Social, Professional & Ethical Issues in Computing
General
Code: BSC_IT37
Language: English
Delivery: In person
Prerequisites:
Workload
- Lectures: 39.0 hours
- Lab: 0.0 hours
- Study: 61.0 hours
- Project: 50.0 hours
Course Content
Week 1: Introduction to ethics in computing
Week 2: Ethical theories and frameworks
Week 3: Professional codes of ethics
Week 4: Privacy and data protection
Week 5: Security and ethics
Week 6: Intellectual property
Week 7: Digital divide and social impact
Week 8: AI ethics
Week 9: Algorithmic bias and fairness
Week 10: Professional responsibility
Week 11: Case studies
Week 12: Discussion and review
Learning Outcomes
Upon successful completion of the course, students will be able to:
Understand ethical theories and their application in computing
Identify ethical dilemmas in technology development and use
Apply professional codes of ethics (ACM/IEEE)
Understand privacy, security, and data protection issues
Analyze social impacts of computing technologies
Understand intellectual property rights
Evaluate ethical issues in AI and algorithmic bias
Develop professional responsibility
Engage in informed ethical discussions
Skills
The course fosters the following competences:
Search for, analysis and synthesis of data and information, with the use of the necessary technology
Adapting to new situations
Decision-making
Working independently
Team work
Working in an international environment
Working in an interdisciplinary environment
Production of new research ideas
Project planning and management
Respect for difference and multiculturalism
Respect for the natural environment
Showing social, professional and ethical responsibility and sensitivity to gender issues
Criticism and self-criticism
Production of free, creative and inductive thinking
Others:
Ethical reasoning and decision-making
Professional responsibility
Critical analysis of technology impacts
Social awareness in computing