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Results for: Department: Computer Science 18 courses
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CSE 101: Computer Science Principles
Undergraduate 3 credits
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
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.
Session Class # Section Instructor Mode Days Time Campus Status Notes Session 1 Extended 60701 30 Kevin McDonnell Online Asynchronous Flexible (Online) TBA West (Main Campus) Open ×
Session 1 Extended 60702 L30 Kevin McDonnell Online Asynchronous Flexible (Online) TBA West (Main Campus) Open ×
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CSE 114: Intro to Object-Oriented Prog
Undergraduate 4 credits
Prerequisite: Level 5 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 Extended 60700 30 Ahmad Esmaili Online Synchronous Mon. & Weds. 01:30-04:00PM West (Main Campus) Open ×
Session 1 Extended 60699 L30 Ahmad Esmaili Online Synchronous Mon. & Weds. 09:30-12:00PM West (Main Campus) Open ×
Session 2 Extended 61670 31 Praveen Tripathi Online Asynchronous Flexible (Online) TBA West (Main Campus) Open ×
Session 2 Extended 61669 L31 Praveen Tripathi Online Asynchronous Flexible (Online) TBA West (Main Campus) Open ×
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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 2 61191 30 Ahmad Esmaili Online Synchronous Mon. & Weds. 09:30-12:45PM West (Main Campus) Open ×
Session 2 61190 R30 TBA Online Synchronous Mon. & Weds. 01:00-02:10PM West (Main Campus) Open ×
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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 60692 30 Richard McKenna Online Synchronous Mon. & Weds. 09:30-12:30PM West (Main Campus) Open + ×
Note: Synchronous Online
Session 1 60693 R30 Richard McKenna Online Synchronous Mon. & Weds. 12:30-01:25PM West (Main Campus) Open + ×
Note: Synchronous Online
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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, 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 1 61145 30 Richard McKenna Online Synchronous Tues. & Thurs. 09:00-10:20AM West (Main Campus) Open + ×
Note: Synchronous Online
Session 1 61146 R30 Richard McKenna Online Synchronous Tues. & Thurs. 12:25-01:25PM West (Main Campus) Open + ×
Note: Synchronous Online
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CSE 220: Systems Fundamentals I
Undergraduate 4 credits
Prerequisites: C or higher in CSE 214 or co-requisite CSE 260 and CSE major
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 computer architecture and organization topics, including von Neumann architecture, the memory hierarchy, and basics of pipelining.
Session Class # Section Instructor Mode Days Time Campus Status Notes Session 2 65466 01 Abid Malik Online Synchronous Tues. & Thurs. 09:00-12:20PM West (Main Campus) Open ×
Session 2 65467 R01 Abid Malik Online Synchronous Tues. & Thurs. 12:30-01:25PM West (Main Campus) Open ×
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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 Extended 65335 30 Jalaa Hoblos Online Asynchronous Flexible (Online) TBA West (Main Campus) Open ×
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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 1 61138 30 Praveen Tripathi Online Asynchronous Flexible (Online) TBA West (Main Campus) Open ×
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CSE 581: Comp Sci Fundamentals: Theory
Graduate 3 credits
The course consists of two parts. The first part covers discrete mathematics -- a division of mathematics that is extensively used in computer science. The topics covered include: logic (propositional logic and predicate logic), proof techniques, sequences (mathematical induction and recursion), and functions. The second part covers the theory of computation -- a division of theoretical computer science that deals with what can be computed and what cannot be computed on a computer. The topics covered include: computational models (FA, PDA, and Turing machines), grammars accepted by different computational models (regular grammars, context-free grammars, and unrestricted grammars), languages accepted by different computational models (regular languages, context-free language, and Turing-acceptable languages), Turing-complete systems, and algorithmically unsolvable problems.
Session Class # Section Instructor Mode Days Time Campus Status Notes SPD Online 65340 30 Pramod Ganapathi Online Synchronous Mon. & Weds. 11:00-01:30PM West (Main Campus) Open ×
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CSE 582: CS Fund: Data Structures & Alg
Graduate 3 credits
The course consists of two parts. The first part covers data structures to efficiently store, organize, modify, and access data. Topics include: arrays, stacks, queues, linked lists, trees, sets, hash maps, priority queues, and graphs. The second part covers the design and analysis of algorithms for solving computer science problems. Topics include: algorithm analysis, exhaustive search algorithms, divide-and-conquer algorithms, greedy algorithms, and dynamic programming algorithms.
Session Class # Section Instructor Mode Days Time Campus Status Notes SPD Online 65333 30 Pramod Ganapathi Online Synchronous Mon. & Weds. 09:00-11:30AM West (Main Campus) Open ×
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