COURSE UNIT TITLE

Offered By

Economics (English)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MEHMET ALDONAT BEYZATLAR

Offered to

Economics (English)

Course Objective

Everything is connected: people, information, events and places. A practical way of making sense of the tangle of connections is to analyze them as networks. Social Network Analysis (SNA) is a set of analytical methods and theories that study the pattern of relations among actors. Social networks are everywhere and play a role in substantive problems that cut across many subjects and disciplines. Any research problem that involves actors who have relations with each other, and relations that can be observed and measured, may benefit from Social Network Analysis. This course aims to provide students about the structure and evolution of networks, drawing on knowledge from economics.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

1. Stanley Wasserman and Katherine Faust. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press.
2. Robert Hanneman. (2005). Introduction to Social Networks. (A free online text-book).

Planned Learning Activities and Teaching Methods

1. Lectures
2. Readings
3. Data Search and Empirical Analysis

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

1. The learner will clearly define social network analysis' concepts.
2. The learner will use necessary data and empirical tools to explain the interaction through networks.
3. The learner will recognize economic issues defined in reserved books and resources at the library.

Language of Instruction

English

Course Policies and Rules

1. Attending at least 70 percent of lectures is mandatory.
2. Plagiarism of any type will result in disciplinary action.

Contact Details for the Lecturer(s)

mehmet.beyzatlar@deu.edu.tr

Office Hours

Please contact via E-mail.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes