1. SECOND CYCLE - MASTER'S DEGREE
  3. FINE ARTS TEACHING DEPARTMENT
  4. 2173 MUSIC EDUCATION PhD
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
MZE 620ARTIFICIAL INTELLIGENCE APPLICATIONS IN MUSIC3 + 02nd Semester9

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective The aim of the "Artificial Intelligence Applications in Music” course is to teach the use of artificial intelligence in music and to teach the use of artificial intelligence applications in music production.
Course Content The content of this course includes topics such as the use of artificial intelligence in music, the use of artificial intelligence applications in music production, artificial intelligence technologies in music and the future of artificial intelligence applications in music Dec.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To learn the use of artificial intelligence in music.
2To learn the use of artificial intelligence applications in music production.
3To learn artificial intelligence technologies in music.
4To have information about the future of artificial intelligence applications in music.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08
LO 001        
LO 002        
LO 003        
LO 004        
Sub Total        
Contribution00000000

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)1410140
Mid-terms11717
Final examination13535
Total Work Load

ECTS Credit of the Course





234

9
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1ÇAĞATAY ŞİŞMAN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MZE 620 ARTIFICIAL INTELLIGENCE APPLICATIONS IN MUSIC 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. ÇAĞATAY ŞİŞMAN csisman@pau.edu.tr MSSF A0014 %
Goals The aim of the "Artificial Intelligence Applications in Music” course is to teach the use of artificial intelligence in music and to teach the use of artificial intelligence applications in music production.
Content The content of this course includes topics such as the use of artificial intelligence in music, the use of artificial intelligence applications in music production, artificial intelligence technologies in music and the future of artificial intelligence applications in music Dec.
Topics
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