PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
CENG 501	ADVANCED PROGRAMMING TECHNIQUES	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The aim of this course is to teach advanced programming techniques.
Course Content	Identifying the strengths and weaknesses of programming languages with examples. Open and adaptable expression, control structures. Broad abstract thinking, modulation, encapsulation, packet programming, and common routine programming. Object-oriented architectures and service-based architectures. Applications of trending programming languages.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.

COURSE LEARNING OUTCOMES

1	Generates solutions to intricate problems
2	Develops object-oriented architecture.
3	Solves the problems using existing methods.
4	The ability to think in multiple ways.

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	PO 12
LO 001	5		3	3				3		1	3
LO 002	5		3	3				3		1	3
LO 003	5		3	3				3		1	3
LO 004	5		3	3				3		1	3
Sub Total	20		12	12				12		4	12
Contribution	5	0	3	3	0	0	0	3	0	1	3	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	5	70
Assignments	5	8	40
Mid-terms	1	15	15
Final examination	1	28	28
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	Mode of Delivery
CENG 501	ADVANCED PROGRAMMING TECHNIQUES	3 + 0	1	Turkish	2024-2025 Fall	Face to Face

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. FATMANA ŞENTÜRK	fatmanas@pau.edu.tr		MUH A0257	%60

Goals		The aim of this course is to teach advanced programming techniques.
Content		Identifying the strengths and weaknesses of programming languages with examples. Open and adaptable expression, control structures. Broad abstract thinking, modulation, encapsulation, packet programming, and common routine programming. Object-oriented architectures and service-based architectures. Applications of trending programming languages.

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