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PHL324Arts2 Unitsintermediate

Cybernetic / Artificial Intelligence

This course introduces students to Artificial Intelligence (A.I.), exploring its nature, historical development, and capabilities in information storage, problem-solving, and knowledge acquisition. Students will examine A.I.'s role in knowledge representation, simulation, information dissemination, and machine language. The course also delves into the epistemological limitations of A.I., questioning whether machines can equate to humans and considering the irreducibility of human consciousness. It evaluates the current and future prospects of A.I.

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20h

Study Time

13

Weeks

2h

Per Week

basic

Math Level

Course Keywords

Artificial IntelligenceCyberneticsMachine LearningEpistemologyConsciousness

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level

Builds on foundational knowledge

65%

intermediate

➕

Math Level

Basic Math

📖

Learning Type

Theoretical Focus

Course Topics

Key areas covered in this course

1

Historical Evolution of Artificial Intelligence

2

Nature of Artificial Intelligence

3

Subject Matter of Artificial Intelligence

4

Significance of Artificial Intelligence

5

Epistemological Limitations of Artificial Intelligence

6

Psycho-Moral Implications of Artificial Intelligence

Total Topics6 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assessments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

AI Developer

Apply your skills in this growing field

Data Scientist

Apply your skills in this growing field

Robotics Engineer

Apply your skills in this growing field

Software Engineer

Apply your skills in this growing field

Research Scientist

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

HealthcareFinanceManufacturingTransportationEducation

Study Schedule Beta

A structured 13-week journey through the course content

Week

1

Module 1: Introduction to Artificial Intelligence (AI)

1.5h

Unit 1: Historical Evolution of Artificial Intelligence

1.5 study hours

•Read the introduction to understand the scope and objectives of the unit.
•Examine the historical development of human technology.
•Trace the historical evolution of Artificial Intelligence (A.I.).
•Discuss the concepts of Science and Technology and their relevance to A.I.

Week

2

Module 1: Introduction to Artificial Intelligence (AI)

1.5h

Unit 2: The Nature of Artificial Intelligence

1.5 study hours

•Discuss the general description of Artificial Intelligence.
•Differentiate between natural and artificial intelligence.
•Discuss the rationale for the invention of artificial intelligence.
•Reflect on the benefits and drawbacks of AI.

Week

3

Module 1: Introduction to Artificial Intelligence (AI)

1.5h

Unit 3: The Subject Matter of Artificial Intelligence

1.5 study hours

•Explain the concept of perception in detail.
•Differentiate between human perception and intelligence machine perception.
•Discuss the task of intelligence machines in human society.
•Analyse the philosophical perspectives to Artificial Intelligence

Week

4

Module 1: Introduction to Artificial Intelligence (AI)

1.5h

Unit 4: Intelligent Machines and Perception

1.5 study hours

•Explore the issues on intelligent machines and perception.
•Differentiate between the problem-solving method in intelligence machine and human method.
•Understand the concept of recognition and action in machine perception.

Week

5

Module 1: Introduction to Artificial Intelligence (AI)

1.5h

Unit 5: Artificial Intelligence: A Consequent of the Metaphysical Problem of Mind

1.5 study hours

•Explain the mind-body problem.
•Establish how the mind-body problem informed artificial intelligence.
•Show the role of Gilbert Ryle on the philosophic relationship between mind-body problem and artificial intelligence.

Week

6

Module 2: The Significance of Artificial Intelligence (AI)

1.5h

Unit 1: The Usefulness of Artificial Intelligence

1.5 study hours

•Understand and explain the concept of Machine Learning.
•Discuss in detail the possibility of intelligent machines learning and achieving knowledge.
•Differentiate between the types of learning in Machine learning.

Week

7

Module 2: The Significance of Artificial Intelligence (AI)

1.5h

Unit 2: Artificial Intelligence and the Quest for Knowledge

1.5 study hours

•Discuss the idea of natural language in artificial intelligence.
•Explore the relevance of Artificial Intelligence to Knowledge.
•Know the difference between human intelligence and artificial intelligence.

Week

8

Module 2: The Significance of Artificial Intelligence (AI)

1.5h

Unit 3: The Epistemological Significance of Artificial Intelligence

1.5 study hours

•Understand and explain the concept of Epistemology.
•Differentiate between the both types of knowledge, A priori and A posteriori.
•Discuss the epistemic significance of Artificial intelligence and its benefit to man.

Week

9

Module 2: The Significance of Artificial Intelligence (AI)

1.5h

Unit 4: Machine Learning and Conflict Resolution: The Farmer Herdsmen Conflict as Case Study

1.5 study hours

•Comprehend the origin and cause of the Herder-Farmer's Crises.
•Understand the political implication of the crises.
•Explore the impact of artificial intelligence via machine learning toward rectifying the crises.

Week

10

Module 3: Challenges of Artificial Intelligence

1.5h

Unit 1: The Epistemological Limitations of Artificial Intelligence

1.5 study hours

•Understand and explain the relationship between epistemology and the field of Artificial intelligence.
•Discuss the limits of intelligent machines.
•Explain the epistemic importance of human reasoning over machines.

Week

11

Module 3: Challenges of Artificial Intelligence

1.5h

Unit 2: Can Machines be Equated with Men? Some Notable Debates

1.5 study hours

•Know the place of artificial intelligence and humans.
•Argue for the extent to which artificial intelligence will require human intelligence.
•Compare and contrast Artificial Intelligence and Human Intelligence.

Week

12

Module 3: Challenges of Artificial Intelligence

1.5h

Unit 3: The Irreducibility of Human Consciousness

1.5 study hours

•Understand the limitation of reducing human consciousness.
•Realise the problems of equating machines with humans.
•Explore the concept of irreducibility and consciousness.

Week

13

Module 3: Challenges of Artificial Intelligence

1.5h

Unit 4: The Psycho-Moral Implications of Artificial Intelligence: Cyber-Bullying as Case Study

1.5 study hours

•Learn what cyber-bullying means.
•Understand how cyber-bullying extends to artificial intelligence.
•Realise the limitations of artificial intelligence via cyber-bullying.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

Read the complete course material as provided by NOUN.

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Create a timeline of AI's historical evolution, noting key milestones and figures (Unit 1).

2

Compare and contrast different types of AI (Units 2, Module 1 and Unit 1, Module 2).

3

Outline the main arguments for and against equating machines with humans (Unit 2, Module 3).

4

Focus on understanding the philosophical concepts related to consciousness and epistemology (Units 5, Module 1 and Unit 3, Module 3).

5

Review case studies, such as cyber-bullying and farmer-herdsmen conflicts, to understand the practical implications of AI (Unit 4, Module 3 and Unit 4, Module 2).

6

Practice answering essay questions that require critical analysis and evaluation of AI's potential and limitations.

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