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The aims of this homework to give you some practice with:


Write XML DTDs or Xshema.


Generate tagged XML data


Write Xquery queries on the data and execute


Compare the XML and RDBMS models of the data

You have the following files:


ulty.txt Contains information about faculty members, their research interests,
where they got their highest degree and when they got it


OfficeHours.txt: contains information about the office hours, and office numbers
of the faculty


Phonebook.txt: Contains
the phone numbers, office numbers and email addresses
of the faculty.


CourseListing.txt: Contains information about the courses offered in the

Task1. You are required to generate an XML file to store this data. This involves


Deciding on a sche
ma for the data, and writing a DTD or Xschema for it


Translating the raw data into tagged XML data (where the tags are decided
by the schema you designed).

In doing the second task, you are

to write a program that tags the data
You can also tag it manually (since the data is small enough).

Task2. Express each of the following as Xquery queries on the data you generated
in Task 1. Execute them on an Xquery query engine (information below)


(Selection/Projection) Generate a file c
ontaining the Names of faculty
members and their office numbers.


(Reformatting) Re
do the previous query so that the ouput is an HTML
page which, which rendered by a browser, will list, one per line, the name
of the faculty members (in bold), and their of
fice numbers (in italics).


(Constraints) Find all the associate professors who got their PHD degree
after 1990. Output their names and research interests and email addresses.


(Join/Integrate) Find all the professors who are interested in artificial
ligence or databases, and output the name, title, research interests and
courses offered.


two more queries of your own.

You will run the Xquery using the Xquery tool such as

You are free to

use any other Xquery engine. If you have anyqusetion regarding
installation etc, contact TA.

Task 3. Do Task 1, but convert the data into a relational database format (Tables).
Describe the list of tables you will need and their schemas.

Task 4. Do Task

3, but write the queries in SQL. In some cases, you may need a
union of SQL queries.


Stephen S. Yau, Professor and Chair, Ph.D. University of Illinois at
Champaign, 1961, Software engineering, parallel processing and
distributed compu
ting systems, embeded systems.

Edward A. Ashcroft, Professor, Ph.D. University of London (Imperial
College), England, 1970, Program verification, declarative language,
intensional programming, high
level parallel programming language,
language Lucid.

hitta Baral, Associate Professor, Ph.D. University of Maryland, 1991,
Artificial intelligence, multimedia, visualization of databases.

Rida A. Bazzi, Assistant Professor, Ph.D. Georgia Institute of
Technology, 1994, Distributed computing, software engine
ering for
distributed systems, fault
tolerance algorithms, computer vision.

Sourav Bhattacharya, Associate Professor, Ph.D. University of
Minnesota, 1993, Networked and parallel computing, dependable
communication, ATM networks.

K. Selcuk Candan, Assis
tant Professor, Ph.D. University of Maryland,
1997, Distributed multimedia systems, video servers for video
systems, content based video indexing, query / retrieval of multimedia
data, security, query processing.

James S. Collofello, Professor,

Ph.D. Northwestern University, 1978,
Software engineering, project management.

Partha Dasgupta, Associate Professor, Ph.D. State University of New
York at Stony Brook, 1984, Distributed operating systems, system

Joseph DeLibero, Lecturer, M.
S. Purdue University, 1972.

Suzanne W. Dietrich, Associate Professor, Ph.D. State University of New
York at Stony Brook, 1987, Databases, knowledge management, object
management, active features.

Leonard Faltz, Associate Professor, Ph.D. University of
Berkeley, 1977, Formal linguistics, computational linguistics.

Gerald E. Farin, Professor, Ph.D. Technical University of Braunschweig,
1979, Computer aided geometric design, NURBS.

Nicholas V. Findler, Professor Emeritus, Ph.D. Budapest Uni
versity of
Technical Sciences, 1956, Artificial intelligence, heuristic
programming, expert systems, pattern recognition, information

Barbara Gannod, Lecturer, Ph.D. Michigan State University, 1997, Pure
and applied graph theory, algorithm des
ign and analysis, parallel
processing, engineering education.

Gerald C. Gannod, Assistant Professor, Ph.D. Michigan State University,
1998, Software engineering, formal methods for software development,
reverse engineering, reengineering, object

analysis and

Sumit Ghosh, Associate Professor and Associate Chair for Research and
Graduate Programs, Ph.D. Stanford University, 1984, Networking and
distributed algorithms.

Forouzan Golshani, Professor, Ph.D. University of Warwick, England,
982, Multimedia information system, digital video processing, advanced
databases, intelligent systems.

Ben M. Huey, Associate Professor and Associate Dean for Planning and
Administration, College of Engineering and Applied Science, Ph.D.
University of Ar
izona, 1975, Language
based models for architecture,
silicon compilation, design verification, automatic test generation.

Subbarao Kambhampati, Professor, Ph.D. University of Maryland, 1989,
Artificial intelligence, automated planning, machine learning.

William E. Lewis, Professor and Vice Provost for Information
Technology, Ph.D. Northwestern University, 1966, Analytical modelling,
information systems.

Huan Liu, Associate Professor, Ph.D. University of Southern Califonia,
1989, Data mining, Data ware
housing, artificial intelligence, machine

Donald S. Miller, Associate Professor, Ph.D. University of Southern
California, 1972, Address space operating systems, distributed and
multiprocessor operating systems, computer architecture, local area


Faye Navabi, Lecturer, M.S. University of Southwestern Louisiana, 1991.

Gregory M. Nielson, Professor, Ph.D. University of Utah, 1970,
Interactive design of curves and surfaces, multivariate data fitting,
aided geometric design, com
puter graphics, visualization of
scientific computing.

Pearse O'Grady, Associate Professor and Associate Chair for
Undergraduate Programs, Ph.D. University of Arizona, 1969, Parallel
processing, computer architecture, continuous system simulation.

uraman Panchanathan, Associate Professor, Ph.D. University of
Ottawa, 1989, Multimedia computing and communications, multimedia
hardware architectures, VLSI architectures for real
time video
processing, indexing / storage / browsing / retrieval of image an

David C. Pheanis, Associate Professor, Ph.D. Arizona State University,
1974, Software/hardware interface in embedded microprocessor system,
time system.

Andrea W. Richa, Assistant Professor, Ph.D. Carnegie Mellon University,
1998, Design a
nd analysis of algorithms, algorithms for distributed
networks, graph algorithms, approximation algorithms, combinatorial
optimization, distributed network architectures, parallel computation.

Arunabha Sen, Associate Professor, Ph.D. University of Southe
Carolina, 1987, Parallel computing, computer interconnection networks,
combinatorial optimization.

Tek Tsai, Professor, Ph.D. University of California, Berkeley,
1986. Software engineering, internet, parallel and distributed

Joseph E
. Urban, Professor, Ph.D. University of Southwestern Louisiana,
1977, CASE, computer languages, data engineering, distributed
computing, executable specification languages, software prototyping.

Susan D. Urban, Associate Professor, Ph.D. University of So
Louisiana, 1987, Active database systems, heterogeneous database
systems, object
oriented database systems.

Michael G. Wagner, Assistant Professor, Ph.D. Technical University of
Vienna, 1994, Computer
aided geometric design, geometric modeling

processing, computer animation, theoretical kinematics, robotics and
robot dynamics.

Richard Whitehouse, Lecturer, M.S. University of Tennessee, 1985.

Marvin C. Woodfill, Professor Emeritus, Ph.D. Iowa State University,
1964, Digital logic, microc

Goran Konjevod, Assistant Professor, Ph.D. Carnegie Mellon University,
2000, Design and analysis of algorithms, combinatorial optimization,
graph theory, discrete mathematics.

Hang Lee, Professor, PhD. University of Michigan, Ann Arbor,1
time systems, computer communication, computer architecture,
tolerant computing, distributed/parallel systems, and performance

Sandeep K S Gupta, Associate Professor, Ph.D. Ohio State
University,1995, Mobile computing, compiler
s, parallel computing,
parallel I/O.


Sheikh Iqbal Ahamed (GWC 328)

M 9:45

10:45 am

T 11:30 am

12:30 pm

Th 4:45

5:45 pm

Donald Alpert (GWC 384)

Th 4

5 pm

Or by appointment

Chitta Baral (GWC 366)

TTh 4:40

5:40 pm

Rida Bazzi (
GWC 336)

M 11:30

12:30 pm

W 3:05

4:05 pm

Th 10:30
11:30 am

Sourav Bhattacharya (GWC 221)

TTh 11 am

1 pm

Selcuk Candan (GWC 370)

T 2:30

4 pm

W 3:30

4:30 pm

Yinong Chen (GWC 228)

TTh 10:30 am

12:30 pm

James Collofello (GWC 310)

MF 10

11:30 am

W 12:40

1:30 pm

Joseph DeLibero (GWC 382)

F 7

7:30 am

MWF 9:45

10:15 am

TTh 9

9:30 am

Suzanne Dietrich (GWC 368)

T 3

4 pm

W 9:30
10:30 am

Th 3

4 pm

Leonard Faltz (GWC 314)

W 2

3:30 pm

Th 10

11:30 am

Or by appo

Gerald Farin (GWC 340)

TTh 10:30


W 12

1 pm

Nicholas Findler (GWC 311)

T 2

3 pm

Barbara Gannod (GWC 378)

M 9:45

10:45 am, 2:45

4:30 pm

W 9:45

10:45 am, 2:45

3:45 pm

F 9:45

10:45 am

Gerald Gannod (GWC 324)

T 10

0 am

Th 3:15

4:30 pm

Or by appointment

Sumit Ghosh (GWC 206)


2 pm

Forouzan Golshani (GWC 351)

MW 2:30

3:15 pm

T 11
12 am

Sandeep Gupta (GWC 224A)

TTh 10
11:30 am

Ben Huey (GWC 374)

TTh 2:30
3:30 pm

or by appointment

Lance Johnso
n (GWC 354)

MW 6:30
7:30 pm

Subbarao Kambhampati (GWC 374)

MW 3

4 pm

Goran Konjevod (GWC 312)

TTh 4:30
6 pm

Hang Lee (GWC 224B)

MW 4

5:30 pm

Huan Liu (GWC 342)

MWF 8:50
10:10 am

or by appointment

Stephanie Ludi (GWC 376)

MW 1
0:40 am
12:20 pm

Donald Miller (GWC 348)

W 10

11 am

Th 12:10

1:10 pm

TTh 8

8:30 am (EC G236)

Mutsumi Nakamura (GWC 376)

MW 10:30

11:15 am

F 10:30 am

12 pm

Faye Navabi (GWC 380)


2:15 pm

T 10:30

12 am

Gregory Nielson (GWC 33

T 6:30

7:30 pm

Th 4:15

5:15 pm

Or by appointment

Pearse O'Grady (GWC 206)

W 2:30

3:30 pm

David Pheanis (GWC 318)

MW 8

9 am, 2

3 pm, 5

6:30 pm

Th 6:30

7:30 pm

Perry Reinert (GWC 322)

TTh 6

7 pm

Andrea Richa (GWC 344)

T 2

0 pm

W 10:30

11:30 am

Chuck Riden (GWC 382)


3 pm

Or by appointment

Mouli Subramanian (GWC 228)

TTh 6

7:30 pm

Tek Tsai (GWC 356)

MW 3

4 pm

Renee Turban (GWC 328)

MW 5:50


Joseph Urban (GWC 358)

MW 3

4 pm

T 11 am

2 pm

Susan Urban (GWC 372)

T 9:15

10:15 am

W 1

2 pm

Th 9:15

10:15 am

Richard Whitehouse (GWC 322)

MF 1

2 pm

TTh 9

10 am

Stephen Yau (GWC206)

TTh 4:30

6 pm



Faculty Office Phone E


Edward GWC 320 5
7544 ed.ashcroft@asu.edu

Baral, Chitta GWC 366 7
6047 chitta@asu.edu

Bazzi, Rida GWC 336 5
2796 bazzi@asu.edu

Bhattacharya, Sourav GWC 334 5
5190 sourav@asu.edu

Candan, Kasim GWC 370 5
2770 candan@asu.edu

Collofello, Jim GWC 310 5
33 james.collofello@asu.edu

Dasgupta, Partha GWC 326 5
5583 partha.dasgupta@asu.edu

DeLibero, Joseph GWC 382 5
1493 joseph.delibero@asu.edu

Dietrich, Suzanne GWC 368 5
2786 dietrich@asu.edu

Faltz, Leonard GWC 314 5
1581 faltz@asu.edu

Farin, Gerald GWC

340 5
5142 farin@asu.edu

Findler, Nicholas GWC 311 5
5934 nicholas.findler@asu.edu

Gannod, Barbara GWC 378 5
1757 bgannod@asu.edu

Gannod, Gerald GWC 324 7
4475 ggannod@asu.edu

Ghosh, Sumit GWC 206 5
3190 sumit.ghosh@asu.edu

Golshani, Forouzan GWC 351

2855 golshani@asu.edu

Huey, Ben ECG 107 7
6476 ben.huey@asu.edu

Kambhampati, Rao GWC 374 5
0113 rao@asu.edu

Konjevod, Goran GWC 312 5
2783 goran.konjevod@asu.edu

Lee, Yann
Hang GWC 224B 7
7507 yhlee@asu.edu

Lewis, William CPCOM 462 5
0699 william.l

Liu, Huan GWC 342 7
7349 Huan.Liu@asu.edu

Miller, Donald GWC 348 5
5935 donald.miller@asu.edu

Navabi, Faye GWC 380 5
3228 navabi@asu.edu

Nielson, Gregory GWC 338 5
2785 nielson@asu.edu

O’Grady, Pearse GWC 206 5
3190 ogrady@asu.edu

nathan,Sethuraman GWC 362 5
3699 panch@asu.edu

Pheanis, David GWC 318 5
7389 pheanis@asu.edu

Richa, Andrea GWC 344 5
7555 aricha@asu.edu

Robbins, Earl GWC 354 7
6910 earl.robbins@asu.edu

Sen, Arunabha GWC 347 5
6153 arunabha.sen@asu.edu

Tsai, Wei
GWC 356 7
6921 Wei

Urban, Joseph GWC 358 5
3374 urban@asu.edu

Urban, Susan GWC 372 5
2784 s.urban@asu.edu

Wagner, Michael GWC 346 5
1735 wagner@asu.edu

Whitehouse, Richard GWC 322 5
3983 row@asu.edu

Woodfill, Marvin GWC 316 5
3689 mar

Yau, Stephen GWC 206C 5
3190 yau@asu.edu


100 Introduction to Computer Science I. (3)

Concepts of problem solving, algorithm design, structured programming,
fundamental algorithms and techniques, and computer systems co
Prerequisite: MAT 170. Instructor: J. DELIBERO.

110 Principles of Programming with Java. (3)

Concepts of problem solving using Java, algorithm design, structured
programming, fundamental algorithms and techniques, and computer
systems concepts. Pr
erequisite: MAT 170. Instructor: N. TADAYON.

120 Digital Design Fundamentals. (3)

Number systems, conversion methods, binary and complement arithmetic,
boolean and switching algebra, circuit minimization. ROMs, PLAs,
flipflops, synchronous sequential circ
uits, and register transfer
design. Lecture, lab. Prerequisite: Computer Literacy. Instructor: W.

180 Computer Literacy. (3)

Introduction to general problem
solving approaches using widely
available software tools such as database packages, word

spreadsheets, and report generators. Instructor: C. RIDEN.

181 Applied Problem Solving with Visual BASIC. (3)

Introduction to systematic definition of problems, solution
formulation, and method validation. Computer solution using Visual

required for projects. Prerequisite: MAT 117. Instructor: N.

185 Internet and the World Wide Web. (3)

Fundamental Internet concepts. World Wide Web browsing, searching,
publishing, advanced Internet productivity tools.

200 Concepts of Computer

Science. (3)

Overview of algorithms, architecture, languages, computer systems,
theory. Problem solving by programming with a high
level language (Java
or another) . Prerequisites: CSE 100 or CSE 110. Instrcutor: H. LIU.

210 Object
Oriented Design and Da
ta Structures(3)

Object Oriented Design, Static and Dynamic Data Structures (Strings,
Stacks, Queues, Binary Trees), Recursion, Searching and Sorting,
Professional Responsibility. Prerequisite : CSE 200. Instructor: S.

225 Assembly Language Progra
mming (Motorola). (4)

Assembly language programming, register level computer organization,
data structure and addressing modes, assemblers, and linkers.
Prerequisite: CSE 100 or CSE 200. Instructor: L. JOHNSON.

226 Assembly Language Programming (Intel). (

Assembly language programming, register level computer organization,
data structure and addressing modes, assemblers, and linkers.
Prerequisite: CSE 100 or CSE 200. Instructor: W. HIGGINS.

240 Introduction to Programming Languages. (3)

Introduction to

the procedural (Ada), applicative (LISP) and
declarative (Prolog) languages. Prerequisites: CSE 210. Instructor: R.

310 Data Structures and Algorithms. (3)

Advanced data structures and algorithms, including stacks, queues,
trees (B, B+, AVL)
, and graphs, Searching for graphs, hashing and
external sorting. Prerequiste: CSE 210 or MAT 243. Instructor: B.

330 Computer Organization and Architecture. (3)

Instruction set architecture, processor performance and design,
datapath, control (ha
rdwired, microprogrammed), pipelining,
input/output, Memory organization with cache, virtual memory.
Prerequisite: CSE 225 or CSE 226. Instructor: E. O'GRADY.

340 Principles of Programming Languages. (3)

Introduction to language design and implementation,

Parallel, machine
dependent and declarative language features, type theory,
specification, recognition, translation, run
time management.
Prerequisites: CSE 240, CSE 310, CSE 225 or CSE226. Instructor: L.

355 Introduction to Theoretical Computer
Science. (3)

Introduction to formal language theory and automata, Turing machines,
decidability/undecidability, recursive function theory, and
introduction to complexity theory. Prerequisite: CSE 310. Instructor:

360 Introduction to Software Engin
eering. (3)

Software life cycle models, Project management, team development,
environments and methodologies, software architectures, quality
assurance and standards, legal, ethical issues. Prerequisite: CSE 240
and CSE 210. Instructor: J. COLLOFELLO.


Multimedia Information Systems. (3)

Design, use, and applications of multimedia systems, An introduction to
acquisition, compression, storage, retrieval, and presentation of data
from different media such as images, text, voice, and alphanumeric.
site: CSE 310. Instructor: F. GOLSHANI.

412 Database Management. (3)

Introduction to DBMS concepts, Data models and languages, Relational
database theory, Database security/ integrity and concurrency.
Prerequisite: CSE 310. Instructor: K. CANDAN.

420 Com
puter Architecture I. (3)

Computer architecture, Performance versus cost trade
offs, Instruction
set design, Basic processor implementation and pipelining.
Prerequisite: CSE 330.

421 Microprocessor System Design I. (4)

language programming and l
ogical hardware design of systems
using 8
bit microprocessors and micro
controllers, Fundamental concepts
of digital system design, Reliability and social, legal implications.
Prerequisite: CSE 225. Instructor: D. PHEANIS.

422 Microprocessor System Design

II. (4)

Design of microcomputer systems using contemporary logic and
microcomputer system components, Requires assembly language
programming. Prerequisite: CSE 421.

423 Microcomputer System Hardware. (3)

Information and techniques presented in CSE 422 a
re used to develop the
hardware design of a microprocessor, multiprogramming, microprocessor
based system. Prerequisite: CSE 422.

428 Computer
Aided Processes. (3)

Hardware and software considerations for computerized manufacturing
systems, Specific conc
entration on automatic inspection, numerical
control, robotics, and integrated manufacturing systems. Prerequisite:
CSE 330.

430 Operating Systems. (3)

Operating system structure and services, processor scheduling,
concurrent processes, synchronization t
echniques, memory management,
virtual memory, input/output, storage management, file systems.
Prerequisites: CSE 330 and CSE 340. Instructor: D. MILLER.

434 Computer Networks. (3)

Physical layer basics, network protocol algorithms, error handling,
flow c
ontrol, multihop routing, network reliability, timing, security,
data compression, cryptography fundamentals. Prerequisite: CSE 330.
Instructor: S. GUPTA.

438 Systems Programming. (3)

Design and implementtion of systems programs, including text editors,
ile utilities, monitors, assemblers, relocating linking loaders, I/O
handlers, schedulers, etc. Prerequisite: CSE 421. Instructor: D.

440 Compiler Construction I. (3)

Introduction to programming language implementation, Implementation
such as compilation, interpretation, and translation, Major
compilation phases such as lexical analysis, semantic analysis,
optimization, and code generation. Prerequisites: CSE 340 and CSE355.
Instructor: R. BAZZI.

445/598 Distributed Computing with Jav
a and CORBA .(3)

Frameworks for distributed software components, Foundations of client
server computing and architectures for distributed object systems,
Dynamic discovery and invocation. Prerequisites: CSE 360. Instructor:

446/598 Client
User Interfaces.(3)

S, Client
server model for creating window interfaces, Toolkits and
libraries such as X11, Microsoft Foundation Classes and Java Abstract
Window Toolkit. Prerequisites: CSE 310. Instructor: P. REINERT.

450 Design and Analysis of Algori
thms. (3)

Design and analysis of computer algorithms using analytical and
empirical methods,complexity measures, design methodologies, and survey
of important algorithms. Prerequisite: CSE 310. Instructor: G.

457 Theory of Formal Languages. (3)

Theory of grammar, methods of syntactic analysis and specification,
types of artificial languages, relationship between formal languages,
and automata. Prerequisite: CSE 355.

459 Logic for Computing Scientist I. (3)

Propositional logic, syntax and semant
ics, proof theory vs. model
theory, soundness, consistency and completeness, first order logic,
logical theories, automated theorem proving, ground resolution, pattern
matching unification and resolution, Dijkstras logic, proof
obligations, and program pro
ving. Prerequisite: CSE 355.

460 Software Engineering. (3)

Software engineering foundations, formal representations in the
software process, use of formalisms in creating a measured and
structured working environment. Prerequisite: CSE 360. Instructor: G

461 Software Engineering Project 1. (3)

First of 2
course software design sequence, Development planning,
management, process modeling, incremental and team development using
CASE tools. Prerequisite: CSE 360. Instructor: S. YAU.

462 Software E
ngineering Project 2. (3)

Second of 2
course software design sequence, Process, product
assessment and improvement, incremental and team development using CASE
tools. Prerequisite: CSE 461. Instructor: J. URBAN.

470 Computer Graphics. (3)

Display devices,

data structures, transformation, interactive graphics,
dimensional graphics, and hidden line problem. Prerequisites: CSE
310; MAT 342. Instructor: G. NIELSON.

471 Introduction to Artificial Intelligence. (3)

State space search, heuristic search, games
, knowledge representation
techniques, expert systems, and automated reasoning. Prerequisite: CSE
240, 310. Instructor: S. KAMBHAMPATI.

473 Nonprocedural Programming Languages. (3)

Functional and logic programming using languages like Lucid and Prolog,
pical applications would be a Screen Editor and an Expert System.
Prerequisite: CSE 355.

476 Introduction to Natural Language Processing. (3)

Principles of computational linguistics, formal syntax, and semantics,
as applied to the design of software with

natural (human) language I/O.
Prerequisite: CSE 310.

477 Introduction to Computer
Aided Geometric Design. (3)

Introduction to parametric curves and surfaces. Bezier and B
spline interpolation