PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ISY 604	NONLINEAR PROGRAMMING	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Doctorate Degree
Course Type	Elective
Course Objective	Çok değişkenli analize giriş,tanımlayıcı istatistik,parametrik hipotezler,parametrik olmayan hipotezler,korelayon,varyans,kovaryansve regresyon analizleri,faktör analizi,discrımant analizi,kümeleme analizi
Course Content	Multivariate normal distribution. The average estimate of vector and matrix covariance. Example of usage and distribution of the correlation coefficient. General test of the linear hypothesis. Variance test. Variance analysis. Independence tests of variable clusters. Basic components. Canonical correlation and canonical variables. Distribution of characteristics root. Wishard matrix. Factor analysis. Time series analysis. Stochastic equations. .
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	The basic concepts of nonlinear problems, define the assumptions and strategies
2	Explain the impact on the operating efficiency of nonlinear optimization strategies
3	Direct and indirect methods for nonlinear programs can be classified
4	Regulation of the workplace can work with non-linear programming
5	Business planning processes based on these analyzes, based on the calculations

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07
LO 001	4	4	2	5			4
LO 002	4	4	2	5			4
LO 003	4	4	2	5			4
LO 004	4	4	2	5			4
LO 005	4	4	2	5			4
Sub Total	20	20	10	25			20
Contribution	4	4	2	5	0	0	4

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	4	56
Assignments	5	5	25
Mid-terms	1	20	20
Final examination	1	22	22
Presentation / Seminar Preparation	3	10	30
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ISY 604	NONLINEAR PROGRAMMING	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. ARZU ORGAN	aorgan@pau.edu.tr		İİBF A0121	%70

Goals		Çok değişkenli analize giriş,tanımlayıcı istatistik,parametrik hipotezler,parametrik olmayan hipotezler,korelayon,varyans,kovaryansve regresyon analizleri,faktör analizi,discrımant analizi,kümeleme analizi
Content		Multivariate normal distribution. The average estimate of vector and matrix covariance. Example of usage and distribution of the correlation coefficient. General test of the linear hypothesis. Variance test. Variance analysis. Independence tests of variable clusters. Basic components. Canonical correlation and canonical variables. Distribution of characteristics root. Wishard matrix. Factor analysis. Time series analysis. Stochastic equations. .

Topics

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student