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Course Details
KTO KARATAY UNIVERSITY
Faculty of Economics and Administrative Sciences
Programme of Energy Management
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
99700011 Statistics I 2 Autumn 3 3+0+0 4 4
Course Type Compulsory
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Asst. Prof. Fatma ÇİFTCİ
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Asst. Prof. Fatma ÇİFTCİ C-105 [email protected] 7429 Tuesday
14:00
Course Content
Basic statistical concepts, Discrete and Continuous random variables, Frequency distributions, descriptive statistics.
Objectives of the Course
Evaluation of statistical analysis and use in statistical research with basic statistical methods
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 To have theoretical and practical knowledge in the field of energy management, to be able to use the knowledge they have 4
P2 To be able to identify issues, collect data, evaluate, analyze, interpret and develop solutions by using the knowledge, skills and competencies acquired in the field of energy management. 4
P3 To be able to access different information sources related to the field of energy management and be able to do numerical analysis and research. 4
P4 Ability to work in disciplinary, multidisciplinary or multicultural groups and individually 5
P5 Ability to communicate verbally and in writing in the language of instruction, to have knowledge of at least one foreign language 5
P6 Be able to act with moral values and professional responsibility awareness 5
P7 Knowing the universal and social effects and legal consequences of field practices 5
Weekly Detailed Course Contents
Week Topics
1 Introduction to Statistics (statistics, science and observation, data structures, research method and statistics, variables, measurement)
2 Frequency Distributions (Tables, Graphs, Percentages)
3 Measures of Central Tendency (Mean, median, peak)
4 Measures of change (Range, variance, standard deviation)
5 Measures of change (Range, variance, standard deviation)
6 Introduction of SPSS
7 An overview
8 Midterm
9 Introduction to Probability
10 Normal distribution
11 Confidence Intervals
12 Hypothesis Tests
13 An overview
14 Final
Textbook or Material
Resources Alpar, R.,(2023), Applied Statistics
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Practice - -
Field Study - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Seminar - -
Quiz - -
Listening - -
Midterms - -
Final Exam - -
Total 0 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 1 14
Midterms 1 20 20
Quiz 0 0 0
Homework 1 20 20
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 24 24
Other 0 0 0
Total Work Load: 120
Total Work Load / 30 4
Course ECTS Credits: 4