Course Results

Results for: Department: Computer Science 22 courses
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  • CSE 101: Computer Science Principles

    Undergraduate 3 credits

    Prerequisite: Level 3 or higher on the mathematics placement examination

    SBC: TECH

    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.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 1 Extended6525130Kevin McDonnellOnline AsynchronousFlexible (Online)TBAWest (Main Campus)Open +
    ×

    Note: Summer 2021: This course is delivered asynchronously except for three live, proctored, online examinations on 6/11, 7/2 and 7/16. Students must have reliable Internet access, a webcam and microphone to take this course.

    Session 1 Extended65252L30Kevin McDonnellOnline AsynchronousFlexible (Online)TBAWest (Main Campus)Open +
    ×

    Note: Summer 2021: This course is delivered asynchronously except for three live, proctored, online examinations on 6/11, 7/2 and 7/16. Students must have reliable Internet access, a webcam and microphone to take this course.

    Session 2 Extended6568331Kevin McDonnellOnline AsynchronousFlexible (Online)TBAWest (Main Campus)Open +
    ×

    Note: Summer 2021: This course is delivered asynchronously except for three live, proctored, online examinations on 7/9, 7/30 and 8/13. Students must have reliable Internet access, a webcam and microphone to take this course.

    Session 2 Extended65684L31Kevin McDonnellOnline AsynchronousFlexible (Online)TBAWest (Main Campus)Open +
    ×

    Note: Summer 2021: This course is delivered asynchronously except for three live, proctored, online examinations on 7/9, 7/30 and 8/13. Students must have reliable Internet access, a webcam and microphone to take this course.

  • CSE 102: Intro to Web Dsgn & Programmg

    Undergraduate 3 credits

    Advisory Prerequisite: CSE 101 or basic computer skills

    SBC: TECH

    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.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 1 Extended6330230Pramod GanapathiOnline AsynchronousFlexible (Online)TBAWest (Main Campus)Open +
    ×

    Note: Offered as CSE 102 and ISE 102

  • CSE 114: Intro to Object-Oriented Prog

    Undergraduate 4 credits

    Prerequisite: Level 4 or higher on the math placement exam Advisory Prerequisite: CSE 101 or ISE 108

    SBC: TECH

    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.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 1 Extended6525030Paul FodorOnline SynchronousMon. & Weds.09:30-11:30AMWest (Main Campus)Open +
    ×

    Note: Summer 2021: Synchronous Online. Course requires three proctored, online examinations on 6/16, 6/30 and 7/14. To take this course, students must have access to a computer with a webcam, microphone and reliable Internet connection.

    Session 1 Extended65249L30Paul FodorOnline SynchronousMon. & Weds.11:45-01:00PMWest (Main Campus)Open +
    ×

    Note: Summer 2021: Synchronous Online. Course requires three proctored, online examinations on 6/16, 6/30 and 7/14. To take this course, students must have access to a computer with a webcam, microphone and reliable Internet connection.

    Session 2 Extended6535631Paul FodorOnline SynchronousMon. & Weds.01:30-03:30PMWest (Main Campus)Open +
    ×

    Note: Summer 2021: Synchronous Online. Course requires three proctored, online examinations on 7/14, 7/28 and 8/11. To take this course, students must have access to a computer with a webcam, microphone and reliable Internet connection.

    Session 2 Extended65355L31Paul FodorOnline SynchronousMon. & Weds.03:45-05:00PMWest (Main Campus)Open +
    ×

    Note: Summer 2021: Synchronous Online. Course requires three proctored, online examinations on 7/14, 7/28 and 8/11. To take this course, students must have access to a computer with a webcam, microphone and reliable Internet connection.

  • CSE 214: Data Structures

    Undergraduate 4 credits

    Prerequisite: C or higher in CSE 114

    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.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 26447430Ahmad EsmailiOnline SynchronousMon. & Weds.09:30-12:45PMWest (Main Campus)Open +
    ×

    Note: Synchronous Online

    Session 264473R30TBAOnline SynchronousMon. & Weds.01:00-02:10PMWest (Main Campus)Open +
    ×

    Note: Synchronous Online

  • CSE 215: Foundations of Comp Science

    Undergraduate 4 credits

    Prerequisite: AMS 151 or MAT 125 or MAT 131

    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.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 1 Extended6444030Pramod GanapathiOnline AsynchronousFlexible (Online)TBAWest (Main Campus)Open +
    ×

    Note: Asynchronous Online

    Session 1 Extended64441R30Pramod GanapathiOnline AsynchronousFlexible (Online)TBAWest (Main Campus)Open +
    ×

    Note: Asynchronous Online

  • CSE 216: Programming Abstractions

    Undergraduate 4 credits

    Prerequisites: C or higher in CSE 214; CSE major

    Intermediate-level programming concepts and paradigms, including functional programming, object-orientation, basics of type systems, memory management, program and data abstractions, parameter passing, modularity, version control, and parallel programming. Includes weekly recitations, which provide students with experience in the practice of programming in a variety of high-level languages.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 16328330Richard McKennaOnline SynchronousTues. & Thurs.09:30-11:45AMWest (Main Campus)Open +
    ×

    Note: Synchronous Online

    Session 163284R30Richard McKennaOnline SynchronousTues. & Thurs.12:00-12:55PMWest (Main Campus)Open +
    ×

    Note: Synchronous Online

  • CSE 300: Technical Communications

    Undergraduate 3 credits

    Prerequisites: WRT 102, CSE or ISE major, U3 or U4 standing

    SBC: SPK; WRTD

    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.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 16328530Richard McKennaOnline SynchronousMon. & Weds.09:30-12:55PMWest (Main Campus)Open +
    ×

    Note: Offered as CSE 300 and ISE 300

  • CSE 310: Computer Networks

    Undergraduate 3 credits

    Prerequisites: C or higher: CSE 214 or 260; CSE 220 or ISE 218; CSE major or ISE major. Advisory Pre- or Corequisite: AMS 310

    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.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 2 Extended6579101Christopher KaneOnline SynchronousTues. & Thurs.01:00-03:30PMWest (Main Campus)Open
    ×

  • CSE 312: Legal Issues in Info Systems

    Undergraduate 3 credits

    Prerequisites: CSE or ISE major; U3 or U4 standing; one D.E.C. E or SNW course

    SBC: CER; ESI; STAS

    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 way we work, play, and interact with other people. These changes have created a flood of new social and legal issues that demand critical examination. For example, technologies such as Gmail, Facebook, MySpace, along with music sharing sites and wikis create new social, ethical, and legal issues. This course is offered as both CSE 312 and ISE 312.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 26569831Ali RazaOnline SynchronousMon., Weds., Thurs.06:00-08:15PMWest (Main Campus)Open +
    ×

    Note: Offered as CSE 312 and ISE 312

  • CSE 351: Introduction to Data Science

    Undergraduate 3 credits

    Prerequisites: CSE 214 or CSE 260; AMS 310; CSE major

    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.

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 16327430Praveen TripathiOnline AsynchronousFlexible (Online)TBAWest (Main Campus)Open +
    ×

    Note: This course is offered asynchronously online. Course requires two proctored, online synchronous examinations on 6/14/21 and 7/1/21. Students must have reliable internet access, a webcam and a microphone to take this test.

  • CSE 390: Topics in Computer Science

    Undergraduate 3 credits

    Prerequisite: CSE 214 or CSE 260; CSE or ISE Major

    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.

    Session Class # Section Topic Instructor Mode Days Time Campus Status Notes
    Session 16329330Mobile App Dev - Ios & Android Ahmad EsmailiOnline SynchronousMon. & Weds.09:30-12:55PMWest (Main Campus)Open +
    ×

    Note: Synchronous Online CSE 214 is strongly recommended

  • CSE 521: Data Mining Concepts and Techn

    Graduate 3 credits

    Data Mining is a new, promising and flourishing interdisciplinary field drawing work from areas including database technology, artificial intelligence, machine learning, pattern recognition, high-performance computing, and data visualization. It focuses on issues relating to the feasibility, usefulness, efficiency and scalability of techniques for automated extraction of patterns representing knowledge implicitly stored in large databases, warehouses, and other massive information repositories. The course gives a broad, yet in-depth overview of the field of data mining and presents one or two techniques in rigorous detail. Prerequisite: Database course

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 16568201Anita WasilewskaOnline SynchronousTues. & Thurs.01:30-04:55PMWest (Main Campus)Open +
    ×

    Note: Synchronous Online

  • CSE 656: Seminar in Computer Vision

    Graduate 1 credit

    Current readings in computer vision and image understanding. Prerequisite: Limited to CSE graduate students; others need instructor consent Fall, May be repeated for credit

    Session Class # Section Instructor Mode Days Time Campus Status Notes
    Session 266143S30Dimitrios SamarasOnline AsynchronousFlexible (Online)TBAWest (Main Campus)Open
    ×

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