Energy Management

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
99700015	Statistics II	2	Spring	4	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	4
P8	To be able to express by establishing a connection between at least two different courses outside the field that contribute to the general culture of the individual.	3

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1	Master measurement and measurement methods	P.3.36	1
O2	Knows how to use data collection methods	P.3.37	1
O3	Can present and analyze data	P.3.38	1
O4	Interpret statistical findings	P.3.39	1
O5	Formulate and test hypotheses	P.3.40	1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

Week	Topics
1	Point estimators and their properties, confidence level and interval concepts
2	Confidence of the mean of the normal distribution for cases where the main mass variance is and is not known range forecast
3	Confidence interval estimation of the difference between the means of two main populations where the samples are dependent
4	For the cases where the variance of the main mass is known and for the cases where it is not known, two main models where the samples are independent confidence interval estimate of the difference of mass means
5	Hypothesis testing concepts, The mean of the normal distribution for the case where the main mass variance is known hypothesis testing, P value concept
6	Hypothesis testing of the mean of a normal distribution for cases where the main mass variance is unknown
7	Hypothesis testing of the difference in means of two main masses where the samples are dependent
8	For the cases where the variance of the main mass is known and for the cases where it is not known, two main models where the samples are independent hypothesis test of difference of mass means. Test of equality of variance for two normally distributed main populations
9	Linear models, Least squares method, Linear regression model, Least squares coefficient predictors
10	Explanatory powers of linear regression equation, Analysis of variance, Coefficient of determination
11	Hypothesis testing and confidence interval for the main mass regression slope, F distribution for the main mass slope hypothesis testing, Estimation and confidence intervals, Correlation analysis and correlation hypothesis testing
12	Multiple regression model, least squares method and sample multiple regression model. Multiple explanatory powers of the regression equation, coefficient of determination and multiple correlation coefficient
13	Confidence intervals and hypothesis testing for regression coefficients. The entire multiple regression equation hypothesis testing via F distribution for coefficients
14	Nonparametric tests for paired dyads: Sign test, normal distribution for sign test, Normal distribution for Wilcoxon sign rank test and Wilcoxon sign rank test

Resources

Statistics for Social Sciences, Nilgün Köklü, Şener Büyüköztürk, 2005

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)	14	2	28
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	30	30
Other	0	0	0
Total Work Load:			130
Total Work Load / 30			4,33
Course ECTS Credits:			4

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

#	Learning Outcomes	P3
O1	Master measurement and measurement methods	4
O2	Knows how to use data collection methods	4
O3	Can present and analyze data	3
O4	Interpret statistical findings	4
O5	Formulate and test hypotheses	3