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Transcript
Subject Description Form
Subject Code
EIE1D01 (CAR STE Subject)
Subject Title
Artificial Intelligence: Current Issues, Science Fiction, and Future Challenges
Credit Value
3
Level
1
Pre-requisite /
Co-requisite/
Exclusion
Nil
Objectives
1. To inspire student interest in artificial intelligence (AI) by exploring
applications of AI and its impact to human beings' life.
2. To stimulate students' critical thinking and imagination through the study of
AI.
Intended Learning
Outcomes
Upon completion of the subject, students will be able to:
Category A: Professional/academic knowledge and skills
1. Understand the benefits and limitations of current AI techniques, its culture
and society impacts, philosophical issues, and possible future development.
2. Appreciate basic AI problems and approaches.
3. Appreciate the basic design concepts of AI games and typical AI systems.
4. Explore the applications of AI techniques and humanoid robotics in everyday
life, entertainment and industry.
Category B: Attributes for all-roundedness
5. Think critically and creatively.
6. Recognize social responsibility and ethics.
Subject Synopsis/
Indicative Syllabus
1. Introduction
Definitions of AI, Brief History of AI, the State of the Art
2. Philosophy of AI
Human Intelligence, Turing Test, Simulation of Brain, Consciousness,
Minds, Free Will, Machine Emotion, Digital Soul
3. AI Problems
Deduction, Reasoning, Problem Solving, Knowledge Representation,
Leaning, Natural Language Processing, Perception, General Intelligence,
Social Intelligence, Creativity
4. Introduction to AI Approaches
Cybernetics and Brain Simulation, Symbolic, Sub-symbolic, Statistical
5. AI Games
AI Games, State-of-the-Art Game Programs, Deep Blue (Chess
Computer), Creatures, The Sims, Sim City
6. Asimov’s Robots and Robotics
The Three Laws of Robotics, Positronic Robots, Embodiment, Humanoid
Robotics, Entertainment Robots, Industrial Applications, Robotic
Technology in Everyday Life
7. Artificial Intelligence in Science Fiction Movies
The Terminator” (1984, 1991, 2003, 2009) and “Robocop” (1987, 1990,
1993): Cybrog, Hybrid of Man and Machine, Morality, Free Will, Empathy
“2001: A Space Odyssey” (1968): HAL 9000, Speech Recognition, Natural
Language Processing, Facial Expression Recognition, Art Appreciation,
Reasoning, Emotional Behaviors
“A.I. Artificial Intelligence” (2001): Humanoids, Thoughts and Emotions
8. Future Directions of AI
Embodied Cognition, Automatic Language Acquisition, Hybrid Systems,
Biorobotics, Artificial Life, Evolutionary Robotics
9. Culture and Society Impacts
Culture and Society Impacts of AI, Ethics and Risks of Developing AI
Solutions.
Teaching/Learning
Methodology
Teaching and
Learning
Method
Intended
Subject
Learning
Outcome
Remarks
Lecture
1, 2, 3, 4, 6
fundamental
principles
and
key
concepts of the subject are delivered to
students;
guidance on further readings is given.
Tutorials/
Demos
1, 2, 3, 4
supplementary to lectures and are
conducted with smaller class size;
students will be able to clarify concepts
and to have a deeper understanding of
the lecture material;
problems and application examples are
given and discussed.
Assignments
1, 2, 3, 4, 5
Through working assignment and endof-chapter problems in text books,
students
will
develop
a
firm
understanding and comprehension of
the knowledge taught.
One long assignment will ask students
to read a science fiction and to identify
the AI techniques described in the
literature.
Research and
essay/report
writing
Assessment
Methods in
Alignment with
Intended Learning
Outcomes
1, 2 or 3, 4,
5, 6
Specific Assessment
Methods/Tasks
Each student will do research on a
relevant AI topic chosen by the student
and write up an essay/report of 3000
words. In the writing, students are
required to propose the possible
applications of AI techniques and
approaches learnt to daily life.
%
Weighting
Intended Subject Learning
Outcomes to be Assessed
(Please tick as appropriate)
1
1. Continuous
Assessment
60%

Tests
25%

Assignments
10%

Research and
essay/report writing
25%
2. Examination
40%
Total
100%
2
3
4
5
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6
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Explanation of the appropriateness of the assessment methods in
assessing the intended learning outcomes:
Student Study Effort
Expected
Specific Assessment
Methods/Tasks
Remark
Assignments, tests and
examination
- End-of chapter type problems used to evaluate
students’ ability in applying concepts and skills
learnt in the classroom;
- Students need to think critically and creatively in
order to come with an alternate solution for an
existing problem.
Essay/report writing
- Each student is required to write up an essay or
to produce a written report;
- Accuracy, organization, technical content, and the
presentation of the essay/report will be assessed.
Class contact:
 Lecture
26 Hours
 Tutorials/Seminars/Demos
13 Hours
 Other student study effort:
 Self-learning (review of materials, intensive reading of
science fiction novels, watching science fiction
movies, preparation for tests and examination)
 Assignments
12 Hours
 Research and essay/report writing
20 Hours
Total student study effort:
Reading List and
References
35 Hours
106 Hours
References:
1. G.F. Luger, Artificial Intelligence: Structures and Strategies for Complex
Problem Solving, 6th ed., Pearson Education, 2009.
2. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 3rd ed.,
Prentice-Hall, 2009.
3. R. Pfeifer and J. Bongard, How the Body Shapes the Way We Think: a New
View of Intelligence, The MIT Press, 2007.
4. T.M. Georges, Digital Soul: Intelligence Machines and Human Values,
Westview Press, 2003.
5. J.S. Hall, Beyond AI: Creating the Conscience of the Machine, Prometheus
books, 2007.
6. J.P. Hogan, Mind Matters: Exploring the World of Artificial Intelligence, The
Ballantine Publishing Group, 1997.
7. Selected science fiction novels and movies.
8. Selected publications from relevant journals.
Last Updated
April 2014
Prepared by
Dr Z. Chi