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1. For the ER diagram you created in assignment, the artefact of the conceptual database design, map the ER model into the relational model according to how it was designed in the ER diagram. You may however first refine your ER diagram if necessary. The actual assessment of this part is in the point below.
2. For all the relations that arise from this ("first-cut") ER diagram, list all those that are already in 3NF. If there are some relations that are not in 3NF yet, then convert them into 3NF with proper procedure and explanations.
3. Draw the global relation diagram for your final, revised, and normalised database design, and keep all the relevant details there. It should be in a similar form to Figure of the textbook, but all the attributes should be kept there too. Include in the diagram all the primary keys, foreign keys, and the multiplicity constraints. Identify and discuss the potential data redundancies or anomalies that may still exist in your design, if any.
Given are the definitions of some important terms: 1) Field: This is an elementary data item characterized by its size, length and type. For instance, Name
In this project you will write a program to produce a discrete time simulation of a queue as shown in Fig. 1. Time is slotted on the input and the output. Each input packet follows
An AVL tree is a binary search tree that has the given properties: The sub-tree of each of the node differs in height through at most one. Each sub tree will be an AVL tre
1. Show the effect of each of the following operations on queue q. Assume that y (type Character) contains the character ‘&’. What are the final values of x and success (type boole
write an algorithm to insert an element at the beginning of a circular linked list?
I want to example for midsquare method
What is complexity of an algorithm? What is the basic relation between the time and space complexities of an algorithm? Justify your answer by giving an example.
The complexity of searching an element from a set of n elements using Binary search algorithm is O(log n)
Here, m represents the unordered array of elements n represents number of elements in the array and el represents the value to be searched in the list Sep 1: [Initialize]
How many recursive calls are called by the naïve recursive algorithm for binomial coefficients, C(10, 5) and C(21, 12) C(n,k){c(n-1,k)+c(n-1,k-1) if 1 1 if k = n or k = 0
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