper, Özer, (2010), Uygulamalı İstatistik 1, Ezgi Kitabevi, Bursa.
Serper, Özer, (2010), Uygulamalı İstatistik 2, Ezgi Kitabevi, Bursa.
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Interprets and applies theoretical and practical information about HRM in sample situations.
2 Interprets and applies the knowledge of other relevant disciplines from the perspective of HRM
3 Makes a versatile and critical evaluation in the process of obtaining and using information
4 Designs and implements research related to the field.
5 Uses different development channels effectively.
6 Communicates effectively when working with others
7 Acts in accordance with social, academic and professional ethical values.
8 Makes suggestions for the development of sensitive working environments on diversity management.
9 Experiences the gains they have acquired practically through internships.
10 Analyzes the Human Resources practices of the institutions where they do internship and provides them feedback.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 15
2. Kısa Sınav 15
3. Kısa Sınav 20
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 1 16
Mid-terms 1 12 12
Quiz 1 6 6
Assignment 2 13 26
Final examination 1 18 18
Total Workload 126
Total Workload / 25 (Hours) 5.04
dersAKTSKredisi 5