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SECOND CYCLE - MASTER'S DEGREE
FINE ARTS TEACHING DEPARTMENT
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 Code
Course Title
L+P Hour
Semester
ECTS
MZE 620
ARTIFICIAL INTELLIGENCE APPLICATIONS IN MUSIC
3 + 0
1st Semester
9
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
1
To learn the use of artificial intelligence in music.
2
To learn the use of artificial intelligence applications in music production.
3
To learn artificial intelligence technologies in music.
4
To have information about the future of artificial intelligence applications in music.
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
LO 001
LO 002
LO 003
LO 004
Sub Total
Contribution
0
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
10
140
Assignments
1
17
17
Final examination
1
35
35
Total Work Load
ECTS Credit of the Course
234
9
COURSE DETAILS
Select Year
All Years
2023-2024 Spring
Course Term
No
Instructors
Details
2023-2024 Spring
1
ÇAĞATAY 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 Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
50
Midterm Exam
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