Course Name Code Semester T+U Hours Credit ECTS
Data Science SAU 909 0 1 + 0 2 2
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
Course Assistants
Course Category Other
Course Objective
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Sightseeing, Role Playing, Question-Answer, Self Study, True False Tests, Gap Fill Tests,
2 Group Study, Question-Answer, Role Playing, Lecture, Short Answer Tests, True False Tests,
3 Group Study, Self Study, Question-Answer, Role Playing, Lecture, True False Tests, Gap Fill Tests, Short Answer Tests,
4 Group Study, Self Study, Observation, Sightseeing, Lab / Workshop, Matching Tests, Short Answer Tests,
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
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Ödev 25
1. Proje / Tasarım 35
Total 100
1. Final 50
1. Yıl İçinin Başarıya 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Final examination 1 20 20
Project / Design 1 15 15
Assignment 1 5 5
Total Workload 135
Total Workload / 25 (Hours) 5.4
dersAKTSKredisi 2