Energy Management

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
00781001	Econometrics	4	Spring	8	3+0+0	4	4

Course Type	Elective
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. Ayşegül UÇKUN ÖZKAN
Instructor Assistant(s)	-

Basic Vocational Courses
Specialization / Field Courses	X
Support Courses
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
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.	5

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1	Learns the approaches to be used in testing economic hypotheses.	P.2.2	1
O2	Understand the findings of research involving econometric analysis.	P.2.3	1
O3	Gains the ability to make econometric analysis.	P.3.3	1
O4	Provides a basis for understanding advanced econometric analysis.	P.3.4	1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

Week	Topics
1	Giving information about the process and scope of the course, econometric approach, econometric models and techniques
2	Linear regression model and estimation
3	Least squares method and coefficient of determination
4	Function structures of the regression model
5	Measures of goodness of fit (AIC, SIC, Adjusted R-square)
6	Installing the R program
7	General revision
8	Midterm
9	Regression diagnostics I: Multicollinearity
10	Regression diagnostics II: Heteroscedasticity
11	Regression diagnostics III: Autocorrelation
12	Regression diagnostics IV: Model identification errors
13	Continuation of regression diagnoses IV: Simultaneity problem
14	Stationary and non-stationary time series (Stationarity tests, cointegration tests)
15	VAR model

Resources

Gujarati, D.N., Porter, D.C. (2014). Temel ekonometri. Literatür yayınları.

In-Term Studies	Quantity	Percentage
Attendance	-	-
Practice	-	-
Field Study	-	-
Course Specific Internship (If Any)	-	-
Homework	-	-
Presentation	-	-
Projects	-	-
Seminar	-	-
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	3	42
Midterms	1	10	10
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	20	20
Other	0	0	0
Total Work Load:			114
Total Work Load / 30			3,80
Course ECTS Credits:			4

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

#	Learning Outcomes	P2	P3
O1	Learns the approaches to be used in testing economic hypotheses.	4	-
O2	Understand the findings of research involving econometric analysis.	-	3
O3	Gains the ability to make econometric analysis.	3	-
O4	Provides a basis for understanding advanced econometric analysis.	-	5