ETHICS AND SOCIAL RESPONSIBILITY

Course Description

The course is designed to familiarize students with concepts such as morality, theory of right and wrong, the theory of value, what entails goodness and badness, and the theory of virtue and vice. After introducing these concepts, the course encourages students to think about ethical aspect of real life events and issues, makes them analytically examine their position in social life and how they deal with ethical issues. Students become more effective decision makers by examining the meaning and role of ethics in the business environment, and the social responsibility of business organizations. Topics include the relationship between business and society; identifying stakeholdersand issues; the theoretical basis of business ethics; business ethics in management and leadership; the concept of corporate social responsibility; corporate social responsibility in practice; regulating business; ownership and governance of the corporation; environmental and business responsibilities; globalization and business responsibilities; and ethics, responsibilities and strategy

ETHICS AND SOCIAL RESPONSIBILITY

Evaluation Tools (Active Term)

Course outcomes

1. 01 Assess the role ethics in the business process (Solo 5)
2. 02 Explain the roles of ethics in decision-making process (Solo 3)
3. 03 Identify key sources and basic dimensions of ethics ( Solo 2)
4. 04 Discuss the relevant concepts and usage of practical cases/activities (Solo 5)

Course Syllabus

Reference Books & Course Materials

1. 01 Velasquez, Manuel G., author. Title: Business ethics : concepts & cases/Manuel G. Velasquez, Santa Clara University. Description: Eighth Edition. | New York : Pearson, [2017] | Revised edition of the author’s Business ethics, c2012.

Learning Outcomes

1. L01 Assess the role ethics in the business process
2. L02 explain the roles of ethics in decision-making process
3. L03 identify key sources and basic dimensions of ethics
4. L04 discuss the relevant concepts and usage of practical cases/activities

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