Concepts of Database Management
9th Edition
ISBN: 9781337093422
Author: Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher: Cengage Learning
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Chapter 1, Problem 12BCE
To determine
Additional entities along with their attributes that BITS should include in its
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Refer to page 145 for problems on RL algorithms.
Instructions:
• Implement the Q-learning algorithm for a given environment (e.g., grid world).
Show the convergence of the Q-values and the resulting optimal policy.
• Analyze the effects of hyperparameters like learning rate and discount factor.
Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]
Refer to page 120 for problems on web development.
Instructions:
Design a responsive webpage using HTML, CSS, and JavaScript for the given layout.
Ensure proper rendering across devices with different screen sizes.
⚫ Test responsiveness using developer tools and explain design decisions.
Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440AZF/view?usp=sharing]
Refer to page 80 for problems on software development processes.
Instructions:
• Develop a sprint plan for a given project, including user stories and acceptance criteria.
• Simulate one sprint, showing task progress and sprint retrospective outcomes.
• Analyze team velocity and recommend improvements.
Link [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440 AZF/view?usp=sharing]
Chapter 1 Solutions
Concepts of Database Management
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- EXPLORER OPEN EDITORS Welcome com.py... Welcome xcom.py 2 ✓ DB com.py com.sql 6 8 9 10 11 12 13 14 15 16 17 com.py db class Rectangle: def _init_(self, length, width): self.length-length self.width-width def area(self): return self.width *self.length def perimeter(self): return 2+self.width*self.length y=Rectangle(5,1) print(y.area) Why does an error appear in the code print(y.perimeter) PROBLEMS OUTPUT TERMINAL DEBUG CONSOLE PORTS I > OUTLINE > TIMELINE 0A4 0 self.width *self.length AAAA NameError: name 'self' is not defined PS C:\Users\hp\Desktop\db> & C:/Users/hp/AppData/Local/Microsoft/WindowsApps/python3.12.exe c:/Users/hp/Desktop/db/com.py Traceback (most recent call last): File "c:\Users\hp\Desktop\db\com.py", line 1, in class Rectangle: File "c:\Users\hp\Desktop\db\com.py", line 7, in Rectangle self.width *self.length ^^^^^ NameError: name 'self' is not defined PS C:\Users\hp\Desktop\db> Ln 17, Col 1 Spaces: 4 UTF-8 CRLF (Python 3 A ENGarrow_forwardRefer to page 30 for problems on image edge detection. Instructions: Implement an edge detection algorithm (e.g., Sobel or Canny) for the given image. • Explain the preprocessing steps (grayscale conversion, noise reduction) and calculate gradient intensities. • Visualize and compare the results with manual edge annotations. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZ F/view?usp=sharing]arrow_forwardRefer to page 100 for problems on 2D and 3D transformations. Instructions: Compute the result of applying a sequence of transformations (e.g., translation, rotation, scaling) to a given shape. Use homogeneous coordinates for matrix representation. • Show all intermediate matrices and verify the final position of the shape. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440 AZF/view?usp=sharing]arrow_forward
- Refer to page 35 for problems involving MapReduce. Instructions: • Implement a MapReduce program to solve the given problem (e.g., word count, data aggregation). Clearly outline the map and reduce functions, showing intermediate outputs for each step. • Test the program with a sample dataset and verify the correctness of the results. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 1 for problems on file system allocation. Instructions: Compare and simulate file allocation strategies (contiguous, linked, and indexed allocation). . Create a sample file system and allocate files using each strategy, showing intermediate structures. • Analyze space utilization and access time for each method. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 105 for problems on association rule mining. Instructions: • Implement the Apriori algorithm to identify frequent itemsets from the given dataset. • Compute support, confidence, and lift for each rule and interpret the results. Test the algorithm on a sample dataset and verify all intermediate computations. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forward
- Refer to page 25 for problems on symmetric encryption techniques. Instructions: • Implement a block cipher algorithm like AES or DES for the given plaintext and key. Show the key scheduling process and all encryption steps (substitution, permutation, etc.). Verify correctness by decrypting the ciphertext and recovering the original plaintext. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440AZF/view?usp=sharing]arrow_forwardRefer to page 65 for problems on RSA encryption and decryption. Instructions: • Perform key generation by selecting primes, computing n, o(n), and e. • Encrypt the given plaintext and decrypt the ciphertext, showing all modular arithmetic calculations. • Validate your solution by confirming that decryption recovers the original plaintext. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440AZF/view?usp=sharing]arrow_forwardRefer to page 95 for problems on optimizing functions using gradient descent. Instructions: Apply gradient descent to minimize the given cost function. Derive the gradients for each parameter and show the iterative updates. • Plot the convergence of the cost function with respect to iterations and verify correctness. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forward
- Refer to page 90 for problems on parallelizing matrix multiplication. Instructions: • Implement a parallel matrix multiplication algorithm using thread-level parallelism. Analyze the speedup and efficiency compared to the sequential approach. • Include performance metrics and test the implementation on different matrix sizes. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 85 for problems involving the A* search algorithm. Instructions: Implement the A* algorithm for the given problem, defining the heuristic function explicitly. Trace the algorithm's steps, showing the open and closed lists at each iteration. • Verify the optimality of the solution by analyzing the heuristic used. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440AZF/view?usp=sharing]arrow_forwardRefer to page 12 for problems on binary search trees (BSTs). Instructions: Construct a BST for the given set of elements. • Perform in-order, pre-order, and post-order traversals, showing the sequence of visited nodes. • Implement and explain operations such as insertion, deletion, and search. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440 AZF/view?usp=sharing]arrow_forward
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