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Illinois Institute of Technology
Computer Science
CS 100
Introduction to the Profession I
An introduction to science and engineering
as a profession. Examines
the problem-solving process used in
engineering and science. Emphasizes
the interdisciplinary and international
nature of problem-solving and the
need to evaluate solutions in terms
of a variety of constraints: computational,
financial and social. (1-2-2) (C)
CS 101
Introduction to the Profession II
An introduction to contemporary areas
of research and practice in computer
science. Examines the context in which
projects evolve, the problems confronted,
how theory becomes practice in their
solution, and the role of computer
scientists in research and industry.
Prerequisite: CS 100 or equivalent.
(0-4-2) (C)
CS 105
Introduction to Computer
Programming I
Introduces the use of a high-level programming
language (C/C++) as a
problem-solving tool, including basic
data structures and algorithms, structured
programming techniques, and
software documentation. Designed
for students who have had little or no
prior experience with computer programming.
(2-1-2)
CS 106
Introduction to Computer
Programming II
Continuation of CS 105. Introduces
more advanced elements of C++ programming,
including pointers, recursion,
classes and object-oriented programming
techniques. Pre-requisite: CS 105 or
consent of instructor. (2-1-2)
CS 200
Introduction to C++ Programming
Problem-solving and program design
using C++. Introduces a variety of programming
techniques, algorithms and
basic data structures, including an introduction
to object-oriented programming.
Prerequisite: Experience using another
programming language (Pascal, BASIC,
etc.). (2-2-3)
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CS 330
Discrete Structures
Introduction to the use of formal mathematical
structures to represent problems
and computational processes. Topics
covered include Boolean algebra,
first-order logic, recursive structures,
graphs and abstract language models.
Prerequisite: CS 106 or CS 200. (3-0-3)
CS 331
Data Structures and Algorithms
Implementation and application of the
essential data structures used in computer
science. Analysis of basic sorting
and searching algorithms and their relationship
to these data structures.
Particular emphasis is given to the use
of object-oriented design and data
abstraction in the creation and application
of data structures. Prerequisite:
CS 106 or CS 200. (2-2-3)
CS 350
Computer Organization and
Assembly Language Programming
Introduction to the internal architecture
of computer systems, including micro-,
mini- and mainframe computer architectures.
Focuses on the relationship
among a computer’s hardware,
its native instruction set, and the implementation
of high-level languages
on that machine. Uses a set of assembly
language programming exercises to
explore and analyze a microcomputer
architecture. Prerequisite: CS 106
or CS 200. (2-2-3) (C)
CS 351
Systems Programming
Examines the components of sophisticated
multilayer software systems,
including device drivers, systems software,
applications interfaces, and user
interfaces. Explores the design and
development of interrupt-driven and
event-driven software. Prerequisites:
CS 331, CS 350. (2-2-3)
CS 397
Special Projects
Prerequisite: Written consent of
instructor. (Credit: Variable)
CS 411
Computer Graphics
Overview of display devices and applications.
Vector graphics in two and three
Course Descriptions
dimensions. Image generation, representation
and manipulation. Homogeneous
coordinates. Modeling and hidden
line elimination. Introduction to raster
graphics. Perspective and parallel
projections. Prerequisites: CS 331,
CS 350. (3-0-3) (T)
CS 425
Database Organization
Overview of database architectures,
including the Relational, Hierarchical,
Network, and Object Models. Database
interfaces, including the SQL query
language. Database design using the
Entity-Relationship Model. Issues
such as security, integrity and query
optimization. Prerequisite: CS 106
or CS 200 or CS 325. (3-0-3) (T) (C)
CS 426
Introduction to Databases II
Investigation of architectural strategies
for deploying database applications.
Continuation of topic covered in
CS 425, including a review of the relational
database architecture and the
SQL query language. Emphasis will be
placed on active, object/relational and
object-oriented database architectures.
Develop familiarity with modeling,
design and implementation techniques
used in the construction of database
applications. Prerequisite: CS 425 or
database experience.
CS 430
Introduction to Algorithms
Introduction to the design, behavior
and analysis of computer algorithms.
Searching, sorting and combinatorial
algorithms are emphasized. Worst
case and average bounds on time and
space usage. Prerequisites: CS 330,
CS 331. (3-0-3) (T)
CS 440
Programming Languages
and Translators
Study of commonly used computer programming
languages with an emphasis
on precision of definition and facility
in use. Scanning, parsing and introduction
to compiler design. Use of
compiler generating tools. Prerequisite:
CS 351. (3-0-3) (T)
IIT Undergraduate Bulletin 1999-2001 131