PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
INS 639	COMPUTATIONAL OPTIMIZATION METHODS IN CIVIL ENGINEERING	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The aim of this course is to give information about computational optimization methods.
Course Content	Introduction to MATLAB programming; Mathematical preliminaries; one-dimensional optimization; constrained and unconstrained gradient-based optimization methods; solving engineering problems using computational optimization methods.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	It gives information about solving one-dimensional optimization problems.
2	It gives information about constrained and unconstrained gradient-based optimization methods.
3	It gives information about solving engineering problems using computational optimization methods.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001		5	5	5		5
LO 002		5	5	5		5
LO 003		5	5	5		5
Sub Total		15	15	15		15
Contribution	0	5	5	5	0	5	0	0	0	0	0

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	3	42
Assignments	2	30	60
Mid-terms	1	25	25
Final examination	1	26	26
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
INS 639	COMPUTATIONAL OPTIMIZATION METHODS IN CIVIL ENGINEERING	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. ERSİN BAHAR	ebahar@pau.edu.tr		MUH BA0102	%

Goals		The aim of this course is to give information about computational optimization methods.
Content		Introduction to MATLAB programming; Mathematical preliminaries; one-dimensional optimization; constrained and unconstrained gradient-based optimization methods; solving engineering problems using computational optimization methods.

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