Module Title:Ethics 2
Language of Instruction:English
Credits: 5
NFQ Level:6
Module Delivered In 2 programme(s)
Teaching & Learning Strategies: Classes will be based around lectures and group discussion activities on presented content. This class will be taught primarily by means of lectures, class discussion, problem based learning and group activities.
Module Aim: This module examines the fundamental principles and frameworks in ethical decision making and explores the role technology is playing in shaping social, economic, psychological and environmental conditions in which people participate.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Identify ethical quandaries and analyse by applying different theoretical approaches
LO2 Evaluate and demonstrate understanding of ethical challenges presented by utilising information technology implementations and case studies.
LO3 Articulate transparent decisions that are sensitive to stakeholder values.
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
No requirements listed
 

Module Content & Assessment

Indicative Content
Philosophical approaches to ethics
Consequentialist Ethical Theory, Non-consequentialist Ethical Theory, Agent centered ethical theory
Ethical Frameworks
Deontological ethical frameworks, Consequentialist Framework, Virtue Framework, Duty Framework
Relationships between technology & ethics (Sample Case Studies)
Machine Autonomy & Accountability ACM/IEEE-CS, Software Engineering Code of Ethics and Professional Practice, Facial Recognition, Data Ethics, Digital Privacy, Cybersecurity Ethics, Algorithmic Bias, Surveillance, Monetisation of human attention, Environmental Sustainability Technology, Monoculture Technocracy
Value-Sensitive Design
Data-centred vs. Human-centred computing; conceptual investigations, empirical investigations, and technical investigations; avoiding ethical incidents; transparent decision-making that is sensitive to stakeholder values
Assessment Breakdown%
Project60.00%
End of Module Formal Examination40.00%
No Continuous Assessment
Project
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Project Learners will be required to complete a number of elements over the duration of the project, such as stakeholder analysis, and evaluating case studies. Feedback will be provided on elements of the project submitted by Weeks 3 and 7. 2,3 60.00 Week 10
No Practical
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam n/a 1,2 40.00 End-of-Semester

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Lecture 12 Weeks per Stage 3.00
Project 12 Weeks per Stage 3.00
Independent Learning Time 15 Weeks per Stage 3.53
Total Hours 125.00
 

Module Delivered In

Programme Code Programme Semester Delivery
CW_KCCYB_B Bachelor of Science (Honours) in Cyber Crime and IT Security 3 Mandatory
CW_KCCYB_D Bachelor of Science in Cybercrime and IT Security 3 Mandatory