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Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

1000. Computers in Modern Society

3.00 credits

Prerequisites: Not open for credit to students who have passed CSE 1110 or 1160 or 130.

Grading Basis: Graded

Introduction to computer applications in the humanities, social sciences, business, and other fields. Influence of the computer on modern society and technology. Elements of computer usage in the solution of numeric and non-numeric problems including introduction to programming methods. Students who anticipate extensive study or use of computers in their future work should take CSE 1100-1102 rather than this course.

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1010. Introduction to Computing for Engineers

3.00 credits

Prerequisites: Not open for credit to students who have passed CSE 1100 or 1729.

Grading Basis: Graded

Introduction to computing logic, algorithmic thinking, computing processes, a programming language and computing environment. Knowledge obtained in this course enables use of the computer as an instrument to solve computing problems. Representative problems from science, mathematics, and engineering will be solved.

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1100. Introduction to Computing

2.00 credits

Prerequisites: Not open for credit to students who have passed CSE 110 or CSE 130.

Grading Basis: Graded

Problem solving with the computer, basics of data representation and computer organization, procedural and object-oriented programming in a modern language including control structures, functions and parameter passing, one and two dimensional arrays, numerical error and basic numerical methods. Examples taken from various disciplines. Programming projects required. Intellectual property issues discussed. GEOC

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1102. Object Oriented Design and Programming

3.00 credits

Prerequisites: CSE 1010 or CSE 1100.

Grading Basis: Graded

Principles of object oriented programming including classes, polymorphism, encapsulation and information hiding, and inheritance. Principles of object oriented design. Program debugging and documentation techniques. Implementation and simple analysis of algorithms for sorting and searching. Event-driven programming and the use of libraries for user interfaces. Introduction to computer history. Programming assignments.

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1401. Honors Core: Computational Molecular Biology

Also offered as: BME 1401, MCB 1401, PNB 1401

3.00 credits

Prerequisites: None.

Grading Basis: Honors Credit

Introduction to research in computational biology through lectures, computer lab exercises, and mentored research projects. Topics include gene and genome structure, gene regulation, mechanisms of inheritance, biological databases, sequence alignment, motif finding, human genetics, forensic genetics, stem cell development, comparative genomics, early evolution, and modeling complex systems. CA 3.

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1729. Introduction to Principles of Programming

3.00 credits

Prerequisites: CSE 1010

Grading Basis: Graded

Introduction to computer programming in a structured programming language including fundamental elements of program design and analysis. Data and functional abstraction as tools for constructing correct, efficient, and intelligible programs for a variety of common computing problems.

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2050. Data Structures and Object-Oriented Design

3.00 credits

Prerequisites: CSE 1729. Not open to students who have passed CSE 2100.

Grading Basis: Graded

Introduction to fundamental data structures and algorithms. The emphasis is on understanding how to efficiently implement different data structures, communicate clearly about design decisions, and understand the relationships among implementations, design decisions, and the four pillars of object-oriented programming: abstraction, encapsulation, inheritance, and polymorphism.

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2100. Data Structures and Introduction to Algorithms

3.00 credits

Prerequisites: CSE 1102. Students who have passed CSE 124 will receive only 2 credits for CSE 2100.

Grading Basis: Graded

Fundamental concepts of data structures and the algorithms that proceed from them. Implementation and use of linked lists, stacks, queues, trees, priority queues, heaps and graphs. Emphasis on recursion, abstract data types, object oriented design, and associated algorithms and complexity issues. Design using specifications and requirements. Basic computer organizations, including memory organizations and allocations issues. Programming assignments.

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2102. Introduction to Software Engineering

3.00 credits

Prerequisites: CSE 2050 or 2100, and 2500 which may be taken concurrently.

Grading Basis: Graded

Software engineering concepts including the software life cycle and other software-development process models. Specification techniques, design methodologies, performance analysis, and verification techniques. Team-oriented software design and development, and project management techniques.Use of appropriate design and debugging tools for a modern programming language. Homework and laboratory projects that emphasize design and the use/features of a modern programming language.

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2193. International Study

1.00 - 6.00 credits | May be repeated for a total of 6 credits.

Prerequisites: None.

Grading Basis: Graded

Special Computer Science and Engineering topics taken in an international study program. May be repeated for up to six credits with a change in topic.

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2300W. Digital Logic Design

4.00 credits

Prerequisites: CSE 1010 or 1100 or 1102 and secondary school physics or PHYS 1010 or 1501; ENGL 1010 or 1011 or 2011. Not open to students who have passed CSE 207 or 208.

Grading Basis: Graded

Representation of digital information. Analysis, design, and evaluation of combinational and sequential logic circuits. Debugging techniques. Use of computer facilities for circuit simulation, CAD, and report preparation and presentation. Introduction to structure and operation of digital computers. Design projects. Written reports with revisions are required for each project.

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2304. Computer Architecture

3.00 credits

Prerequisites: CSE 2050 or 2100, and 2500. This course and CSE 3666 may not be both taken for credit.

Grading Basis: Graded

Structure and operation of digital systems and computers. Fundamentals of digital logic. Machine organization, control and data paths, instruction sets, and addressing modes. Hardwired and microprogrammed control. Memory systems organization. Discussion of alternative architectures such as RISC, CICS, and various parallel architectures.

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2500. Introduction to Discrete Systems

3.00 credits

Prerequisites: CSE 1102 or 1729

Grading Basis: Graded

Mathematical methods for characterizing and analyzing discrete systems. Modern algebraic concepts, logic theory, set theory, grammars and formal languages, and graph theory. Application to the analysis of computer systems and computational structures.

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3000. Contemporary Issues in Computer Science and Engineering

1.00 credits

Prerequisites: CSE 3100 and either CSE 2304 or 3666. Open only to CSE and Computer Science majors.

Grading Basis: Graded

The global and societal impact of computer science and engineering decisions, professional and ethical responsibility.

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3002. Social, Ethical and Professional Issues in Computer Science and Engineering

3.00 credits

Prerequisites: CSE 3100. Open only to CSE and Computer Science majors.

Grading Basis: Graded

Study of areas in which computer science interacts with ethical issues, and issues of public policy. Topics of professional growth, development, and responsibility. Practice in the analysis of complex issues brought about by modern technology.

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3100. Systems Programming

3.00 credits

Prerequisites: CSE 2050 or 2100; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Introduction to system-level programming with an emphasis on C programming, process management and small scale concurrency with multi-threaded programming. Special attention will be devoted to proficiency with memory management and debugging facilities both in a sequential and parallel setting.

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3140. Cybersecurity Lab

2.00 credits

Prerequisites: CSE 2500; CSE 3100, which may be taken concurrently.

Grading Basis: Graded

Introduction to the design of secure systems. Explores issues that arise in multiple design phases to understand the limitations of the platform and the source of opportunities for attackers. Each unit will explore a system, its design, its vulnerabilities and how to exploit them, culminating with the creation, implementation and deployment of counter-measures to eliminate the vulnerabilities and nullify the threat.

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3150. C++ Essentials

3.00 credits

Prerequisites: CSE 3100, which may be taken concurrently; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Leverages existing knowledge of C and covers all the essential capabilities of the most recent C++ standard, illustrating their specificities as well as how the language can be used to model object-oriented implementation of a number of classic problems.

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3300. Computer Networks and Data Communication

3.00 credits

Prerequisites: CSE 2304 or 3666; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Introduction to computer networks and data communications. Network types, components and topology, protocol architecture, routing algorithms, and performance. Case studies including LAN and other architectures.

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3302. Digital Systems Design

Also offered as: ECE 3401

3.00 credits

Prerequisites: CSE 2300; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Design and evaluation of control and data structures for digital systems. Hardware design languages are used to describe and design alternative register transfer level architectures and control units with a micro-programming emphasis. Consideration of computer architecture, memories, digital interfacing timing and synchronization, and microprocessor systems.

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3350. Digital Design Laboratory

Also offered as: ECE 4401

3.00 credits

Prerequisites: CSE 3302 or ECE 3401, which may be taken concurrently; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Digital designing with PLA and FPGA, A/D and D/A conversion, floating point processing, ALU design, synchronous and asynchronous controllers, control path; bus master; bus slave; memory interface; I/O interface; logic circuits analysis, testing, and trouble shooting; PCB; design and manufacturing.

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3400. Introduction to Computer and Network Security

3.00 credits

Prerequisites: CSE 2500 and 3100; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Introduction to computer security and the design of secure computer systems. Introduction to applied cryptography, including basic elements of symmetric-key and public-key ciphers, authentication, and key exchange. Security issues in operating systems, software, databases, and networks. Attacks and countermeasures. Ethical, legal and business aspects.

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3500. Algorithms and Complexity

3.00 credits

Prerequisites: CSE 2050 or 2100; and 2500; open only to students in the School of Engineering, Cognitive Science majors, and declared Computer Science minors.

Grading Basis: Graded

Design and analysis of efficient computer algorihms. Algorithm design techniques, including divide-and-conquer, depth-first search, and greedy approaches. Worst-case and average-case analysis. Models of computation. NP-complete problems.

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3502. Theory of Computation

3.00 credits

Prerequisites: CSE 2050 or 2100; and 2500; open only to students in the School of Engineering, Cognitive Science majors, and declared Computer Science or Cognitive Science minors.

Grading Basis: Graded

Formal models of computation, such as finite state automata, pushdown automata, and Turing machines, and their corresponding elements in formal languages (regular, context-free, recursively enumerable). The complexity hierarchy. Church's thesis and undecidability. NP completeness. Theoretical basis of design and compiler construction.

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3504. Probabilistic Performance Analysis of Computer Systems

3.00 credits

Prerequisites: CSE 2050 or 2100; CSE 2500; STAT 3025, or 3345, or 3375, or MATH 3160; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Introduction to the probabilistic techniques which can be used to represent random processes in computer systems. Markov processes, generating functions and their application to performance analysis. Models which can be used to describe the probabilistic performance of digital systems.

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3666. Introduction to Computer Architecture

3.00 credits

Prerequisites: CSE 2050 or 2100; open only to students in the School of Engineering and declared Computer Science minors. Not open after passing CSE 4302 or 4901. CSE 3666 and CSE 2304 may not both be taken for credit.

Grading Basis: Graded

Structure and operation of digital systems and computers. Machine organization, control and data paths, instruction sets, and addressing modes. Integer and floating-point arithmetic, the memory hierarchy, the I/O subsystem. Assembly language and basic program organization, interrupts, I/O, and memory allocation.

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3793. Foreign Study

1.00 - 15.00 credits | May be repeated for credit.

Prerequisites: None.

Grading Basis: Graded

Consent of the department head or undergraduate coordinator required, normally before the student's departure. May count toward the major with consent of the advisor and either the department head or undergraduate coordinator.

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3800. Bioinformatics

Also offered as: BME 4800

3.00 credits

Prerequisites: BIOL 1107; CSE 1010 or 1100 or 1729; STAT 3025 or 3345; open only to Biomedical Engineering majors, Computer Science, and Computer Science and Engineering majors, others by instructor consent.

Grading Basis: Graded

Fundamental mathematical models and computational techniques in bioinformatics. Exact and approximate string matching, suffix trees, pairwise and multiple sequence alignment, Markov chains and hidden Markov models. Applications to sequence analysis, gene finding, database search, phylogenetic tree reconstruction.

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3802. Numerical Methods in Scientific Computation

Also offered as: ECE 3431

3.00 credits

Prerequisites: CSE 1010 or 1100 or 1729; MATH 2110 and 2410; MATH 2210, which may be taken concurrently; open only to students in the School of Engineering, Cognitive Science majors, and declared Computer Science and Cognitive Science minors.

Grading Basis: Graded

Introduction to the numerical algorithms fundamental to scientific computation. Equation solving, function approximation, integration, difference and differential equations, special computer techniques. Emphasis is placed on efficient use of computers to optimize speed and accuracy in numerical computations. Extensive digital computer usage for algorithm verification.

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3810. Computational Genomics

Also offered as: BME 3810

3.00 credits

Prerequisites: BIOL 1107; CSE 1010 or 1100 or 1729; STAT 3025 or 3345; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Computational methods for genomic data analysis. Topics covered include statistical modeling of biological sequences, probabilistic models of DNA and protein evolution, expectation maximization and Gibbs sampling algorithms, genomic sequence variation, and applications in genomics and genetic epidemiology.

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4095. Special Topics in Computer Science and Engineering

1.00 - 6.00 credits | May be repeated for credit.

Prerequisites: Prerequisites and recommended preparation vary. Open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Classroom course in special topics as announced in advance for each semester. With a change of content, this course may be repeated for credit.

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4099. Independent Study in Computer Science and Engineering

1.00 - 4.00 credits | May be repeated for credit.

Prerequisites: Consent of instructor and department head required; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Exposes the student to management principles and practices and the knowledge and skills necessary to develop an education project and to perform a research project.

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4100. Programming Language Translation

3.00 credits

Prerequisites: CSE 3502; CSE 2304 or 3666; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Introduction to the formal definition of programming language syntax and semantics. Design and realization of programming language processing systems such as assemblers, compilers, and interpreters.

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4102. Programming Languages

3.00 credits

Prerequisites: CSE 3502; open only to students in the School of Engineering and declared Computer Science minors

Grading Basis: Graded

The study of programming language features and programming paradigms. Data types, control, run-time environments, and semantics. Examples of procedural, functional, logical, and object-oriented programming. Features used for parallel and distributed processing. Classic and current programming languages and environments.

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4300. Operating Systems

3.00 credits

Prerequisites: CSE 3100; CSE 2304 or 3666; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Introduction to the theory, design, and implementation of software systems to support the management of computing resources. Topics include the synchronization of concurrent processes, memory management, processor management, scheduling, device management, file systems, and protection.

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4302. Computer Organization and Architecture

3.00 credits

Prerequisites: CSE 2300; CSE 2304 or 3666; open only to students in the School of Engineering and declared Computer Science minors. Cannot be taken after passing CSE 4901.

Grading Basis: Graded

Organization and architecture of modern computer systems. Emphasis is on alternatives and advances to the basic Von Neumann architecture: topics such as pipelining, memory hierarchy and management, multiprocessor and alternative architectures, reconfigurable hardware, and other techniques for performance enhancement.

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4400. Computer Security

3.00 credits

Prerequisites: CSE 3400; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Computer security and the design of secure systems. Cryptographic tools. Operating system security and access control. Network, software and database security. Randomness generation. Malicious software. Anonymity and privacy. Various attacks and countermeasures. Ethical, legal and business aspects.

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4402. Network Security

3.00 credits

Prerequisites: CSE 3300 and 3400; open only to students in the School of Engineering and declared Computer Science minors

Grading Basis: Graded

The principle and practices of how to provide secure communication between computer systems. Includes protection techniques at the physical, network, transport layers, and major approaches in Internet security. This class will cover how cryptography is applied in network security. Topics include: denial-of-service, DNS, BGP, IPSec, SSL/TLS, Authentication/Kerberos, VPNs, PKI, firewalls, intrusion detection/prevention systems, blockchains, and wireless security.

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4500. Parallel Systems

3.00 credits

Prerequisites: CSE 2304 or 3666; CSE 3500; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Introduction to parallel systems. Fundamentals of the theory of parallel systems. Models of parallel machines. Limitations of parallel systems. Paradigmatic algorithms. Vectorization. Arithmetic structures. Classical parallel architectures.

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4502. Big Data Analytics

3.00 credits

Prerequisites: CSE 3500; MATH 2210; open only to students in the School of Engineering and declared Computer Science and Analytics minors

Grading Basis: Graded

Focuses on basic concepts of data science and big data analytics. Different algorithmic techniques employed to process data will be discussed. Specific topics include: Parallel and out-of-core algorithms and data structures, rules mining, clustering algorithms, text mining, string algorithms, data reduction techniques, and learning algorithms. Applications such as motif search, k-locus association, k-mer counting, error correction, sequence assembly, genotype-phenotype correlations, etc. will be investigated.

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4701. Principles of Databases

3.00 credits

Prerequisites: CSE 3500; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Fundamentals of data base design and data indexing techniques. Hierarchical, network, and relational data models. Data base design theory. Query languages, their implementation and optimization. Data base security and concurrent data base operations.

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4702. Introduction to Modern Cryptography

3.00 credits

Prerequisites: CSE 3400 and 3500; STAT 3375Q or MATH 3160; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Covers the foundations of modern cryptography introducing basic topics such as one-way functions, pseudorandom generators, and computational hardness assumptions based on number theory. The course will cover fundamental cryptographic constructions such as hard-core predicates, secure symmetric encryption and message-authentication codes, and public-key cryptography.

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4703. Principles of Computer Graphics

3.00 credits

Prerequisites: CSE 3500; MATH 2110; MATH 2210 or 3210; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Representation of two- and three-dimensional data, internal representation of data structures, transformations, mapping of data to graphics screen, graphics hardware. Programming projects are assigned.

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4704. Computational Geometry

3.00 credits

Prerequisites: CSE 3500; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

An extension of sorting, searching, selection, and graph algorithms to geometric problems. This includes algorithms and data structures for constructing geometric objects, computing geometric properties, and answering geometric queries as well as techniques for the analysis of their correctness and complexity.

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4705. Artificial Intelligence

3.00 credits

Prerequisites: CSE 3500; open only to students in the School of Engineering, Cognitive Science majors, and declared Computer Science and Cognitive Science minors.

Grading Basis: Graded

Design and implementation of intelligent systems, in areas such as natural language processing, expert reasoning, planning, robotics, problem solving and learning. Students will design their own versions of "classic" AI problems, and complete one substantial design project.

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4709. Networked Embedded Systems

3.00 credits

Prerequisites: CSE 2304 or 3666; CSE 3300, or equivalent with instructor permission; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Introduction to the basic concepts, challenges, and methods for designing networked embedded systems. Examines related hardware, software, and system-level design. Hardware topics include various design alternatives (such as microcontrollers, digital signal processors (DSP), and field-programmable gate array (FPGA)) in resource-constrained environments. Software issues include operating systems, programming languages, program verification and analysis. System-level topics include autonomous wireless sensor network design, power and resource management, security and privacy.

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4900. Independent Design Laboratory

3.00 credits | May be repeated for credit.

Prerequisites: CSE 2102; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Experimental design project undertaken by the student by special arrangement with a faculty member of the Department of Computer Science and Engineering. May be taken twice for credit.

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4904. Computer Science Design Laboratory

3.00 credits | May be repeated for credit.

Prerequisites: Prerequisites and recommended preparation vary. Open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Design and implementation of complex software and/or hardware systems to solve problems posed by either student groups or the instructor. With a change of content this course may be repeated for credit.

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4905. Networking and Distributed Systems Laboratory

3.00 credits

Prerequisites: CSE 3300; CSE 2304 or 3666; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Software laboratory that explores selected issues in networking and distributed systems. Topics include: Berkeley sockets; TCP and IP; atm apis; latency and bandwidth; performance models; performance evaluation of different network fabrics; MPI; simple CORBA; performance characteristics of MPI, Java, RMI, and CORBA; implementation and evaluation of a client-server system.

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4939W. Computer Science and Engineering Design Project I

3.00 credits

Prerequisites: CSE 4100 or CSE 4102 or CSE 4300, which may be taken concurrently; ENGL 1010 or 1011 or 2011. Open only to students in the School of Engineering.

Grading Basis: Graded

first semester of the required two-semester major design experience. Working on a team, students will propose, design, produce, and evaluate a software and/or hardware system. This course will culminate in the delivery of the design, analysis, and initial working system to be used as a basis for CSE 4940, a formal public presentation, and written documentation. Oral and written progress reports are required.

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4940. Computer Science and Engineering Design Project II

3.00 credits

Prerequisites: CSE 4939W. Open only to CSE and Computer Science majors.

Grading Basis: Graded

The second semester of the required year long major design experience. The semester will be spent developing, testing, and evaluating the software and/or hardware system begun in CSE4939W. The project will culminate in the delivery of a working system and will include a formal public presentation, and written documentation. Oral and written progress reports are required.

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4950. Electrical and Computer Engineering Design I

Also offered as: ECE 4901

2.00 credits

Prerequisites: ECE 3201; C+ or better in ECE 2001; C+ or better in ECE 3101; open only to seniors in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Discussion of the design process; project statement, specification, project planning, scheduling and division of responsibility, ethics in engineering design, safety, environmental considerations, economic constraints, liability, manufacturing, and marketing. Projects are carried out using a team-based approach. Selection and analysis of a design project to be undertaken in CSE 4951/ECE 4902 is carried out. Written progress reports, a proposal, an interim project report, a final report, and oral presentations are required.

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4951. Electrical and Computer Engineering Design II

Also offered as: ECE 4902

3.00 credits

Prerequisites: ECE 4901; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Design of a device, circuit, system, process, or algorithm. Team solution to an engineering design problem as formulated in CSE 4950/ECE 4901, from first concepts through evaluation and documentation. Written progress reports, a final report, and oral presentations are required.

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4997. Senior Thesis in Computer Science and Engineering

3.00 credits

Prerequisites: Senior standing in Computer Science, Computer Science and Engineering, or Computer Engineering

Grading Basis: Graded

Students are expected to choose an advisor and seek approval of a thesis topic by the time of registration. Students will author a formal thesis based on independent research conducted under the advisor supervision. Thesis proposal and final thesis must follow the guidelines developed by the department.

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