Undergraduate Course Directory

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Courses by Subject Area

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.

1010. Introduction to Computing for Engineers

3.00 credits

Prerequisites: May not be taken out of sequence after passing CSE 1729 or 2050.

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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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 1010 or 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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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 count toward the major with consent of the advisor and approved plan of study.

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2301. Principles and Practice of Digital Logic Design

4.00 credits

Prerequisites: CSE 1010 and high school physics or PHYS 1010Q or 1201Q or 1401Q or 1501Q or 1601Q. Not open for credit to students who have passed CSE 2300W.

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; open only to students in the School of Engineering and declared Computer Science minors. Not open for credit after passing CSE 3666.

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 1010 or 1729.

Grading Basis: Graded

Introduction to formal mathematical thinking including discrete systems and proofs. Discrete system topics include logic, set theory, basic number theory, basic combinatorics, functions, relations, sequences, sums, products, recurrence, and countability. Proof topics include direct proof, including proof by cases and induction, and indirect proof, including proof by contrapositive and contradiction.

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2550. Blockchain Technology I

3.00 credits

Prerequisites: CSE 2050. Recommended preparation: CSE 3140.

Grading Basis: Graded

Introduction to the basics of blockchain technology. The course will cover the semantics of blockchains, cryptocurrencies, types of blockchains and consensus algorithms, wallet operation, privacy, threat modeling and security aspects of blockchains and cryptocurrencies, the paradigm of decentralized internet, and some ethical and environmental concerns from a technical lens.

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2600. Introduction to Data Science and Engineering

3.00 credits

Prerequisites: CSE 2050. Not open for credit to students who have passed CSE 4095 when offered as “Introduction to Data Science and Engineering.”

Grading Basis: Graded

Introduction to a broad selection of challenges and methodologies in working with big data. Topics to be covered include fundamental data science lifecycle topics such as data acquisition, management, integration, visualization, modeling, analysis, prediction, as well as data security, data privacy and ethics.

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3000. Contemporary Issues in Computer Science and Engineering

1.00 credits

Prerequisites: CSE 3140; open only to Computer Science and Engineering, Computer Science, and Data Science and Engineering majors.

Grading Basis: Graded

Information management, the global and societal impact of computer science and engineering decisions, professional and ethical responsibility.

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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 2050.

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; 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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3160. Functional Programming Fundamentals

3.00 credits

Prerequisites: CSE 3100.

Grading Basis: Graded

The course covers fundamental techniques in functional programming. While the primary focus is purely functional programming, side effects are explored for various purposes such as modeling I/O and rendering stateful objects. The course introduces elementary types, control flow, environments and scoping, closures, and other structural features of typical functional programs. The course may cover additional topics such as typed functional programming languages, type inference, continuation-passing, streams, and monads.

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3193. International Study

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

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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3200. Mobile Application Development

3.00 credits

Prerequisites: CSE 2102 and 3100; open only to students in the School of Engineering and declared Computer Science minors; typically only offered to Stamford Campus students.

Grading Basis: Graded

Introduction to mobile application development. Its focus is on Android native development. Android Development is done using Java. The central objective is to develop students’ problem-solving skills for mobile app development. This course is typically only offered to Stamford Campus students.

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3250. Introduction to Cloud Computing

3.00 credits

Prerequisites: CSE 2050; open only to students in the College of Engineering or declared Computer Science minors. Recommended preparation: CSE 2102.

Grading Basis: Graded

Introduction to the design and implementation of applications that take full advantage of the cloud-delivery model. Lectures will be a mix between topics, discussion, and in-class demonstrations. Weekly hands-on coding assignments will be given utilizing a modern cloud platform. Coding will be done using modern programming languages, such as Python, Javascript, and GOLang.

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3300. Computer Networks and Data Communication

3.00 credits

Prerequisites: CSE 3100; 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 2300W or 2301; 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 3140; 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 algorithms. Algorithm design techniques, including divide-and-conquer, dynamic programming, and greedy approaches. Graph algorithms and advanced data structures. Worst-case and average-case analysis, reductions, and NP-completeness.

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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 3025Q or 3345Q or 3375Q, 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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3550. Blockchain Technology

3.00 credits

Prerequisites: CSE 3400; open only to students in the College of Engineering or declared Computer Science minors. Recommended preparation: CSE 3140. Not open for credit to students who have passed CSE 2550.

Grading Basis: Graded

Introduction to the basics of blockchain technology from a technical/systems security lens. The course will cover the semantics of blockchains, popular examples of cryptocurrencies, types of blockchains and consensus algorithms, threat modeling of blockchain-based systems, formal security notions of consensus and ledgers, privacy and anonymity of payments and smart contracts, the paradigm of blockchain-based distributed services, and some ethical issues with respect to deployments in practice.

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3666. Introduction to Computer Architecture

3.00 credits

Prerequisites: CSE 2050 or 2100, and CSE 2301 or 2500; open only to students in the School of Engineering and declared Computer Science minors. Not open for credit after passing CSE 2304. May not be taken out of sequence after passing 4302.

Grading Basis: Graded

Structure and operation of digital systems and computers. Instruction sets and assembly language. Integer and floating-point arithmetic. Machine organization, control and data paths, pipeline, and the memory hierarchy.

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3800. Bioinformatics

Also offered as: BME 4800

3.00 credits

Prerequisites: BIOL 1107; CSE 1729 or CSE 2050; STAT 3025Q or 3345Q or 3375Q or MATH 3160; open only to students in the School of Engineering and declared Computer Science minors, 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 1729 or 2050; MATH 2110Q and 2410Q; MATH 2210Q, 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 1729 or CSE 2050; STAT 3025Q or 3345Q or 3375Q or MATH 3160; 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.

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

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 3100; CSE 2304 or 3666; and CSE 3400, which may be taken concurrently; 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, both of which may be taken concurrently; 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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4412. Introduction to Quantum Computing, Cryptography, and Networking

3.00 credits

Prerequisites: CSE 3500 or 5050; MATH 2210Q.

Grading Basis: Graded

Fundamentals of quantum computing (qubits, superposition, measurements, quantum circuits) including basic quantum algorithms and quantum complexity. Quantum cryptography and networking, including quantum key distribution protocols and their security proofs, and the design and use of large-scale quantum networks (e.g., quantum repeaters). Hands-on programming of the IBM quantum computer.

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4502. Big Data Analytics

3.00 credits

Prerequisites: CSE 3500; MATH 2210Q; 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; and STAT 3025Q or 3345Q or 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 2110Q; MATH 2210Q 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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4820. Introduction to Machine Learning

3.00 credits

Prerequisites: MATH 2210Q; STAT 3025Q or 3345Q or 3375Q or MATH 3160; open only to students in the School of Engineering and declared Computer Science minors; juniors or higher. Recommended preparation: CSE 3500.

Grading Basis: Graded

An introduction to the basic tools and techniques of machine learning, including models for both supervised and unsupervised learning, related optimization techniques, and methods for model validation. Topics include linear and logistic regression, SVM classification and regression, kernels, regularization, clustering, and on-line algorithms for regret minimization.

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4830. Computer Vision and Machine Learning for Image Analysis

3.00 credits

Prerequisites: MATH 2210Q; STAT 3025Q or 3345Q or 3375Q or MATH 3160; open only to students in the School of Engineering and declared Computer Science minors; juniors or higher. Recommended preparation: CSE 3500 and 4820.

Grading Basis: Graded

Computer vision, image processing, machine learning and deep learning techniques and their application to digital photography and medical image analysis. Students will gain theoretical and practical skills in 2D and 3D image classification, segmentation, reconstruction and registration using computer vision and machine learning.

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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.

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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.

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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 3500; ENGL 1007 or 1010 or 1011; open to students with a minimum of 70 earned credits, with a minimum of 24 earned CSE credits; open to Computer Science and Engineering, Computer Science, Data Science and Engineering, and Robotics Engineering majors.

Grading Basis: Graded

The first semester of the required two-semester major design experience. Teams of students propose, design, produce, and evaluate a software and/or hardware system. Culminates in the delivery of the design, analysis, and initial working system, to be used as a basis for CSE 4940, 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 Computer Science and Engineering, Computer Science, Data Science and Engineering, and Robotics Engineering 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 3101; ECE 3201; 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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