Question: Q3: Please just leave if you cant answer it complete - Can you generate a scatter plot of the number of undergraduate students versus the
Q3: Please just leave if you cant answer it complete - Can you generate a scatter plot of the number of undergraduate students versus the tuition for all the universities in USA? Submit the R code and visualization. Moreover details for the question - 1. Company XYZ has 23 blocks of building for its business operation, where each block has 7 floors. The distance between each floor is 7 meters. The blocks are connected with each through an underground tunnel. The distance between blocks is 30 meters. Each block has its own server room for housing servers and network devices. Each floor has its own telecommunication closet and the floor can be occupied up to a maximum of 20 staffs. Company XYZ has 23 different departments as follow: (b) A breadth-first traversal of a tree walks over all the nodes at each level before proceeding to the next level. For example the breadth-first traversal of the tree: 1 2 3 4 5 6 7 visits the nodes in the order 1, 2, 3, 4, 5, 6, 7. Define a function breadth: 'a tree -> 'a list such that breadth(t) returns the nodes of tree t in breadth-first order. [10 marks] (c) Define a polymorphic datatype 'a seq to represent lazy lists. [1 mark] (d) Define a polymorphic datatype 'a ltree to represent lazy binary trees. [3 marks] (e) Define a function inorder of type 'a ltree -> 'a seq that traverses a lazy tree in-order, returning the nodes in a lazy list. (You should define any auxiliary functions you may use.) [5 marks] 10 CST.2004.13.11 11 Natural Language Processing (a) Give brief definitions of the following terms: (i) referring expression; (ii) cataphora; (iii) pleonastic pronoun. [6 marks] (b) Describe the Lappin and Leass algorithm for pronoun resolution, illustrating its operation on the text below. Exact weights for salience factors are not required. Owners love the new hybrid cars.Compiler Construction (a) Explain the differences (illustrating each with a small program) between (i) static and dynamic binding (scoping); [4 marks] (ii) static and dynamic typing. [2 marks] (b) Java is sometimes said to be "dynamically typed" in that a variable whose type is (class) C can be assigned a value of (class) D provided that D extends C; conversely a variable of type D can be assigned a value of type C using a cast. By considering storage layouts, explain why the former assignment is always valid and the latter sometimes invalid. 6 CST.2004.13.7 8 Artificial Intelligence In the following, N is a feedforward neural network architecture taking a vector x T = ( x1 x2 xn ) of n inputs. The complete collection of weights for the network is denoted w and the output produced by the network when applied to input x using weights w is denoted N(w, x). The number of outputs is arbitrary. The complete collection of weights for the network is denoted w and the output produced by the network when applied to input x using weights w is denoted N(w, x). The number of outputs is arbitrary. We have a sequence s of m labelled training examples s = ((x1, l1),(x2, l2), . . . ,(xm, lm)) where the li denote vectors of desired outputs. Let E(w; (xi , li)) denote some measure of the error that N makes when applied to the ith labelled training example. Assuming that each node in the network computes a weighted summation of its inputs, followed by an activation function, such that the node j in the network computes a function g w (j) 0 + X k i=1 w (j) i input(i) ! of its k inputs, where g is some activation function, derive in full the backpropagation algorithm for calculating the gradient E w = E w1 E w2 E wW T for the ith labelled example, where w1, . . . , wW denotes the complete collection of W weights in the network. [20 marks] 7 [TURN OVER CST.2004.13.8 8 Databases (a) Define the operators of the core relational algebra. [5 marks] (b) Let R be a relation with schema (A1, . . . , An, B1, . . . , Bm) and S be a relation with schema (B1, . . . , Bm). The quotient of R and S, written R S, is the set of tuples t over attributes (A1, . . . , An) such that for every tuple s in S, the tuple ts
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