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 Having adequte scientific knowledge of Human Resources Management, basic business concepts and other social sciences
2 Thinking critically and analytically
3 Having knowledge of communication and information technologies
4 In-depth understanding of the research process and application of a range of research techniques into studies, researches and projects
5 In-depth understanding of usage of Human Resources Management and other social sciences theoretical and applied knowledge together.
6 Ability to interpret basic Business concepts from Human Resource Management perspective
7 Ability to implement basic HRM responsibilities in institutions such as HR Planning and staffing, labor relations, occupational healthy and safety, training planning, performance and rewards management, career planning, employment and interview techniques and legal HR issues
8 Implementing quality process approach into HRM process by considering institutional development, internal and external customer satisfaction; in case of need, having sense of responsibility making contribution for problem solving and continuous development and process excellence ability by problem identification, goal setting, reorganisation and change management skills
9 Management of resources and assets by considering budgetary, financial and legal issues; management of projects/operations with the ability of planning, implementation, and auditing; Having skills on management of self and other people
10 Enriching result oriented working approach with continous learning approach
11 Strong oral and written communication skills and ability to present ideas and information effectively
12 Being good at one foreign language, ability to communicate written and orally
13 Ability to work with people of various cultural and educational background by valuing team work, developing emphathy and listening skills
14 Being conscious on social, academic and professional ethical values
15 Development of critical theoretical appreciation of ´how´, ´why´ and ´where´ HRM contributes to and supports employee and societal development, and implementing these approach for applied and graduate projects and working life
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