PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
CENG 405	CURRENT TOPICS IN COMPUTER SCIENCE - I	3 + 0	7th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	Purpose of this course is to study the details on certain technological or theoretical topics related to the Computer Engineering field.
Course Content	Examining and educating students in recent technologies in Computer Science and Information Technologies. Scanning academic publications on advanced Computer Science related topics. Undertaking projects in relevant topics.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.

COURSE LEARNING OUTCOMES

1	Explains research methods
2	Explains presentation preparation
3	Provides presentation skills

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	2				3	5	4	4	3	2
LO 002	5	3	2				3	5	4	4	3	2
LO 003	5	3	2				3	5	4	4	3	2
Sub Total	15	9	6				9	15	12	12	9	6
Contribution	5	3	2	0	0	0	3	5	4	4	3	2

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	2	28
Assignments	14	1	14
Mid-terms	1	19	19
Final examination	1	27	27
Total Work Load ECTS Credit of the Course			130 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 405	CURRENT TOPICS IN COMPUTER SCIENCE - I	3 + 0	1	Turkish	2024-2025 Fall	Face to Face

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. GÖKHAN UÇKAN	guckan@pau.edu.tr		MUH A0226	%60

Goals		Purpose of this course is to study the details on certain technological or theoretical topics related to the Computer Engineering field.
Content		Examining and educating students in recent technologies in Computer Science and Information Technologies. Scanning academic publications on advanced Computer Science related topics. Undertaking projects in relevant topics.

Topics

Weeks	Topics
1	Introduction AI Programming and Application
2	Introduction to MPI
3	Introduction to IOT
4	Introduction to IOT
5	Introduction to Flying IOT Applications
6	Embarassingly Parallel Computations
7	Embarassingly Parallel Computations
8	Introduction to Deep Learning
9	Deep Learning Applications in Different Fields
10	Shared Memory
11	Midterm
12	OpenMP
13	Introduction to Robotics
14	Robotic Applications in Different Fields

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

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

Prospective Student