1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. MECHATRONIC ENGINEERING DEPARTMENT
  4. 1509 Mechatronics Engineering
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
MCTE 508APPLICATIONS OF ARTIFICIAL INTELLIGENCE 3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective The usage and applications of artificial intelligence in engineering are shown.
Course Content Introduction to artificial intelligence, basic principles. Integration of artificial intelligence and machines. Programming for artificial intelligence. Applications of artificial intelligence in engineering.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1The students will grasp the necessary steps for developing artificial intelligence.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001544341242542
Sub Total544341242542
Contribution544341242542

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Mid-terms17575
Final examination17878
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1ERDEM DİLMEN
Details 2022-2023 Spring1ERDEM DİLMEN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MCTE 508 APPLICATIONS OF ARTIFICIAL INTELLIGENCE 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. ERDEM DİLMEN edilmen@pau.edu.tr TEK A0225 %80
Goals The usage and applications of artificial intelligence in engineering are shown.
Content Introduction to artificial intelligence, basic principles. Integration of artificial intelligence and machines. Programming for artificial intelligence. Applications of artificial intelligence in engineering.
Topics
WeeksTopics
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Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes