MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
CMP1000 Artificial Intelligence for The Public Fall 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery:
Course Coordinator : RA MERVE AYYÜCE KIZRAK
Course Objectives:

Learning Outputs

The students who have succeeded in this course;

Course Content

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction What is artificial intelligence? Artificial intelligence from the past to the present.

Sources

Course Notes:
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project % 0
Seminar % 0
Midterms % 0
Preliminary Jury % 0
Final % 0
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 0
PERCENTAGE OF SEMESTER WORK % 0
PERCENTAGE OF FINAL WORK % 0
Total % 0

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Laboratory 0 0 0
Application 5 4 20
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 2 28
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 3 2 6
Preliminary Jury 0 0 0
Midterms 1 15 15
Paper Submission 1 14 14
Jury 0 0 0
Final 1 30 30
Total Workload 141

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution