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SECOND CYCLE - MASTER'S DEGREE
THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
COMPUTER ENGINEERING DEPARTMENT
1281 Computer Engineering
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
CENG 512
ARTIFICIAL INTELLIGENCE AND ENGINEERING APPLICATIONS
3 + 0
2nd Semester
7,5
COURSE DESCRIPTION
Course Level
Master's Degree
Course Type
Elective
Course Objective
Nowadays, computer designs modelling human brain has taken attention. In this course, learning techniques are examinated and given some capable about smart system design.
Course Content
Knowledge Representation: Knowledge Level Methods (Rule Based, Logic Based, and Frame Representation); Symbol Level Methods (Representations in Semantic Nets, Classifiers and Genetic Algorithms); Device Level Methods (Representations in Perceptrons and Neural Networks). Knowledge Based Systems: Expert Systems - History, General Structure and Development. General Knowledge Systems: CYC Methodology and Development. Intelligent Agents: Agent Environment, Agent Components and Agent Architecture.
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
COURSE LEARNING OUTCOMES
1
Lists Artificial Intelligence(AI) concepts
2
Differentiates between traditional programming and AI programming
3
Explains some machine learning methods
4
Lists variations of expert system
5
Represents Natural Language Processing
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
2
4
3
2
LO 002
5
2
4
3
2
LO 003
5
2
4
3
2
LO 004
5
2
4
3
2
LO 005
5
2
4
3
2
Sub Total
25
10
20
15
10
Contribution
5
2
4
3
2
0
0
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
Mid-terms
1
21
21
Final examination
1
40
40
Report / Project
1
50
50
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
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2025-2026 Fall
2024-2025 Fall
2023-2024 Fall
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2021-2022 Fall
2016-2017 Fall
2015-2016 Fall
2014-2015 Spring
2011-2012 Fall
2010-2011 Spring
This course is not available in selected semester.
Print
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes