Energy Management

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	Asst. Prof. Fatma ÇİFTCİ
Instructor(s)	-
Instructor Assistant(s)	-

Basic Vocational Courses
Specialization / Field Courses
Support Courses	X
Transferable Skills Courses
Humanities, Communication and Management Skills Courses

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Program Learning Outcomes	Level
P3	To be able to access different sources of information related to the field of energy management and to make numerical analysis and research	5

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1	To have a good command of measurement and measurement methods	P.3.27	1
O2	To know how to use data collection methods	P.3.28	1
O3	To be able to present data	P.3.29	1
O4	To be able to analyze data	P.3.30	1
O5	To be able to interpret statistical findings	P.3.31	1
O6	To be able to make a sample	P.3.32	1
O7	To be able to make statistical prediction	P.3.33	1
O8	To be able to establish and test hypothesis	P.3.34	1
O9	To be able to establish a relationship between variables and to be able to determine the form	P.3.35	1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

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 value)
4	Measures of change (Range, variance, standard deviation)
5	Measures of change (Range, variance, standard deviation)
6	SPSS Package Program Introduction
7	General Review
8	Midterm Exam
9	Introduction to Probability
10	Normal Distribution
11	Confidence Intervals
12	Hypothesis Testing
13	General Review
14	Final

Resources

Statistics for the Behavioral Sciences, F.J. Gravetter & L.B. Wallnau, 2004 Statistics for Social Sciences, Nilgün Köklü & Şener Büyüköztürk, 2005, pegema

In-Term Studies	Quantity	Percentage
Attendance	-	-
Practice	-	-
Field Study	-	-
Course Specific Internship (If Any)	-	-
Homework	-	-
Presentation	-	-
Projects	-	-
Quiz	-	-
Listening	-	-
Midterms	1	40 (%)
Final Exam	1	60 (%)
Total		100 (%)

	Quantity	Duration	Total Work Load
Course Week Number and Time	14	3	42
Out-of-Class Study Time (Pre-study, Library, Reinforcement)	0	0	0
Midterms	1	30	30
Quiz	0	0	0
Homework	0	0	0
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	45	45
Other	0	0	0
Total Work Load:			117
Total Work Load / 30			3,90
Course ECTS Credits:			4

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Learning Outcomes	P3
O1	To have a good command of measurement and measurement methods	5
O2	To know how to use data collection methods	5
O3	To be able to present data	4
O4	To be able to analyze data	5
O5	To be able to interpret statistical findings	5
O6	To be able to make a sample	5
O7	To be able to make statistical prediction	5
O8	To be able to establish and test hypothesis	5
O9	To be able to establish a relationship between variables and to be able to determine the form	5