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Students with AP credit for GenEd courses and a strong CS background may take CS 120 and CS 140 in the first semester.
Students without prior programming experience should take CS 110 in Fall and either
CS 120 or CS 140 in the Spring. Please consult a CS advisor before attempting CS 120
and CS 140 together.
Computer Science with CS 110
These suggested course tracks are based on undergraduate requirements from the class
entering in the 2017-18 academic year. These are only suggestions, refer to the University Bulletin for the official requirements for each major.
For archived requirements refer to the University Bulletin. Select desired year in the bottom left-hand corner under, "Bulletin Archive" and
then the area of study.
For more information on graduate-level requirements go here.
Take note of Pre- or Co-requisites
Computer Science starting with CS 120
Year 1
Fall
-
CS 101 - Prof Skills Ethics & CS Trends
Introduction to and discussion of topics of interest to computer science majors:
social, ethical and professional issues; university, school and department resources;
current developments in computer science. Prerequisite: none. Offered in the Fall
semester. 1 credits
Levels: Undergraduate
-
CS 120 - Prog & Hardware Fundamentals
Introduction to the C programming language, including local and global variables,
basic control structures, function calls, pointers and the stack; use of command-line
C development environments and development tools such as gdb and make; assembly language
connection to higher-level C; building blocks of the Von Neumann machine (ALU, registers,
control unit, RAM, decoders, program counters) and the underlying basic logic elements;
simple non-pipelined processor architectures. Supervised laboratory work involves
programming in C and low-level languages, interfacing with hardware, and the design
and simulation of small circuits and simplified microprocessors. Prerequisite MATH
225 that may be taken concurrently. Prerequisite: CS 110, CS Majors may request a
waiver from the Undergraduate Director based on prior programming experience. Offered
every semester. 4 credits
Levels: Graduate, Undergraduate
-
MATH 224 - Differential Calculus
This is a 2-credit course in differential calculus covering limits, continuity,
and
differentiation. Prerequisites: MATH 223 with a grade of C- or better, or Placement
Exam. Offered each half semester. 2 credits.
Levels: Undergraduate
-
MATH 225 - Integral Calculus
This is a 2-credit course in integral calculus covering optimization and integration.
Prerequisites: MATH 224 with a grade of C- or better. Offered 2nd half of fall semester
and both half semesters of spring semester. 2 credits.
Levels: Undergraduate
-
WRIT 111 - Inquiry and Academic Writing
WRIT 111 helps first-year students become stronger writers, speakers, and thinkers.
The course treats writing as a process, emphasizes revision, and gives students practice
in critical thinking and research writing, reinforcing the notion that writing conventions
differ according to their rhetorical situations. Formal writing assignments include
personal, civic, and academic genres. Prerequisites: first-year students only. Transfer
and ESL students by approval of Writing Initiative only. 4 credits. Offered fall and
spring semesters.
Levels: Undergraduate
Social Science/Humanities Elective
Spring
-
CS 140 - Prog with Obj & Data Struct
Assumes a foundation in procedural programming as covered in CS 100 or CS 110.
Provides the foundations of software development using Java. Problem solving using
object-oriented programming techniques is emphasized. Topics include primitive and
reference data types, variables, expressions, assignment, functions/methods, parameters,
selection, iteration, recursion, exception handling, generic linear data structures
and maps, file types, file I/O, simple GUIs, programming to an interface, use of inheritance,
javadoc documentation, and introduction to Java threads. Required laboratory provides
supervised problem solving, programming using the command line as well as Eclipse
or Netbeans development environments, code backup in a version control repository,
debugging and JUnit testing techniques. Prerequisite: CS 110,CS Majors may request
a waiver from the Undergraduate Director based on prior programming experience. Offered
every semester. Prerequisite math 225 (All prerequisites must have a grade of C- or
better).
Levels: Graduate, Undergraduate
-
MATH 226 - Integration Tech & Application
This is a 2-credit course covering the calculus of transcendental & inverse
functions, L’Hospital’s Rule, integral techniques, improper integrals,
calculus of parametric curves, and polar coordinates.
Prerequisites: Math 225 with a grade of at least a C- or consent of instructor. 2
credits.
Levels: Undergraduate
-
MATH 227 - Infinite Series
This is a 2-credit course covering sequences, series, power series, and Taylor
series.
Prerequisites: Math 226 with a grade of at least a C- or consent of instructor. 2
credits.
Levels: Undergraduate
Social Sciences/Humanities Elective
Science (Must have a science sequence and one other L course)
Year 2
Fall
Science (Must have a science sequence and one other L course)
Social Sciences/Humanities Elective
-
CS 220 - Arch from a Prog Perspective
The architecture and programming of computer systems. Data representation and computer
arithmetic. Processor and memory organization. Assembly and machine language programming.
Advanced C programming language constructs and their implementation in assembly language.
Introduction to system software (assemblers, linkers, loaders, compilers). Supervised
laboratory work involves programming and debugging using machine language, assembly
language and C. Prerequisite: CS 120 and CS 140 (All prerequisites must have a grade
of C- or better). Offered every semester. 4 credits
Levels: Graduate, Undergraduate
-
MATH 304 - Linear Algebra
Vector spaces, linear transformations, determinants, characteristic values, inner
products. Prerequisites: C- or better in MATH 225 or consent of instructor. Every
semester. 4 credits.
Levels: Graduate, Undergraduate
OR
-
MATH 371 - Ordinary Diff. Equations
Ordinary differential equations from quantitative and qualitative point of view
including existence and uniqueness theory, first and second order equations and higher
order equations, systems of first order equations, Laplace transforms, series
solutions methods. MATH 371 contains the topics of MATH 324 and includes additional
topics of the theory of existence and uniqueness, and systems of linear equations.
The topics are studied from a more advanced mathematical viewpoint than in MATH 324.
Only one of Math 324 and Math 371 can be counted towards math minor. Prerquisites:
C or better in both MATH 304 and MATH 330, or consent of instructor. Every semester.
4 credits.
Levels: Undergraduate
OR
-
MATH 381 - Graph Theory
Directed and undirected graphs, trees, connectivity, Eulerian and Hamiltonian graphs,
planar graphs, coloring of graphs, graph parameters, optimization and graph algorithms.
Prerequisites: C or better in both MATH 304 and either MATH 314 or MATH 330, or consent
of instructor. Spring only. 4 credits.
Levels: Undergraduate
OR
-
MATH 386 - Combinatorics
Topics from among counting techniques, generating function and recurrence relations,
pigeonhole principle, Ramsey's Theorem, Latin squares, combinatorial designs.
Prerequisites: C or better in both MATH 304 and either MATH 314 or MATH 330, or consent
of instructor. Fall only. 4 credits.
Levels: Undergraduate
Spring
Science (Must have a science sequence and one other L course)
-
CS 240 - Data Struct & Algorithms
Analysis of the design, implementation, and properties of basic and advanced data
structures, including lists, stacks, queues, hash tables, trees, heaps, and graphs.
Design and time-space analysis of basic and advanced algorithms, including searching,
sorting, insert/delete, hash table collision resolution techniques, recursive functions,
balanced tree maintenance, and graph algorithms. Weekly required laboratory programming
and three or more additional programming projects in C++. Practical programming techniques
including C++ templates and the Standard Template Library (STL), operator overloading,
C++ stream I/O, separate compilation using makefiles, debugging tools and techniques,
dynamic memory management. Prerequisites: CS 120 and CS 140, and either MATH 226 (may
be taken concurrently) OR MATH 230 (All prerequisites must have a grade of C- or better).
Offered every semester. 4 credits
Levels: Graduate, Undergraduate
-
CS 301 - Eth Soc & Global Issues Comput
Communications course with required writing and oral presentations. Understanding
the local and global implications of computing in society, including ethical, legal,
security and social issues. Developing professional skills related to computing, including
effective communication and productive teamwork. Fostering an appreciation for continuing
professional development. Should be taken at the same time as or before any junior-level
Computer Science courses. Prerequisites: Any General Education "C" course,
CS 101, and either CS 220 or CS 240. Offered every semester. 4 credits
Levels: Undergraduate
-
MATH 314 - Discrete Mathematics
Logic, sets, relations, functions, induction, recursion, counting methods, graphs,
trees. Some abstract algebra. Prerequisites: C- or better in MATH 225 or consent
of instructor. Every semester. 4 credits.
Levels: Undergraduate
Year 3
Fall
-
CS 375 - Design & Analysis of Algorithm
Analysis of common algorithms for processing strings, trees, graphs and networks.
Comparison of sorting and searching algorithms. Algorithm design strategies: divide
and conquer, dynamic, greedy, back tracking, branch and bound. Introduction to NP-completeness.
Required activity includes student presentations. Prerequisites: CS 240, MATH 227
and MATH 314 or MATH 330, CS 301 (may be taken concurrently). (All prerequisites must
have a grade of C- or better). Offered every semester. 4 credits
Levels: Undergraduate
-
MATH 327 - Probability with Stat Methods
Development of probabilistic concepts in discrete and absolutely continuous cases.
Classical combinatorial methods, independence, random variables, distributions, moments,
transformations, conditioning, confidence intervals, estimation. Open to Watson School
students only. Does not serve as a prerequisite for MATH 448 or for any actuarial
science courses. Prerequisites: C- or better in MATH 227 or MATH 230, or consent of
instructor. Every semester. 4 credits.
Levels: Undergraduate
-
CS 320 - Advanced Computer Architecture
Performance metrics and analysis; instruction set architecture and its implications;
high-performance computer arithmetic; instruction pipelines and pipelined datapath
implementation; out-of-order execution, register renaming, branch prediction and superscalar
processors; caches and memory systems; memory hierarchy; the I/O subsystem; reliable
storage systems; introduction to multicore and multithreaded architectures; introduction
to GPUs and accelerators. Required lab includes programming projects. Prerequisite:
CS 220. Offered every semester. 4 credits
Levels: Undergraduate
Social Sciences/Humanities Elective
Spring
-
CS 350 - Operating Systems
Introduction to the design and implementation of operating systems: hardware/software
interface; processes and threads; CPU scheduling; virtual memory; memory management;
concurrency, race conditions, deadlocks, and synchronization; file and storage systems;
input/output; protection and security; virtualization and hypervisors; multi-processor
operating systems. Required lab includes programming exercises and presentations.
Prerequisites: CS 220 and CS 240 (All prerequisites must have a grade of C- or better).
Prerequisite (May be taken concurrently.): CS 301. Offered every semester. 4 credits.
Levels: Undergraduate
-
CS 373 - Automata Theory & Formal
Lg.
Theory and application of automata and the languages they recognize. Regular languages,
finite-state automata, regular expressions, context-free languages, normal forms,
pushdown automata, context-sensitive languages, linear bounded automata, Turing machines,
computability, transducers. Application of concepts. Required activity includes student
presentations. Prerequisites: CS 140 and either MATH 314 or MATH 330 (All prerequisites
must have a grade of C- or better). Offered every semester 4 credits
Levels: Undergraduate
Social Sciences/Humanities Elective
Free Elective
Year 4
Fall
-
CS 471 - Programming Languages
Introduction to the design and implementation of programming languages: linguistic
features for expressing algorithms; formal syntax specification; introduction to language
semantics and parsing; declarative programming (functional and goal-driven); scripting
languages; imperative programming (procedural and object-oriented); comparative design
and implementation issues across languages and paradigms. Assignments emphasize languages
such as Prolog, Haskell, Python, and Ruby. Required lab includes student presentations.
Prerequisites: CS 373 and 375 (All prerequisites must have a grade of C- or better).
Offered every semester. 4 credits
Levels: Undergraduate
Computer Science Elective
Computer Science Elective
Free Elective
Spring
Computer Science Elective
Computer Science Elective
Free Elective
Free Elective (Physical Activity/Wellness)
Computer Science starting with CS 110
Year 1
Fall
-
CS 101 - Prof Skills Ethics & CS Trends
Introduction to and discussion of topics of interest to computer science majors:
social, ethical and professional issues; university, school and department resources;
current developments in computer science. Prerequisite: none. Offered in the Fall
semester. 1 credits
Levels: Undergraduate
-
CS 110 - Pgming Concepts&Applic
An introductory course for students with little or no programming experience. Basic
control flow, data types, simple data structures and functions using a scripting language.
Developing code using an integrated environment. The basics of directories, files
and file types, including text files. Simple examples of the applications enabled
by a modern, platform-independent scripting language such as GUIs, event handling,
and database access. This course is open to all students who have not taken any other
CS courses (with the exception of CS 105) and under these conditions, can count as
free-elective credit for CS majors. Offered every semester. Prerequisite (May be
taken concurrently. ): Math 225. 4 credits
Levels: Undergraduate
-
MATH 224 - Differential Calculus
This is a 2-credit course in differential calculus covering limits, continuity,
and
differentiation. Prerequisites: MATH 223 with a grade of C- or better, or Placement
Exam. Offered each half semester. 2 credits.
Levels: Undergraduate
-
MATH 225 - Integral Calculus
This is a 2-credit course in integral calculus covering optimization and integration.
Prerequisites: MATH 224 with a grade of C- or better. Offered 2nd half of fall semester
and both half semesters of spring semester. 2 credits.
Levels: Undergraduate
-
WRIT 111 - Inquiry and Academic Writing
WRIT 111 helps first-year students become stronger writers, speakers, and thinkers.
The course treats writing as a process, emphasizes revision, and gives students practice
in critical thinking and research writing, reinforcing the notion that writing conventions
differ according to their rhetorical situations. Formal writing assignments include
personal, civic, and academic genres. Prerequisites: first-year students only. Transfer
and ESL students by approval of Writing Initiative only. 4 credits. Offered fall and
spring semesters.
Levels: Undergraduate
Social Science/Humanities Elective
Spring
-
CS 120 - Prog & Hardware Fundamentals
Introduction to the C programming language, including local and global variables,
basic control structures, function calls, pointers and the stack; use of command-line
C development environments and development tools such as gdb and make; assembly language
connection to higher-level C; building blocks of the Von Neumann machine (ALU, registers,
control unit, RAM, decoders, program counters) and the underlying basic logic elements;
simple non-pipelined processor architectures. Supervised laboratory work involves
programming in C and low-level languages, interfacing with hardware, and the design
and simulation of small circuits and simplified microprocessors. Prerequisite MATH
225 that may be taken concurrently. Prerequisite: CS 110, CS Majors may request a
waiver from the Undergraduate Director based on prior programming experience. Offered
every semester. 4 credits
Levels: Graduate, Undergraduate
-
MATH 226 - Integration Tech & Application
This is a 2-credit course covering the calculus of transcendental & inverse
functions, L’Hospital’s Rule, integral techniques, improper integrals,
calculus of parametric curves, and polar coordinates.
Prerequisites: Math 225 with a grade of at least a C- or consent of instructor. 2
credits.
Levels: Undergraduate
-
MATH 227 - Infinite Series
This is a 2-credit course covering sequences, series, power series, and Taylor
series.
Prerequisites: Math 226 with a grade of at least a C- or consent of instructor. 2
credits.
Levels: Undergraduate
Social Sciences/Humanities Elective
Science (Must have a science sequence and one other L course)
Year 2
Fall
Social Sciences/Humanities Elective
Science (Must have a science sequence and one other L course)
-
CS 140 - Prog with Obj & Data Struct
Assumes a foundation in procedural programming as covered in CS 100 or CS 110.
Provides the foundations of software development using Java. Problem solving using
object-oriented programming techniques is emphasized. Topics include primitive and
reference data types, variables, expressions, assignment, functions/methods, parameters,
selection, iteration, recursion, exception handling, generic linear data structures
and maps, file types, file I/O, simple GUIs, programming to an interface, use of inheritance,
javadoc documentation, and introduction to Java threads. Required laboratory provides
supervised problem solving, programming using the command line as well as Eclipse
or Netbeans development environments, code backup in a version control repository,
debugging and JUnit testing techniques. Prerequisite: CS 110,CS Majors may request
a waiver from the Undergraduate Director based on prior programming experience. Offered
every semester. Prerequisite math 225 (All prerequisites must have a grade of C- or
better).
Levels: Graduate, Undergraduate
-
MATH 304 - Linear Algebra
Vector spaces, linear transformations, determinants, characteristic values, inner
products. Prerequisites: C- or better in MATH 225 or consent of instructor. Every
semester. 4 credits.
Levels: Graduate, Undergraduate
OR
-
MATH 371 - Ordinary Diff. Equations
Ordinary differential equations from quantitative and qualitative point of view
including existence and uniqueness theory, first and second order equations and higher
order equations, systems of first order equations, Laplace transforms, series
solutions methods. MATH 371 contains the topics of MATH 324 and includes additional
topics of the theory of existence and uniqueness, and systems of linear equations.
The topics are studied from a more advanced mathematical viewpoint than in MATH 324.
Only one of Math 324 and Math 371 can be counted towards math minor. Prerquisites:
C or better in both MATH 304 and MATH 330, or consent of instructor. Every semester.
4 credits.
Levels: Undergraduate
OR
-
MATH 381 - Graph Theory
Directed and undirected graphs, trees, connectivity, Eulerian and Hamiltonian graphs,
planar graphs, coloring of graphs, graph parameters, optimization and graph algorithms.
Prerequisites: C or better in both MATH 304 and either MATH 314 or MATH 330, or consent
of instructor. Spring only. 4 credits.
Levels: Undergraduate
OR
-
MATH 386 - Combinatorics
Topics from among counting techniques, generating function and recurrence relations,
pigeonhole principle, Ramsey's Theorem, Latin squares, combinatorial designs.
Prerequisites: C or better in both MATH 304 and either MATH 314 or MATH 330, or consent
of instructor. Fall only. 4 credits.
Levels: Undergraduate
Spring
-
CS 220 - Arch from a Prog Perspective
The architecture and programming of computer systems. Data representation and computer
arithmetic. Processor and memory organization. Assembly and machine language programming.
Advanced C programming language constructs and their implementation in assembly language.
Introduction to system software (assemblers, linkers, loaders, compilers). Supervised
laboratory work involves programming and debugging using machine language, assembly
language and C. Prerequisite: CS 120 and CS 140 (All prerequisites must have a grade
of C- or better). Offered every semester. 4 credits
Levels: Graduate, Undergraduate
-
CS 301 - Eth Soc & Global Issues Comput
Communications course with required writing and oral presentations. Understanding
the local and global implications of computing in society, including ethical, legal,
security and social issues. Developing professional skills related to computing, including
effective communication and productive teamwork. Fostering an appreciation for continuing
professional development. Should be taken at the same time as or before any junior-level
Computer Science courses. Prerequisites: Any General Education "C" course,
CS 101, and either CS 220 or CS 240. Offered every semester. 4 credits
Levels: Undergraduate
-
MATH 314 - Discrete Mathematics
Logic, sets, relations, functions, induction, recursion, counting methods, graphs,
trees. Some abstract algebra. Prerequisites: C- or better in MATH 225 or consent
of instructor. Every semester. 4 credits.
Levels: Undergraduate
Science (Must have a science sequence and one other L course)
Year 3
Fall
-
CS 240 - Data Struct & Algorithms
Analysis of the design, implementation, and properties of basic and advanced data
structures, including lists, stacks, queues, hash tables, trees, heaps, and graphs.
Design and time-space analysis of basic and advanced algorithms, including searching,
sorting, insert/delete, hash table collision resolution techniques, recursive functions,
balanced tree maintenance, and graph algorithms. Weekly required laboratory programming
and three or more additional programming projects in C++. Practical programming techniques
including C++ templates and the Standard Template Library (STL), operator overloading,
C++ stream I/O, separate compilation using makefiles, debugging tools and techniques,
dynamic memory management. Prerequisites: CS 120 and CS 140, and either MATH 226 (may
be taken concurrently) OR MATH 230 (All prerequisites must have a grade of C- or better).
Offered every semester. 4 credits
Levels: Graduate, Undergraduate
-
CS 373 - Automata Theory & Formal
Lg.
Theory and application of automata and the languages they recognize. Regular languages,
finite-state automata, regular expressions, context-free languages, normal forms,
pushdown automata, context-sensitive languages, linear bounded automata, Turing machines,
computability, transducers. Application of concepts. Required activity includes student
presentations. Prerequisites: CS 140 and either MATH 314 or MATH 330 (All prerequisites
must have a grade of C- or better). Offered every semester 4 credits
Levels: Undergraduate
-
MATH 327 - Probability with Stat Methods
Development of probabilistic concepts in discrete and absolutely continuous cases.
Classical combinatorial methods, independence, random variables, distributions, moments,
transformations, conditioning, confidence intervals, estimation. Open to Watson School
students only. Does not serve as a prerequisite for MATH 448 or for any actuarial
science courses. Prerequisites: C- or better in MATH 227 or MATH 230, or consent of
instructor. Every semester. 4 credits.
Levels: Undergraduate
Social Sciences/Humanities Elective
Spring
-
CS 320 - Advanced Computer Architecture
Performance metrics and analysis; instruction set architecture and its implications;
high-performance computer arithmetic; instruction pipelines and pipelined datapath
implementation; out-of-order execution, register renaming, branch prediction and superscalar
processors; caches and memory systems; memory hierarchy; the I/O subsystem; reliable
storage systems; introduction to multicore and multithreaded architectures; introduction
to GPUs and accelerators. Required lab includes programming projects. Prerequisite:
CS 220. Offered every semester. 4 credits
Levels: Undergraduate
-
CS 350 - Operating Systems
Introduction to the design and implementation of operating systems: hardware/software
interface; processes and threads; CPU scheduling; virtual memory; memory management;
concurrency, race conditions, deadlocks, and synchronization; file and storage systems;
input/output; protection and security; virtualization and hypervisors; multi-processor
operating systems. Required lab includes programming exercises and presentations.
Prerequisites: CS 220 and CS 240 (All prerequisites must have a grade of C- or better).
Prerequisite (May be taken concurrently.): CS 301. Offered every semester. 4 credits.
Levels: Undergraduate
-
CS 375 - Design & Analysis of Algorithm
Analysis of common algorithms for processing strings, trees, graphs and networks.
Comparison of sorting and searching algorithms. Algorithm design strategies: divide
and conquer, dynamic, greedy, back tracking, branch and bound. Introduction to NP-completeness.
Required activity includes student presentations. Prerequisites: CS 240, MATH 227
and MATH 314 or MATH 330, CS 301 (may be taken concurrently). (All prerequisites must
have a grade of C- or better). Offered every semester. 4 credits
Levels: Undergraduate
Free Elective (Physics Activity/Wellness)
Year 4
Fall
-
CS 471 - Programming Languages
Introduction to the design and implementation of programming languages: linguistic
features for expressing algorithms; formal syntax specification; introduction to language
semantics and parsing; declarative programming (functional and goal-driven); scripting
languages; imperative programming (procedural and object-oriented); comparative design
and implementation issues across languages and paradigms. Assignments emphasize languages
such as Prolog, Haskell, Python, and Ruby. Required lab includes student presentations.
Prerequisites: CS 373 and 375 (All prerequisites must have a grade of C- or better).
Offered every semester. 4 credits
Levels: Undergraduate
Computer Science Elective
Computer Science Elective
Free Elective
Spring
Computer Science Elective
Computer Science Elective
Free Elective
Social Sciences/Humanities Elective
Supplemental information
The following information supplements that provided in the University Bulletin. It
applies to students who matriculated Fall 2016 or after.
All required Computer Science courses, except CS 101, are offered every semester.
The minimum grade in a required Computer Science course must be at least a C- to be
allowed to take any Computer Science course, for which it is a prerequisite.
Calculus Topics are broken down as follows:
-
MATH 224 - Differential Calculus
This is a 2-credit course in differential calculus covering limits, continuity,
and
differentiation. Prerequisites: MATH 223 with a grade of C- or better, or Placement
Exam. Offered each half semester. 2 credits.
Levels: Undergraduate
-
MATH 225 - Integral Calculus
This is a 2-credit course in integral calculus covering optimization and integration.
Prerequisites: MATH 224 with a grade of C- or better. Offered 2nd half of fall semester
and both half semesters of spring semester. 2 credits.
Levels: Undergraduate
-
MATH 226 - Integration Tech & Application
This is a 2-credit course covering the calculus of transcendental & inverse
functions, L’Hospital’s Rule, integral techniques, improper integrals,
calculus of parametric curves, and polar coordinates.
Prerequisites: Math 225 with a grade of at least a C- or consent of instructor. 2
credits.
Levels: Undergraduate
-
MATH 227 - Infinite Series
This is a 2-credit course covering sequences, series, power series, and Taylor
series.
Prerequisites: Math 226 with a grade of at least a C- or consent of instructor. 2
credits.
Levels: Undergraduate
Humanities/Social Science – May be filled by courses offered by the Division of Humanities,
the Division of Social Sciences, the Psychology Department and HDEV courses offered
by the College of Community and Public Affairs. Many of the courses taken to meet
the General Education requirements will fulfill the Humanities/Social Science requirement.
Mathematics - Students who are strong in math are encouraged to take MATH 330 (Number
Systems) instead of MATH 314 (Discrete Mathematics). Students with a strong math background
may take MATH 381 (Graph Theory) as their Math elective. The following Binghamton
University course can be substituted for MATH 327: MATH 448 (Introduction to Probability
and Statistics II).
Free Electives – May be filled by extra courses from any of the areas listed above,
SOM courses, or additional Computer Science courses. A maximum of 2 HWS credits may
be counted as Free Elective credits. At least four of these credits must be in humanities,
social sciences, arts and other disciplines (excluding computer science) that provide
breadth of background. CS 110 counts as a free elective.
Prerequisites for Computer Science Courses
The MATH and CS pre-requisites must have a grade of at least C-.
-
CS 101 - Prof Skills Ethics & CS Trends
Introduction to and discussion of topics of interest to computer science majors:
social, ethical and professional issues; university, school and department resources;
current developments in computer science. Prerequisite: none. Offered in the Fall
semester. 1 credits
Levels: Undergraduate
-
CS 105 - Intro To Computing
Computing and its place in our society, including ethics and privacy. Basic concepts
of computer hardware and systems. Data flow in computer systems. Understanding and
using common application programs: word processors, spreadsheets and databases. Computers
in communications. Basic concepts of algorithms, programming and the programming process.
CS majors may only use this as free-elective credit. Does not provide any prerequisites
for courses in the CS major or minor. Prerequisite: none Offered every semester.
4 credits
Levels: Undergraduate
-
CS 106 - Everyday Computing
Translating human logic to computer logic; program flow, data structures and
functions; graphics; libraries; networks; and basic data analytics. Provides the basic
“digital literacy”
required for responsible digital communications in professional environments. Introduces
essential
computing concepts and programming skills in a widely used scripting language. Students
follow
protocols and use tools to promote secure practices in the workplace, at school, and
at home. Intended for
non-majors; cannot be used toward the fulfillment of a computer science degree. No
prerequisites. 4 credits
Levels: Undergraduate
-
CS 110 - Pgming Concepts&Applic
An introductory course for students with little or no programming experience. Basic
control flow, data types, simple data structures and functions using a scripting language.
Developing code using an integrated environment. The basics of directories, files
and file types, including text files. Simple examples of the applications enabled
by a modern, platform-independent scripting language such as GUIs, event handling,
and database access. This course is open to all students who have not taken any other
CS courses (with the exception of CS 105) and under these conditions, can count as
free-elective credit for CS majors. Offered every semester. Prerequisite (May be
taken concurrently. ): Math 225. 4 credits
Levels: Undergraduate
-
CS 115 - FRI Image & Acoustic Signal
I
This is one of two lecture-lab courses of a 2-semester sequence for FRI students
in Image and Acoustic Signals Analysis. Computing skills in MATLAB and Unix and
introduction to computer programming. Technical writing using LaTeX. Students
will learn research techniques while gaining understanding of research problems in
this area. Prerequisites: HARP 170 and enrollment in Freshman Research Immersion (FRI)
program. Offered in the Spring semester. 4 credits. Course fee applies. Refer to
the Schedule of Classes.
Levels: Undergraduate
-
CS 120 - Prog & Hardware Fundamentals
Introduction to the C programming language, including local and global variables,
basic control structures, function calls, pointers and the stack; use of command-line
C development environments and development tools such as gdb and make; assembly language
connection to higher-level C; building blocks of the Von Neumann machine (ALU, registers,
control unit, RAM, decoders, program counters) and the underlying basic logic elements;
simple non-pipelined processor architectures. Supervised laboratory work involves
programming in C and low-level languages, interfacing with hardware, and the design
and simulation of small circuits and simplified microprocessors. Prerequisite MATH
225 that may be taken concurrently. Prerequisite: CS 110, CS Majors may request a
waiver from the Undergraduate Director based on prior programming experience. Offered
every semester. 4 credits
Levels: Graduate, Undergraduate
-
CS 140 - Prog with Obj & Data Struct
Assumes a foundation in procedural programming as covered in CS 100 or CS 110.
Provides the foundations of software development using Java. Problem solving using
object-oriented programming techniques is emphasized. Topics include primitive and
reference data types, variables, expressions, assignment, functions/methods, parameters,
selection, iteration, recursion, exception handling, generic linear data structures
and maps, file types, file I/O, simple GUIs, programming to an interface, use of inheritance,
javadoc documentation, and introduction to Java threads. Required laboratory provides
supervised problem solving, programming using the command line as well as Eclipse
or Netbeans development environments, code backup in a version control repository,
debugging and JUnit testing techniques. Prerequisite: CS 110,CS Majors may request
a waiver from the Undergraduate Director based on prior programming experience. Offered
every semester. Prerequisite math 225 (All prerequisites must have a grade of C- or
better).
Levels: Graduate, Undergraduate
-
CS 185A - Living/Learning Computer Proj
Projects developed in the context of Residential Life's Learning Communities.
Projects minimally include technology, community service and group learning and depend
on the interests of instructor and needs of the sponsoring Living Community. Only
counts as free-elective credit for CS majors. Semester offered Spring.
Levels: Undergraduate
-
CS 207 - Introduction to Data Science
Levels: Undergraduate
-
CS 211 - Programming I Engineers
Introduction to computer programming with engineering applications. Programming
in the procedural language C, control structures, functions, arrays and pointers.
Introduction to abstract data types and object-oriented programming using C++. Not
applicable toward degree in computer science. Offered in the Fall semester. 4 credits
Levels: Undergraduate
-
CS 212 - Programming II for Engineers
Development tools and methodologies for modular programming with an emphasis on
engineering applications using the C language. Software design using functional and
data abstraction. Specification, use and implementation of abstract data types including
stacks, queues, lists, trees and graphs. Programming language features such as recursion,
dynamically allocated data structures and separate compilation. Introduction to algorithm
analysis, searching and sorting. Exposure to C++ classes for implementing abstract
data types. Prerequisite: CS 211. CS majors may only use this as free-elective credit.
Does not provide any prerequisites for courses in the CS major or minor. Offered
in the Spring semester. 4 credits
Levels: Undergraduate
-
CS 215 - FRI Image & Acoustic Signal
II
This is the second of two lecture-lab courses of a 2-semester sequence for FRI
students in Image and Acoustic Signals Analysis. Computer programming in C, and selected
topics in multimedia signal
processing and computer vision. Students will learn research techniques while gaining
understanding of research problems in this area. Prerequisites: HARP 170 and EECE
115/CS 115, and enrollment in Freshman Research Immersion (FRI)
program. Offered in the fall semester. 4 credits. Course fee applies. Refer to the
Schedule of Classes.
Levels: Undergraduate
-
CS 220 - Arch from a Prog Perspective
The architecture and programming of computer systems. Data representation and computer
arithmetic. Processor and memory organization. Assembly and machine language programming.
Advanced C programming language constructs and their implementation in assembly language.
Introduction to system software (assemblers, linkers, loaders, compilers). Supervised
laboratory work involves programming and debugging using machine language, assembly
language and C. Prerequisite: CS 120 and CS 140 (All prerequisites must have a grade
of C- or better). Offered every semester. 4 credits
Levels: Graduate, Undergraduate
-
CS 240 - Data Struct & Algorithms
Analysis of the design, implementation, and properties of basic and advanced data
structures, including lists, stacks, queues, hash tables, trees, heaps, and graphs.
Design and time-space analysis of basic and advanced algorithms, including searching,
sorting, insert/delete, hash table collision resolution techniques, recursive functions,
balanced tree maintenance, and graph algorithms. Weekly required laboratory programming
and three or more additional programming projects in C++. Practical programming techniques
including C++ templates and the Standard Template Library (STL), operator overloading,
C++ stream I/O, separate compilation using makefiles, debugging tools and techniques,
dynamic memory management. Prerequisites: CS 120 and CS 140, and either MATH 226 (may
be taken concurrently) OR MATH 230 (All prerequisites must have a grade of C- or better).
Offered every semester. 4 credits
Levels: Graduate, Undergraduate
-
CS 301 - Eth Soc & Global Issues Comput
Communications course with required writing and oral presentations. Understanding
the local and global implications of computing in society, including ethical, legal,
security and social issues. Developing professional skills related to computing, including
effective communication and productive teamwork. Fostering an appreciation for continuing
professional development. Should be taken at the same time as or before any junior-level
Computer Science courses. Prerequisites: Any General Education "C"
course, CS 101, and either CS 220 or CS 240. Offered every semester. 4 credits
Levels: Undergraduate
-
CS 311 - Operating Systems Concepts
Introduction to fundamental concepts for the design and implementation of operating
systems: hardware/software interfaces; processes and threads; scheduling; synchronization
techniques and primitives; memory management and virtual memory; file systems; input/output
subsystems; resource and system virtualization; protection and security; introduction
to distributed systems. Not open to CS majors. Prerequisites: CS 212 and EECE 287.
Offered in the Fall semester. 4 credits
Levels: Graduate, Undergraduate
-
CS 320 - Advanced Computer Architecture
Performance metrics and analysis; instruction set architecture and its implications;
high-performance computer arithmetic; instruction pipelines and pipelined datapath
implementation; out-of-order execution, register renaming, branch prediction and superscalar
processors; caches and memory systems; memory hierarchy; the I/O subsystem; reliable
storage systems; introduction to multicore and multithreaded architectures; introduction
to GPUs and accelerators. Required lab includes programming projects. Prerequisite:
CS 220. Offered every semester. 4 credits
Levels: Undergraduate
-
CS 342 - Program Design Patterns
Patterns for program design; examples of patterns used in existing software libraries,
such as a windowing tool kit. Exercises in programming with design patterns and communicating
designs to other programmers using the language of patterns. Programming graphical-interface
and network applications in an object-oriented language other than Smalltalk. Required
course for the Information System Dual-Diploma Program. Prerequisites: CS 140 Junior
or Senior standing in Information System Dual-Diploma Program. Offered in the Fall
semester. 4 credits
Levels: Undergraduate
-
CS 350 - Operating Systems
Introduction to the design and implementation of operating systems: hardware/software
interface; processes and threads; CPU scheduling; virtual memory; memory management;
concurrency, race conditions, deadlocks, and synchronization; file and storage systems;
input/output; protection and security; virtualization and hypervisors; multi-processor
operating systems. Required lab includes programming exercises and presentations.
Prerequisites: CS 220 and CS 240 (All prerequisites must have a grade of C- or better).
Prerequisite (May be taken concurrently.): CS 301. Offered every semester. 4 credits.
Levels: Undergraduate
-
CS 360 - Gui And Windows Programming
An overview of the issues involved in the design and implementation of graphical
user interfaces (GUI) and windows applications. A practical, hands-on course that
teaches many of the interactive, pointer-based, graphical techniques that constitute
the modern desktop interaction metaphor. Microsoft Windows; the X Window System; event-driven
programming; client/server model; Microsoft's API; Xlib; interface tools;
window managers; widgets; resources; graphics and text in windows; future directions
of GUIs; multimedia; 3D interaction. Project-oriented course emphasizing the programming
of Windows applications rather than the aesthetical and psychological issues involved
in user-interface design. Required course for the Information System Dual-Diploma
Program. Prerequisites: CS 220 and CS 240. Offered in the Fall semester. 4 credits
Levels: Undergraduate
-
CS 373 - Automata Theory & Formal
Lg.
Theory and application of automata and the languages they recognize. Regular languages,
finite-state automata, regular expressions, context-free languages, normal forms,
pushdown automata, context-sensitive languages, linear bounded automata, Turing machines,
computability, transducers. Application of concepts. Required activity includes student
presentations. Prerequisites: CS 140 and either MATH 314 or MATH 330 (All prerequisites
must have a grade of C- or better). Offered every semester 4 credits
Levels: Undergraduate
-
CS 375 - Design & Analysis of Algorithm
Analysis of common algorithms for processing strings, trees, graphs and networks.
Comparison of sorting and searching algorithms. Algorithm design strategies: divide
and conquer, dynamic, greedy, back tracking, branch and bound. Introduction to NP-completeness.
Required activity includes student presentations. Prerequisites: CS 240, MATH 227
and MATH 314 or MATH 330, CS 301 (may be taken concurrently). (All prerequisites must
have a grade of C- or better). Offered every semester. 4 credits
Levels: Undergraduate
-
CS 395 - Computer Science Internship
On-the-job, unpaid experience in computer science. Student interns have opportunities
to work in local industrial, commercial or not-for-profit institutions and to apply
their knowledge to practical professional problems. Formal classroom meetings in which
interns share their experiences and discuss job-search techniques. Prerequisites:
four courses in computer science; open to computer science minors or majors. Registration
competitive and by consent of instructor. To count as a computer science elective,
this course must be taken for a total of 4 credits (168 hours). Prerequisites: CS
220 and CS 240 and Junior or Senior standing in Computer Science. Offered every semester.
2 or 4 credits
Levels: Undergraduate
-
CS 396 - Computer Science Co-Op
On-the-job experience in computer science. Co-op students work 20 hours per week
for a total of 560 hours, September through May, in local industrial, commercial or
not-for-profit organizations and apply their knowledge to practical, professional
problems. Students share experiences and discuss job search techniques in formal class
meetings. Alternatively, students work full-time for a total of 560 hours outside
the local area during one semester. Compensation provided by sponsor organization.
Prerequisites: CS 220 and CS 240 and Junior or Senior standing in Computer Science.
Offered every semester. Registration, by consent of instructor, is competitive and
requires sponsor interview. Term offered varies. 4 credits
Levels: Undergraduate
-
CS 397 - Independent Study
Individual study under direct supervision of faculty member investigating topic
of interest to student. Special registration form required with signature of supervising
faculty member. Can only count as free-elective credit for CS majors. Variable credit
Levels: Undergraduate
-
CS 402 - Software & Eng. Project Mgmt
Information is traveling faster and being shared by more individuals than ever
before. Although project management has been an established field for many years,
managing Software Development and Information Technology Projects requires ideas and
information that go beyond standard project management. This course presents an understandable,
integrated view of the many concepts skills, tools, and techniques involved in software
project management. The Project Management Knowledge areas (from PMI’s PMBOK)
are used to guide the student through the concepts of Software Project Management
techniques and their application to the management of software and IT projects. Specifically,
students will learn how to develop a software development plan including its associated
tasks, milestones and deliverables, software project scheduling and how/why to establish
relationships among the different tasks. Prerequisites: CS 220 and CS 240 Junior or
Senior standing in Computer Science or Information Systems, or CS 211 and CS 212 and
Junior or Senior standing in Computer Engineering
Levels: Undergraduate
-
CS 424 - Microcontrollers And Robotics
Microprocessor-based systems in hardware control. Embedded microcontroller systems:
architectures and instruction sets for microprocessors and microprocessor-based control
systems; memory and I/O port organization; serial and parallel I/O; timers; interrupts;
ADC; DAC. Robotics: hardware; software; motion control; interaction control; actuators
and sensors; trajectory planning; navigation; image processing and vision systems;
operating systems and programming languages; multitasking; robot behavior and intelligence
architectures; robot kinematics and dynamics. Supervised laboratory work involves
microprocessor programming, interfacing and hardware control experiments. Students
working in teams design and build mobile, autonomous, microprocessor-controlled robots
and program them to perform a variety of tasks. Prerequisite (May not be taken concurrently
) : CS 350. Term offered varies. 4 credits
Levels: Undergraduate
-
CS 426 - Internet of Things
Wireless sensor networks contain a large number of self-organizing communication
devices. Each device has sensing, actuation, and wireless communication capability,
as well as a certain level of intelligence for signal processing. Wireless sensor
networks have been used in many applications such as personal communication, military
surveillance, habitat monitoring and scientific exploration. The hype indicates that
wireless sensor networks will dominate every aspect of our lives in the near future.
This class presents the fundamentals regarding the hardware and software of wireless
sensor networks. It synthesizes materials from many research papers, presenting principles,
commonalities and open research issues. In this course, students will also have an
opportunity to obtain hands-on experience on programming tiny communication devices
to sense and communicate. Topics covered include: the introduction of sensor networks
research; sensor network applications; programming sensor nodes by using TinyOS, NesC
and TOSSIM; wireless networking protocols; wireless media access control; middleware
(including time synchronization, localization, power management), security and privacy
in wireless sensor networks. Prerequisites: CS 350
Levels: Undergraduate
-
CS 428 - Computer Networks
Communication protocols and layering, hardware-software infrastructures for networking,
MAC protocols, data link protocols, switching, inter- and intra-domain routing, the
TCP/IP protocol suite, transport protocols, application layer protocols, local and
system area networks, wireless and sensor networks, overlay and virtual networks,
client-server and peer-to-peer models, network programming with sockets, protocol
design and implementation issues, network security. Prerequisite: CS 350 (All prerequisites
must have a grade of C- or better). Term offered varies. 4 credits.
Levels: Undergraduate
-
CS 431 - Enterprise Network Security
Historic background of network security; legal, social and ethical implications
associated with network security. Emphasis will be on understanding and identifying
hazards and the mitigation of the associated risks. Investigation and analysis of
classical attacks. Machine and OS hardening. Additional topics will include: cryptography,
perimeter defenses, firewalls, virtual private networks, remote network access and
demilitarized zones. Required course for the Information System Dual-Diploma Program.
Prerequisites: CS 428. Term offered varies. 4 credits
Levels: Undergraduate
-
CS 432 - Database Systems
Associations between data elements and data models: entity-relationship, relational
and object-oriented. Relational database design techniques. Formal and commercial
query languages. Introduction to query processing, transaction management and concurrency
control. Prerequisite: CS 375 (All prerequisites must have a grade of C- or better).
Term offered varies. 4 credits
Levels: Undergraduate
-
CS 433 - Information Retrieval
Indexing and data structures for storing and searching the index. Boolean, statistical,
inference nets and knowledge-based models. Thesaurus construction. Query expansion.
Natural language and linguistic techniques. Evaluation. Distributed information retrieval.
Information integration and fusion. Dissemination of information. Summaries, themes
and reading tours. Hypertext. Internet tools. Intelligent agents. Digital libraries.
Prerequisite: CS 375 (All prerequisites must have a grade of C- or better). Term
offered varies. 4 credits
Levels: Undergraduate
-
CS 435 - Introduction To Data Mining
Basic topics of data mining, including data preprocessing, mining association rules,
classification rules, clustering rules, post processing and mining in unstructured
data. Prerequisites: CS 375, MATH 304 and MATH 327 or MATH 448 (All prerequisites
must have a grade of C- or better). Term offered varies. 4 credits
Levels: Undergraduate
-
CS 436 - Intro to Machine Learning
This course provides a broad introduction to machine learning and its applications.
Major topics include: supervised learning (generative/discriminative learning, parametric/non-parametric
learning, support vector machines); computational learning theory (bias/variance tradeoffs,
VC theory, large margins); unsupervised learning; semi-supervised learning; reinforcement
learning. The course will give students the basic ideas and intuition behind different
techniques as well as a more formal understanding of how and why they work. The course
will also discuss recent applications of machine learning, such as to data mining,
bioinformatics, and information retrieval. Prerequisites: CS 375 and MATH 327 or MATH
448 (All prerequisites must have a grade of C- or better). Term offered varies.
4 credits
Levels: Undergraduate
-
CS 440 - Adv Topics - Obj Oriented Prog
Object-oriented programming and its concomitant design patterns provide rich abstractions
for program development. These programs will eventually execute on real hardware,
however. This course will investigate advanced object-oriented techniques and how
they interact with hardware and operating system issues. We will ground our topics
in C++, but the goal of the course will be to develop understanding that can be applied
across languages. We will examine different design techniques for things such as memory
management, and explore how and why they differ in performance and robustness. We
will also cover idioms such as "Resource Acquisition Is Initialization"
(RAII) and how they can be used to provide robust resource management for exceptions
(exception safety). We will also devote time to covering generic programming and related
topics such as expression templates. This is a growing area that seeks to decouple
algorithms and data structures through the use of templates and other meta-programming
techniques. These techniques exploit the fact that the C++ template mechanism is a
language-within-a-language that is executed at compile-time rather than run-time.
Additional topics include dynamic linking for techniques such as "plug-ins",
template instantiation mechanisms, template specialization, idioms for memory management,
thread-safety issues, thread-safety, C++ reflection. Prerequisites: CS 240 and CS
350.
Levels: Undergraduate
-
CS 441 - Game Devel for Mobile Platform
This course focuses software development for mobile computing platforms, such as
smartphones and tables, with an emphasis on games. Students will develop interactive
applications, and utilize the wide variety of sensors and networking features available
on the platform, along with basic elements of graphics programming and animation.
The course also covers the mechanics of distributing software for mobile computing
platforms. Both iOS and Android operating systems will be covered. The course will
feature a mix of individual and team projects. Prerequisite: CS 140 , CS 375. (All
prerequisites must have a grade of C- or better). Term offered varies. 4 credits.
Levels: Undergraduate
-
CS 442 - Design Patterns
Patterns for program design including examples of patterns used in existing software
libraries. Exercises in programming with design patterns and communicating designs
to other programmers using the language of patterns. Use of an object-oriented programming
language to implement patterns and principles for common design problems. Design patterns
are applied to problems involving features including concurrency, sockets, streams,
reflection, and dynamic proxies. The course also discusses automating software build
processes with build tools.
Prerequisites: CS 140 and CS 375 (All prerequisites must have a grade of C- or better).
Term offered varies. 4 credits
Levels: Undergraduate
-
CS 443 - Mobile Systems & Applications
This course covers topics of designing and implementing mobile systems
and applications. Examples include smartphone application design and development,
wireless communications, location based services, mobile sensing, mobile computing
security, mobile cloud computing, mobile computing energy efficiency, human-computer
interactions with mobile devices etc. Students are expected to learn fundamentals
of mobile computing, get exposed to emerging mobile computing topics, and gain hands-on
experience in designing and developing mobile systems and Prerequisite: CS 320 and
CS 350 (All prerequisites must have a grade of C- or better). Term offered varies.
4 credits
Levels: Undergraduate
-
CS 444 - Programming for the Web
An in-depth understanding of programming for the World Wide Web: detailed
coverage of widely used language(s) for web programming, asynchronous programming,
principles of
web architecture, web protocols, web design patterns, client-side programming, templating,
server-side
programming, a technical history of the web, web security. Students are expected to
have experience
with a modern programming language and will be assigned programming projects using
current state-of-
the-art web technologies.
Prerequisite: CS 320 or CS 350 or CS 375. 4 credits
Levels: Undergraduate
-
CS 445 - Software Engineering
Software engineering practice applied to the life cycle of software applications
and engineering projects. Software project planning and management: risk management,
estimation, scheduling, trade studies, CM and SQA. Software development: process model
selection, domain analysis, requirements gathering, analysis and design modeling,
user interface design, architectural and detailed design, documentation, testing strategies/methods,
test plan generation, and reuse. Advanced topics include formal methods and cleanroom
software engineering. Requires a major team project. Prerequisites: CS 350 or CS 375
(All prerequisites must have a grade of C- or better). Term offered varies. 4 credits
Levels: Undergraduate
-
CS 447 - High Performance Computing
This course covers the applied area of high performance computing for machine
learning, big data, and scientific computing. Students will learn about techniques
for programs where the
amount of computation is substantial enough that performance is a major concern. A
substantial part of
the material will cover parallel computation, including message-passing, multicore,
and vectorization. A
variety of different algorithms and applications will be considered, including machine
learning, big data,
and more traditional scientific computing.
Prerequisite: CS 220, CS 240, either CS 320 or CS350. 4 Credits
Levels: Undergraduate
-
CS 451 - Systems Programming
A detailed study of the application program interface of a modern operating system.
File operations, concurrency, processes, threads, inter-process communication, synchronization,
client-server programming, multi-tier programming. Prerequisite: CS 350 (All prerequisites
must have a grade of C- or better). Term offered varies. 4 credits
Levels: Undergraduate
-
CS 455 - Intro to Visual Info Processin
The course focuses on fundamental topics, including visual information acquisition,
representation, description, enhancement, restoration, transformations and compressions,
and reconstruction from projections. The second focus is on Computer Science applications,
including algorithms developed in applications such as statistical and syntactic pattern
recognition, robotic vision, multimedia indexing, visual data mining, and bio-informatics.
Prerequisite: CS 375 (All prerequisites must have a grade of C- or better). Term
offered varies. 4 credits
Levels: Undergraduate
-
CS 456 - Intro to Computer Vision
Course has two parts. Part one focuses on an introduction to the fundamental topics
of
computer vision, including low-level vision, intermediate-level vision, high-level
vision, vision systems, visual
knowledge representation, motion analysis, shape from shading and 3D reconstruction,
as well as image
retrieval. Part two introduces the applications of the fundamental computer vision
techniques. Examples include
robotic vision, pattern recognition and medical imaging. Pre req CS 375. 4 credits
Levels: Undergraduate
-
CS 457 - Intro To Distributed Systems
Fundamental issues in distributed systems. Distributed synchronization and concurrency
control. Distributed process management (scheduling, remote invocation, task forces,
load balancing). Protection and security. Robust distributed systems. Case studies.
Prerequisites: CS 350 (All prerequisites must have a grade of C- or better). Term
offered varies. 4 credits
Levels: Undergraduate
-
CS 458 - Intro to Computer Security
The course provides an introduction to the principles and practices of network,
computer, and information security. Topics include authentication and cryptographic
techniques, intrusion detection, access control, security policies, and program/policy
analysis techniques. Prerequisites: CS 350 and CS 375 (All prerequisites must have
a grade of C- or better). Term offered varies. 4 credits
Levels: Undergraduate
-
CS 459 - Science of Cyber Security
This course focuses on techniques that approach cyber security problems in a principled
manner using concepts from data mining, game theory, graph theory, and psychology.
The intent of this course is to permit students to bridge the divide between real-world
cyber threats and formal, scientific foundations of solutions that address such threats.
Real-world cyber security issues, such as spamming, phishing attacks, malware, sybil
attacks in social networks, and DDoS attacks, are used to illustrate how cyber threats
can be modeled with abstract representations that are amenable to rigorous analysis
and formal reasoning. The course also emphasizes the development of cyber defense
mechanisms that are rooted in scientific foundations. Prerequisite: CS 350 and CS
375. 4 credits.
Levels: Undergraduate
-
CS 460 - Computer Graphics
Concepts, structure, techniques and algorithms for use of modern interactive computer
graphics systems. Graphics hardware, software system structure. Techniques and algorithms
for basic graphics input/output functions. Matrix techniques for transformations and
projections. Techniques for two- and three-dimensional modeling, rendering, animation
and visualization. Prerequisite: CS 375 (All prerequisites must have a grade of C-
or better). Prerequisite or Corequisite: MATH 304. Term offered varies. 4 credits
Levels: Undergraduate
-
CS 465 - Intro to Artificial Intelligen
This course will cover the basic ideas and techniques underlying the
design of artificial intelligence (AI) agents. Topics include search,
knowledge representation (and reasoning), planning, reasoning under uncertainty, machine
learning (including reinforcement learning), and applications (natural language processing,
vision, robotics, etc). Pre reqs CS 375
Levels: Undergraduate
-
CS 471 - Programming Languages
Introduction to the design and implementation of programming languages: linguistic
features for expressing algorithms; formal syntax specification; introduction to language
semantics and parsing; declarative programming (functional and goal-driven); scripting
languages; imperative programming (procedural and object-oriented); comparative design
and implementation issues across languages and paradigms. Assignments emphasize languages
such as Prolog, Haskell, Python, and Ruby. Required lab includes student presentations.
Prerequisites: CS 373 and 375 (All prerequisites must have a grade of C- or better).
Offered every semester. 4 credits
Levels: Undergraduate
-
CS 472 - Compiler Design
Fundamentals of programming language translation. Compiler design concepts. General
aspects of lexical analysis and parsing of context-free languages. Grammars and parsing
techniques. Syntax-directed translation. Declarations and symbol management. Semantic
processing and code generation. Principles, methods and examples of code optimization.
Prerequisite: CS 373 and CS 375 (All prerequisites must have a grade of C- or better).
Term offered varies. 4 credits
Levels: Undergraduate
-
CS 476 - Program Models Emerg Platforms
The landscape of computation platforms has changed dramatically in recent years.
Multi-core CPUs, CUDA-enabled game chips, and Android-powered smartphones are widely
available to millions of users, but programming on these emerging platforms remains
a challenging task. This course introduces a number of state-of-the-art programming
models on these platforms, and further explores the frontier of next-generation programming
language design that may potentially impact the future programming practice for emerging
platforms. In particular, the course investigates multi-core programming, GPGPU programming,
and Android programming. Applications of these programming models range from high-performance
computing, games, to energy-conscious systems. Prerequisites: CS 140, CS 320 and CS
350 (All prerequisites must have a grade of C- or better). Term offered varies.
4 credits
Levels: Undergraduate
-
CS 480A - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480B - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480C - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480E - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480F - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480G - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480I - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480K - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480L - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480N - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480R - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480S - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480V - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480W - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480Y - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 480Z - Special Topics
Special topics in Computer Science. 4 credits. Semester offered varies.
Levels: Undergraduate
-
CS 485 - Info Systems Senior Proj I
First semester of two-semester-long team projects involving analysis, specification,
design, implementation and documentation of large-scale information systems. Project
teams work to bring structure to a loosely formulated business/organizational problem.
Previously learned concepts and techniques are applied in a real-world environment.
Interpersonal (including communication) skills are enhanced. Host organizations and
the instructor supervise the projects. Oral and written reports are required. Prerequisite:
senior standing in the Information Systems Dual-Diploma program. Offered in the Fall
semester. 3 credits
Levels: Undergraduate
-
CS 486 - Info Systems Senior Proj II
Continuation of CS 485, Information Systems Project I. Prerequisite: CS 485 and
senior standing in the Information Systems Dual-Diploma program. Offered in Spring
semester. 3 credits
Levels: Undergraduate
-
CS 499 - Undergraduate Research
Participation in research under supervision of a faculty member. Written report
and oral presentation required.
Levels: Undergraduate
-
CS 520 - Computer Architecture & Organ
Pipelined processors: basic theory, instruction pipelines, multifunction units,
dynamic instruction scheduling, branch handling, precise interrupts. Compiler techniques
for enhancing ILP. Pipelined vector machines. Superscalar, VLIW and EPIC architectures.
High-speed memory system design. Overview of parallel/multiprocessor architectures:
SIMD/MIMD systems, interconnection networks, synchronization and cache coherence.
Prerequisite: CS 320. Offered every semester when possible 3 credits
Levels: Graduate, Undergraduate
-
CS 526 - Wireless Sensor Networks
Wireless sensor networks contain a large number of self-organizing communication
devices. Each device has sensing, actuation, and wireless communication capability,
as well as a certain level of intelligence for signal processing. Wireless sensor
networks have been used in many applications such as personal communication, military
surveillance, habitat monitoring and scientific exploration. The hype indicates that
wireless sensor networks will dominate every aspect of our lives in the near future.
This class presents the fundamentals regarding the hardware and software of wireless
sensor networks. It synthesizes materials from many research papers, presenting principles,
commonalities and open research issues. In this course, students will also have an
opportunity to obtain hands-on experience on programming tiny communication devices
to sense and communicate. Topics covered include: the introduction of sensor networks
research; sensor network applications; programming sensor nodes by using TinyOS, NesC
and TOSSIM; wireless networking protocols; wireless media access control; middleware
(including time synchronization, localization, power management), security and privacy
in wireless sensor networks. Prerequisites: CS 350
Levels: Graduate, Undergraduate
-
CS 528 - Computer Networks
Communication protocols and layering, hardware-software infrastructures for networking,
MAC protocols, data link protocols, switching, inter- and intra-domain routing, the
TCP/IP protocol suite, transport protocols, application layer protocols, local and
system area networks, wireless and sensor networks, overlay and virtual networks,
client-server andpeer-to-peer models, network programming with sockets, protocol design
and implementation issues, network security. Prerequisite: CS 350. Term offered varies.
3 credits
Levels: Graduate, Undergraduate
-
CS 532 - Database Systems
Associations between data elements and data models: entity-relationship, relational
and object-oriented. Relational database design techniques. Formal and commercial
query languages. Introduction to query processing, transaction management and concurrency
control. Prerequisite: CS 375. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 533 - Information Retrieval
Indexing and data structures for storing and searching the index. Boolean, statistical,
inference nets and knowledge-based models. Thesaurus construction. Query expansion.
Natural language and linguistic techniques. Evaluation. Distributed information retrieval.
Information integration and fusion. Dissemination of information. Summaries, themes
and reading tours. Hypertext. Internet tools. Intelligent agents. Digital libraries.
Prerequisite: CS 375. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 535 - Introduction To Data Mining
Basic topics of data mining, including data preprocessing, mining association rules,
classification rules, clustering rules, post processing, and mining in unstructured
data. Prerequisite: CS 375. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 540 - Adv Topics - Obj Oriented Prog
Object-oriented programming and its concomitant design patterns provide rich abstractions
for program development. These programs will eventually execute on real hardware,
however. This course will investigate advanced object-oriented techniques and how
they interact with hardware and operating system issues. We will ground our topics
in C++, but the goal of the course will be to develop understanding that can be applied
across languages. We will examine different design techniques for things such as memory
management, and explore how and why they differ in performance and robustness. We
will also cover idioms such as "Resource Acquisition Is Initialization"
(RAII) and how they can be used to provide robust resource management for exceptions
(exception safety). We will also devote time to covering generic programming and related
topics such as expression templates. This is a growing area that seeks to decouple
algorithms and data structures through the use of templates and other meta-programming
techniques. These techniques exploit the fact that the C++ template mechanism is a
language-within-a-language that is executed at compile-time rather than run-time.
Additional topics include dynamic linking for techniques such as "plug-ins",
template instantiation mechanisms, template specialization, idioms for memory management,
thread-safety issues, thread-safety, C++ reflection. Prerequisites: CS 240 and CS
350.
Levels: Graduate
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CS 541 - Game Dev for Mobile Platforms
Catalog Description: This course focuses software development for mobile computing
platforms, such as smartphones and tablets, with an emphasis on games. Students will
develop interactive applications and utilize the wide variety of sensors and networking
features available on the platform, along with basic elements of graphics programming
and animation. The course also covers the mechanics of distributing software for mobile
computing platforms. Both iOS and Android operating systems will be covered. The course
will feature a mix of individual and team projects.
Prerequisite: CS 140 Programming with Objects & Data Structures, CS 350 Operating
Systems, CS 375 Design and Analysis of Algorithms, or equivalent.
3 Credits
Levels: Graduate, Undergraduate
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CS 542 - Design Patterns
Patterns for program design including examples of patterns used in existing software
libraries. Exercises in programming with design patterns and communicating designs
to other programmers using the language of patterns. Use of an object-oriented programming
language to implement patterns and principles for common design problems. Design patterns
are applied to problems involving features such as concurrency, sockets, streams,
reflection, and dynamic proxies. The course also discusses automating software build
processes with build tools.
Prerequisites: CS 140 and CS 375. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 544 - Programming for the Web
Catalog Description: An in-depth understanding of programming for the World Wide
Web: detailed coverage of widely used language(s) for web programming, asynchronous
programming, principles of web architecture, web protocols, web design patterns, client-side
programming, templating, server-side programming, a technical history of the web,
web security. Students are expected to have experience with a modern programming language
and will be assigned programming projects using current state-of-the-art web technologies.
Prerequisite: CS 350 Operating Systems, CS 375 Design and Analysis of Algorithms,
or equivalents.
3 credits
Levels: Graduate, Undergraduate
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CS 545 - Software Engineering
Software engineering practice applied to the life cycle of large software applications
and engineering projects. Software project planning and management: risk management,
estimation, scheduling, trade studies, CM and SQA. Software development: process model
selection, domain analysis, requirements gathering, analysis and design modeling,
user interface design, architectural and detailed design, documentation, testing strategies/methods,
test plan generation, and reuse. Advanced topics include formal methods and cleanroom
software engineering. Requires a major team project. Prerequisite: CS 375. Term offered
varies. 3 credits
Levels: Graduate, Undergraduate
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CS 547 - High Performance Computing
Catalog Description: An in-depth understanding of programming for the World Wide
Web: detailed coverage of widely used language(s) for web programming, asynchronous
programming, principles of web architecture, web protocols, web design patterns, client-side
programming, templating, server-side programming, a technical history of the web,
web security. Students are expected to have experience with a modern programming language
and will be assigned programming projects using current state-of-the-art web technologies.
Prerequisite: CS 350 Operating Systems, CS 375 Design and Analysis of Algorithms,
or equivalents.
3 Credits
Levels: Graduate, Undergraduate
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CS 550 - Operating Systems
Advanced topics in operating systems. Process synchronization, linguistic support
for concurrency, virtual memory, deadlock theory, robustness, security, mathematical
models and correctness of concurrent programs. Treatment of selected topics in distributed
and multiprocessor operating systems. Prerequisite: CS 350. Offered every semester
when possible. 3 credits
Levels: Graduate, Undergraduate
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CS 551 - Systems Programming
A detailed study of the application program interface of a modern operating system.
File operations, concurrency, processes, threads, inter-process communication, synchronization,
client-server programming, multi-tier programming. Prerequisite: CS 350. Term offered
varies. 3 credits
Levels: Graduate, Undergraduate
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CS 554 - Intro Real-Time Embedded Syst
This course covers important topics related to developing next generation real-time
embedded systems such as real-time scheduling, real-time operating systems, and sensor
networks. It will begin with an introduction to classical real-time systems. Following
the introduction, research papers envisioning future real-time systems will be discussed.
The class will include not only lectures but also discussions and brainstorming.
In this way, students can develop a solid understanding of real-time computing, while
improving research skills. Prerequisites: CS 350 and CS 428. Term offered varies.
3 credits
Levels: Graduate, Undergraduate
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CS 555 - Intro to Visual Info Processin
The course focuses on fundamental topics, including visual information acquisition,
representation, description, enhancement, restoration, transformations and compressions,
and reconstruction from projections. The second focus is on Computer Science applications,
including algorithms developed in applications such as statistical and syntactic pattern
recognition, robotic vision, multimedia indexing, visual data mining, and bio-informatics.
Prerequisite: CS 375. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 556 - Intro to Computer Vision
Course has two parts. Part one focuses on an introduction to the fundamental topics
of computer vision, including low-level vision, intermediate-level vision, high-level
vision, vision systems, visual knowledge representation, motion analysis, shape from
shading and 3D reconstruction, as well as image retrieval. Part two introduces the
applications of the fundamental computer vision techniques. Examples include robotic
vision, pattern recognition and medical imaging.
Levels: Graduate, Undergraduate
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CS 557 - Intro To Distributed Systems
Fundamental issues in distributed systems. Distributed synchronization and concurrency
control. Distributed process management (scheduling, remote invocation, task forces,
load balancing). Protection and security. Robust distributed systems. Case studies.
Prerequisite: CS 350. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 558 - Intro to Computer Security
The course provides an introduction to the principles and practices of network,
computer, and information security. Topics include authentication and cryptographic
techniques, intrusion detection, access control, security policies, and program/policy
analysis techniques. Prerequisite: CS 350 and CS 375. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 559 - Science of Cyber Security
This course focuses on techniques that approach cyber security problems in a principled
manner using concepts from data mining, game theory, graph theory, and psychology.
The intent of this course is to permit students to bridge the divide between real-world
cyber threats and formal, scientific foundations of solutions that address such threats.
Real-world cyber security issues, such as spamming, phishing attacks, malware, sybil
attacks in social networks, and DDoS attacks, are used to illustrate how cyber threats
can be modeled with abstract representations that are amenable to rigorous analysis
and formal reasoning. The course also emphasizes the development of cyber defense
mechanisms that are rooted in scientific foundations. Prerequisite: CS350 and CS 375
Levels: Graduate, Undergraduate
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CS 560 - Computer Graphics
Concepts, structure, techniques, algorithms for use of modern interactive computer
graphics systems. Graphics hardware, software system structure. Techniques and algorithms
for basic graphics input-output functions. Matrix techniques for transformations and
projections. Techniques for three-dimensional modeling and visualization. Prerequisites:
CS 375 and MATH 304. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 565 - Intro to Artificial Intelligen
This course will cover the basic ideas and techniques underlying the
design of artificial intelligence (AI) agents. Topics include search,
knowledge representation (and reasoning), planning, reasoning under uncertainty, machine
learning (including reinforcement learning), and applications (natural language processing,
vision, robotics, etc). 3 credits
Levels: Graduate, Undergraduate
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CS 571 - Programming Languages
Selected topics in programming languages and alternative programming paradigms.
Functional and imperative languages. Logic programming and object-oriented programming
paradigms. Languages for concurrent computation. Semantics of programming languages.
Prerequisite: CS 471. Offered every semester when possible. 3 credits
Levels: Graduate, Undergraduate
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CS 572 - Compiler Design
Fundamentals of programming language translation. Compiler design concepts. General
aspects of lexical analysis and parsing of context-free languages. Grammars and parsing
techniques. Syntax-directed translation. Declarations and symbol management. Semantic
processing and code generation. Principles, methods and examples of code optimization.
Prerequisite: CS 471. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 575 - Design & Analysis Comp Algorit
Analysis of programs and review of design techniques. Lower bound theory and NP-completeness.
Heuristic, approximation, probabilistic and parallel algorithms. Prerequisites: CS
375. Offered every semester when possible 3 credits
Levels: Graduate, Undergraduate
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CS 576 - Program Models Emerg Platforms
The landscape of computation platforms has changed dramatically in recent years.
Multi-core CPUs, CUDA-enabled game chips, and Android-powered smartphones are widely
available to millions of users, but programming on these emerging platforms remains
a challenging task. This course introduces a number of state-of-the-art programming
models on these platforms, and further explores the frontier of next-generation programming
language design that may potentially impact the future programming practice for emerging
platforms. In particular, the course investigates multi-core programming, GPGPU programming,
and Android programming. Applications of these programming models range from high-performance
computing, games, to energy-conscious systems. Prerequisites: Java programming, CS
320 and CS 350. Term offered varies. 3 credits
Levels: Graduate, Undergraduate
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CS 580B - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate
-
CS 580C - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580F - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580G - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580H - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580I - Special Topics
SPECIAL TOPICS
Levels: Graduate, Undergraduate
-
CS 580K - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580L - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate
-
CS 580M - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580N - Special Topics
SPECIAL TOPICS
Levels: Graduate, Undergraduate
-
CS 580P - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580R - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580S - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580U - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580W - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580Y - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 580Z - Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate, Undergraduate
-
CS 592 - Tech. Dev. Curriculum I
This course is a 32-week in-house course taught at BAE Systems for students enrolled
in the BAE ELDP program only and devoted to a broad review of engineering fundamentals,
with emphasis on interdisciplinary topics related to Electronic Systems products and
processes, technologies, applications, and problem solving techniques. Coursework
includes a team-project and presentation to engineering management.
Levels: Graduate, Undergraduate
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CS 593 - Tech. Dev. Curriculum II
This course is a 16-week in-house course taught at BAE Systems for students enrolled
in the BAE ELDP program only and devoted to challenging students with problems very
similar to those frequently facing Electronic Systems engineers. Coursework includes
a technical project requiring the application of systems, software, and hardware engineering
skills.
Levels: Graduate, Undergraduate
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CS 594 - Industrial Internship
Computer science, engineering and other professional experience. Daily log book
memo progress reports and a formal report required. May replace no more than one
lecture course for the MSCS or MEng degree. Prerequisite: consent of department chair.
Variable credit
Levels: Graduate, Undergraduate
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CS 595 - Termination Project
A theoretical or practical project carried out under the supervision of a member
of the Computer Science Department. Project documentation must be submitted to the
department library and a public presentation is required. Further information is available
in the department office. Prerequisites: consent of instructor and committee members.
Variable credit.
Levels: Graduate, Undergraduate
-
CS 597 - Independent Study
Independent study supervised by a computer science faculty member. Student must
obtain consent of instructor, who then determines description of study program, number
of credits, frequency of meetings and location. Variable credit
Levels: Graduate, Undergraduate
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CS 599 - Masters Thesis
Research for and preparation of thesis. Must be approved by department chair.
Levels: Graduate, Undergraduate
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CS 634 - Web Data Management
Advanced topics in Web data management. New techniques for retrieving documents
from search engines, including the use of links and user-behavior knowledge. Meta-search
engine techniques, including resource discovery and result fusion. Database approaches
for Web data management. Semi-structured data management, including data models, query
languages and XML. Topics may vary when offered in different years. Prerequisite:
CS 432 or 532. Corequisite: CS 533. Term offered varies. 3 cred
Levels: Graduate
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CS 635 - Advanced Data Mining Seminar
This course is a graduate seminar focusing on the state-of-the-art research issues
in the area of data mining. Each time this course is taught, the specific focus will
be on a research topic related to the instructor's research projects and
may be different for each offering. Students taking this course will be exposed to
major data mining research topics as well as the current literature.
Levels: Graduate
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CS 660 - Advanced Computer Graphics
A comprehensive review of the techniques needed to produce computer-generated shaded
images of three-dimensional scenes. Recent research results are presented. Students
design and implement portions of a three-dimensional graphics package. Topics selected
from modern graphics standards (PHIGS, X-Windows), user interface issues, 3-D viewing,
geometric modeling, image synthesis, image manipulation, animation, scientific visualization.
Prerequisite: CS 560. Term offered varies. 3 credits
Levels: Graduate
-
CS 680C - Advanced Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate
-
CS 680H - Special Topics
Levels: Graduate
-
CS 680M - Advanced Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate
-
CS 680P - Advanced Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate
-
CS 680R - Advanced Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate
-
CS 680S - Special Topics
Levels: Graduate
-
CS 680V - Advanced Special Topics
Special topics in Computer Science. 3 credits. Semester offered varies.
Levels: Graduate
-
CS 688 - Comp Sci Graduate Seminar
Weekly seminar presentation by invited speakers, department faculty and graduate
students on contemporary topics in computer science and related fields. May not be
used toward the MSCS. Prerequisites: graduate standing in computer science.
Levels: Graduate
-
CS 697 - Advanced Independent Study
Reading and research on special advanced topics under direction of computer science
advisor. Student must obtain consent of professor, who then determines description
of study program, number of credits, frequency of meetings, location.
Levels: Graduate
-
CS 698 - Predissertation Research
Reserved for exploratory research oriented toward dissertation.
Levels: Graduate
-
CS 699 - Dissertation
Research for and preparation of dissertation. Registration restricted to those
admitted to candidacy.
Levels: Graduate
-
CS 700 - Continuous Registration
every semester. 1 Credit
Levels: Graduate
-
CS 701 - Pract/Teaching &Research
Asst
Required for all funded graduate assistants. Research or teaching supervised by
faculty advisor.
Levels: Graduate, Undergraduate
-
CS 707 - Research Skills
Development of research skills required within graduate programs. May not be applied
toward course credits for any graduate degree. Prerequisite: approval of relevant
graduate program directors or department chairs.
Levels: Graduate