(a)
To find the relationship between students, courses and faculty members in the specified relation.
(a)
Explanation of Solution
The given relation is
The above relation Student and Faculty has many-to-many relationship since a new table is generated whose primary key is the combination of all primary key.
Since a faculty teaches many students and a student is taught by many faculties. Therefore, the relation between student and faculty is many-to-many relationship.
The relation between Student and Course has many to many relationships since a student can take many courses and a course can be taken by many students.
After creating new table, the collection of tables is as follows:
(b)
To find the relationship between students, courses and faculty members in the specified relation.
(b)
Explanation of Solution
The given relation is as follows:
Since one student can take many courses and one course is taken by many students.
Therefore, the attributes StudentNum and CourseNum in the Student relation used as the primary key shows the many-to-many relationship between StudentFaculty and Course tables.
The relation Faculty and Course has many-to-many relationship since one faculty can be assigned many course numbers and one course number can be assigned to many faculties.
After creating new table, the collection of tables is as follows:
(c)
To find the relationship between students, courses and faculty members in the specified relation.
(c)
Explanation of Solution
The given relation is as follows:
The relation StudentFaculty and Faculty has many-to-many relationship since many students have assigned many courses.
The relation Faculty and Course has many-to-many relationship as many faculties can be assigned many courses.
The relation StudentFaculty and Course has many-to-many relationship since one faculty can be assigned many course numbers and one course number can be assigned to many faculties.
Also, the relation StudentFaculty and Faculty has many to many relationships since one student is taught by many faculties and one faculty can be assigned to many students.
(d)
To find the relationship between students, courses and faculty members in the specified relation.
(d)
Explanation of Solution
The given relation is
The above relation Student and Faculty has many-to-many relationship since a new table is generated whose primary key is the combination of all primary key.
Since a faculty teaches many students and a student is taught by many faculties. Therefore, the relation between student and faculty is many-to-many relationship.
The relation between Student and Course has many tomany relationships since a student can take many courses and a course can be taken by many students.
After creating new table the collection of tables are as follows:
(e)
To find the relationship between students, courses and faculty members in the specified relation.
(e)
Explanation of Solution
The given relation is as follows:
The relation Student and Course has many-to-many relationship since many students have assigned many courses.
The relation Faculty and Course has many-to-many relationship since many faculties can be assigned to many subjects.
The relation Student and Faculty has many-to-many relationship since one faculty can be assigned many students and one student can be assigned to many faculties.
Want to see more full solutions like this?
Chapter 6 Solutions
Concepts of Database Management
- 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]arrow_forwardRefer 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]arrow_forwardEXPLORER 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_forward
- Refer 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_forwardRefer 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_forward
- Refer 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_forwardRefer 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_forward
- Refer 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_forwardRefer 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_forward
- Computer Networking: A Top-Down Approach (7th Edi...Computer EngineeringISBN:9780133594140Author:James Kurose, Keith RossPublisher:PEARSONComputer Organization and Design MIPS Edition, Fi...Computer EngineeringISBN:9780124077263Author:David A. Patterson, John L. HennessyPublisher:Elsevier ScienceNetwork+ Guide to Networks (MindTap Course List)Computer EngineeringISBN:9781337569330Author:Jill West, Tamara Dean, Jean AndrewsPublisher:Cengage Learning
- Concepts of Database ManagementComputer EngineeringISBN:9781337093422Author:Joy L. Starks, Philip J. Pratt, Mary Z. LastPublisher:Cengage LearningPrelude to ProgrammingComputer EngineeringISBN:9780133750423Author:VENIT, StewartPublisher:Pearson EducationSc Business Data Communications and Networking, T...Computer EngineeringISBN:9781119368830Author:FITZGERALDPublisher:WILEY