MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE APPLICATIONS FOR SOCIAL SCIENCES

SOBE514

Course Type

Elective Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

will learn the concepts of Artificial Intelligence, Machine Learning and Deep Learning terms.
will learn the theoretical foundation and computer applications of some methods within these topics.
will be able to apply them in social sciences using real-world data.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

Course Description

Course Contents

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Project	1	30
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz
Individual or group work	14	3	42
Preparation for Final exam	1	25	25
Course hours	14	3	42
Preparation for Midterm exam	1	25	25
Laboratory (including preparation)
Final exam	1	2	2
Homework	1	12	12
Total Work Load			150
Total Work Load / 30 (h)			5
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)