SOCIOLOGY

Course Description

This introductory course in Sociology begins with an overview of the nature of the discipline, followed by a survey of various aspects of the structures and dynamics of social life. The history of sociology, the views of its founders and the major modern sociological perspectives are examined afterwards. Research methods and theories in sociology are explored to illustrate how thinking sociologically adds to our knowledge of the world around us. In this course, basic topics of sociology such as culture, socialization, media, family, education, social stratification, urbanization, social change are analyzed through different sociological perspectives. The course is accommodated to groups of students with different backgrounds and professional education. Class discussions on covered topics are encouraged and are valuable parts of this course.

SOCIOLOGY

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Learn the meaning of "sociology"
2. 02 Be able to analyse a culture
3. 03 Understand the problem of ethnocentrism
4. 04 Be able to make the difference between crime and deviance
5. 05 Be able to define a "family" in a sociological perspective
6. 06 Learning the importance of objectivity in research
7. 07 Gain an overview of major sociological perspective
8. 08 Be able to understand the difference between common sense and scientific data
9. 09 Be able to think about the importance of socialization
10. 10 be able to connect various social sciences between them

Course Syllabus

Reference Books & Course Materials

1. 01 Sociology; Richard Shaefer; 2014
2. 02 https://courses.lumenlearning.com/wm-introductiontosociology/

Learning Outcomes

1. L01 Learn the meaning of "sociology"
2. L02 Be able to analyse a culture
3. L03 Understand the problem of ethnocentrism
4. L04 Be able to make the difference between crime and deviance
5. L05 Be able to define a "family" in a sociological perspective
6. L06 Learning the importance of objectivity in research
7. L07 Gain an overview of major sociological perspective
8. L08 Be able to understand the difference between common sense and scientific data
9. L09 Be able to think about the importance of socialization
10. L10 be able to connect various social sciences between them
11. L11 Can explain fundamental social institutions and their basic properties. SOLO 3
12. L12 Explain the three paradigms (perspectives) in sociology. SOLO 3
13. L13 Can employ sociological imagination in analyzing imaginary or real world cases. SOLO 4
14. L14 Can define how mass media, urbanization, education etc. are approached by the 3 paradigms. SOLO 3
15. L15 Can define the basic concepts of sociology. SOLO 3

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix