1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
  3. MANAGEMENT INFORMATION SYSTEMS DEPARTMENT
  4. 219 MANAGEMENT INFORMATION SYSTEMS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
YBS 483ARTIFICIAL INTELLIGENCE APPLICATIONS3 + 05th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Artificial Intelligence aims to solve real-life learning, inference, optimization, prediction, classification and recognition problems.
Course Content Artificial intelligence languages will be explained and AI based programs will be made with modern programming languages (python, C #, matlab). These are Artificial Intelligence Problems, Machine Learning and Detection, Expert Systems, Image Processing, Optimization, Artificial Neural Networks and Genetic Algorithms, Natural Language Processing, Robotics Applications.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To gain the ability to solve real life learning, inference, optimization, estimation, classification and recognition problems with artificial intelligence.
2To gain the ability to apply the basic concepts, techniques, mathematics and software infrastructure of Artificial Intelligence.
3To gain the ability to develop intelligent software
4To acquire the ability to recognize and use artificial intelligence languages and tools such as Python, matlab.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
LO 003            
LO 004            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments21020
Mid-terms11010
Final examination11616
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2022-2023 Fall1HAMİD YEŞİLYAYLA


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
YBS 483 ARTIFICIAL INTELLIGENCE APPLICATIONS 3 + 0 1 Turkish 2022-2023 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer HAMİD YEŞİLYAYLA hyesilyayla@pau.edu.tr İİBF C0017 %70
Goals Artificial Intelligence aims to solve real-life learning, inference, optimization, prediction, classification and recognition problems.
Content Artificial intelligence languages will be explained and AI based programs will be made with modern programming languages (python, C #, matlab). These are Artificial Intelligence Problems, Machine Learning and Detection, Expert Systems, Image Processing, Optimization, Artificial Neural Networks and Genetic Algorithms, Natural Language Processing, Robotics Applications.
Topics
WeeksTopics
1 Introductory terms, foundations, history and philosophy of AI
2 Introductory terms, foundations, history and philosophy of AI
3 Intelligent Agents
4 Intelligent Agents
5 Uninformed Search Methodologies
6 Heuristic Search
7 Heuristic Search
8 Meta-Heuristics
9 Image Processing
10 Neural Networks
11 Knowledge Based Agents
12 First Order Logic
13 Inference in First Order Logic
14 Probabilistic Reasoning
Materials
Materials are not specified.
Resources
ResourcesResources Language
Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second EditionEnglish
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes