About this course
Dr. A.P.J. Abdul Kalam Technical University (AKTU)
AI For Engineering
Common to All Branches
B.TECH -First year
Sem 1 & 2
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Unit-1: An Overview to AI
14 Parts
- 1:10 Hr
Que 1.1. What do you mean by artificial intelligence? Define its goals.
Important
5 Min
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Que 1.2. What are the different branches of artificial intelligence? Discuss some of the branches and progress made in their field.
Very Important
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Que 1.3. Define the role of the machine intelligence in the human life.
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Que 1.4. Describe briefly the evolution of artificial intelligence.
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Que 1.5. What are the different approaches to Al?
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Que 1.6. What are the advantages and disadvantages of machine learning?
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5 Min
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Que 1.7. Differentiate between machine learning and deep learning.
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Que 1.8. What are the applications of deep learning?
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Que.1.9. Describe the applications of artificial intelligence.
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Que 1.10. What engineers need to know about Artificial Intelligence?
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Que 1.11. What are the responsibilities of an AI Engineer?
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Que 1.12. What are the emerging technologies in artificial intelligence?
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5 Min
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Que 1.13. What do you understand by ethics of artificial intelligence ?
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5 Min
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Que 1.14. What are the ethical problems in Artificial Intelligence?
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5 Min
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Unit-2: Data and Algorithms
19 Parts
- 1:35 Hr
Que 2.1. Explain data, information and knowledge.
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5 Min
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Que 2.2. What is data storage?
Important
5 Min
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Que 2.3. Describe the types of data storage ?
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Que 2.4. Why in data important?
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5 Min
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Que 2.5. What do you mean by Data Acquisition?
Important
5 Min
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Que 2.6. Discuss the types of Data Acquisition Systems.
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5 Min
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Que 2.7. What are the various stages of data processing?
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5 Min
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Que 2.8. What are the different forms of data processing?
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Ques.2.9. Describe data visualization.
Very Important
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Que2.10. Write down the Characteristics of data Visualization.
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Ques.2.11. Discuss the categories of Data visualization?
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Que 2.12. Discuss about classification and its types.
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Que 2.13. Discuss about regression and its types.
Important
5 Min
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Que.2.14. Differentiate between regression and classification algorithm.
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5 Min
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Que 2.15. What is prediction in AI?
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5 Min
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Que 2.16. What do you mean by clustering? What are the different types of clustering?
Important
5 Min
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Que 2.17. Explain the different data types used in cluster analysis.
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5 Min
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Que 2.18. What is recommender system?
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5 Min
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Que 2.19. Discuss the two methods to construct a recommender system.
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5 Min
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Unit-3: Natural Language Processing
19 Parts
- 1:35 Hr
Que 3.1. Discuss the term speech recognition.
Important
5 Min
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Que3.2. What are the most commonly used algorithms for speech recognition?
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5 Min
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Que 3.3. What are the applications of speech recognition?
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5 Min
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Que 3.4. What are the Techniques for Speech Recognition?
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5 Min
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Que 3.5. What do you mean by natural language processing? Why it is needed?
Important
5 Min
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Que 3.6. What do you mean by natural language understanding?
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5 Min
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Que.3.7. Give some examples of natural language understanding?
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5 Min
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Que 3.8. Describe natural language generation.
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5 Min
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Que 3.9. What are the typical stages of natural language generation?
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Que.3.10. What are the three basic techniques for evaluating NLG systems?
Important
5 Min
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Que 3.11. What are the applications of natural language processing?
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5 Min
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Que 3.12. What are chatbots ? What are the models of chatbots?
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5 Min
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Que 3.13. What are the types of chatbots?
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5 Min
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Ques.3.14. How a chatbot works ?
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5 Min
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Que.3.15. What are the benefits of chatbots ?
Important
5 Min
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Que 3.16. Mention the characteristics/features of a chatbot.
Important
5 Min
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Que 3.17. What do you understand by machine translation? What are various types of machine translation systems?
Important
5 Min
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Que.3.18. What are the three major approaches of machine translation ?
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Que 3.19. Design the process of machine translation with the help of flowchart.
Important
5 Min
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Unit-4: Artificial Neural Networks
16 Parts
- 1:20 Hr
Que 4.1. Describe artificial neural network (ANN)?
Important
5 Min
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Que 4.2. What are the types of artificial neural network?
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5 Min
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Que 4.3. What do you understand by deep learning?
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5 Min
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Que 4.4. Explain the history of deep learning.
Important
5 Min
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Ques. 4.5. Discuss the algorithm used for deep Learning.
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5 Min
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Que 4.6. What are the applications of deep learning?
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5 Min
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Que 4.7. What is recurrent neural network?
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5 Min
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Que 4.8. What are the advantages and disadvantages of recurrent neural network?
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5 Min
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Que 4.9. Write down the Applications of Recurrent Neural Networks.
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5 Min
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Que 4.10. What arc the different types of Recurrent Neural Networks?
Important
5 Min
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Que 4.11. Describe convolutional neural networks.
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5 Min
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Que 4.12. Explain the layers in a convolutional neural network.
OR
What are the basic building blocks of CNN?
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Ques.4.13. Explain training of convolutions! architecture.
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5 Min
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Que.4.14. Explain Universal Approximation Theorem.
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5 Min
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Que 4.15. Discuss Generative Adversarial Network (GAN).
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5 Min
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Que 4.16. What are the advantages and disadvantages of GAN? Also give the application of GAN.
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5 Min
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Unit-5: Applications
22 Parts
- 1:50 Hr
Que 5.1. What is image recognition?
Important
5 Min
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Que 5.2. How image recognition actually works?
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5 Min
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Que 5.3. What are the uses of AI image recognition?
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5 Min
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Que 5.4. Discuss face recognition in deep learning.
Important
5 Min
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Que 5.5. Explain the steps used in face recognition.
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5 Min
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Que5.6. Discuss the application of face (facial) recognition.
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5 Min
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Que 5.7. What are the issues related with face recognition?
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5 Min
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Que 5.8. How is deep learning used in facial recognition?
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5 Min
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Que 5.9. What is Object Recognition?
Important
5 Min
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Que 5.10. What are the two approaches to perform object recognition using deep learning?
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5 Min
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Que.5.11. What are the four main tasks of object recognition?
Important
5 Min
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Que 5.12. Explain speech recognition in detail. Write its application.
AKTU
5 Min
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Que 5.13. Write a short note on speech processing.
Important
5 Min
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Que 5.14. What is computer vision? What are the types of computer vision?
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5 Min
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Que 5.15. What are the tasks of computer vision?
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5 Min
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Que 5.16. What are Robots? What is Robotics?
Important
5 Min
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Que.5.17. Difference between AI program and Robot System ?
IMPORTANT
5 Min
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Que 5.18. How do Robots and Artificial Intelligence work together?
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5 Min
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Que 5.19. What are the Components of a Robot?
Important
5 Min
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Ques.5.20. Describe robot locomotion. What are types of locomotion?
Important
5 Min
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Que 5.21. Discus the robotic applications that use Artificial Intelligence?
Very Important
5 Min
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Que 5.22. What are the various domains of applications of Robotics?5
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5 Min
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Short Questions (Unit-1 to Unit-5)
31 Parts
- 2:35 Hr
Q.1. Define artificial intelligence? What are the goals of AI?
AKTU
5 Min
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Q.2. Define machine learning and deep learning.
AKTU
5 Min
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Q.3. What are the responsibilities and emerging technologies of an AI Engineer?
AKTU
5 Min
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Q.4. What is speech analytics?
AKTU
5 Min
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Q.5. Discuss the applications of artificial intelligence and applications of deep learning.
Very Important
5 Min
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Q.6. Define data. What is data storage and types of data storages?
AKTU
5 Min
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Q.7. Define data acquisition and data cleaning and data integration.
AKTU
5 Min
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Q.8. What is data visualization? What are the categories of data visualization?
AKTU
5 Min
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Q.9. Define classification.
AKTU
5 Min
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Q.10. What is clustering?
AKTU
5 Min
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Q.11. Define recommender system.
AKTU
5 Min
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Q.12. Define speech recognition. What are the applications of speech recognition?
Important
5 Min
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Q.13. Define natural language processing. Write down the applications of NLP.
AKTU
5 Min
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Q.14. Define Feature Extraction Technique.
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5 Min
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Q.15. Define Natural Language Understanding (NLU) and Natural Language Generation (NLG).
Important
5 Min
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Q.16. What are chatbots? What are the two main models for a chatbot? What are the benefits of chatbots?
AKTU
5 Min
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Q.17. Define Machine translation. What are the types of translation system?
AKTU
5 Min
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Q.18. What are the types of artificial neural network?
AKTU
5 Min
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Q.19. What are the algorithms used for deep learning?
AKTU
5 Min
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Q.20. Define recurrent neural network. Write down the disadvantages of recurrent neural network?
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5 Min
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Q.21. What is Convolutional Neural Networks (CNNs) and What is Generative Adversarial Networks (GANs)?
AKTU
5 Min
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Q.22. Write down the applications of recurrent neural network. What are the Types of Recurrent Neural Networks?
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5 Min
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Q.23. Write down the Layers in a Convolutional Neural Network (CNN).
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5 Min
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Q.24. What are the advantages and disadvantages of GAN?
Important
5 Min
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Q.25. What is image recognition? Write down the steps in image recognition process.
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5 Min
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Q.26. Define face recognition and speech recognition.
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5 Min
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Q.27. What is object recognition? What are the main tasks of object recognition?
AKTU
5 Min
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Q.28. What is computer vision? What are the tasks of computer vision?
Important
5 Min
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Q.29. What are Robots?
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5 Min
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Q.30. What are types of locomotion?
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5 Min
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Q.31. Define robot locomotion.
AKTU
5 Min
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Solved Paper (2020-21)
1 Parts
- 0:05 Hr
(SEM. I) ODD SEMESTER THEORY EXAMINATION, 2020-21
Question Papers
5 Min
Attachments:
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