Course Name Code Semester T+U Hours Credit ECTS
Artificial Intelligence and Productivity SAU 112 3 1 + 1 2 3
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type OPTIONAL
Course Coordinator Dr.Öğr.Üyesi FATMA AKALIN
Course Lecturers Dr.Öğr.Üyesi ULAŞ YURTSEVER, Doç.Dr. ŞULE YILMAZ ÖZDEN, Dr.Öğr.Üyesi FATMA AKALIN,
Course Assistants
Course Category Other
Course Objective
Course Content
Development Goals
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Lecture, Question-Answer, Short Answer Tests,
2 Project, Problem Solving, Performance Evaluation,
3 Problem Solving, Written Exams (Short and Long Answer), Performance Evaluation,
4 Discussion, Question-Answer, Written Exams (Short and Long Answer),
5 Project, Written Exams (Short and Long Answer), Performance Evaluation,
6 Project, Written Exams (Short and Long Answer), Performance Evaluation,
7 Lecture, Discussion, Written Exams (Short and Long Answer),
Week Course Topics Preliminary Preparation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Resources
Course Notes
Course Resources
# Contribution of Course Learning Outcomes to Program Outcomes
1
2
3
4
5
6
7
Evaluation System
Semester Studies Contribution Rate
Total 0
Total 0
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 14 2 28
Hours for off-the-classroom study (Pre-study, practice) 14 1 14
Quiz 1 4 4
Project / Design 1 20 20
Total Workload 66
Total Workload / 25 (Hours) 2.64
dersAKTSKredisi 3