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Questions and Answers
What is the minimum percentage required to earn a grade of C?
What is the total weight of the assignments toward the final grade?
What is the frequency of the pop-quizzes in the course?
What is required for a student to pass the course?
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How many exams will a student take in the course?
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What grading percentage corresponds to an A?
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What kind of questions may be included in the exams?
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Which of the following is a recommended reference book for the course?
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What characterizes the ability of AI to learn over time?
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What is the primary benefit of AI's speed in task execution?
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How does AI interpret visual input?
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In what way does natural language processing (NLP) enhance AI capabilities?
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Which of the following is NOT a key characteristic of AI?
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What limitation does AI have in problem-solving compared to humans?
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Which statement accurately reflects a capability of AI?
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What role does extracting information play in AI applications?
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What type of documentation is NOT accepted for extensions on tests or assignments?
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Which ethical aspect is likely to be explored in this AI course?
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What is emphasized as a critical classroom rule regarding mobile devices?
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What is one of the primary goals of the course related to AI?
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What is the primary way AI is expected to impact businesses?
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In which industry is AI anticipated to improve personalized medicine?
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What is expected of students who arrive late to class?
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What technological advancement parallels AI's expected impact on industries?
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In what way is AI transforming the healthcare industry?
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Which of the following best describes the educational strategy of the course?
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What is advised regarding communication with the instructor?
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What is a key benefit of AI in the retail industry?
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Which of the following is NOT mentioned as a benefit of AI in manufacturing?
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Which service related to AI solutions is mentioned as part of the course learning outcomes?
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What skill is emphasized as necessary to prepare for the AI revolution?
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Which application of AI is specifically used in fraud detection?
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How does AI enhance online customer support?
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Which statement best describes AI's potential in agriculture?
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What is a critical function of AI in security surveillance?
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What ethical consideration must businesses anticipate with the rise of AI?
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Which statement best describes AI's role in music and movie recommendation services?
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What possible change does AI bring to the field of education?
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What capability does AI provide in smart home devices?
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How does AI aid in responding to emails?
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Study Notes
Introduction to Artificial Intelligence (DAB 106)
- Instructor: H. Virk
- Email: [email protected]
- Office Hours: Tuesdays (10:00 AM - 11:00 AM EST), Thursdays (2:00 PM - 4:00 PM EST), Fridays (12:00 PM - 2:00 PM EST)
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Class Rules:
- Respect all classmates
- Use SCC email system for communication
- Turn off cell phones during class
- Utilize laptops for academic purposes only
- Arrive on time
- Be responsible for missed material
- Extensions on assignments require documentation (doctor’s note, bereavement notice, summons, subpoena, proof of military service)
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Course Objectives:
- Gain a comprehensive understanding of AI and its various branches
- Explore the philosophical, ethical, and practical dimensions of AI development and application
- Learn foundational knowledge of core AI concepts and Azure services
- Develop a strong foundation for future AI-related endeavors.
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Course Approach:
- Dynamic lectures covering AI essentials, evolution, and modern applications
- Practical projects translating AI theory into real-world applications
- Team-based learning to enhance understanding and foster innovation
Course Assessment
-
Assessment Components:
- Pop-Quizzes (4-6) - 20%
- Exam 1 (5-7) - 10%
- Exam 2 (1) - 25% (Must Pass to Pass Course)
- Final Exam (1) - 25%
- Project (2) - 20%
-
Grading:
- A: 80-100%
- B: 70-79%
- C: 60-69%
- D: 50-59%
- F: Below 50%
Recommended Reference Books
- Artificial Intelligence: A Modern Approach, 3rd Edition (Stuart Russell & Peter Norvig)
- Artificial Intelligence: A New Synthesis (Nils J. Nilsson)
- Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 4th Edition (Geroge F. Luger)
Top 10 Reasons to Learn AI
- AI in Healthcare - Revolutionizing patient care through predictive analytics and diagnostic processes
- AI in Mobile World - Empowering intelligent personal assistants
- AI in Automobile Industry - Driving autonomous vehicle technology with advanced driver-assistance systems
- AI in Retail Industry - Personalizing shopping experiences and streamlining supply chain management
- AI in Fraud Detection - Detecting anomalies in financial transactions to reduce financial losses
- AI in Online Customer Support - Optimizing efficiency with instant chatbots for customer service
- AI in Security Surveillance - Enhancing monitoring using facial recognition for greater responsiveness
- AI in Music and Movie Recommendation Services - Curating personalized entertainment options
- AI in Smart Home Devices - Automating home environments for convenience and efficiency
- AI in Responding to Emails - Sorting, prioritizing, and drafting quick email responses for quicker responses
What is Artificial Intelligence?
- Field of computer science focused on building systems capable of performing tasks requiring human-like intelligence
- Involves designing algorithms that allow machines to solve problems learn from experience, and adapt
- Key capabilities of AI:
- Learning and Improvement
- Understanding Human Language
- Problem-Solving
Understanding the Impact: AI as the New Electricity
- AI is poised to transform industries in a manner similar to how electricity revolutionized society
The Electrification of Industry and Its Parallel in AI
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Past: Transition from steam to electric power revolutionized transportation, manufacturing, agriculture, healthcare.
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Present: AI is the transformative force poised to redefine these industries.
Industries Anticipated to Undergo AI Transformation:
- Healthcare: Enhanced diagnostics and personalized medicine
- Finance: Advanced fraud detection and robo-advising
- Manufacturing: Increased automation and predictive maintenance
- Education: Customized learning experiences and administrative automation
- Agriculture: Precision farming and crop management
- Transportation: Self-driving technology and traffic optimization
Preparing for the AI Revolution
- Adaptive Skills: The need for continuous learning and adaptability
- Ethical Considerations: The importance of understanding and addressing the ethical implications of AI.
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Description
This quiz covers the key concepts and objectives of the Introduction to Artificial Intelligence course. Students will gain an understanding of AI branches, ethical considerations, and foundational knowledge of AI concepts and Azure services. Prepare to assess your grasp of the course material and its practical applications.
