ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SOC1005	Introduction to Anthropology	Spring	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi AYŞEGÜL AKDEMİR
Recommended Optional Program Components:	"."
Course Objectives:	The aim of this course is twofold: First, students will be introduced to the core ideas and concepts of anthropology such as culture, nature, ethnography, social stratifications, kinship systems, race, gender, marriage, sexuality, religion etc. Examples from various human groups around the globe will be used to develop an understanding of these core concepts, ideas and themes. Secondly, we will bring in these concepts and perspectives into our own lives to develop an informed analysis of the Turkish society.

Learning Outcomes

The students who have succeeded in this course;
The students who succeeded in this course will be able to:

(1)Develop an understanding of Anthropology, its origins and its conditions of emergence.

(2) Analyse core concepts of Anthropology

(3)Describe relationship between Anthropology and colonialism

(4)Develop a perspective on how to conceptualize culture

(5)Examine major socio cultural institutions and practices such as Kinship, Family and Marriage

(6)Develop a conceptualization of Nature. Explore the relationship between nature and culture

(7)Develop a critical perspective on concepts that are taken for granted in our daily lives

(8)Develop competence on linking concepts and theories of anthropology with existing socio cultural practices

(9)Develop an understanding of human cultural variety

Course Content

The course has two main sections. In the first part, it will introduce students to the world of anthropology by examining its origins, scope, main paradigms, and by developing a theoretical understanding of what culture is. Second section consists of using the main perspectives developed in the first part in exploring some of the main themes and topics of anthropology such as family, kinship, gender, and nature.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction and course outline
2)	What is anthropology	Horace Miner, “Body Ritual of the Nacirema”
3)	Origins of Anthropology	Lavenda & Schultz, Chapter 1
4)	Early anthropological theories: Social Evolutionism	McGee & Warms “Nineteenth-Century Evoltionism”
5)	Early anthropological theories: Cultural Relativism	McGee & Warms “Historical Particularism”
6)	Culture and colonial heritage	Lavenda & Schultz, Chapter 2
7)	Critique of ‘Culture’	Renato Rosaldo “The Erosion of Classic Norms”
8)	Midterm	Course review and midterm
9)	Kinship and Descent	Lavenda & Schultz, Chapter 9
10)	Family	Lavenda & Schultz, Chapter 9 cont'd.
11)	Marriage	Lavenda & Schultz, Chapter 10
12)	Sex and Gender	Donna Haraway, “Is Female to Male as Nature Is to Culture”
13)	Gender inequalities	Anne Fausto-Sterling, “The Five Sexes: Why Male and Female Are Not Enough”
14)	Nature / Culture I	TBA

Sources

Course Notes / Textbooks:	Robert H. Lavenda and Emily A. Schultz. Core Concepts in Cultural Anthropology. Third Edition. Boston: McGraw Hill. 2007 Renato Rosaldo. Culture and Truth. , Boston: Beacon Press. 1993
References:	"."

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 10
Quizzes	5	% 15
Midterms	1	% 30
Final	1	% 45
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 55
PERCENTAGE OF FINAL WORK		% 45
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	4	56
Quizzes	5	10	50
Midterms	1	2	2
Final	1	2	2
Total Workload			152

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.