Computer Science and Engineering (CSCE)

CSCE100
Introduction to Informatics

Prerequisites: Placement in to MATH 101 or higher

This course does not count towards a major or minor in Computer Science or a major in Computer Engineering or a major in Software Engineering.

Description: Introduction to the use of data-centric and information technologies-and issues and challenges-in today's applications in sciences, engineering, the humanities, and the arts. Exposure to computational thinking and programming, statistical thinking and research design, data analysis and database techniques, and visualization and creative thinking.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE101
Fundamentals of Computer Science

A course in the science of computation suitable for prospective CSCE majors and for non-CSCE majors who desire a deeper understanding of computers and the work of computer scientists. This course may be used to satisfy a technical elective for Computer Science and Computer Engineering majors if taken at UNL prior to CSCE 155, CSCE 156, CSCE 310 and CSCE 361, or for Software Engineering majors, if taken at UNL prior to SOFT 160, SOFT 161, SOFT 260 and SOFT 261.

Description: Introduction to problem solving with computers. Problem analysis and specification, algorithm development, program design, and implementation in a high-level programming environment. Hardware, software, software engineering, networks, and impacts of computing on society.

This course is a prerequisite for: CIVE 201; CIVE 202; CSCE 101L

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$35
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:3

ACE:ACE 3 Math/Stat/Reasoning

CSCE101L
Fundamentals of Computing Laboratory

Prerequisites: CSCE 101 or parallel.

This course does not count towards a major or minor in Computer Science or a major in Computer Engineering or a major in Software Engineering.

Description: A variety of computer oriented exercises using many software tools is presented which supplement and are coordinated with the topics taught in CSCE 101. Students are exposed to programming, operating systems, simulation software, spreadsheets, database software, the Internet, etc. Applications software introduced in the context of tools to explore the computer science topics and as alternatives to traditional programming languages. Emphasis on learning by experiment, with a goal of developing problem solving skills. A major component is the study of a programming language-the choice of which may vary by course section.

Course details
Credit Hours:1
Max credits per semester:1
Max credits per degree:1
Grading Option:Graded with Option
Course and Laboratory Fee:$10

Credit Hours:1

ACE:

CSCE120
Learning to Code

Prerequisites: Placement in to MATH 101 or higher

This course does not count towards a major or minor in Computer Science or a major in Computer Engineering or a major in Software Engineering. First course in a sequence for the minor in Software Development.

Description: Introduction to coding in the context of current web development technologies (JavaScript, HTML, CSS). Basic coding skills and an introduction to computing with an emphasis on processing data: data formatting and structure, data manipulation, data presentation and the basics of an interactive program.

This course is a prerequisite for: CSCE 220; CSCE 320

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE155A
Computer Science I

Prerequisites: MATH 102 or a Math Placement Test score for MATH 103 or higher.

Credit may be earned in only one CSCE 155 course. Recommended for students majoring in computer science or computer engineering.

Description: Introduction to problem solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$35
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:3

ACE:ACE 3 Math/Stat/Reasoning

CSCE155E
Computer Science I: Systems Engineering FocusCrosslisted with ECEN 155E

Prerequisites: MATH 102 or a Math Placement Test score for MATH 103 or higher.

Credit may be earned in only one CSCE 155 course. Recommended for students interested in systems engineering, such as operating systems, mobile computing, and embedded devices.

Description: Introduction to problem solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$10
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:3

ACE:ACE 3 Math/Stat/Reasoning

CSCE155H
Honors: Computer Science I

Prerequisites: Good standing in UNL Honors Program; MATH 102 or a Math Placement Test score for MATH 103 or higher.

Covers the same topics as CSCE 155A, but in greater depth.

Description: Introduction to problem solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$35
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:3

ACE:ACE 3 Math/Stat/Reasoning

CSCE155N
Computer Science I: Engineering and Science Focus

Prerequisites: MATH 102 or a Math Placement Test score for MATH 103 or higher.

Recommended for students interested in numerical and graphical applications in engineering and science, such as applied physics, working with time-sequence data, and matrix applications.

Description: Introduction to problem solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$35
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:3

ACE:ACE 3 Math/Stat/Reasoning

CSCE155T
Computer Science I: Informatics Focus

Prerequisites: MATH 102 or a Math Placement Test score for MATH 103 or higher.

Credit may be earned in only one CSCE 155 course. Recommended for students interested in data and information processing, such as library and database applications, online commerce, and bioinformatics.

Description: Introduction to computers and problem-solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:3

ACE:ACE 3 Math/Stat/Reasoning

CSCE156
Computer Science IICrosslisted with ECEN 156

Prerequisites: A grade of "P" or "C" or better in CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, or CSCE 155T; coreq: MATH 106.

Laboratories supplement the lecture material and give an opportunity to practice concepts.

Description: Data structures, including linked lists, stacks, queues, and trees; algorithms, including searching, sorting, and recursion; programming language topics, including object-oriented programming; pointers, references, and memory management; design and implementation of a multilayer application with SQL database.

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Grading Option:Graded with Option
Offered:FALL/SPR
Course and Laboratory Fee:$35

Credit Hours:4

ACE:

CSCE156H
Honors: Computer Science II

Prerequisites: Good standing UNL Honors Program. A grade of "P" or "C" or better in CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, or CSCE 155T; Coreq: MATH 106.

Covers the same topics as CSCE 156, but in greater depth. Laboratories supplement the lecture material and give an opportunity to practice concepts.

Description: Data structures, including linked lists, stacks, queues, and trees; algorithms, including searching, sorting, and recursion; programming language topics, including object-oriented programming; pointers, references, and memory management; design and implementation of a multilayer application with SQL database.

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Grading Option:Graded
Course and Laboratory Fee:$35

Credit Hours:4

ACE:

CSCE163H
Honors: Innovation Processes and Software Engineering FundamentalsCrosslisted with RAIK 163H

Prerequisites: Good standing in the University Honors Program; admission to the Jeffrey S. Raikes School of Computer Science and Management.

Description: Introduction to innovation processes for interdisciplinary and team-oriented problem solving of software engineering, business development, and industrial design problems.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Offered:FALL

Credit Hours:3

ACE:

CSCE164
Introduction to Computer EngineeringCrosslisted with ECEN 164

Project-based introduction to the computer engineering field.

Description: Introduction to basic concepts and skills needed in computer engineering. Practical application of basic computing concepts through an introduction to programming an embedded system.

Course details
Credit Hours:2
Max credits per semester:2
Max credits per degree:2
Grading Option:Graded with Option
Offered:SPRING

Credit Hours:2

ACE:

CSCE183H
Honors: Computer Problem Solving EssentialsCrosslisted with RAIK 183H

Prerequisites: Good standing in the University Honors Program; admission to the Jeffrey S. Raikes School of Computer Science and Management.

Description: Introduction to problem solving with computers. Problem analysis and specification, algorithm development, program design, and implementation. JAVA in a Windows platform.

This course is a prerequisite for: CSCE 235; CSCE 235H; CSCE 352; ECON 215; RAIK 184H, CSCE 184H

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Grading Option:Graded
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:4

ACE:ACE 3 Math/Stat/Reasoning

CSCE184H
Honors: Software Development EssentialsCrosslisted with RAIK 184H

Prerequisites: Good standing in the University Honors Program; admission to the Jeffrey S. Raikes School of Computer Science and Management; and CSCE/RAIK 183H.

Description: Problem solving with computers. Problem analysis and specification, data structures, relational databases, algorithm development, and program design and implementation. Discrete mathematics topics, propositional and predicate logic, sets, relations, functions, and proof techniques. Software Development Principles.

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Grading Option:Graded

Credit Hours:4

ACE:

CSCE191
Special Topics in Computer Science

Prerequisites: Permission.

Will not count towards a major or minor in computer science and computer engineering. Topics will vary.

Description: Aspects of computers and computing at the freshman level for non-computer science and computer engineering majors and/or minors.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option
Course and Laboratory Fee:$10

Credit Hours:1-3

ACE:

CSCE192
Special Topics in Computer Science

Prerequisites: Permission.

Description: Aspects of computers and computing for computer science and computer engineering majors and minors. Topics vary.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option

Credit Hours:1-3

ACE:

CSCE194
Independent Study in Computing

Prerequisites: Freshmen standing; permission of the instructor.

Description: Independent study of computer science topics performed under the guidance of a member of the faculty in the Department of Computer Science and Engineering.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:1-3

ACE:

CSCE220
Software Development for Smart-Mobile Systems

Prerequisites: CSCE 120

This course does not count towards a major or minor in Computer Science or a major in Computer Engineering or a major in Software Engineering. Second course in a sequence for the minor in Software Development.

Description: Practical experience on building larger scale applications and familiarity with the tools, environments (e.g., Android or IoS), and requirements to develop software for current smart-mobile devices such as phones and tablets.

This course is a prerequisite for: CSCE 320; CSCE 453H, RAIK 453H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE230
Computer Organization

Prerequisites: A grade of 'P' or 'C' or better in CSCE 235, CSCE 235H, or RAIK 184H.

Laboratories supplement the lecture material and give an opportunity to practice concepts.

Description: Introduction to organization and structure of computer systems. Boolean logic, digital arithmetic, processor organization, machine language programming, input/output, memory organization, system support software, communication, and ethics.

This course is a prerequisite for: CSCE 336; CSCE 351; ECEN 220; ECEN 370, CSCE 335

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:4

ACE:

CSCE231
Computer Systems Engineering

Prerequisites: Grade of "P" or "C" or better in CSCE 235, CSCE 235H or RAIK 184H.

Description: Introduction to organization, structure, and applications of computer systems. Boolean Logic, Digital Arithmetic, Processor Organization, C Programming, Machine Language Programming, Input/Output, Memory Organization and Management, Building Embedded System Application.

This course is a prerequisite for: CSCE 336; CSCE 351

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:4

ACE:

CSCE235
Introduction to Discrete Structures

Prerequisites: A grade of 'P' or 'C' or better in CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, CSCE 155T, SOFT 160, SOFT 160H or RAIK 183H; and MATH 106.

Theoretical concepts with programming assignments.

Description: Survey of elementary discrete mathematics. Elementary graph and tree theories, set theory, relations and functions, propositional and predicate logic, methods of proof, induction, recurrence relations, principles of counting, elementary combinatorics, and asymptotic notations.

This course is a prerequisite for: CSCE 230; CSCE 231; CSCE 310; CSCE 310H; SOFT 260

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE235H
Honors: Introduction to Discrete Structures

Prerequisites: A grade of 'P' or 'C' or better in CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, CSCE 155T, SOFT 160, SOFT 160H or RAIK 183H; and MATH 106.

Theoretical concepts with programming assignments. Covers the same topics as CSCE 235, but in greater depth.

Description: Survey of elementary discrete mathematics. Elementary graph and tree theories, set theory, relations and functions, propositional and predicate logic, methods of proof, induction, recurrence relations, principles of counting, elementary combinatorics, and asymptotic notations.

This course is a prerequisite for: CSCE 230; CSCE 231; CSCE 310; SOFT 260

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE251
Unix Programming Environment

Familiarity with at least one high-level programming language.

Description: Introduction to the Unix operating system. Unix file system. Unix tools and utilities. Shell programming.

Course details
Credit Hours:1
Max credits per semester:1
Max credits per degree:1
Grading Option:Graded with Option
Course and Laboratory Fee:$25

Credit Hours:1

ACE:

CSCE291
Special Topics in Computer Science

Prerequisites: Permission.

Will not count towards a major or minor in computer science and computer engineering. Topics vary.

Description: Aspects of computers and computing for non-computer science and computer engineering majors and/or minors.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option

Credit Hours:1-3

ACE:

CSCE292
Special Topics in Computer Science

Prerequisites: Permission.

Description: Aspects of computers and computing for computer science and computer engineering majors and minors. Topics vary.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option

Credit Hours:1-3

ACE:

CSCE294
Independent Study in Computing

Prerequisites: Sophomore standing; permission of the instructor.

Description: Independent study of computer science topics performed under the guidance of a member of the faculty in the Department of Computer Science and Engineering.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:1-3

ACE:

CSCE310
Data Structures and Algorithms

Prerequisites: Grades of "Pass" or "C" or better in CSCE 156/156H or SOFT 161 and CSCE 235/235H.

Theoretical concepts with programming assignments.

Description: A review of algorithm analysis, asymptotic notation, and solving recurrence relations. Advanced data structures and their associated algorithms, heaps, priority queues, hash tables, trees, binary search trees, and graphs. Algorithmic techniques, divide and conquer, transform and conquer, space-time trade-offs, greedy algorithms, dynamic programming, randomization, and distributed algorithms. Introduction to computability and NP-completeness.

This course is a prerequisite for: CSCE 351; CSCE 360; CSCE 361, CSCE 361H; CSCE 493

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE310H
Honors: Data Structures and Algorithms

Prerequisites: Good Standing in UNL Honors Program or by invitation; grades of 'P' or 'C' or better in CSCE 156/156H or SOFT 161 and CSCE 235/235H.

Description: CSCE 310H covers the same topics as CSCE 310, but in greater depth. For course description, see CSCE 310.

This course is a prerequisite for: CSCE 351; CSCE 360; CSCE 493

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE311
Data Structures and Algorithms for Informatics

Prerequisites: Grade of "Pass" or "C" or better in CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, CSCE 155T, CSCE 320, or SOFT 160.

CSE majors must take CSCE 310. Students may not receive credit for both CSCE 310 and 311.

Description: An introduction to algorithms and data structures for informatics. Foundational coverage of algorithms includes both problems (such as indexing, searching, sorting, and pattern matching) and methods (such as greedy, divide-and-conquer, and dynamic programming). Foundational coverage of data structures includes lists, tables, relational databases, regular expressions, trees, graphs, and multidimensional arrays. The topics will be studied in the context of informatics applications.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE320
Data Analysis

Prerequisites: A grade of "P" or "C" or better in CSCE 120 or CSCE 220.

This course does not count towards a major or minor in Computer Science or a major in Computer Engineering or a major in Software Engineering. Third course in a sequence for the minor in Software Development.

Description: Practical experience on how to model data through existing techniques including object-oriented and relational models. These models can then be used at the center of systems to promote efficient and effective data processing and analysis.

This course is a prerequisite for: CSCE 311; CSCE 493

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE322
Programming Language Concepts

Prerequisites: A grade of "P" or "C" or better in CSCE 156, CSCE 156H, CSCE 311, SOFT 161, SOFT 161H, or RAIK 184H.

Description: List-processing, string-processing, and other types of high-level programming languages. Fundamental concepts of data types, control structures, operations, and programming environments of various programming languages. Analysis, formal specification, and comparison of language features.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$40

Credit Hours:3

ACE:

CSCE322H
Honors: Programming Language Concepts

Prerequisites: Good Standing in UNL Honors Program or by invitation; A grade of "P" or "C" or better in CSCE 156, CSCE 156H, CSCE 311, SOFT 161, SOFT 161H, or RAIK 184H.

Description: List-processing, string-processing, and other types of high-level programming languages. Fundamental concepts of data types, control structures, operations, and programming environments of various programming languages. Analysis, formal specification, and comparison of language features.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL/SPR

Credit Hours:3

ACE:

CSCE335
Digital Logic DesignCrosslisted with ECEN 370

Prerequisites: ECEN 103 or CSCE 230

Description: Combinational and sequential logic circuits. MSI chips, programmable logic devices (PAL, ROM, PLA) used to design combinational and sequential circuits. CAD tools. LSI and PLD components and their use. Hardware design experience.

This course is a prerequisite for: ECEN 307; ECEN 494

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded

Credit Hours:3

ACE:

CSCE336
Embedded Systems

Prerequisites: A grade of "P" or "C" or better in CSCE 230 or CSCE 231.

Description: Introduction to designing, interfacing, configuring, and programming embedded systems. Configure simple embedded microprocessor systems, control peripherals, write device drivers in a high-level language, set up embedded and real-time operating systems, and develop applications for embedded systems.

This course is a prerequisite for: CSCE 488; CSCE 488H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$40

Credit Hours:3

ACE:

CSCE351
Operating System Kernels

Prerequisites: A grade of "P" or "C" or better in CSCE 230 or CSCE 231 and CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Design and implementation of operating system kernels. Bootstrapping and system initialization, process context switching, I/O hardware and software, DMA, I/O polling, interrupt handlers, device drivers, clock management. Substantial programming implementing or extending an instructional operating system kernel.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$40

Credit Hours:3

ACE:

CSCE352
Exploring Virtual Reality

Prerequisites: CSCE 155A/155E/155T/155H, SOFT 160, RAIK 183H, or equivalent.

Requires familiarity with a high-level programming language .

Description: Introduction to designing, developing and producing virtual reality and immersive experiences. Work in interdisciplinary teams to produce a virtual reality/immersive project, game or storytelling experience.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE360
Software Security in Practice

Prerequisites: A grade of "P" or "C" or higher in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H, or RAIK 283H

Description: Introduction to web application security risks and associated mitigation strategies, along with cloud-based resource management, and security basics on cloud application hosting.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE361
Software EngineeringCrosslisted with CSCE 361H

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Requires participation in a group design and implementation of a software project.

Description: Techniques used in the disciplined development of large software projects. Software requirements analysis and specifications, program design, coding and integration testing, and software maintenance. Software estimation techniques, design tools, and complexity metrics.

This course is a prerequisite for: CSCE 461, CSCE 861, SOFT 461; CSCE 486; CSCE 486H; CSCE 488; CSCE 488H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE361H
Software EngineeringCrosslisted with CSCE 361

Prerequisites: Good Standing in UNL Honors Program or by invitation; A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Requires participation in a group design and implementation of a software project.

Description: Techniques used in the disciplined development of large software projects. Software requirements analysis and specifications, program design, coding and integration testing, and software maintenance. Software estimation techniques, design tools, and complexity metrics.

This course is a prerequisite for: CSCE 461, CSCE 861, SOFT 461; CSCE 486; CSCE 486H; CSCE 488; CSCE 488H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE370H
Honors: Data and Models II: Data Science FundamentalsCrosslisted with RAIK 370H

Prerequisites: Good standing in the University Honors Program or by invitation; admission to the Jeffrey S.Raikes School of Computer Science and Management; and RAIK 270H

Description: Introduction to approaches using data for prediction and learning. Exploration of data for linear and nonlinear data modeling, machine learning, and supportive methods from statistics and numerical methods.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL/SPR

Credit Hours:3

ACE:

CSCE378
Human-Computer Interaction

Prerequisites: A grade of "P" or "C" or better in CSCE 156, CSCE 156H, SOFT 161, SOFT 161H, RAIK 184H or CSCE 311.

STAT 380 or ECEN 305 recommended. Meeting ACE 1 and ACE 2 requirements prior to taking this course recommended.

Description: Knowledge and techniques useful in the design of computing systems for human use. Includes models of HCI, human information processing characteristics important in HCI, computer system features, such as input and output devices, dialogue techniques, and information presentation, task analysis, prototyping and the iterative design cycle, user interface implementation, interface evaluation.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE378H
Honors: Human-Computer Interaction

Prerequisites: Good standing in the University Honors Program; A grade of "P" or "C" or better in CSCE 156, CSCE 156H, SOFT 161, SOFT 161H, RAIK 184H or CSCE 311.

STAT 380/RAIK 270H or ECEN 305 recommended. Meeting ACE 1 and ACE 2 requirements prior to taking this course recommended.

Description: Knowledge and techniques useful in the design of computing systems for human use. Includes models of HCI, human information processing characteristics important in HCI, computer system features, such as input and output devices, dialogue techniques, and information presentation, task analysis, prototyping and the iterative design cycle, user interface implementation, interface evaluation.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE386
Practice and Professional Development: Design and Implementation

Prerequisites: Grade of "Pass" or "C" in CSCE 311.

Description: Studies in data science practice and professional development. Data science topics include data-centric and model-driven approaches; information and knowledge structures, organization, and access; searching and mining; and visualization. Professional development involves instruction in career development, entrepreneurship, professional ethics, and professional communications.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL

Credit Hours:3

ACE:

CSCE391
Special Topics in Computer Science

Prerequisites: Permission.

Description: Aspects of computers and computing for non-computer science and computer engineering majors and/or minors. Topics vary.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option

Credit Hours:1-3

ACE:

CSCE392
Special Topics in Computer Science

Prerequisites: Permission.

Description: Aspects of computers and computing for computer science and computer engineering majors and minors. Topics vary.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option

Credit Hours:1-3

ACE:

CSCE394
Independent Study in Computing

Prerequisites: Junior standing; permission of the instructor.

Description: Independent study of computer science topics performed under the guidance of a member of the faculty in the Department of Computer Science and Engineering.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:1-3

ACE:

CSCE399
Undergraduate Thesis

Prerequisites: Permission.

Description: Independent practice and research leading to a thesis.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded

Credit Hours:1-3

ACE:

CSCE399H
Honors Undergraduate Thesis

Prerequisites: Permission.

Description: Independent practice and research leading to a thesis.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded

Credit Hours:1-3

ACE:

CSCE401H
Honors: RAIK Design Studio ICrosslisted with RAIK 401H, BSAD 401H, SOFT 401H

Prerequisites: Good standing in the University Honors Program or by invitation; admission to the Jeffrey S. Raikes School of Computer Science and Management; RAIK 284H/SOFT 261H or equivalent.

First semester in the Jeffrey S. Raikes School of Computer Science and Management design studio

Description: Application of Raikes School core content in a team oriented, project management setting. Complete projects in consultation with private and public sector clients.

This course is a prerequisite for: RAIK 402H, BSAD 402H, CSCE 402H, SOFT 402H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Offered:FALL
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 8 Civic/Ethics/Stewardship

CSCE402H
Honors: RAIK Design Studio IICrosslisted with RAIK 402H, BSAD 402H, SOFT 402H

Prerequisites: Good standing in the University Honors Program or by invitation; admission to the Jeffrey S. Raikes School of Computer Science and Management; BSAD/CSCE/SOFT/RAIK 401H.

Second semester in the Jeffrey S. Raikes School of Computer Science and Management design studio

Description: Application of Raikes School core content in a team oriented, project management setting. Complete projects in consultation with private and public sector clients.

This course is a prerequisite for: RAIK 403H, BSAD 403H, CSCE 403H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Offered:SPRING
ACE Outcomes: ACE 10 Integrated Product
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 10 Integrated Product

CSCE403H
Honors: RAIK Design Studio IIICrosslisted with RAIK 403H, BSAD 403H

Prerequisites: Good standing in the University Honors Program or by invitation; admission to the Jeffrey S. Raikes School of Computer Science and Management; BSAD/CSCE/SOFT/RAIK 402H.

Third semester of Jeffrey S. Raikes School of Computer Science and Management design studio sequence.

Description: Application of Jeffrey S. Raikes School of Computer Science and Management core content in a team oriented, project management setting. Complete projects in consultation with private and public sector clients.

This course is a prerequisite for: RAIK 404H, BSAD 404H, CSCE 404H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:

CSCE404H
Honors: RAIK Design Studio IVCrosslisted with RAIK 404H, BSAD 404H

Prerequisites: Good standing in the University Honors Program or by invitation; admission to the Jeffrey S. Raikes School of Computer Science and Management; and BSAD/CSCE/SOFT/RAIK 403H.

Fourth semester in the Jeffrey S. Raikes School of Computer Science and Management design studio sequence.

Description: Application of Raikes School core content in a team oriented, project management setting. Complete projects in consultation with private and public sector clients.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:

CSCE405H
Honors: RAIK Research Studio ICrosslisted with RAIK 405H

Prerequisites: Good standing in the University Honors Program or by invitation; admission to the Jeffrey S. Raikes School of Computer Science and Management; RAIK 284H/SOFT 261H or equivalent.

First semester of Jeffrey S. Raikes School of Computer Science and Management research studio experience. Students work individually with a sponsoring faculty member from the area of their research and Raikes School faculty.

Description: Application of research principles to solve complex problems through the delivery of innovative, cutting-edge solutions and to gain an understanding of the roles involved.

This course is a prerequisite for: CSCE 406H, RAIK 406H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Offered:FALL

Credit Hours:3

ACE:

CSCE406H
Honors: RAIK Research Studio IICrosslisted with RAIK 406H

Prerequisites: RAIK 405H

Second semester of Jeffrey S. Raikes School of Computer Science and Management research studio experience. Students work individually with a sponsoring faculty member from the area of their research and Raikes School faculty.

Description: Application of research principles to solve complex problems through the delivery of innovative, cutting-edge solutions and to gain an understanding of the roles involved.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Offered:SPRING

Credit Hours:3

ACE:

CSCE410
Information Retrieval SystemsCrosslisted with CSCE 810

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Outline of the general information retrieval problem, functional overview of information retrieval. Deterministic models of information retrieval systems; conventional Boolean, fuzzy set theory, p-norm, and vector space models. Probabilistic models. Text analysis and automatic indexing. Automatic query formulation. System-user adaptation and learning mechanisms. Intelligent information retrieval. Retrieval evaluation. Review of new theories and future directions. Practical experience with a working experimental information retrieval system.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:SPRING

Credit Hours:3

ACE:

CSCE411
Data Modeling for Systems DevelopmentCrosslisted with CSCE 811

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Concepts of relational and object-oriented data modeling through the process of data model development including conceptual, logical and physical modeling. Techniques for identifying and creating relationships between discrete data members, reasoning about how data modeling and analysis are incorporated in system design and development, and specification paradigms for data models. Common tools and technologies for engineering systems and frameworks for integrating data. Design and analysis of algorithms and techniques for identification and exploration of data relationships, such as Bayesian probability and statistics, clustering, map-reduce, and web-based visualization.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE412
Data VisualizationCrosslisted with CSCE 812

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H; MATH 314.

Description: Fundamentals and implementations of data visualization techniques. Programming skills and practices in interactive visualization applications. Visualization foundations, human perception for information processing, and visualization techniques for different data types, such as scalar-field data, vector-field data, geospatial data, multivariate data, graph/network data, and text/document data. Advanced visualization algorithms and topics as time permits.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL/SPR

Credit Hours:3

ACE:

CSCE413
Database SystemsCrosslisted with CSCE 813

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Involves practical experience with a working database system.

Description: Data and storage models for database systems; entity/relationship, relational, and constraint models; relational databases; relational algebra and calculus; structured query language; Logical database design: normalization; integrity; distributed data storage; concurrency; security issues. Spatial databases and geographic information systems.

This course is a prerequisite for: CSCE 913; CSCE 914

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$40

Credit Hours:3

ACE:

CSCE421
Foundations of Constraint ProcessingCrosslisted with CSCE 821

Prerequisites: A grade of "P" or "C" or better in CSCE 235 and CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Constraint processing for articulating and solving industrial problems such as design, scheduling, and resource allocation. The foundations of constraint satisfaction, its basic mechanisms (e.g., search, backtracking, and consistency-checking algorithms), and constraint programming languages. New directions in the field, such as strategies for decomposition and for symmetry identification.

This course is a prerequisite for: CSCE 921

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$10

Credit Hours:3

ACE:

CSCE423
Design and Analysis of AlgorithmsCrosslisted with CSCE 823

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Mathematical preliminaries. Strategies for algorithm design, including divide-and-conquer, greedy, dynamic programming and backtracking. Mathematical analysis of algorithms. Introduction to NP-Completeness theory, including the classes P and NP, polynomial transformations and NP-complete problems.

This course is a prerequisite for: CSCE 923; CSCE 924

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE424
Computational Complexity TheoryCrosslisted with CSCE 824

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Turing machine model of computation: deterministic, nondeterministic, alternating, probabilistic. Complexity classes: Time and space bounded, deterministic, nondeterministic, probabilistic. Reductions and completeness. Complexity of counting problems. Non-uniformity. Lower bounds. Interactive proofs.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE425
Compiler ConstructionCrosslisted with CSCE 825

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Review of program language structures, translation, loading, execution, and storage allocation. Compilation of simple expressions and statements. Organization of a compiler including compile-time and run-time symbol tables, lexical scan, syntax scan, object code generation, error diagnostics, object code optimization techniques, and overall design.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE428
Automata, Computation, and Formal LanguagesCrosslisted with CSCE 828

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Introduction to the classical theory of computer science. Finite state automata and regular languages, minimization of automata. Context free languages and pushdown automata, Turing machines and other models of computation, undecidable problems, introduction to computational complexity.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE430
Computer ArchitectureCrosslisted with CSCE 830

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H; Coreq: STAT 380, ECEN 305 or RAIK 270H.

Description: Architecture of single-processor (Von Neumann or SISD) computer systems. Evolution, design, implementation, and evaluation of state-of-the-art systems. Memory Systems, including interleaving, hierarchies, virtual memory and cache implementations; Communications and I/O, including bus architectures, arbitration, I/O processors and DMA channels; and Central Processor Architectures, including RISC and Stack machines, high-speed arithmetic, fetch/execute overlap, and parallelism in a single-processor system.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE431
Hardware and Software Acceleration for Machine LearningCrosslisted with CSCE 831

Prerequisites: A grade of "P" or "C" or better in CSCE 230 or CSCE 231 and CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Overview of the hardware and software acceleration techniques, including basics of deep learning, deep learning frameworks, hardware accelerators, co-optimization of algorithms and hardware, training and inference, support for state-of-the-art deep learning networks.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL

Credit Hours:3

ACE:

CSCE435
Cluster and Grid ComputingCrosslisted with CSCE 835

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H, or RAIK 283H.

Designed for CSCE and non-CSCE students who have an interest in building or programming clusters to enhance their computationally-intense research.

Description: Build and program clusters. Cluster construction, cluster administration, cluster programming, and grid computing.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE436
Advanced Embedded SystemsCrosslisted with CSCE 836

Prerequisites: A grade of "P" or "C" or better in CSCE 231, CSCE 336 or ECEN 220.

Description: Embedded hardware design techniques; transceiver design and low-power communication techniques; sensors and distributed sampling techniques; embedded software design and embedded operating systems; driver development; embedded debugging techniques;hardware and software architectures of embedded systems; and design, development, and implementation of embedded applications.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$40

Credit Hours:3

ACE:

CSCE438
Internet of ThingsCrosslisted with CSCE 838

Prerequisites: CSCE 230 or CSCE 231; SOFT 260, CSCE 310, CSCE 310H, CSCE 311 or equivalent; senior or graduate standing or instructor permission.

Description: Theoretical and practical insight into the Internet of Things (IoT). Basics of IoT, including devices and sensors, connectivity, cloud processing and storage, analytics and machine learning, security, business models as well as advanced topics such as localization, synchronization, connected vehicles, and applications of IoT. Includes a group project that provides hands-on interaction with IoT.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE439
Robotics: Algorithms and ApplicationsCrosslisted with CSCE 839

Prerequisites: A grade of "P" or "C" or better in CSCE 231, CSCE 336 or ECEN 220 and CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H

Description: Fundamental theory and algorithms for real world robot systems. Design and build a robot platform and implement algorithms in C++ or other high level languages. Topics include: open and closed loop control, reactive control, localization, navigation, path planning, obstacle avoidance, dynamics, kinematics, manipulation and grasping, sensing, robot vision processing, and data fusion.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL/SPR
Course and Laboratory Fee:$50

Credit Hours:3

ACE:

CSCE440
Numerical Analysis ICrosslisted with CSCE 840, MATH 440, MATH 840

Credit toward the degree may be earned in only one of the following: CSCE/MATH 440/840 and MECH 480/880.

Description: Principles of numerical computing and error analysis covering numerical error, root finding, systems of equations, interpolation, numerical differentiation and integration, and differential equations. Modeling real-world engineering problems on digital computers. Effects of floating point arithmetic.

This course is a prerequisite for: CSCE 942

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE443
Cybersecurity for Big Data, Cloud and CryptocurrenciesCrosslisted with CSCE 843

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Labs will be conducted on academic cloud and compute environments as well as public clouds.

Description: Covers the cybersecurity threat landscape and the mitigation strategies for Big Data, Cloud environments and Cryptocurrencies. Discusses emerging technologies and frameworks such as End-to-end encryption, Blockchains, Smart Contracts, OpenID Connect and OAuth2.0 as promising solutions to ensure data confidentiality and privacy.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL

Credit Hours:3

ACE:

CSCE451
Operating Systems PrinciplesCrosslisted with CSCE 851

Prerequisites: A grade of "P" or "C" or better in CSCE 230 or CSCE 231 and CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Organization and structure of operating systems. Control, communication, and synchronization of concurrent processes. Processor and job scheduling. Memory organization and management including paging, segmentation, and virtual memory. Resource management. Deadlock avoidance, detection, recovery. File system concepts and structure. Protection and security. Substantial programming.

This course is a prerequisite for: CSCE 455, CSCE 855

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE453H
Honors: User InterfacesCrosslisted with RAIK 453H

Prerequisites: A grade of "P" or "C+" or higher in CSCE 156, CSCE 156H, CSCE 220, CSCE 311, RAIK 184H, SOFT 161, or SOFT 161H. Good standing in the University Honors Program.

Enrolled students are expected to have advanced communication skills and a high commitment to conscientiousness. Students who are not in the University Honors Program but nonetheless meet these requirements may request permission of the instructor to enroll. Meeting ACE1 and ACE2 requirements prior to taking this course is recommended.

Description: Introduction to the areas of user interfaces and user experience through reading and hands-on experiences. Areas covered include the psychology and physiology of design, the process of interface design, cultural values and accessibility, designing for beauty and delight, and dynamic evaluation strategies.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE454
Human-Robot InteractionCrosslisted with CSCE 854

Prerequisites: A grade of "P" or "C" or better in CSCE 156, CSCE 156H, SOFT 161, SOFT 161H, RAIK 184H or CSCE 311.

Meeting ACE1 and ACE2 requirements prior to taking this course is recommended. Non-CSCE majors may discuss qualifications with the instructor.

Description: Introduction to the area of human-robot interaction through the reading and discussion of current peer-reviewed articles on topic to include teleoperation, social robotics, and open questions with field-based or aerial robotic systems. Areas covered include: research methods, experimental design, and identification of problems/open questions.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL/SPR

Credit Hours:3

ACE:

CSCE455
Distributed Operating SystemsCrosslisted with CSCE 855

Prerequisites: CSCE 451/851.

Description: Organization and structure of distributed operating systems. Control, communication and synchronization of concurrent processes in the context of distributed systems. Processor allocation and scheduling. Deadlock avoidance, detection, recovery in distributed systems. Fault tolerance. Distributed file system concepts and structure.

This course is a prerequisite for: CHME 496, CHME 896

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE456
Parallel ProgrammingCrosslisted with CSCE 856

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H, or RAIK 283H.

Description: Introduction to the fundamentals of parallel computation and applied algorithm design. Methods and models of modern parallel computation; general techniques for designing efficient parallel algorithms for distributed and shared memory multiprocessor machines; principles and practice in programming an existing parallel machine.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$10

Credit Hours:3

ACE:

CSCE457
Systems AdministrationCrosslisted with CSCE 857

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Introduction to basic concepts of system administration. Operating systems and networking overview. User and resource management. Networking, systems and internet related security. System services and common applications, web services, database services, and mail servers. Basic scripting in shell, Perl, and Expect. Systems administration on UNIX® platform.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE458
Molecular and Nanoscale CommunicationCrosslisted with CSCE 858

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H; STAT 380, ECEN 305 or RAIK 270H.

Completing CSCE 462/862 and CSCE 465/865 prior to taking this course is recommended. Exceptions can be granted on a per-student basis by the instructor.

Description: Overview of nanoscale communication options. Focus on bio-inspired communication through molecule exchange and biochemical reactions. Different techniques to realize nanomachines will be surveyed in the course, with particular attention to the tools provided by synthetic biology for the programming of biological cooperative systems.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL/SPR

Credit Hours:3

ACE:

CSCE459
Genetically Engineered SystemsCrosslisted with CSCE 859

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H; STAT 380, ECEN 305 or RAIK 270H.

Completing CSCE/MATH 440/840, MATH 439/839, and CSCE 471/871 prior to taking this course is recommended. Exceptions can be granted on a per-student basis by the instructor. Meeting ACE 1 and ACE 2 requirements prior to taking this course is recommended. Non-CSCE majors may discuss qualifications with the instructor.

Description: Introduction to the field of synthetic biology, and its interdisciplinary foundational concepts. Presents the technologies at the basis of synthetic biology, together with the engineering concepts that underlie the design, modeling, and realization of genetically engineered systems. Surveys examples of cutting edge applications.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL/SPR

Credit Hours:3

ACE:

CSCE460
Software Engineering for RoboticsCrosslisted with SOFT 460, CSCE 860

Prerequisites: SOFT 261 or RAIK 284H or CSCE 361

Description: Application of software engineering practices and principles to autonomous robotic systems.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Offered:FALL

Credit Hours:3

ACE:

CSCE461
Advanced Topics in Software EngineeringCrosslisted with CSCE 861, SOFT 461

Prerequisites: A grade of "P" or "C" or better in CSCE 361, CSCE 361H, SOFT 261, SOFT 261H or RAIK 284H.

Description: Advanced or emerging techniques in software engineering. Topics include but not limited to design methodology, software dependability, and advanced software development environments.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE462
Communication NetworksCrosslisted with CSCE 862

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H; STAT 380, ECEN 305 or RAIK 270H.

Description: Introduction to the architecture of communication networks and the rudiments of performance modeling. Circuit switching, packet switching, hybrid switching, protocols, local and metro area networks, wide area networks and the Internet, elements of performance modeling, and network programming. Network security, asynchronous transfer mode (ATM), optical, wireless, cellular, and satellite networks, and their performance studies.

This course is a prerequisite for: CSCE 952; CSCE 953

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE463
Data and Network SecurityCrosslisted with CSCE 863

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Concepts and principles of data and network security. Focuses on practical aspects and application of crypto systems in security protocols for networks such as the Internet. Topics include: applications of cryptography and cryptosystems for digital signatures, authentication, network security protocols for wired and wireless networks, cyberattacks and countermeasures, and security in modern computing platforms.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE464
Internet Systems and ProgrammingCrosslisted with CSCE 864

Prerequisites: A grade of "Pass" or C or better in CSCE 156, SOFT 161, RAIK 184H or CSCE 311 or equivalent programming experience.

A grade of "Pass" or C or better in CSCE 156, SOFT 161, RAIK 184H or CSCE 311 or equivalent programming experience.

Description: Paradigms, systems, and languages for Internet applications. Client-side and server-side programming, object-based and event-based distributed programming, and multi-tier applications. Coverage of specific technologies varies.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE465
Wireless Communication NetworksCrosslisted with CSCE 865

Prerequisites: A grade of "P" or "C" or better in STAT 380, ECEN 305 or RAIK 270H

Description: Discussion of theoretical and practical insight to wireless communications and wireless networking, current practices, and future trends. Wireless network architectures, mobility management, radio propagation, modulation, power control, antennas, channel access, pricing, and standards.

This course is a prerequisite for: CSCE 954

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE466
Software Design and ArchitectureCrosslisted with SOFT 466, CSCE 866

Prerequisites: A grade of "P" or "C" or better in CSCE 361, CSCE 361H, SOFT 261, SOFT 261H or RAIK 284H.

Letter grade only.

Description: Introduction to the concepts, principles, and state-of-the-art methods in software design and architecture. Topics include application of software engineering process models and management approaches for the design and architecture of large-scale software systems, trade-offs of designing for qualities such as performance, security, and dependability, and techniques and tools for analyzing and evaluating software architectures.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded

Credit Hours:3

ACE:

CSCE467
Testing, Verification and AnalysisCrosslisted with SOFT 467, CSCE 867

Prerequisites: A grade of "P" or "C" or better in CSCE 361, CSCE 361H, SOFT 261, SOFT 261H or RAIK 284H.

Letter grade only.

Description: In-depth coverage of problems related to software quality, and approaches for addressing them. Topics include testing techniques, dynamic and static program analysis techniques, and other approaches for verifying software qualities. Tool support for performing testing, verification, and analysis will also be studied.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE468
Requirements Elicitation, Modeling and AnalysisCrosslisted with SOFT 468, CSCE 868

Prerequisites: A grade of "P" or "C" or better in CSCE 361, CSCE 361H, SOFT 261, SOFT 261H or RAIK 284.

Letter grade only.

Description: In-depth coverage of processes, methods and techniques for determining, or deciding, what a proposed software system should do. Topics include the requirements engineering process, identification of stakeholders, requirements elicitation techniques, methods for informal and formal requirements documentation, techniques for analyzing requirements models for consistency and completeness, and traceability of requirements across system development and evolution. Tool support for modeling functional and non-functional requirements to support elicitation and analysis will be studied.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded

Credit Hours:3

ACE:

CSCE469
Secure Software EngineeringCrosslisted with SOFT 469, CSCE 869

Prerequisites: SOFT 261, CSCE 361, RAIK 284H, or graduate standing.

Description: Introduction to concepts, principles and state-of-the-art methods in creating and maintaining secure software systems.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE470
Computer GraphicsCrosslisted with CSCE 870

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H; MATH 314

Description: Display and recording devices; incremental plotters; point, vector, and character generation; grey scale displays, digitizers and scanners, digital image storage; interactive and passive graphics; pattern recognition; data structures and graphics software; the mathematics of three dimensions; homogeneous coordinates; projections and the hidden-line problem.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$20

Credit Hours:3

ACE:

CSCE471
Computational Methods in BioinformaticsCrosslisted with CSCE 871

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Introduction to computational methods for tackling challenges in biological data analysis and modeling and understanding complex systems at the molecular and cellular level. The main topics include bio-sequence analysis, motif finding, structure prediction, phylogenic inference, regulation network modeling, and high-throughput omics data analysis.

This course is a prerequisite for: CSCE 971

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:SPRING

Credit Hours:3

ACE:

CSCE472
Digital Image ProcessingCrosslisted with CSCE 872

Prerequisites: A grade of "Pass" or C or better in CSCE 156, SOFT 161, RAIK 184H or CSCE 311 or equivalent programming experience.

A grade of "Pass" or C or better in CSCE 156, SOFT 161, RAIK 184H or CSCE 311 or equivalent programming experience.

Description: Digital imaging systems, digital image processing, and low-level computer vision. Data structures, algorithms, and system analysis and modeling. Digital image formation and presentation, image statistics and descriptions, operations and transforms, and system simulation. Applications include system design, restoration and enhancement, reconstruction and geometric manipulation, compression, and low-level analysis for computer vision.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$10

Credit Hours:3

ACE:

CSCE473
Computer VisionCrosslisted with CSCE 873

Prerequisites: CSCE 156, SOFT 161, or CSCE 311 or equivalent programming experience.

A grade of "Pass" or C or better in CSCE 156, SOFT 161, RAIK 184H or CSCE 311 or equivalent programming experience.

Description: High-level processing for image understanding and high-level vision. Data structures, algorithms, and modeling. Low-level representation, basic pattern-recognition and image-analysis techniques, segmentation, color, texture and motion analysis, and representation of 2-D and 3-D shape. Applications for content-based image retrieval, digital libraries, and interpretation of satellite imagery.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$40

Credit Hours:3

ACE:

CSCE474
Introduction to Data MiningCrosslisted with CSCE 874

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H; STAT 380, ECEN 305 or RAIK 270H.

Requires the completion of a project involving the application of data mining techniques to real-world problems.

Description: Data mining and knowledge discovery methods and their application to real-world problems. Algorithmic and systems issues. Statistical foundations, association discovery, classification, prediction, clustering, spatial data mining and advanced techniques.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE475
Multiagent SystemsCrosslisted with CSCE 875

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Distributed problem solving and planning, search algorithms for agents, distributed rational decision making, learning multiagent systems, computational organization theory, formal methods in Distributed Artificial Intelligence, multiagent negotiations, emergent behaviors (such as ants and swarms), and Robocup technologies and real-time coalition formation.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option

Credit Hours:3

ACE:

CSCE476
Introduction to Artificial IntelligenceCrosslisted with CSCE 876

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Description: Introduction to basic principles, techniques, and tools now being used in the area of machine intelligence. Languages for AI programming introduced with emphasis on LISP. Lecture topics include problem solving, search, game playing, knowledge representation, expert systems, and applications.

This course is a prerequisite for: CSCE 976

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$40

Credit Hours:3

ACE:

CSCE477
Cryptography and Computer SecurityCrosslisted with CSCE 877

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H; MATH 314.

Description: Introductory course on cryptography and computer security. Topics: classical cryptography (substitution, Vigenere, Hill and permutation ciphers, and the one-time pad); Block ciphers and stream ciphers; The Data Encryption Standard; Public-key cryptography, including RSA and El-Gamal systems; Signature schemes, including the Digital Signature Standard; Key exchange, key management and identification protocols.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$35

Credit Hours:3

ACE:

CSCE478
Introduction to Machine LearningCrosslisted with CSCE 878

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

STAT 380, ECEN 305, or RAIK 270H recommended.

Description: Introduction to the fundamentals and current trends in machine learning. Possible applications for game playing, text categorization, speech recognition, automatic system control, date mining, computational biology, and robotics. Theoretical and empirical analyses of decision trees, artificial neural networks, Bayesian classifiers, genetic algorithms, instance-based classifiers and reinforcement learning.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$50

Credit Hours:3

ACE:

CSCE479
Introduction to Deep LearningCrosslisted with CSCE 879

Prerequisites: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.

Completing STAT 380/RAIK 270H or ECEN 305 prior to taking this course is recommended.

Description: Fundamentals and current trends in deep learning. Backpropagation, activation functions, loss functions, choosing an optimizer, and regularization. Common architectures such as convolutional, autoencoders, and recurrent. Applications such as image analysis, text analysis, sequence analysis, and reinforcement learning.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:SPRING
Course and Laboratory Fee:$50

Credit Hours:3

ACE:

CSCE484
Data Science Professional Development

Prerequisites: CSCE 311

Description: Preparation for the senior design project. Professional practice through familiarity with current tools, resources, and technologies. Professional standards, practices and ethics, and the oral and written report styles used specifically in the field of data science.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL

Credit Hours:3

ACE:

CSCE486
Computer Science Professional Development

Prerequisites: A grade of "Pass" or "C" or better in SOFT 261, SOFT 261H, CSCE 361, or CSCE 361H. JGEN 200.

Must be taken exactly one semester before CSCE 487 or CSCE 487H.

Description: Preparation for the senior design project. Professional practice through familiarity with current tools, resources, and technologies. Professional standards, practices and ethics, and the oral and written report styles used specifically in the field of computer science.

This course is a prerequisite for: CSCE 487; CSCE 487H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$10
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 8 Civic/Ethics/Stewardship

CSCE486H
Honors Computer Science Professional Development

Prerequisites: A grade of "Pass" or "C" or better in SOFT 261, SOFT 261H, CSCE 361, or CSCE 361H. JGEN 200.

Must be taken exactly one semester before CSCE 487 or CSCE 487H.

Description: Preparation for the senior design project. Professional practice through familiarity with current tools, resources, and technologies. Professional standards, practices and ethics, and the oral and written report styles used specifically in the field of computer science.

This course is a prerequisite for: CSCE 487H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 8 Civic/Ethics/Stewardship

CSCE487
Computer Science Senior Design Project

Prerequisites: CSCE 486

Should be taken in the immediate next term after CSCE 486.

Description: A substantial computer science project requiring design, planning and scheduling, teamwork, written and oral communications, and the integration and application of technical and analytical aspects of computer science and software engineering.

This course is a prerequisite for: SOFT 403; SOFT 403H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$40
ACE Outcomes: ACE 10 Integrated Product
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 10 Integrated Product

CSCE487H
Honors Computer Science Senior Design Project

Prerequisites: CSCE 486 or CSCE 486H.

Should be taken in the immediate next term after CSCE 486 or CSCE 486H.

Description: A substantial computer science project requiring design, planning and scheduling, teamwork, written and oral communications, and the integration and application of technical and analytical aspects of computer science and software engineering.

This course is a prerequisite for: SOFT 403H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:SPRING
ACE Outcomes: ACE 10 Integrated Product
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 10 Integrated Product

CSCE488
Computer Engineering Professional Development

Prerequisites: CSCE 336; A grade of "Pass" or "C" or better in CSCE 361 or CSCE 361H; formal admission to the College of Engineering; prereq or coreq: JGEN 300.

Must be taken exactly one semester before CSCE 489 or CSCE 489H.

Description: Preparation for the senior design project. Professional practice through familiarity and practice with current tools, resources, and technologies; professional standards, practices, and ethics; and oral and written report styles used in the computer engineering field.

This course is a prerequisite for: CSCE 489; CSCE 489H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$10
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 8 Civic/Ethics/Stewardship

CSCE488H
Honors Computer Engineering Professional Development

Prerequisites: CSCE 336; A grade of "Pass" or "C" or better in CSCE 361 or CSCE 361H; formal admission to the College of Engineering; prereq or coreq: JGEN 300.

Must be taken exactly one semester before CSCE 489 or CSCE 489H.

Description: Preparation for the senior design project. Professional practice through familiarity and practice with current tools, resources, and technologies; professional standards, practices, and ethics; and oral and written report styles used in the computer engineering field.

This course is a prerequisite for: CSCE 489H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:FALL
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 8 Civic/Ethics/Stewardship

CSCE489
Computer Engineering Senior Design Project

Prerequisites: CSCE 488 (taken exactly one semester previous).

Description: A substantial computer engineering project requiring hardware-software co-design, planning and scheduling, teamwork, written and oral communications, and the integration and application of technical and analytical aspects of computer science and computer engineering.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Course and Laboratory Fee:$40
ACE Outcomes: ACE 10 Integrated Product
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 10 Integrated Product

CSCE489H
Honors Computer Engineering Senior Design Project

Prerequisites: CSCE 488 or CSCE 488H (taken exactly one semester previous).

Description: A substantial computer engineering project requiring hardware-software co-design, planning and scheduling, teamwork, written and oral communications, and the integration and application of technical and analytical aspects of computer science and computer engineering.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Grading Option:Graded with Option
Offered:SPRING
ACE Outcomes: ACE 10 Integrated Product
Experiential Learning:Case/Project-Based Learning

Credit Hours:3

ACE:ACE 10 Integrated Product

CSCE492
Special Topics in Computer ScienceCrosslisted with CSCE 892

Prerequisites: CSCE 310/310H, CSCE 311, SOFT 260/260H/RAIK 283H, or graduate standing.

Description: Aspects of computers and computing not covered elsewhere in the curriculum presented as the need arises.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option
Course and Laboratory Fee:$40

Credit Hours:1-3

ACE:

CSCE492H
Honors Special Topics in Computer Science

Prerequisites: Permission.

Description: Topics vary

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option

Credit Hours:1-3

ACE:

CSCE493
Innovation Lab Project

Prerequisites: CSCE 310, CSCE 310H, CSCE 311, or CSCE 320

Description: Innovative team projects executed under the guidance of members of the faculty of the Department of Computer Science and Managing Director of the CSCE Innovation Lab. Students will work in teams and collaborate with CSE research faculty, supervising MS students, and sponsors that include private sectors and UNL faculty to design and develop real-world systems.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option
Experiential Learning:Case/Project-Based Learning

Credit Hours:1-3

ACE:

CSCE493A
Interdisciplinary Capstone

Prerequisites: CSCE 311

Does not apply toward any requirements for the Computer Science or Computer Engineering degree. Required for the Informatics minor.

Description: Innovative team projects executed under the guidance of members of the faculty of the Department of Computer Science and Managing Director of the CSCE Innovation Lab. Work in teams and collaboration with CSE research faculty and sponsors that include private sectors and UNL faculty to design and develop real-world systems to solve interdisciplinary problems.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded
Experiential Learning:Case/Project-Based Learning

Credit Hours:1-3

ACE:

CSCE495
Internship in Computing Practice

Prerequisites: Permission.

Requires a detailed project proposal and final report.

Description: Experiential learning in conjunction with an approved industrial or government agency under the joint supervision of an outside sponsor and a faculty advisor.

Course details
Credit Hours:1-3
Max credits per semester:3
Max credits per degree:6
Grading Option:Graded with Option
Experiential Learning:Internship/Co-op

Credit Hours:1-3

ACE:

CSCE498
Computer ProblemsCrosslisted with CSCE 898

Prerequisites: Senior or graduate standing.

Description: Independent project executed under the guidance of a member of the faculty of the Department of Computer Science. Solution and documentation of a computer problem demanding a thorough knowledge of either the numerical or nonnumerical aspects of computer science.

Course details
Credit Hours:1-6
Max credits per semester:6
Max credits per degree:6
Grading Option:Graded with Option

Credit Hours:1-6

ACE: