Computer Science (CSE) Department Information

COMPUTER SCIENCE (CSE) Fall 2024

Computer Science (CSE)

Major and Minor in Computer Science

Department of Computer Science, College of Engineering and Applied Sciences

Chair: Samir Das

Undergraduate Program Director: Kevin McDonnell

Undergraduate Advisor: Paul Fodor

Undergraduate Program Coordinators: Sara Gergen and Noelle Pluschau

Office: 231 Engineering Building

Phone: (631) 632-8470

Email: [email protected]

Website: http://www.cs.stonybrook.edu

Department Information - Computer Science (CSE)

Computer science is the study of computer systems, including the architecture of computers, development of computer software, information

processing, computer applications, algorithmic problem-solving, and the mathematical foundations of the discipline.

The Computer Science major provides professional education in computer science to prepare the student for graduate study or for a career in the

computing field. Students learn concepts and skills needed for designing, programming, and applying computer systems while also learning the

theoretical and mathematical foundations of computer science. They have sufficient freedom in the program to pursue other academic interests

in the liberal arts, sciences, and engineering to complement their study of computer science. The Computer Science program is accredited by the

Computing Accreditation Commission of ABET, http://www.abet.org.

Many students prepare for their professional careers through internships at local companies. Computer science graduates are recruited heavily,

and career opportunities include developing software systems for a diverse range of applications such as: user interfaces; networks; databases;

forecasting; web technologies; and medical, communications, satellite, and embedded systems. Many are employed in the telecommunication and

financial industries, and some are self-employed as heads of software consulting companies.

The Department of Computer Science offers two undergraduate majors: Computer Science and Information Systems. Requirements and courses

for the latter appear under the program title in the alphabetical listings of Approved Majors, Minors, and Programs. The two programs of study

share a number of courses, particularly in the first two years, so that it is possible to follow a program that permits a student to select either major

by the start of the junior year. The Department also offers a minor in computer science, a joint B.S./M.S. program, and an honors program.

Program Educational Objectives

The graduates of the computer science program will, within 3-5 years after graduation:

• Establish themselves as practicing professionals or engage in advanced study and

• Advance professionally through organized training or self-learning.

Student Outcomes

The students will demonstrate the following:

1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.

2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program's

discipline.

3. Communicate effectively in a variety of professional contexts.

4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.

5. Function effectively as a member or leader of a team engaged in activities appropriate to the program's discipline.

6. Apply computer science theory and software development fundamentals to produce computing-based solutions.

Computing Facilities

Computing facilities for undergraduates are maintained by both the University Computing Center and the Department of Computer Science. For a

description of the computing services provided by the University Computing Center, see the Student Services section of this Bulletin.

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COMPUTER SCIENCE (CSE) Fall 2024

The Department of Computer Science provides additional laboratories to support undergraduate instruction and research. The laboratory facilities

are regularly upgraded to keep pace with advances in technology. Current computing facilities include the Computer Science Undergraduate

Computing Laboratory; the Programming Techniques Teaching Laboratory with facilities for classroom instruction; the Computer Associates

Transactions Laboratory, used primarily for upper-level courses on databases, transaction processes, and Web applications; the Computer Science

Advanced Programming Laboratory, also donated by Computer Associates, Inc., which provides computing support for upper-level courses on

such topics as operating systems and user interfaces; and the Computer Science Multimedia Laboratory, used for courses on multimedia design.

Most of the laboratories are connected to the Internet via the campus network and are easily accessible by students from campus residences or

from off-campus via modem.

The Departmental research laboratories are available to undergraduate students working on supervised projects with computer science faculty.

Requirements for the Major and Minor in Computer Science (CSE)

Enrolling in CSE Courses

To enroll in CSE courses, students must:

Have completed all prerequisites with a grade of C or higher. (Pass/No Credit grades are not acceptable to meet prerequisites.) For transfer

students, official transfer credit evaluations must have been completed.

Failure to satisfy the prerequisites or to attend the first class may result in deregistration. The Pass/No Credit option is not available for CSE

courses.

Acceptance into the Computer Science Major

Qualified freshman and transfer students who have indicated their interest in the major on their applications may be admitted directly as a degree

major or as a pre-major. Pre-majors are placed into the Area of Interest (AOI) program and to be eligible for the degree, they must be admitted

to and declare the major. The requirements and application process for matriculation are detailed below. Students admitted to other programs

within the College of Engineering and Applied Science (CEAS) follow the same admissions process as students in the AOI program. Students

in programs outside of CEAS (non-CEAS students) and double major applicants may apply for admission to the degree program following a

separate process, outlined below.

Intellectual honesty and academic integrity are cornerstones of academic and scholarly work. The department may table any applications for

major/minor admission until academic judiciary matters are resolved. An academic judiciary matter will be identified by a grade of “Q” in the

instance of a first offense.

Area of Interest and Other CEAS Students (excluding double major applicants)

Applications for major admission from AOI and other CEAS students are reviewed twice per year and must be received by January 5 for Spring

admission and June 5 for Fall admission. Students who submit their application on time will be admitted if they meet the following requirements:

• Completed CSE 114, CSE 214, and CSE 215. (Honors students may substitute CSE 160, CSE 260, and CSE 150.) Transfer students

matriculating at Stony Brook with credit for some (but not all) of these courses must complete the remaining course(s) before applying

for major admission. Transfer students matriculating at Stony Brook with credit for all three courses must work with a CSE advisor

to identify an appropriate course to complete before applying for major admission. Once a student matriculates at Stony Brook, these

courses must be taken at Stony Brook University.

• Earn grades of B- or higher and a grade point average of 3.20 or higher in the above courses (Transfer students who have completed

equivalent courses at another school with grades of B- or higher need not retake these courses, but should keep in mind that grades do not

transfer and grade point averages are calculated on the basis of courses completed at Stony Brook).

• Repeated at most one of these courses.

• Earned a cumulative grade point average of 3.00 or higher.

Students must complete these requirements no later than one year after they enroll in the first course that applies towards major entry. Students

must apply for admission by the application deadline immediately following completion of the above requirements, but no later than the one year

limit. Admission of AOI students and other CEAS students who apply late will follow the process of Non-CEAS Students and Double Major

Applicants below.

Non-CEAS Students and Double Major Applicants

Applications for major admission from non-CEAS students and double major applicants are reviewed twice per year and must be received by

January 5 for Spring admission and June 5 for Fall admission. Students who do not meet the requirements for AOI admission above will not be

considered. Fulfilling the requirements does not guarantee acceptance. Admission is competitive and contingent upon program capacity.

Requirements for the Major

The major in Computer Science leads to the Bachelor of Science degree. Completion of the major requires approximately 80 credits. At least 24

credits from items 1 to 3 below, and at least 18 credits from items 2 and 3, must be completed at Stony Brook.

1. Required Introductory Courses

• CSE 114 Introduction to Object-Oriented Programming

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COMPUTER SCIENCE (CSE) Fall 2024

• CSE 214 Data Structures

• CSE 215 Foundations of Computer Science or CSE 150 Foundations of Computer Science: Honors

• CSE 216 Programming Abstractions

• CSE 220 Systems Fundamentals I

Note: Students may substitute the four courses CSE 160, CSE 161, CSE 260 and CSE 261 for the three courses CSE 114, CSE 214 and CSE 216.

2. Required Advanced Courses

• CSE 303 Introduction to the Theory of Computation or CSE 350 Theory of Computation: Honors

• CSE 310 Computer Networks

• CSE 316 Fundamentals of Software Development

• CSE 320 Systems Fundamentals II

• CSE 373 Analysis of Algorithms or CSE 385 Analysis of Algorithms: Honors

• CSE 416 Software Engineering

3. Computer Science Electives

Four upper-division technical CSE electives, each of which must carry at least three credits. Technical electives do not include teaching practica

(CSE 475), the senior honors project (CSE 495, 496), and courses designated as non-technical in the course description (such as CSE 301).

4. AMS 151, AMS 161 Applied Calculus I, II

Note: The following alternate calculus course sequences may be substituted for AMS 151, AMS 161 in major requirements or prerequisites:

MAT 125, MAT 126, MAT 127, or MAT 131, MAT 132. Equivalency for MAT courses achieved through the Mathematics Placement

Examination is accepted to meet MAT course requirements.

5. One of the following:

• MAT 211 Introduction to Linear Algebra

• AMS 210 Applied Linear Algebra

6. Both of the following:

• AMS 301 Finite Mathematical Structures

• AMS 310 Survey of Probability and Statistics or AMS 311 Probability Theory

7. At least one of the following natural science lecture/laboratory combinations:

BIO 201/204 or BIO 202/204 or BIO 203/204 or CHE 131/133 or CHE 152/154 or PHY 126/133 or PHY 131/133 or PHY 141/133

8. Additional natural science courses selected from above and the following list:

AST 203, AST 205, CHE 132, CHE 321, CHE 322, CHE 331, CHE 332, GEO 102, GEO 103, GEO 112, GEO 113, GEO 122, PHY 125, PHY

127, PHY 132, PHY 134, PHY 142, PHY 251, PHY 252

Note: The courses selected in 7 and 8 must carry at least 9 credits.

9. Professional Ethics

• CSE 312 Social, Legal, and Ethical Issues in Computing

10. Upper-Division Writing Requirement: CSE 300 Technical Communications

All degree candidates must demonstrate technical writing skills at a level that would be acceptable in an industrial setting. To satisfy the

requirement, students must pass CSE 300, a course that requires the completion of various writing assignments, including at least one significant

technical paper.

Note: All students are encouraged to discuss their program with an undergraduate advisor. In Requirement 2 above, CSE/ESE double majors may

substitute ESE 440, ESE 441 Electrical Engineering Design I, II for CSE 416 Software Engineering provided that the design project contains a

significant software component. Approval of the Department of Computer Science is required.

Grading

All courses taken to satisfy Requirements 1 through 10 must be taken for a letter grade. The courses in Requirements 1-6, 9, and 10 must be

passed with a letter grade of C or higher. The grade point average for the courses in Requirements 7 and 8 must be at least 2.00.

Specializations

In consultation with a program director, students have the option to select an area of specialization. This allows the student to take a subset of

courses, promoting in-depth exploration in the various fields of computer science. All courses taken to fulfill the requirements of a specialization

must be completed with a grade of C or higher.

Specialization in Artificial Intelligence and Data Science

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COMPUTER SCIENCE (CSE) Fall 2024

The specialization in artificial intelligence and data science emphasizes modern approaches for building intelligent systems using machine

learning. It requires four courses selected from the list below. The four courses must include at least two core courses. Students may declare their

participation in the specialization after completing two core courses.

1. Core Courses

1. CSE 351 Introduction to Data Science

2. CSE 352 Artificial Intelligence

3. CSE 353 Machine Learning

4. CSE 357 Statistical Methods for Data Science

2. Electives

• CSE 323 Human-Computer Interaction

• CSE 327 Fundamentals of Computer Vision

• CSE 332 Introduction to Visualization

• CSE 337 Scripting Languages

• CSE 354 Natural Language Processing

• CSE 371 Logic

• CSE 378 Introduction to Robotics

• CSE 390-394 Special Topics in Computer Science*

• CSE 487 Research in Computer Science*, CSE 495 Senior Honors Research Project I or CSE 496 Senior Honors Research Project II*

*Special topic or research project must be in artificial intelligence or data science.

Specialization in Human-Computer Interaction

The specialization in human-computer interaction emphasizes both the psychology aspects of effective human-computer interactions and the

technical design and implementation of systems for those interactions. It requires four core courses, two electives, and a project. Students may

declare their participation in the specialization after completing the courses in 1a and 1b.

1. Core Courses

a. CSE 323 Human-Computer Interaction

b. PSY 260 Survey in Cognition and Perception

c. CSE 328 Fundamentals of computer Graphics or CSE 332 Introduction to Visualization

d. CSE 333 User Interface Development

2. Two electives from the following, including at least one CSE course:

• CSE 327 Fundamentals of Computer Vision

• CSE 328 Fundamentals of Computer Graphics

• CSE 332 Introduction to Visualization

• CSE 333 User Interface Development

• CSE 334 Introduction to Multimedia Systems

• CSE 336 Internet Programming

• CSE 352 Artificial Intelligence

• CSE 364 Advanced Multimedia Techniques

• CSE 366 Introduction to Virtual Reality

• CSE 378 Introduction to Robotics

• CSE 390-394 Special Topics in Computer Science*

• PSY 366 Human Problem Solving

• PSY 368 Sensation and Perception

• PSY 369 Special Topics in Cognition and Perception

*Special topic must be in human-computer interaction.

3. Project

Completion of CSE 487 Research in Computer Science or CSE 488 Internship in Computer Science or CSE 495/CSE 496 Senior Honors

Research Project I, II, on a topic in human-computer interaction. The project may not be applied towards the requirements of another

specialization.

Specialization in Game Programming

The specialization in game programming prepares students for a career as either a professional game developer or researcher. Game graphics

and multiplayer network programming techniques are stressed. The specialization also emphasizes original game development, game design

methodology, and team projects and presentations. It requires four core courses, two electives, and a project. Students may declare their

participation in the specialization after completing two core courses.

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COMPUTER SCIENCE (CSE) Fall 2024

1. Core Courses

a. CSE 306 Operating Systems

b. CSE 328 Fundamentals of Computer Graphics

c. CSE 380 2D Game Programming

d. CSE 381 3D Game Programming

2. Two electives from the following:

CSE 327 Fundamentals of Computer Vision

CSE 331 Computer Security Fundamentals

CSE 332 Introduction to Visualization

CSE 334 Introduction to Multimedia Systems

CSE 352 Artificial Intelligence

CSE 353 Machine Learning

CSE 355 Computational Geometry

CSE 364 Advanced Multimedia Techniques

CSE 376 Advanced Programming in UNIX/C

CSE 378 Introduction to Robotics

3. Project

Completion of CSE 487 Research in Computer Science or CSE 488 Internship in Computer Science or CSE 495/CSE 496 Senior Honors

Research Project I, II, on a topic in game programming. The project may not be applied towards the requirements of another specialization.

Note: Students specializing in Game Programming are encouraged to complete the natural science sequence in physics, see part seven (7) of the

Requirements for the Major in Computer Science.

Specialization in Security and Privacy

The specialization in Security and Privacy prepares students for a career as a security engineer, threat analyst, or security / privacy researcher.

The courses under this specialization are taught by the computer science faculty affiliated with the National Security Institute. The specialization

covers the fundamentals of security and privacy, while also exposing the student to some of the latest developments. Students may declare their

participation in the specialization after completing one of the core courses and at least two other courses that fall under (1) or (2).

1. Core Courses

a. CSE 331 Computer Security Fundamentals

b. CSE 360 Software Security, CSE 361 Web Security, CSE 362 Mobile Security, or CSE 363 Offensive Security

2. Three electives from the following, not to include any course taken as a core course. Note that at most one course from each item may be used

to satisfy the specialization requirements.

CSE 360 Software Security

CSE 361 Web Security

CSE 362 Mobile Security

CSE 363 Offensive Security

CSE 304 Compiler Design or CSE 307 Principles of Programming Languages

CSE 306 Operating Systems or CSE 356 Cloud Computing or CSE 376 Advanced Systems Programming in UNIX/C

CSE 390-394 Special Topics in Computer Science*

CSE 487 Research in Computer Science*, CSE 495 Senior Honors Research Project I or CSE 496 Senior Honors Research Project II*

* The special topic or project course must be in computer security.

Specialization in Systems Software Development

The specialization in systems software development prepares students for a career in software applications development or systems software

development. Students may declare their participation in the specialization after completing two of the courses listed below.

Five of the following courses are required, at most two of which may be drawn from CSE 331, CSE 360-363:

CSE 304 Compiler Design

CSE 306 Operating Systems

CSE 311 Systems Administration

CSE 331 Computer Security Fundamentals

CSE 356 Cloud Computing

CSE 360 Software Security

CSE 361 Web Security

CSE 362 Mobile Security

CSE 363 Offensive Security

CSE 376 Advanced Systems Programming in Unix/C

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COMPUTER SCIENCE (CSE) Fall 2024

CSE 390-394: Special Topics in Computer Science*

*Special topics courses must be in systems software development.

The Honors Program

The Honors Program in Computer Science, a highly selective academic program within the major in Computer Science, offers a specially

designed curriculum to a limited number of exceptional students. The program is open to freshmen and to continuing students. To be admitted as

a freshman, students must demonstrate overall academic excellence by achieving a combined SAT score of at least 1430 on the critical reading

and math components of the SAT (with a score of 700 or higher in math), an unweighted high school average of 93 or higher (on a 100 point

scale), and high grade averages in mathematics and the natural sciences. Continuing Computer Science majors who meet all the following criteria

may apply to the Computer Science honors program: have U2 standing or higher, completed at least two technical CSE courses and earned a

weighted average of 3.50 in all CSE courses, and earned a cumulative grade point average of 3.50. Students whose GPA drops below the Honors

requirements may be asked to leave the program.

Honors course offerings include introductory course sequences in programming and in the foundations of computing, advanced courses on

selected topics that reflect active research areas within the Department, and a two-semester senior honors project. Students will be able to take

at least one honors course during most of the semesters in a four-year program of study. Honors program students must complete the regular

requirements of the Computer Science major. Final conferral of honors is contingent upon successful completion of all required courses in the

Computer Science major, the two-semester honors project, a minimum of three honors courses in addition to the project, and a grade point

average of at least 3.50, both cumulative and in CSE courses. Graduate courses may be counted as honors courses with prior approval of the

department. The teaching practicum CSE 475 may be substituted for one of the honors courses. Other suitable advanced undergraduate courses

may be counted as honors courses with prior approval of the department. The requirement of three honors courses can be relaxed to one course

for students with at least a 3.75 grade point average, both overall and for CSE courses.

Honors students in good standing at the end of the junior year will, on application, be recommended for admission to the five-year joint B.S./M.S.

program in Computer Science. B.S./M.S. applicants who successfully complete the honors program may be considered for a graduate student

assistantship. (It is recommended that these students complete an undergraduate teaching practicum in the junior or senior year.)

Requirements for the Minor

The minor in Computer Science is open to all students not majoring in either Computer Science or Information Systems or minoring

in Information Systems. To declare the minor in Computer Science, students must complete CSE 114 (or 160) and either CSE 214 (or 260) or

CSE 215 (or 150) with grades of B- or higher in each course. Priority is given to students with a GPA of 3.20 or higher in these CSE courses and

a cumulative GPA of 3.00 or higher. For students who have completed more than two CSE courses applicable towards minor entry, the GPA in

CSE courses is computed using the highest grades earned in two of CSE 114, CSE 214 and CSE 215. At most one of the courses used to meet

minor entry requirements may be repeated. Transfer students who have completed equivalent courses at another school with grades of B- or

higher need not retake these courses, but should keep in mind that grades do not transfer and grade point averages are calculated on the basis of

courses completed at Stony Brook. Only courses transferred before matriculation can be used for CSE minor admission purposes. Admission is

competitive and contingent upon program capacity.

The minor requires seven CSE courses totaling 22 to 24 credits as outlined below. Students who have declared the minor should see a Computer

Science Undergraduate Advisor to discuss a suitable selection of Computer Science electives.

1. CSE 114 Introduction to Object Oriented Programming

2. CSE 214 Data Structures

3. CSE 216 Programming Abstractions or CSE 220 Systems Fundamentals I

4. Four additional courses that are part of the CSE major, including three upper division CSE courses totaling at least nine credits (but excluding

CSE 300, CSE 312, CSE 475, CSE 487, CSE 488). Note: CSE 301 can not be used as a technical elective for the minor.

Note: Students may substitute CSE 160, CSE 161, CSE 260, and CSE 261 for CSE 114, CSE 214 and CSE 216; and CSE 150 for CSE 215.

Each course taken to satisfy the requirements for the minor must be passed with a letter grade of C or higher.

Joint B.S./M.S. Program

Computer Science majors may apply for admission to a special program that leads to a Bachelor of Science degree at the end of the fourth year

and a Master of Science degree at the end of the fifth year. Students usually apply to the program in their junior year.

Students must satisfy the respective requirements of both the B.S. degree and the M.S. degree, but the main advantage of the program is that nine

credits may be simultaneously applied to both the undergraduate and graduate requirements. The M.S. degree can therefore be earned in less time

than that required by the traditional course of study.

For more details about the B.S./M.S. program, see the undergraduate or graduate program director in the Department of Computer Science.

Sample Course Sequence for the Major in Computer Science

For more information about SBC courses that fulfill major requirements, click here.

FRESHMAN

FALL Credits

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COMPUTER SCIENCE (CSE) Fall 2024

First Year Seminar 101 1

WRT 101 3

CSE 101 (TECH) 4

AMS 151 (QPS) 3

Natural Science (SNW) 3

SBC 3

Total 17

SPRING Credits

First Year Seminar 102 1

WRT 102 (WRT) 3

AMS 161 3

Natural Science 3

CSE 114 (TECH) 4

Total 14

SOPHOMORE

FALL Credits

CSE 214 4

CSE 215 4

SBC 3

Natural Science 3

SBC 3

Total 17

SPRING Credits

CSE 216 4

CSE 220 4

AMS 210 3

SBC 3

Total 14

JUNIOR

FALL Credits

CSE 300 (SPK & WRTD) 3

CSE 316 3

CSE 303 3

AMS 301 3

SBC 3

Total 15

SPRING Credits

CSE 312 (STAS, CER, ESI) 3

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COMPUTER SCIENCE (CSE) Fall 2024

CSE 320 3

CSE 373 3

Elective 3

AMS 310 3

Total 15

SENIOR

FALL Credits

CSE 416 3

CSE technical elective 3

CSE 310 3

Elective 3

Total 15

SPRING Credits

CSE technical elective 3

Elective 3

Total 15

Notes:

• SBC refers to the following categories: DIV, HUM, SBS, ARTS, USA, GLO

• Students may satisfy the Pursue Deeper Understanding category of the SBC by completing CSE 316 and CSE 416.

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COMPUTER SCIENCE (CSE) - COURSES Fall 2024

CSE

Computer Science

CSE 101: Computer Science Principles

Introduces central ideas of computing

and computer science, instills practices of

algorithmic and computational thinking,

and engages students in the creative aspects

of the field. Also introduces appropriate

computing technology as a means for solving

computational problems and exploring

creative endeavors. Includes weekly computer

programming assignments, but assumes no

previous programming experience. May not be

taken by students with credit for CSE 114 or

CSE 160.

Prerequisite: Level 3 or higher on the

mathematics placement examination

Anti-requisite: May not be taken by students

with credit for CSE 114 or CSE 160

SBC: TECH

4 credits

CSE 102: Introduction to Web Design

and Programming

An introduction to the design of Web pages,

specifically the development of browser and

device independent HTML, with an emphasis

on the XHTML standards. Includes the use of

style sheets (CSS) and tools for page layout

and verification. HTML is presented as a

mark-up language, exploring the rules of

HTML elements and attributes. Students learn

the separation of page viewing information

from the HTML through CSS style sheets

as well as the use of block layout without

using HTML tables. Addresses HTML display

properties including text, color, image, and

graphic elements as well as approaches to

HTML validation and techniques.

Advisory Prerequisite: CSE 101 or basic

computer skills

SBC: TECH

3 credits

CSE 110: Introduction to Computer

Science

An introduction to fundamentals of computer

science. Topics covered include algorithmic

design, problem-solving techniques for

computer programming, fundamentals of

digital logic and computer organization, the

role of the operating system, introductory

programming methodology including

variables, assignment statements, control

statements and subroutines (methods),

programming paradigms, the compilation

process, theoretical limits of computation,

social and ethical issues. Intended for students

who have not taken any college-level computer

science course containing programming

assignments in a high-level programming

language.

Prerequisite: Level 3 or higher on the

mathematics placement examination

SBC: TECH

3 credits

CSE 113: Foundations of Computer

Science I

Introduction to the mathematical foundations

of computer science. Topics include logic

(propositional and predicate); proof techniques

(induction/recursion, contradiction, and

others); and key concepts of mathematical

structures (sequences, sets, functions, relations,

and graphs). Not for credit in addition to CSE

215.

Prerequisite: AMS 151 or MAT 125 or MAT

131 or level 6 on the mathematics placement

examination

4 credits

CSE 114: Introduction to Object-

Oriented Programming

An introduction to procedural and object-

oriented programming methodology. Topics

include program structure, conditional

and iterative programming, procedures,

arrays and records, object classes,

encapsulation, information hiding, inheritance,

polymorphism, file I/O, and exceptions.

Includes required laboratory. This course has

been designated as a High Demand/Controlled

Access (HD/CA) course. Students registering

for HD/CA courses for the first time will have

priority to do so.

Prerequisite: Level 5 or higher on the math

placement exam

Advisory Prerequisite: CSE 101 or ISE 108

SBC: TECH

4 credits

CSE 130: Introduction to Programming

in C

Introduces programming concepts using

the C language. Variables, data types, and

expressions. Conditional and iterative

statements, functions, and structures. Pointers,

arrays, and strings. Scope of variables and

program organization. Includes programming

projects of an interdisciplinary nature. Suitable

as an introductory programming course for

non-CSE majors.

Prerequisite: Level 3 or higher on the

mathematics placement examination

3 credits

CSE 150: Foundations of Computer

Science: Honors

Introduction to the logical and mathematical

foundations of computer science for computer

science honors students. Topics include

functions, relations, and sets; recursion and

functional programming; basic logic; and

mathematical induction and other proof

techniques.

Prerequisite: one MAT course that satisfies

D.E.C. C or QPS or score of level 4 on the

math placement exam; admission to Honors

in Computer Science or the Honors College

or the WISE Honors Program or University

Scholars or Simons STEM Scholars Program.

4 credits

CSE 160: Computer Science A: Honors

First part of a two-semester sequence,

CSE 160 and CSE 260. An introduction to

procedural and object-oriented programming

methodology and basic data structures. Topics

include program structure, conditional and

iterative programming, procedures, arrays,

object classes, encapsulation, information

hiding, inheritance, polymorphism, file I/O,

exceptions and simple data structures, such as

lists, queues and stacks.

Prerequisite: Honors in Computer Science

or the Honors College or the WISE Honors

Program or University Scholars or the Simons

STEM Scholars Program.

Advisory Prerequisite: CSE 101

SBC: TECH

3 credits

CSE 161: Laboratory for Computer

Science A: Honors

Must be taken concurrently with lecture

component, CSE 160; a common grade for

both courses will be assigned. Laboratory

sessions will focus on development of

pragmatic programming skills and use of

programming environments and tools in a

supervised setting.

Corequisite: CSE 160

1 credit

CSE 190: Special Topics in Practice

and Applications of Computer Science

A lecture course on a current topic in the

practice and application of computer science.

May be repeated as the topic changes.

SBC: TECH

3 credits

CSE 191: Special Topics in Practice

and Applications for Computer Science

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COMPUTER SCIENCE (CSE) - COURSES Fall 2024

A lecture course on a current topic in the

practice and application of computer science.

May be repeated as the topic changes.

SBC: TECH

3 credits

CSE 192: Special Topics in Practice

and Applications for Computer Science

A lecture course on a current topic in the

practice and application of computer science.

May be repeated as the topic changes.

SBC: TECH

3 credits

CSE 214: Data Structures

An extension of programming methodology

to data storage and manipulation on complex

data sets. Topics include: programming

and applications of data structures; stacks,

queues, lists, binary trees, heaps, priority

queues, balanced trees and graphs. Recursive

programming is heavily utilized. Fundamental

sorting and searching algorithms are examined

along with informal efficiency comparisons.

Prerequisite: C or higher in CSE 114

4 credits

CSE 215: Foundations of Computer

Science

Introduction to the logical and mathematical

foundations of computer science. Topics

include functions, relations, and sets;

recursion; elementary logic; and mathematical

induction and other proof techniques. Not for

credit in addition to CSE 113.

Prerequisite: AMS 151 or MAT 125 or MAT

131

4 credits

CSE 216: Programming Abstractions

Intermediate-level programming concepts and

paradigms, including functional programming,

object-orientation, basics of type systems,

memory management, program and data

abstractions, parameter passing, modularity,

and parallel programming. Includes weekly

recitations, which provide students with

experience in the practice of programming in a

variety of high-level languages.

Prerequisites: C or higher in CSE 214; CSE

major

4 credits

CSE 220: Systems Fundamentals I

Introduces systems-level programming

concepts using the C language and assembly

language, and explores the correspondence of

programming constructs in these languages.

Topics include internal data representation,

basic instructions and control structures,

bitwise operations, arithmetic operations,

memory management, pointers, function calls

and parameter passing, linking and loading.

Included is an overview of foundational topics

in computer architecture, organization and

networks.

Prerequisites: C or higher in CSE 214 or co-

requisite CSE 260 and CSE major

4 credits

CSE 230: Intermediate Programming in

C and C++

Intermediate programming concepts using the

C language in a UNIX environment. Files,

systems calls, stream I/O, the C preprocessor,

bitwise operations, the use of makefiles,

advanced formatting of input and output,

conversions. Introduction to object-oriented

programming using C++; classes, objects,

inheritance, aggregation, and overloading.

Suitable for all majors.

Prerequisite: CSE 130 or CSE 220 or ESE 124

or ESG 111 or BME 120 or MEC 102

3 credits

CSE 260: Computer Science B: Honors

Second part of a two-semester sequence, CSE

160 and CSE 260. Applies object-oriented

programming methodology to data storage and

manipulation on complex data sets, such as,

binary trees, heaps, priority queues, balanced

trees and graphs. Recursive programming

is heavily utilized. Fundamental sorting and

searching algorithms are examined along with

informal efficiency comparisons. Intermediate-

level programming language concepts and

paradigms, including functional programming,

basics of type systems, program and data

abstractions, and modularity.

Prerequisite: CSE 160

Corequisite: CSE 261

3 credits

CSE 261: Laboratory for Computer

Science B: Honors

Must be taken concurrently with lecture

component, CSE 260; a common grade

for both courses will be assigned. Weekly

laboratories provide students with experience

in the practice of programming in a variety

of high-level languages such as Java, Scala,

Haskell, Python or Javascript.

Corequisite: CSE 260

1 credit

CSE 300: Technical Communications

Principles of professional technical

communications for Computer Science and

Information Systems majors. Topics include

writing business communications, user

manuals, press releases, literature reviews,

and research abstracts. Persuasive oral

communications and effective presentation

techniques, to address a range of audiences,

will also be covered. This course satisfies the

upper-division writing requirement for CSE

and ISE majors.

Prerequisites: WRT 102; CSE or ISE or DAS

major; U3 or U4 standing

SBC: SPK, WRTD

3 credits

CSE 301: History of Computing

A study of the history of computational

devices from the early ages through the end

of the 20th century. Topics include needs for

computation in ancient times, development

of computational models and devices through

the 1800's and early 1900's, World War II

and the development of the first modern

computer, and early uses in business. Creation

of programming languages and the microchip.

Societal changes in computer usage due

to the microcomputer, emergence of the

Internet, the World Wide Web, and mobile

computing. Legal and social impacts of

modern computing. Cannot be used as a

technical elective for the CSE major or minor.

This course is offered as both CSE 301 and

ISE 301.

Prerequisite: U2 standing or higher

Advisory Prerequisite: one course in

computing

DEC: H

SBC: STAS

3 credits

CSE 303: Introduction to the Theory of

Computation

An introduction to the abstract notions

encountered in machine computation. Topics

include finite automata, regular expressions,

and formal languages, with emphasis on

regular and context-free grammars. Questions

relating to what can and cannot be done by

machines are covered by considering various

models of computation, including Turing

machines, recursive functions, and universal

machines. Not for credit in addition to CSE

350.

Prerequisites: C or higher: CSE 160 or CSE

214; CSE 150 or CSE 215; CSE major

3 credits

CSE 304: Compiler Design

Topics studied include formal description

of programming languages, lexical analysis,

syntax analysis, symbol tables and memory

allocation, code generation, and interpreters.

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COMPUTER SCIENCE (CSE) - COURSES Fall 2024

Students undertake a semester project that

includes the design and implementation of

a compiler for a language chosen by the

instructor.

Prerequisites: C or higher: CSE 216 or CSE

260; CSE 220

Advisory Prerequisites: CSE 303 or CSE 350

3 credits

CSE 305: Principles of Database

Systems

The design of database management

systems to obtain consistency, integrity, and

availability of data. Conceptual models and

schemas of data: relational, hierarchical, and

network. Students undertake a semester project

that includes the design and implementation of

a database system.

Prerequisites: C or higher: CSE 214, CSE 216

or CSE 260; CSE or DAS major

3 credits

CSE 306: Operating Systems

Students are introduced to the structure of

modern operating systems. Topics include

virtual memory, resource allocation strategies,

concurrency, and protection. The design and

implementation of a simple operating system

are performed. This course focuses on teaching

the skills required to design and build modules

of an operating system kernel. It covers key

algorithms and architectures. A companion

course, CSE 320, teaches complementary skills

from the application programmer's point of

view.

Prerequisites: C or higher: CSE 320 or ESE

280; CSE Major or ECE major.

3 credits

CSE 307: Principles of Programming

Languages

An introduction to programming languages

paradigms, including functional and logic

programming, and the suitability of various

languages for particular programming tasks.

Students write sample programs in the studied

languages. The languages are used to illustrate

programming language constructs such as

scoping and binding, type systems, storage

management and operating environments. This

illustration is accompanied by an introduction

to the implementation of programming

languages, such as parsing, semantic analysis,

symbol tables, memory allocation and code

generation. Students complete a series of

assignments to implement a language chosen

by the instructor.

Prerequisites: C or higher: CSE 214, CSE 216

or CSE 260; CSE or DAS major.

3 credits

CSE 310: Computer Networks

Overview of computer networks and the

Internet. Concept of end systems, access

networks, clients and servers. Connection-

oriented and connectionless services. Circuit

switching and packet switching. Description of

Internet protocol layers, including application

layer, transport layer, network layer and link

layer. Architecture of the current Internet and

the World-Wide Web. TCP/IP protocol stack.

Internet routing and addressing. Local area

network protocols, Ethernet hubs and switches.

Wireless LANs. Multimedia networking. May

not be taken by students with credit for ESE

346.

Prerequisites: C or higher: CSE 214 or 260;

CSE 220 or ISE 218; CSE major or ISE major.

Advisory Pre- or Corequisite: AMS 310

3 credits

CSE 311: Systems Administration

This course covers practical techniques to

manage information systems, also known as

IT Systems Administration. Students will learn

how to install computers for assorted hardware

and software platforms (Windows, Unix/

Linux, OS-X). Install networking equipment

and configure it. Install server software on

several systems (e.g. web, database, mail)

and configure it. Secure the network, hosts,

and services, and apply system patches. Set

up redundant computing services, virtual

machines/services, and hardware so that

services can survive some hardware/software

failures. Evaluate the performance, reliability,

and security of the overall system. This course

is offered as both CSE 311 and ISE 311.

Prerequisites: CSE 214 or CSE 230 or CSE

260 or ISE 208; ISE or CSE major

3 credits

CSE 312: Social, Legal, and Ethical

Issues in Computing

This course deals with the impact of computers

on us as individuals and on our society. Rapid

changes in computing technology and in our

use of that technology have changed the ways

we work, play, and interact with other people.

These changes have created a flood of new

social, legal and ethical issues that demand

critical examination. This course is offered as

both CSE 312 and ISE 312.

Prerequisites: CSE, ISE or DAS major; U3 or

U4 standing; one D.E.C. E or SNW course

SBC: CER, ESI, STAS

3 credits

CSE 316: Fundamentals of Software

Development

Introduction to systematic design, development

and testing of software systems, including

event-driven programming, information

management, databases, principles and

practices for secure computing, and version

control. Students apply these skills in the

construction of large, robust programs.

Prerequisites: C or higher in CSE 214 or CSE

260; CSE 216 or CSE 307; CSE major

3 credits

CSE 320: Systems Fundamentals II

This course introduces essential concepts of

operating systems, compilers, concurrency,

and performance analysis, focused around

several cross-cutting examples, such as

memory management, error handling, and

threaded programming. In this course,

operating systems concepts are considered

from the point of view of the application

programmer, and the focus is on APIs for

interacting with an operating system. A

companion course, CSE 306, considers

operating systems from the point of view of

the OS kernel implementer.

Prerequisite: C or higher: CSE 220 and CSE

major.

3 credits

CSE 323: Human-Computer Interaction

A survey course designed to introduce students

to Human-Computer Interaction and prepare

them for further study in the specialized

topics of their choice. Students will have the

opportunity to delve deeper in the course

through a course project, and through a

two-three week special topic selected at the

instructor's discretion. Course is cross-listed as

CSE 323, EST 323 and ISE 323.

Prerequisites: CSE 214 or CSE 230 or CSE

260 or ISE 208

3 credits

CSE 325: Computers and Sculpture

This multidisciplinary class surveys how

computer science and computer technology

are used in sculpture. Case studies with

slides, videos, and software demonstrations

illustrate a range of approaches of sculptors

incorporating computers in their creative

process. Various state-of-the art fabrication

technologies are studied (with site visits

if available on campus). Mathematical

foundations are emphasized so students can

recognize them when analyzing sculpture

and choose the right tool when designing.

In the weekly laboratory, these ideas are

reinforced with projects using a range

of available software and inexpensive

construction materials, e.g., paper, cardboard,

and foamcore.

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COMPUTER SCIENCE (CSE) - COURSES Fall 2024

Prerequisite: CSE 110 or CSE 101 or CSE 114

3 credits

CSE 327: Fundamentals of Computer

Vision

Introduces fundamental concepts, algorithms,

and techniques in visual information

processing. Covers image formation, binary

image processing, image features, model

fitting, optics, illumination, texture, motion,

segmentation, and object recognition.

Prerequisites: CSE 214 or CSE 230 or CSE

260; AMS 210 or MAT 211; CSE or ISE or

DAS major

3 credits

CSE 328: Fundamentals of Computer

Graphics

An introduction to computer graphics

including graphics application programming;

data structures for graphics; representing

and specifying color; fundamental hardware

and software concepts for calligraphic and

raster displays; two-dimensional, geometric

transformations; introduction to three-

dimensional graphics; graphics standards; and

input devices, interaction handling, and user-

computer interface.

Prerequisites: C or higher: CSE 220; CSE or

DAS major

3 credits

CSE 331: Computer Security

Fundamentals

Introduces the basic concepts and terminology

of computer security. Covers basic security

topics such as cryptography, operating systems

security, network security, and language-based

security.

Prerequisite: CSE 220; CSE major

Advisory pre-or corequisite: CSE 320

3 credits

CSE 332: Introduction to Visualization

This course is an introduction to both the

foundations and applications of visualization

and visual analytics, for the purpose of

understanding complex data in science,

medicine, business, finance, and many

others. It will begin with the basics - visual

perception, cognition, human-computer

interaction, the sense-making process, data

mining, computer graphics, and information

visualization. It will then move to discuss

how these elementary techniques are coupled

into an effective visual analytics pipeline that

allows humans to interactively think with data

and gain insight. Students will get hands-on

experience via several programming projects,

using popular public-domain statistics and

visualization libraries and APIs. This course is

offered as both CSE 332 and ISE 332.

Prerequisites: CSE 214 or CSE 260; MAT 211

or AMS 210; AMS 110 or AMS 310; CSE or

ISE or DAS major

3 credits

CSE 333: User Interface Development

Survey of user interface systems, with

emphasis on responsive and adaptive strategies

to accommodate cross-platform deployment

across multiple devices such as desktops

and mobile devices. Demonstration of the

use of tool kits for designing user interfaces.

Additional topics include human factors,

design standards, and visual languages.

Students participate in a project involving the

design and implementation of user interface

systems. This course is offered as both CSE

333 and ISE 333.

Prerequisite: CSE 214 or CSE 260; CSE or

ISE major

3 credits

CSE 334: Introduction to Multimedia

Systems

Survey of technologies available for user

interfaces. Discussion of hypertext; voice,

music, and video together with tools and

models for capturing, editing, presenting,

and combining them. Capabilities and

characteristics of a range of peripheral devices

including devices based on posture, gesture,

head movement, and touch. Case studies of

academic and commercial multimedia systems

including virtual reality systems. Students

participate in laboratory exercises and build a

multimedia project. This course is offered as

both CSE 334 and ISE 334.

Prerequisite: U2, U3 or U4 standing; CSE or

ISE major

3 credits

CSE 336: Internet Programming

Introduces the design and development of

software for Internet commerce. Topics

include extended markup language, servlets,

cookies, sessions, Internet media types, Web

protocols, digital signatures, certificates,

encryption, and the wireless Internet.

Prerequisites: C or higher in CSE 214 or CSE

260; CSE major

3 credits

CSE 337: Scripting Languages

Scripting languages are widely used in the

IT industry. Programming with scripting

languages, also known as scripting, has

several advantages compared to programming

with other types of languages in that scripts

facilitate rapid program development; can

automate high-level jobs or tasks very

effectively; and can be used to compose

various software components, even binaries,

into more complex and powerful applications.

This course introduces the principles of

scripting, covers one or two selected scripting

languages in depth, and illustrates the

advanced use of scripting by extensive case

studies in application areas such as system

administration, web application development,

graphical user interface development, and text

processing.

Prerequisites: CSE 214 or CSE 260; CSE or

ISE or DAS major; U3 or U4 standing

3 credits

CSE 350: Theory of Computation:

Honors

Introduces the abstract notions of machine

computation for honors students. Includes

finite automata, regular expressions, and

formal languages, with emphasis on regular

and context-free grammars. Explores what

can and cannot be computed by considering

various models of computation including

Turing machines, recursive functions, and

universal machines. Not for credit in addition

to CSE 303.

Prerequisites: CSE 113 or CSE 150 or CSE

215; AMS 210 or MAT 211; Honors in

Computer Science or the Honors College

or the WISE Honors Program or University

Scholars or the Simons STEM Scholars

Program.

4 credits

CSE 351: Introduction to Data Science

This multidisciplinary course introduces both

theoretical concepts and practical approaches

to extract knowledge from data. Topics include

linear algebra, probability, statistics, machine

learning, and programming. Using large data

sets collected from real-world problems in

areas of science, technology, and medicine,

we introduce how to preprocess data, identify

the best model that describes the data, make

predictions, evaluate the results, and finally

report the results using proper visualization

methods. This course also teaches state-of-the

art tools for data analysis, such as Python and

its scientific libraries.

Prerequisites: CSE 214 or CSE 260; AMS 310;

CSE or DAS major

3 credits

CSE 352: Artificial Intelligence

Topics covered include critique of artificial

intelligence research; state-space problem

representations and search algorithms; game-

playing programs; theorem-proving programs;

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COMPUTER SCIENCE (CSE) - COURSES Fall 2024

programs for the study and simulation of

cognitive processes and pattern recognition.

Further topics in current research as time

permits.

Prerequisites: CSE 316 or CSE 351; CSE or

DAS major

3 credits

CSE 353: Machine Learning

Covers fundamental concepts for intelligent

systems that autonomously learn to perform a

task and improve with experience, including

problem formulations (e.g., selecting input

features and outputs) and learning frameworks

(e.g., supervised vs. unsupervised), standard

models, methods, computational tools,

algorithms and modern techniques, as well

as methodologies to evaluate learning ability

and to automatically select optimal models.

Applications to areas such as computer vision

(e.g., character and digit recognition), natural-

language processing (e.g., spam filtering)

and robotics (e.g., navigating complex

environments) will motivate the coursework

and material.

Prerequisites: CSE 316 or CSE 351; CSE or

DAS major

Pre- or Co-requisite: AMS 310 or AMS 311 or

AMS 412

3 credits

CSE 354: Natural Language Processing

Natural language processing techniques power

many intelligent language based applications.

This course will introduce basic language

analysis tasks such as language modeling and

syntactic analysis, as well as core applications

such as text classification, information

extraction, question answering, and machine

translation. The course will cover relevant

algorithms, machine learning solutions, and

evaluation methodologies.

Prerequisites: CSE 316 or CSE 351; CSE or

DAS major

3 credits

CSE 355: Computational Geometry

The design and analysis of efficient algorithms

to solve geometric problems that arise in

computer graphics, robotics, geographical

information systems, manufacturing, and

optimization. Topics include convex hulls,

triangulation, Voronoi diagrams, visibility,

intersection, robot motion planning, and

arrangements. This course is offered as both

AMS 345 and CSE 355.

Prerequisites: AMS 301; programming

knowledge of C or C++ or Java

3 credits

CSE 356: Cloud Computing

Creating online services capable of handling

millions of users requires a different mindset

compared to traditional software development

and deployment. Rather than building

monolithic software packages from the ground

up, bringing up modern online services calls

for architecting systems by gluing together

mature existing technologies deployed across

many unreliable servers, working in concert

to provide high-availability robust services.

In this course, students will be exposed to the

concepts and technologies behind deploying

and scaling online services on the computing

resources available in modern datacenters.

Prerequisites: C or higher: CSE 316; CSE

320; CSE major

3 credits

CSE 357: Statistical Methods for Data

Science

This interdisciplinary course introduces the

mathematical concepts required to interpret

results and subsequently draw conclusions

from data in an applied manner. The course

presents different techniques for applied

statistical inference and data analysis,

including their implementation in Python,

such as parameter and distribution estimators,

hypothesis testing, Bayesian inference, and

likelihood.

Prerequisite: C or higher in CSE 316 or CSE

351; AMS 310; CSE or DAS major

3 credits

CSE 360: Software Security

This course will describe the principles

and practice of securing software systems.

Topics will include: software vulnerabilities;

static and dynamic analysis techniques for

vulnerability detection; exploit detection and

prevention; secure software development

techniques and defensive programming;

malware detection and analysis; security

policies and sandboxing; information flow.

Prerequisites: CSE 220; CSE major

Advisory Pre-or corequisite: CSE 320

3 credits

CSE 361: Web Security

This course will cover all aspects of web

security, including browser security, web

server security, and web application security.

Topics include: SOP and JavaScript;

application and protocol vulnerabilities;

probing, surveillance, and tracking; penetration

testing; modern social engineering techniques;

monetary incentives and monetization.

Prerequisites: CSE 220; CSE major

Advisory Pre-or corequisite: CSE 320

3 credits

CSE 362: Mobile Security

The course covers the latest security

technologies for mobile platforms (e.g.,

Android and iOS). It first introduces the

security issues plaguing mobile apps and

discusses defensive mechanisms, such as code

signing, app permissions, and sandbox. It

then peeks into mobile OS, explaining how

jailbreaking/rooting works and the internals

of iOS/Android security designs. Finally,

it surveys modern hardware-level security

features, such as secure booting, TrustZone,

and biometrics.

Prerequisites: CSE 220; CSE major

Advisory Pre-or corequisite: CSE 320

3 credits

CSE 363: Offensive Security

Hands-on course with the goal of

understanding various security problems

in depth, through a more adversarial way

of thinking. By focusing on finding and

exploiting vulnerabilities, the course will

cover a broad range of topics, including

the ethics of offensive security, reverse

engineering, software vulnerability discovery

and exploitation, malicious code analysis,

network traffic interception and manipulation,

reconnaissance and information gathering,

physical security, and social engineering.

All topics will be covered from a highly

practical perspective, following a hands-on

approach and tutorial-like sessions, along with

programming assignments.

Prerequisites: CSE 220; CSE major

Advisory Pre-or corequisite: CSE 320

3 credits

CSE 364: Advanced Multimedia

Techniques

Digital media production techniques for high-

bandwidth applications such as electronic

magazine illustration, broadcast television,

and motion picture special effects. Students

explore techniques such as 3D modeling and

character animation, video compositing, and

high-resolution image processing in a state-

of-the art multimedia computing laboratory.

High-capacity mutlimedia storage, high-speed

networks, and new technologies such as DVD,

HDTV, and broadband will be reviewed. This

course is offered as both CSE 364 and ISE

364.

Prerequisites: CSE/ISE 334

3 credits

CSE 366: Introduction to Virtual Reality

An introduction to the practical issues in

the design and implementation of virtual

environments. Topics covered include the

fundamentals of systems requirements,

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COMPUTER SCIENCE (CSE) - COURSES Fall 2024

transformations, user-interaction models,

human vision models, tracking systems, input/

output devices and techniques, and augmented

reality. The topics covered are explained

through the use of real-life applications of

virtual-reality systems in engineering, science,

and medicine.

Prerequisites: CSE 214 or CSE 260; MAT 211

or AMS 210; CSE or ISE major

3 credits

CSE 370: Wireless and Mobile

Networking

The fundamentals of wireless communication.

Link, network and transcript layer protocols

for wireless and mobile networking. Cellular

networks. Wireless LANs. Wireless multihop

networks. Mobile applications.

Prerequisite: CSE 310; CSE major

3 credits

CSE 371: Logic

A survey of the logical foundations of

mathematics: development of propositional

calculus and quantification theory, the notions

of a proof and of a model, the completeness

theorem, Goedel's incompleteness theorem.

This course is offered as both CSE 371 and

MAT 371.

Prerequisite: CSE 113 or CSE 150 or CSE 215

or MAT 200 or MAT 250

3 credits

CSE 373: Analysis of Algorithms

Mathematical analysis of a variety of computer

algorithms including searching, sorting, matrix

multiplication, fast Fourier transform, and

graph algorithms. Time and space complexity.

Upper-bound, lower- bound, and average-case

analysis. Introduction to NP completeness.

Some machine computation is required for the

implementation and comparison of algorithms.

This course is offered as CSE 373 and MAT

373. Not for credit in addition to CSE 385.

Prerequisites: C or higher in: CSE 113 or CSE

150 or CSE 215 or MAT 200 or MAT 250;

MAT 211 or AMS 210; CSE 214 or CSE 260;

CSE or MAT or DAS major

3 credits

CSE 376: Advanced Systems

Programming in UNIX/C

Focuses on several aspects of producing

commercial-grade system software: reliability,

portability, security, and survivability. Uses

Unix and C, heavily used in industry when

developing systems and embedded systems

code. Emphasizes techniques and tools to

produce reliable, secure, and highly portable

code. Requires substantial programming as

well as a course project.

Prerequisites: C or higher: CSE 320; CSE

major

3 credits

CSE 377: Introduction to Medical

Imaging

An introduction to the mathematical, physical,

and computational principles underlying

modern medical imaging systems. Covers

fundamentals of X-ray computer tomography,

ultrasonic imaging, nuclear imaging, and

magnetic resonance imaging (MRI), as

well as more general concepts required for

these, such as linear systems theory and the

Fourier transform. Popular techniques for

the visualization, segmentation, and analysis

of medical image data are discussed, as well

as applications of medical imaging, such as

image-guided intervention. The course is

appropriate for computer science, biomedical

engineering, and electrical engineering majors.

Prerequisites: AMS 161 or MAT 127 or 132;

AMS 210 or MAT 211

3 credits

CSE 378: Introduction to Robotics

Introduces basic concepts in robotics including

coordinate transformation, kinematics,

dynamics, Laplace transforms, equations of

motion, feedback and feedforward control,

and trajectory planning. Covers simple and

complex sensors (such as cameras), hybrid

and behavior based control and path planning.

Concepts are illustrated through laboratories

using the LEGO Robot Kit.

Prerequisites: AMS 161 or MAT 127 or 132;

AMS 210 or MAT 211 or MEC 262

3 credits

CSE 380: 2D Game Programming

An introduction to the fundamental concepts of

computer game programming. Students design

and develop original games for PCs applying

proven game design and software engineering

principles.

Prerequisite: CSE 220; CSE major

3 credits

CSE 381: 3D Game Programming

This course explores the concepts and

technologies behind making 3D, networked

games. This will include the examination of

game engine creation as well as the use of

middleware to build graphically sophisticated

game systems.

Prerequisite: CSE 220; CSE major

3 credits

CSE 385: Analysis of Algorithms:

Honors

Algorithmic design and analysis for Computer

Science Honors students. Mathematical

analysis of a variety of computer algorithms

including searching, sorting, matrix

multiplication, fast Fourier transform, and

graph algorithms. Time and space complexity.

Upper-bound, lower-bound, and average-case

analysis. Randomization. Introduction to NP

completeness. Some machine computation

is required for the implementation and

comparison of algorithms. Not for credit in

addition to CSE/MAT 373.

Prerequisites: CSE 113 or CSE 150 or CSE

215 or MAT 200 or MAT 250; AMS 210 or

MAT 211; CSE 214 or CSE 260; Honors in

Computer Science or the Honors College

or the WISE Honors Program or University

Scholars or Simons STEM Scholars.

4 credits

CSE 390: Special Topics in Computer

Science

A lecture or seminar course on a current topic

in computer science. May be repeated as the

topic changes, but cannot be used more than

twice to satisfy CSE major requirements.

Prerequisite: CSE 214 or CSE 260; CSE or

ISE Major

3 credits

CSE 391: Special Topics in Computer

Science

A lecture or seminar course on a current topic

in computer science. May be repeated as the

topic changes, but cannot be used more than

twice to satisfy CSE major requirements.

Prerequisite: CSE 214 or CSE 260; CSE or

ISE Major

3 credits

CSE 392: Special Topics in Computer

Science

A lecture or seminar course on a current topic

in computer science. May be repeated as the

topic changes, but cannot be used more than

twice to satisfy CSE major requirements.

Prerequisite: CSE 214 or CSE 260; CSE or

ISE Major

3 credits

CSE 393: Special Topics in Computer

Science

A lecture or seminar course on a current topic

in computer science. May be repeated as the

topic changes, but cannot be used more than

twice to satisfy CSE major requirements.

Prerequisite: CSE 214 or CSE 260; CSE or

ISE Major

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COMPUTER SCIENCE (CSE) - COURSES Fall 2024

3 credits

CSE 394: Special Topics in Computer

Science

A lecture or seminar course on a current topic

in computer science. May be repeated as the

topic changes, but cannot be used more than

twice to satisfy CSE major requirements.

Prerequisite: CSE 214 or CSE 260; CSE or

ISE Major

3 credits

CSE 416: Software Engineering

Introduces the basic concepts and modern

tools and techniques of software engineering.

Emphasizes the development of reliable

and maintainable software via system

requirements and specifications, software

design methodologies including object-

oriented design, implementation, integration,

and testing; software project management; life-

cycle documentation; software maintenance;

and consideration of human factor issues.

Prerequisites: C or higher in CSE 316; U4

standing; CSE major.

3 credits

CSE 475: Undergraduate Teaching

Practicum

Students assist faculty in teaching by

conducting a recitation or laboratory section

that supplements a lecture course. The student

receives regularly scheduled supervision from

the faculty instructor. May be used as an open

elective only and repeated once.

Prerequisites: U3 or U4 standing as an

undergraduate CEAS major; a minimum g.p.a.

of 3.00 in all Stony Brook courses; grade of B

or better in the course in which the student is

to assist and permission of department.

SBC: EXP+

3 credits

CSE 487: Research in Computer

Science

An independent research project with faculty

supervision. Only three credits of research

electives (AMS 487, CSE 487, BME 499,

ESE 499, ESM 499, ISE 487, and MEC 499)

may be counted toward technical elective

requirements. May not be taken for more than

six credits.

Prerequisites: Permission of instructor and

department

0-3 credits

CSE 488: Internship in Computer

Science

Participation in local, state, national, or

international private enterprise, public

agencies, or nonprofit institutions. To obtain

permission to register for the courses, students

are required to submit proof that the work

is related to their studies and the work will

include a minimum of 180 hours during the

semester. During the semester, the student

will submit progress reports and a final report

on their experience to the client and to the

department. May be repeated up to a limit

of 12 credits but can only be used once as

a technical elective to satisfy CSE major

requirements.

Prerequisites: CSE major, U3 or U4 standing;

permission of department

SBC: EXP+

3 credits, S/U grading

CSE 495: Senior Honors Research

Project I

A two-semester research project carried out

under the supervision of a computer science

faculty member. Students who enroll in CSE

495 must complete CSE 496 in the subsequent

semester and receive only one grade upon

completion of the sequence.

Prerequisite: Admission to Honors in

Computer Science; permission of instructor

and department.

3 credits

CSE 496: Senior Honors Research

Project II

A two-semester research project carried out

under the supervision of a computer science

faculty member. Students must submit a

written project report and make a presentation

to the department at the year-end Honors

Project Colloquium.

Prerequisite: CSE 495; permission of

instructor and department

3 credits

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