MESSAGE
| DATE | 2014-08-24 |
| FROM | Ruben Safir
|
| SUBJECT | Subject: [NYLXS - HANGOUT] more college choices
|
this is the MS program at LIU. This just might make more sense for me.
The 36-credit M.S. in Computer Science
provides students with the knowledge and skills to
become successful leaders in the field of computer
science. It is open to students from all
undergraduate fields. The program provides the
foundations and advanced applications with an
emphasis on the design and development of large
software systems.
Required courses cover what is commonly
accepted by the Association for Computing
Machinery (ACM) as the core of graduate
computer science. The inclusion of small
implementation projects and/or computer
programming exercises in most courses provides
experience in the practical aspects of the software
development cycle
This program is offered in a NEW blended
learning format, where nearly half of the course
will be delivered online and the balance will be
offered in a traditional classroom setting. Please
speak with a representative from the Office of
Admissions or the School of Business Advisement
Office about this option.
LIU Brooklyn Graduate Bulletin 2013 - 2014
Admission Requirements:
The standards for admission to the program are as
follows:
1. A bachelor's degree from an accredited
institution
2. An undergraduate grade-point average of 3.0
3. A written statement outlining applicant?s
objectives for seeking admission into the
program
4. A current r?sum?
5. Two letters of recommendation
6. A completed application submitted to the
Office of Admissions
Candidates meeting the admission requirements
will be placed into one of the following two tracks
depending upon the candidate?s undergraduate
degree and background in fundamentals of
computer science and programming. Other
evidence of competence may be required to grant a
limited matriculation status in the program.
Track 1 ? Candidates admitted into Track 1 will
have a bachelor?s degree in computer science or
management information systems and will begin
their program with the required core courses.
Track 2 ? Candidates without a bachelor?s degree
in computer science or management information
systems will be admitted into Track 2 and required
to demonstrate proficiency in computer
programming and foundations by passing the
competency waiver exam or completing two
preparation courses: Computer Science 601 and
605 or their equivalents.
Computer Science Background Requirements
A candidate who is not proficient in the C
programming language must take CS 601 (no
credits toward Computer Science master?s degree).
A candidate who does not have sufficient
background in computer science foundations (i.e.,
operating systems, computer architecture, discrete
structures, advanced programming) must take CS
605 (3 credits). Candidates who successfully
complete both CS 605 and CS 601 will get three
(3) elective credits for CS 605.
Transfer Credits
Students are permitted to transfer a maximum
of six (6) graduate Computer Science credits from
other institutions with the approval of the
Department chair. Industry training courses that
meet time and content requirements may, with the
approval of the chair, qualify for transfer credits.
Competency Equivalencies
Students who can demonstrate competency in
core courses may request that the course(s) be
waived. The student will substitute an elective
course, with the approval of the Department chair.
CS 641 Computer Architecture 3.00
CS 643 Operating Systems 3.00
CS 645 Computer 3.00
Communications and
Networking
CS 649 Database Management 3.00
Systems
CS 666 Artificial Intelligence 3.00
Computer Science Electives: 9 to 12 Credits
Three (3) Advanced Computer Science Courses
with Thesis Option
Four (4) Advanced Computer Science
Courses with Software Development Project
Thesis Option: 6 credits
CS 698 Computer Science Thesis 3.00
CS 699 Computer Science Thesis 3.00
Software Development Project Option: 3
credits
CS
690 Software Development 3.00
Project
691 Software Development 3.00
Project
OR
CS
Credit and G.P.A. Requirements
Minimum Total Credits: 36 credits (Thesis
Option)
Minimum Total Credits: 33 credits (Project
Option)
Minimum G.P.A.: 3.0
M.S., Computer Science
Computer Science Core: 21 Cr edits
The following seven (7) courses are required:
CS 631 Algorithms and Data 3.00
Structures
CS 633 Structured System 3.00
Analysis and Design
Page 98LIU Brooklyn
Computer Science Courses
CS 601 Principles of Computer Science and
Structured Programming C
A study of the fundamentals of structured program
design using a block-structured language such as C,
functions and file organization, and processing.
Students are required to design and run multiple
programs for problem solving on a computer. Not
credited to M.S. in Computer Science.
Credits: 3
Every Fall and Spring
CS 605 Fundamentals of Computer Science and
Systems Programming
A study of the fundamental concepts of machine
architecture and operating systems, including
assembly language programming, data structures
and algorithms used in advanced C programming.
Students are required to design and run computer
programs. Not credited to M.S. in Computer
Science.
Credits: 3
Every Fall and Spring
CS 631 Algorithms and Data Structures
An intensive treatment of the application of data
structures and algorithms in Computer Science.
Topics include recursion; sequential, linked and
dynamic allocation of storage stacks; queues; trees;
graphs; hash tables; and internal and external
sorting and searching. Emphasis is placed on the
design, implementation and evaluation of
algorithms.
Pre-requisite of CS 601 or equivalent is required.
Credits: 3
Every Spring
CS 633 Structured System Analysis and Design
Successful system development entails much more
than just coding. We will survey various models of
the software development process, learn how to
elicit and analyze system requirements, and how to
apply various design strategies, notations, and tools.
In the end, you will understand why quality is so
elusive in the development of information systems,
and you will be comfortable with a range of
processes, methods, and tools to help achieve it.
Pre-requisite of CS 631 is required.
Credits: 3
Every Fall
CS 641 Computer Architecture
A study of computer architecture and organization,
with emphasis on quantitative analysis. Boolean
algebra is introduced to teach digital devices.
Students are required to design and implement on
paper a simple microprocessor by the end of the
semester. Microprogramming and conventional
machine level are taught. Programming is expected
in an assembly programming language.
Pre-requisite of CS 601 or equivalent, and CS 605
or equivalent, are required.
Credits: 3
Page 99
Every Fall
CS 643 Operating Systems
An introduction to the algorithms and data
structures of operating systems and their
performance in various environments. Topics
include CPU scheduling, memory management,
virtual memory, mutual exclusion and deadlock
concurrent processes, and protection and security.
Credits: 3
Every Spring
CS 645 Computer Communications and
Networking
An introductory course in computer networks, with
emphasis on the physical and logical design of
computer networks using the OSI and TCP/IP
layered models as conceptual frameworks. The
physical, data link, network, and transport layers
are discussed in detail. Examples are provided from
existing network architectures. The TCP/IP
protocol suite is studied in the contexts of the
network and transport layers.
Credits: 3
Every Spring
CS 649 Database Management Systems
An examination of the concepts and practical
aspects of database management systems and how
data resources can be designed and managed to
support information systems in organizations.
Topics include data models and data and storage
structures and their relation to data access; use and
management of database systems, data
independence; and data sharing, availability,
security, integrity and consistency. Students are
required to design and implement a database using
a relational database management system, such as
SQL.
Credits: 3
Every Fall
CS 655 Object-Oriented Software Methodology -
C++
A study of object-oriented analysis and design
techniques. Several case studies with C++ are used
to implement the object-oriented design
techniques. Topics include design of classes, class
interfaces, overloading (functions and operators),
inheritance, polymorphism, dynamic binding,
reusability and aspects of software quality
modularity. Students are required to complete
projects with C++.
Pre-requisite of CS 601 or knowlege of the C
language is required.
Credits: 3
On Occasion
CS 664 Compiler Theory and Design
A study of the following: compiler organization -
symbol table, lexical analysis, syntactic analysis,
semantic analysis, object code generation and code
optimization techniques; polish notation, triples,
trees; the translation of arithmetic expressions and
programming constructs; the impact of various
language designs on the compilation process;
compilation of ambiguous and non-deterministic
languages; formal languages, parse techniques; and
optimization techniques.
Credits: 3
On Occasion
CS 666 Artificial Intelligence
An examination of the concepts and methodologies
used in constructing intelligent computer programs.
Areas covered are state space representation,
knowledge representation and reasoning
techniques, and search strategies, including
heuristic search and genetic algorithms. Application
areas are selected from game playing, expert-
systems, natural language processing and machine
learning. Overview of AI tools and languages is
included. Students are required to implement an
AI project.
Pre-requisite of CS 631 is required.
Credits: 3
Every Spring
CS 668 Advanced Topics in Data Base Technology
A study of the following: business and industrial
application development; graphical user interfaces
with client/server computing distributed data bases;
interface of relational data bases with software
packages.
Pre-requisite of CS 649 is required.
Credits: 3
Every Spring
CS 669 Expert and Knowledge Base Systems
A study of the methodologies for designing and
implementing expert and knowledge-based systems.
Topics are expert and knowledge-based problem
solving, knowledge acquisition, explanation
generation, and expert system development tools.
Comprehensive treatment of an expert system
design and development tool such as ECLIPSE is
conducted. Students are required to implement an
expert system project.
Pre-requisite of CS 666 is required.
Credits: 3
On Occasion
CS 673 Internet Programming with JAVA
A look at programming for the Internet and
concepts that relate to Internet technologies. Topics
include JAVA, object-related programming, CGI
and Dynamic HTML. JAVA topics include classes,
interface classes, exceptions, libraries, threads,
network programming and database access. Writing
CGI code for Web servers and JDBC for database
connectivity is also covered. Students are required
to complete projects with JAVA.
The pre-requisites of CS 601 and 645, and the co-
requisite of CS 631 are required.
Credits: 3
On Occasion
CS 674 Distributed Systems
A detailed treatment of distributed systems in
applications such as databases, computer networks
LIU Brooklyn Graduate Bulletin 2013 - 2014Bulletin 2013 - 2014
and communication, architecture, and operating resulting in a valid and
verified software system.
systems. Guiding theory, design principles, and The application domain
and the course syllabus are
tools for analyzing and performing system trade-offs made available in
the preceding semester. The
are presented. Case histories of distributed systems completion of the
degree core requirements is
are reviewed. required.
Credits: 3 Credits: 3
On Occasion Every Fall
CS 675 Parallel Programming CS 691 Software Development Project
A study of parallel random access machine (PRAM) The development of a
large software systems project
model, as well as processor organizations and based on a current
analysis and design paradigm
parallel architectures. Design, analysis and resulting in a valid and
verified software system.
implementation of parallel algorithms are studied. The application
domain and the course syllabus are
Case studies of parallel algorithms in various made available in the
preceding semester. The
problem domains are examined. An introduction completion of the degree
core requirements is
is made to fault tolerant computing. Students are required.
required to do assignments using a parallel Credits: 3
extension of the C language such as C*, nCUBE C Every Spring
or C-LINDA.
The pre-requisites of CS 631 and CS 641 are
required.
Credits: 3
On Occasion
CS 676 UNIX Programming
An in-depth study of the UNIX system called
interface which allows programmers to write
applications that take advantage of the services
provided by the UNIX kernel. Topics include file
system, processes and threads, and signals.
Interprocess communication: pipes, message
queues, shared memory, semaphores are studied.
An introduction is made to network programming
using the socket interface and RPC.
Pre-requisite of CS 601 or knowledge of the C
language is required.
Credits: 3
On Occasion
CS 678 Data Security
A consideration of security problems in computing,
with emphasis on legal issues. Topics include
cryptography fundamentals and data security; NP-
completeness and security of cryptosystems; DES;
IDEA; hashes and message digests; RSA;
authentication of people and systems; signature
schemes; access controls, information flow controls,
and inference controls; and e-mail security.
Pre-requisite of CS 631 is required.
Credits: 3
On Occasion
CS 695 Special Topics in Computer Science
A consideration of a current topic in computer
science not offered in any other course.
Credits: 3
On Occasion
CS 696 Special Topics in Computer Science
A consideration of a current topic in computer
science not offered in any other course.
Credits: 3
On Occasion
CS 697 Special Topics in Computer Science
A consideration of a current topic in computer
science not offered in any other course.
Credits: 3
On Occasion
CS 698 Computer Science Thesis
Preparation of a thesis under the supervision of a
faculty adviser. The completed thesis is evaluated by
the Department's graduate Curriculum Committee.
Credits: 3
Every Fall and Spring
CS 699 Computer Science Thesis
Preparation of a thesis under the supervision of a
faculty adviser. The completed thesis is evaluated by
the Department's graduate Curriculum Committee.
Credits: 3
Every Fall and Spring
CS 679 Local Area Networks
A study of local area network (LAN) technology,
including topologies, communications media,
communication protocol, interfacing equipment,
and hardware and software. Students work on
problems of planning, designing, installing and
maintaining a LAN.
Credits: 3
On Occasion
CS 690 Software Development Project
The development of a large software systems project
based on a current analysis and design paradigm
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