Description

Website: http://cse.unl.edu
Email: info@cse.unl.edu

The UNL Department of Computer Science and Engineering (CSE) offers Nebraska's only comprehensive program of higher education, research, and service outreach in computer science and computer engineering.

The CSE department offers a challenging baccalaureate degree program in computer engineering that prepares graduates for professional practice in commerce, industry, and government, and for post-graduate education to enter careers in research and academia. The BS degree in computer engineering is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org.

The focus of the program is integrated hardware/software system design. Increasingly, diverse systems, products, and processes depend on computers for design, control, data acquisition, and other functions. The computer engineer possesses the range of expertise to have an integrated view of computer-based systems and to make global design decisions.

Consistent with this focus, the computer engineering baccalaureate program develops:
 

  • The ability to view computer systems as an integrated continuum of technologies and to engage in integrated system-level design. Studies include mathematical foundations, digital logic and technologies, programming and software design, system components and design, application of theory, experimentation, design tools and techniques, and documentation and maintenance.
  • The ability to work with professionals in related fields over the spectrum of system design. Studies include natural sciences, electricity/electronics, and programming and software design.
  • Skills to quickly adapt to new work environments, assimilate new information, and solve new problems. Studies develop skills in the application of theory, experimentation, design tools and techniques, documentation and maintenance, and technical communications.
  • The background and perspective for post-graduate education. Studies develop skills in the application of theory, experimentation, and life-long learning/professional development.
  • Abilities to work in conformance with societal needs and expectations. Studies include liberal arts and ethical/social issues.
  • Insight into the world of practicing professionals, for collaborations, mutual support, and representing the profession to government and society. Studies include teamwork and life-long learning/professional development, plus students are provided multiple opportunities for involvement in organizations such as ACM, UPE, and IEEE.

The CSE department also offers a degree of bachelor of science in computer science through the College of Arts and Sciences. All students majoring in the CSE department should see their advisors during their first semester to make sure they understand the differences in the requirements of the two programs. Majors should consult with their advisors each semester for registration advising.
 

Introductory Courses. Entering students may select from several introductory courses according to their interests and as indicated by the CSE Placement Examination. The Computer Science I courses (CSCE 155A Computer Science I, CSCE 155H Honors: Computer Science I, CSCE 155E Computer Science I: Systems Engineering Focus, CSCE 155N Computer Science I: Engineering and Science Focus, and CSCE 155T Computer Science I: Informatics Focus) all provide a foundation in designing and programming computing solutions and prepare students for more advanced CSCE courses, including CSCE 156 Computer Science II. These courses are designed to meet different interests. CSCE 155A is designed for students majoring in computer science. CSCE 155H is for honors students. CSCE 155E emphasizes computing for systems engineering, such as control systems, mobile computing, and embedded devices and is designed for students majoring in computer engineering. CSCE 155N focuses on numerical and graphical computation in engineering and science, such as applied physics, working with time-sequence data, and matrix applications. CSCE 155T focuses on data and information processing, such as document or database applications, online commerce, or bioinformatics. CSCE 156 is for students with a background in designing and programming computing solutions, such as is provided by Computer Science I. CSCE 101 Fundamentals of Computer Science is for students seeking a broad introduction to computer science with brief instruction in computer programming.

Graduate Programs. The CSE department offers several graduate degree programs: master of science in computer science, master of science in computer science with computer engineering specialization, master of science in computer science with bioinformatics specialization, doctor of philosophy in computer science, doctor of philosophy in engineering with computer engineering specialization, doctor of philosophy in computer science with bioinformatics specialization, and joint doctor of philosophy in computer science and mathematics. See the Graduate Studies Catalog for details.

Major Department Admission

Students are expected to meet minimum college entrance requirements. After being admitted to the college, students wishing to pursue a degree in computer engineering must go through the Professional Admission process, which is automatically performed for qualifying students at the end of the sophomore year. In order to be considered for Professional Admission to the computer engineering program, students must receive at least a C+ in CSCE 155A, CSCE 155H, CSCE 155E, CSCE 155N, or CSCE 155T; CSCE 156; CSCE 230 Computer Organization; CSCE 235 Introduction to Discrete Structures; ECEN 215 Electronics and Circuits I; ECEN 235 Introductory Electrical Laboratory I; MATH 106 Calculus I; MATH 107 Calculus II; MATH 208 Calculus III; PHYS 211 General Physics I; PHYS 212 General Physics II and a GPA of at least 2.5 (semester and cumulative). If a student's cumulative GPA drops below 2.4, a student may be placed on restricted status, may be removed from the College, and may not be able to graduate.

College Requirements

College Admission

College Entrance Requirements

Students must have high school credit for (one unit is equal to one high school year):

  1. 4 units of mathematics: 2 of algebra, 1 of geometry, 1 of precalculus and trigonometry.
  2. 4 units of English.
  3. 3 units of natural science that must include 1 unit of physics and 1 unit of chemistry (chemistry requirement waived for students in construction management).
  4. 2 units of a single foreign language.
  5. 3 units of social studies.
  6. Students having a composite ACT score of 28 or greater (or equivalent SAT score) will be admitted to the College of Engineering even if they lack any one of the following: trigonometry, chemistry, or physics.
  7. Students having an ACT score of 19 or less in English (or equivalent SAT score) must take ENGL 150 Writing and Inquiry or ENGL 151 Writing and Argument.

A total of 16 units is required for admission.

Students must have an ACT (enhanced) score of 24 or greater (or equivalent SAT). Students who lack entrance requirements may be admitted based on ACT scores, high school rank and credits, or may be admitted to pre-engineering status in the Exploratory and Pre-Professional Advising Center. Pre-engineering students are advised within the College of Engineering.

Students for whom English is not their language of nurture must meet the minimum English proficiency requirements of the University.

Students who lack entrance units may complete precollege training by Independent Study through the UNL Office of On-line and Distance Education, in summer courses, or as a part of their first or second semester course loads while in the Exploratory and Pre-Professional Advising Center or other Colleges at UNL.

Students should consult their advisor, their department chair, or Engineering Student Services if they have questions on current policies.

Other Admission Requirements

Students who transfer to the University of Nebraska–Lincoln from other accredited colleges or universities and wish to be admitted to the College of Engineering (COE) must meet COE freshman entrance requirements and have a minimum cumulative GPA of 2.5 for Nebraska residents or 3.0 for non-residents. Students not meeting either of these requirements must enroll in the Explore Center or another UNL college until they meet COE admission requirements.

The COE accepts courses for transfer for which a C or better grade was received. Although UNL accepts D grades from the University of Nebraska at Kearney and at Omaha, not all majors in the COE accept such low grades. Students must conform to the requirements of their intended major and, in any case, are strongly encouraged to repeat courses with a grade of C- or less.

All transfer students must adopt the curricular requirements of the undergraduate catalog current at the time of transfer to the COE—not that in use when they entered UNL. Upon admission to UNL, students wishing to pursue degree programs in the COE will be classified and subject to the policies defined in the subsequent section.

College Degree Requirements

Grade Rules

Grade Appeals

In the event of a dispute involving any college policies or grades, the student should appeal to his/her instructor, and appropriate department chair or school director (in that order). If a satisfactory solution is not achieved, the student may appeal his/her case through the College Academic Appeals Committee on his/her campus.

Catalog Rule

Students must fulfill the requirements stated in the catalog for the academic year in which they are first admitted at UNL. In consultation with advisors, a student may choose to follow a subsequent catalog for any academic year in which they are admitted to and enrolled as a degree-seeking student at UNL in the College of Engineering. Students must complete all degree requirements from a single catalog year. The catalog which a student follows for degree requirements may not be more than 10 years old at the time of graduation.

Learning Outcomes

Majors in computer engineering will be able to:

  1. View computer systems as an integrated continuum of technologies and to engage in integrated system-level design. Studies include mathematical foundations, digital logic and technologies, programming and software design, system components and design, application of theory, experimentation, design tools and techniques, and documentation and maintenance.
  2. Work with professionals in related fields over the spectrum of system design. Studies include natural sciences, electricity/electronics, and programming and software design.
  3. Quickly adapt to new work environments, assimilate new information, and solve new problems. Studies develop skills in the application of theory, experimentation, design tools and techniques, documentation and maintenance, and technical communications.
  4. Have the background and perspective for post-graduate education. Studies develop skills in the application of theory, experimentation, and life-long learning/professional development.
  5. Work in conformance with societal needs and expectations. Studies include liberal arts and ethical/social issues.
  6. Understand the world of practicing professionals, for collaborations, mutual support, and representing the profession to government and society. Studies include teamwork and life-long learning/professional development, plus students are provided multiple opportunities for involvement in organizations such as ACM, UPE, and IEEE.

Major Requirements

The computer engineering degree requires 126 hours of course work. There is a set of required core courses and technical elective courses in computer science and engineering (57 credit hours), electrical engineering (17 credit hours), mathematics (19 credit hours), physics and chemistry (12-13 credit hours), and other supporting courses (21 credit hours) as described below.

Computer Science and Engineering (57 hours) CSE Core (36 hours)

CSCE 10Introduction to CSE0
Select one of the following:3
Computer Science I: Systems Engineering Focus
Honors: Computer Science I
Computer Science I
Computer Science I: Engineering and Science Focus
Computer Science I: Informatics Focus
CSCE 156Computer Science II4
CSCE 230Computer Organization4
CSCE 235Introduction to Discrete Structures3
CSCE 236Embedded Systems3
CSCE 251Unix Programming Environment1
CSCE 310Data Structures and Algorithms3
CSCE 335Digital Logic Design3
CSCE 440Numerical Analysis I3
CSCE 351Operating System Kernels3
CSCE 361Software Engineering3
CSCE 462Communication Networks3
Total Credit Hours36

Or for students in the J. S. Raikes School of Computer Science and Management:

RAIK 183HHonors: Computer Problem Solving Essentials4
RAIK 184HHonors: Software Development Essentials4
RAIK 283HHonors: Foundations of Computer Science3
RAIK 383HHonors: Fundamentals of Software Engineering3
CSCE 230Computer Organization4
CSCE 236Embedded Systems3
CSCE 251Unix Programming Environment1
CSCE 335Digital Logic Design3
CSCE 440Numerical Analysis I3
CSCE 351Operating System Kernels3
CSCE 462Communication Networks3
Total Credit Hours34

Senior Design Experience (6 hrs)

CSCE 488 Computer Engineering Professional Development (or RAIK 381H Honors: Advanced Topics in Business I or RAIK 382H Honors: Advanced Topics in Business II), and CSCE 489 Computer Engineering Senior Design Project (or RAIK 402H Honors: RAIK Design Studio II or RAIK 404H Honors: RAIK Design Studio IV). CSCE 488 and CSCE 489 are to be taken in consecutive semesters. Taking CSCE 488 also satisfies ACE outcome 8.

Double majors in electrical engineering may elect to take either of the senior design course sequences (CSCE 488 then CSCE 489 or ECEN 494 Capstone I then ECEN 495 Capstone II). Students not taking CSCE 488 must satisfy ACE outcome 8 with another course(s).

Technical Electives (15 hours)

In addition, students select 15 credit hours of technical electives with the focus areas option as described below.

A computer engineering major has the option of declaring a focus in one of the areas listed below. Students who, in addition to completing all computer engineering required courses listed above, receive a grade of C or better in each of the three technical elective courses from one focus area below, will receive a notice from the Department of Computer Science and Engineering stating that they received the degree bachelor of science in computer engineering with a focus in their chosen area(s). The focus areas are:

Embedded Systems and Robotics

CSCE 436Advanced Embedded Systems (required)3
CSCE 439Robotics: Algorithms and Applications3
or MECH 453 Robotics: Kinematics and Design
CSCE 430Computer Architecture3
CSCE 438Sensor Networks3
CSCE 476Introduction to Artificial Intelligence3
ECEN 477Digital Systems Organization and Design3

VLSI Design

CSCE 434VLSI Design (required)3
or ECEN 470 Digital and Analog VLSI Design
CSCE 421Foundations of Constraint Processing3
CSCE 430Computer Architecture3
ECEN 416Materials and Devices for Computer Memory, Logic, and Display3
ECEN 421Principles of Semiconductor Materials and Devices I3
ECEN 474Digital Systems3

Students choosing this focus area must take PHYS 213 General Physics III and PHYS 223 General Physics Laboratory III as the science requirement.

Signal Processing and Communications

ECEN 462Communication Systems3
ECEN 463Digital Signal Processing3
ECEN 464Digital Communication Systems3
ECEN 465Introduction to Data Compression3
CSCE 438Sensor Networks3
CSCE 463Data and Network Security3
CSCE 465Wireless Communication Networks3
CSCE 472Digital Image Processing3
CSCE 473Computer Vision3

High-Performance Computing

CSCE 430Computer Architecture (required)3
CSCE 432High-Performance Processor Architectures3
CSCE 435Cluster and Grid Computing3
CSCE 437File and Storage Systems3
CSCE 455Distributed Operating Systems3
CSCE 456Parallel Programming3

The 15 credit hours can be taken from exactly one focus area or from any combination of the focus areas courses plus 300- or 400-level CSCE, ECEN, and RAIK courses, but subject to the following restrictions:

  1. At least 9 hours must be taken from CSCE and/or cross-listed courses in RAIK (namely, RAIK 384H Honors: Applied Numerical Analysis, RAIK 401H Honors: RAIK Design Studio IRAIK 402H Honors: RAIK Design Studio II, RAIK 403H Honors: RAIK Design Studio III, and RAIK 404H Honors: RAIK Design Studio IV).
  2. At least 9 hours must be taken at the 400 level.
  3. CSCE 390 Special Topics in Computer Science and CSCE 490 Special Topics in Computer Science have been pre-designated as not applying to the major and cannot count as technical electives.
  4. At most, 3 hours of independent study (CSCE 498 Computer Problems, ECEN 399 Undergraduate Research, ECEN 499 Capstone II) may apply.
  5. At most, 6 hours of internship/practicum courses (CSCE 491 Internship in Computing Practice, CSCE 493 Innovation Lab ProjectRAIK 401H, RAIK 402H, RAIK 403H, RAIK 404H) may apply.
  6. ECEN 494 Capstone I and ECEN 495 Capstone II may not apply (however, these may be substituted for CSCE 488 Computer Engineering Professional Development and CSCE 489 Computer Engineering Senior Design Project).

Electrical Engineering (17 hours)

ECEN 215Electronics and Circuits I3
ECEN 216Electronics and Circuits II3
ECEN 235Introductory Electrical Laboratory I1
ECEN 236Introductory Electrical Laboratory II1
ECEN 304Signals and Systems I3
ECEN 305Probability Theory and Statistics for Electrical and Computer Engineers3
ECEN 316Electronics and Circuits III3
Total Credit Hours17

Mathematics (19 hours)

MATH 106Calculus I5
MATH 107Calculus II4
MATH 208Calculus III4
MATH 221Differential Equations3
MATH 314Linear Algebra3
Total Credit Hours19

Science (12-13 hours)

PHYS 211General Physics I4
PHYS 212General Physics II4
CHEM 109General Chemistry I4-5
or PHYS 213
PHYS 223
General Physics III
and General Physics Laboratory III
Total Credit Hours12-13

Other Supporting Courses (21 hours)

Open Elective3
ENGR 20Sophomore Engineering Seminar0
JGEN 200Technical Communication I3
Select one of the following:3
Interpersonal Skills for Engineering Leaders
Technical Communication II
Business and Professional Communication
ACE 5, 6, 7, 912
Total Credit Hours21

Program Assessment. In order to assist the department in evaluating the effectiveness of its programs, majors will be required in their senior year to complete a written exit survey. Results of that participation will in no way affect a students GPA or graduation.

Additional Major Requirements

Grade Rules

C- and D Grades

Applicants for formal admission to computer engineering must meet the usual college requirements plus a minimum grade rule on the following core courses (or their equivalents).

Grades of C+ or higher in:
 

CSCE 155AComputer Science I3
CSCE 155HHonors: Computer Science I3
CSCE 155EComputer Science I: Systems Engineering Focus3
CSCE 155NComputer Science I: Engineering and Science Focus3
CSCE 155TComputer Science I: Informatics Focus3
CSCE 156Computer Science II4
CSCE 230Computer Organization4
CSCE 235Introduction to Discrete Structures3
MATH 106Calculus I5
ECEN 215Electronics and Circuits I3
ECEN 235Introductory Electrical Laboratory I1
MATH 107Calculus II4
MATH 208Calculus III4
PHYS 211General Physics I4
PHYS 212General Physics II4

Requirements for Minor Offered by Department

Minor in Software Development

For non-CSCE majors: 15 hours of the following sequence of CSCE courses:
 

CSCE 120Learning to Code3
CSCE 220Software Development for Smart-Mobile Systems3
CSCE 320Data Analysis3
CSCE 311Data Structures and Algorithms for Informatics3
or CSCE 464 Internet Systems and Programming
CSCE 493Innovation Lab Project3
Total Credit Hours15

For more information, contact CSE advisors.

Grade Rules

Pass/No Pass

Credits earned using the Pass/No Pass options do not count toward this minor.

Restrictions

A course taken to meet the requirement of a major cannot be counted towards this minor.

This minor is not open to computer science or computer engineering majors.

CSCE100
Introduction to Informatics

Prerequisites: Placement in to MATH 101 or higher

This course should not be taken by majors in Computer Science or Computer 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
Course Format:LEC

Credit Hours:3

ACE:

CSCE101
Fundamentals of Computer Science

Prerequisites: High School algebra and use of computing applications

CSCE 101 is intended for non-CSCE majors who desire a deeper understanding of computers and the work of computer scientists. CSCE 101 is a course in the science of computation and is suitable for non-CSCE majors and prospective CSCE majors.

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
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.

Will not count towards the requirements for a major or minor in computer science and computer 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
Course Format:LAB

Credit Hours:1

ACE:

CSCE120
Learning to Code

Prerequisites: Placement in to MATH 101 or higher

This course should not be taken by majors in Computer Science or Computer 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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE155A
Computer Science I

Prerequisites: Appropriate score on the CSE Placement Exam or CSCE101; MATH 103 or equivalent

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

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

This course is a prerequisite for: CSCE 230; CSCE 230H; CSCE 235, CSCE 235H; CSCE 311; ECEN 224; MECH 300; MECH 350

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:3

ACE:ACE 3 Math/Stat/Reasoning

CSCE155E
Computer Science I: Systems Engineering Focus

Prerequisites: Appropriate score on the CSE Placement Exam or CSCE 101; MATH 103 or equivalent

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

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
Course Format:LEC
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 the University Honors Program or by invitation; appropriate score on the CSE Placement Exam or CSCE101; MATH 103 or equivalent

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

Description: For course description, see CSCE 155A.

This course is a prerequisite for: CSCE 230; CSCE 230H; CSCE 235, CSCE 235H; CSCE 311; ECEN 224; MECH 300; MECH 350

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
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: Appropriate score on the CSE Placement Exam or CSCE101; MATH 103 or equivalent

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
Course Format:LEC
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:3

ACE:ACE 3 Math/Stat/Reasoning

CSCE155T
Computer Science I: Informatics Focus

Prerequisites: Appropriate score on the CSE Placement Exam or CSCE101; MATH 103 or equivalent

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

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

This course is a prerequisite for: CSCE 230; CSCE 230H; CSCE 235, CSCE 235H; CSCE 311; ECEN 224; MECH 300; MECH 350

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:3

ACE:ACE 3 Math/Stat/Reasoning

CSCE156
Computer Science II

Prerequisites: Appropriate score on the CSE Placement Exam or a grade of "P" or "C" or better in CSCE 155A, CSCE155E, CSCE 155H, CSCE 155N, or CSCE 155T; Math 106 or parallel

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.

This course is a prerequisite for: CSCE 310, CSCE 310H; CSCE 322; CSCE 378; SOFT 162

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Course Format:LEC
ACE Outcomes: ACE 3 Math/Stat/Reasoning

Credit Hours:4

ACE:ACE 3 Math/Stat/Reasoning

CSCE156H
Honors: Computer Science II

Prerequisites: Good standing in the University Honors Program or by invitation; appropriate score on CSE Placement Exam or a grade of "P" or "C" or better in CSCE 155 or 155H; MATH 106 or parallel

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

Description: For course description, see CSCE 156.

This course is a prerequisite for: CSCE 310, CSCE 310H; CSCE 322; CSCE 378; SOFT 162

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Course Format:LEC

Credit Hours:4

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: ECON 215; MATH 380, MATH 380H, STAT 380, STAT 380H, RAIK 270H; MRKT 350; SCMA 250

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Course Format:LEC
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.CSCE 184H

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
Course Format:LEC

Credit Hours:4

ACE:

CSCE190
Special Topics in Computer Science

Prerequisites: Permission.

Topics will vary. CSCE 190 will not count towards a major or minor in computer science and computer engineering.

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
Course Format:LEC

Credit Hours:1-3

ACE:

CSCE196
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
Course Format:LEC

Credit Hours:1-3

ACE:

CSCE220
Software Development for Smart-Mobile Systems

Prerequisites: CSCE 120

Second course in a sequence for the minor in Software Development. This course should not be taken by majors in Computer Science or Computer Engineering.

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE230
Computer Organization

Prerequisites: A grade of 'P' or 'C' or better in CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, CSCE 155T, or SOFT 160 or equivalent knowledge of a high-level programming language.

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 322; CSCE 438, CSCE 838; ECEN 220

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Course Format:LEC
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship

Credit Hours:4

ACE:ACE 8 Civic/Ethics/Stewardship

CSCE230H
Honors: Computer Organization

Prerequisites: Good standing in the University Honors Program or by invitation; a grade of 'P' or 'C' or better in CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, CSCE 155T, or SOFT 160 or equivalent knowledge of a high-level programming language.

CSCE 230H covers the same topics as CSCE 230, but in greater depth. Laboratories supplement the lecture material and give an opportunity to practice concepts.

Description: For course description, see CSCE 230.

This course is a prerequisite for: CSCE 322; CSCE 438, CSCE 838; ECEN 220

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Course Format:LEC
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship

Credit Hours:4

ACE:ACE 8 Civic/Ethics/Stewardship

CSCE231
Computer Systems Engineering

Prerequisites: Grade of "Pass" or "C" or better in CSCE 235 or CSCE 235H.

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.

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Course Format:LEC

Credit Hours:4

ACE:

CSCE235
Introduction to Discrete StructuresCrosslisted with CSCE 235H

Prerequisites: Good Standing in UNL Honors Program or by invitation; grades of 'P' or 'C' or better in CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, or CSCE 155T: MATH 106/106H or equivalent.

Description: For course description, see CSCE235.

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

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE235H
Introduction to Discrete StructuresCrosslisted with CSCE 235

Prerequisites: Good Standing in UNL Honors Program or by invitation; grades of 'P' or 'C' or better in CSCE 155A, CSCE 155E, CSCE 155H, CSCE 155N, or CSCE 155T: MATH 106/106H or equivalent.

Description: For course description, see CSCE235.

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

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE236
Embedded Systems

Prerequisites: CSCE 230

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE251
Unix Programming Environment

Prerequisites: 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
Course Format:LEC

Credit Hours:1

ACE:

CSCE251K
C Programming

Prerequisites: Familiarity with one high-level programming language.

Description: Introduction to the C programming language.

Course details
Credit Hours:1
Max credits per semester:1
Max credits per degree:1
Course Format:LAB

Credit Hours:1

ACE:

CSCE252A
FORTRAN Programming

Prerequisites: Familiarity with one high-level programming language.

Credit towards the degree maybe earned in only one of: CSCE 155E or CSCE 155N or CSCE 155T or CSCE 252A.

Description: Principles and practice of FORTRAN programming.

Course details
Credit Hours:1
Max credits per semester:1
Max credits per degree:1
Course Format:LEC

Credit Hours:1

ACE:

CSCE283H
Honors: Foundations of Computer ScienceCrosslisted with RAIK 283H

Prerequisites: Good standing in the University Honors Program; admission to the Jeffrey S. Raikes School of Computer Science and Management; and CSCE/RAIK 184H.

Description: Advanced data structures and algorithms that solve common problems and standard approaches to solving new problems. Analysis and comparison of algorithms, asymptotic notation and proofs of correctness. Discrete mathematics. Induction and principles of counting and combinatorics as foundation for analysis.

This course is a prerequisite for: CSCE 411H, RAIK 411H; CSCE 476H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE284H
Honors: Foundations of Computer SystemsCrosslisted with RAIK 284H

Prerequisites: Good standing in the University Honors Program; admission to the Jeffrey S. Raikes School of Computer Science and Management; and CSCE/RAIK 283H.

Description: Introduction to fundamental organization and structure of computer systems. Boolean logic, data representation, processor organization, input/output, memory organization, system support software and communication.

This course is a prerequisite for: RAIK 401H

Course details
Credit Hours:4
Max credits per semester:4
Max credits per degree:4
Course Format:LEC

Credit Hours:4

ACE:

CSCE290
Special Topics in Computer Science

Prerequisites: Permission.

Topics vary. CSCE 290 will not count towards a major or minor in computer science and computer engineering.

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
Course Format:LEC

Credit Hours:1-3

ACE:

CSCE296
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
Course Format:LEC

Credit Hours:1-3

ACE:

CSCE310
Data Structures and AlgorithmsCrosslisted with CSCE 310H

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 235/235H.

Description: For course description, see CSCE310.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE310H
Data Structures and AlgorithmsCrosslisted with CSCE 310

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 235/235H.

Description: For course description, see CSCE310.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

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, or SOFT 160.

CSE majors must take CSCE 310. Students may not receive credit for both CSCE310 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
Course Format:LEC

Credit Hours:3

ACE:

CSCE320
Data Analysis

Prerequisites: CSCE 220

This course should not be taken by majors in Computer Science or Computer 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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE322
Programming Language Concepts

Prerequisites: CSCE 156, SOFT 161 or CSCE 311; CSCE 230.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE322H
Honors: Programming Language Concepts

Prerequisites: Good Standing in UNL Honors Program or by invitation; CSCE156/CSCE156H or CSCE311, CSCE230/CSCE230H

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE335
Digital Logic DesignCrosslisted with ECEN 370

Prerequisites: ECEN 121/(UNO) ECEN 1210 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

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE351
Operating System Kernels

Prerequisites: CSCE 230; CSCE 310 or CSCE 311

Lab content reinforces concepts through practice.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE361
Software EngineeringCrosslisted with CSCE 361H

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

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 486

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE361H
Software EngineeringCrosslisted with CSCE 361

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

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 486

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE370H
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
Course Format:LEC
Offered:FALL/SPR

Credit Hours:3

ACE:

CSCE378
Human-Computer Interaction

Prerequisites: CSCE 156, SOFT 161, or CSCE 311.

MATH/STAT 380 or ELEC 305 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
Course Format:LEC

Credit Hours:3

ACE:

CSCE378H
Honors: Human-Computer Interaction

Prerequisites: CSCE 310, CSCE 311, SOFT 260, or CSCE 283H; Good standing in the University Honors Program or by instructor permission.

CSCE 378H covers the same topics as CSCE 378, but in greater depth.

Description: For course description, see CSCE 378.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE383H
Honors: Fundamentals of Software EngineeringCrosslisted with RAIK 383H

Prerequisites: Good standing in the University Honors Program; admission to the Jeffrey S. Raikes School of Computer Science and Management; CSCE/RAIK 284H.

Description: Proper principles and methods of engineering software. Requirements, design, implementation, management and software evolution.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE384H
Honors: Applied Numerical AnalysisCrosslisted with RAIK 384H

Prerequisites: Good standing in the University Honors Program; admission to the Jeffrey S. Raikes School of Computer Science and Management; and CSCE/RAIK 284H; parallel BSAD/RAIK 382H.

Description: Application of established numerical analysis techniques to selected business and finance problems, finite difference applied to standard options or stochastic processes in modeling financial markets.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE390
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
Course Format:LEC

Credit Hours:1-3

ACE:

CSCE396
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
Course Format:LEC

Credit Hours:1-3

ACE:

CSCE399H
Honors Thesis

Prerequisites: Open to students in the honors program and to candidates for degrees with distinction, with high distinction, and with highest distinction.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:IND

Credit Hours:3

ACE:

CSCE401H
Honors: RAIK Design Studio ICrosslisted with SOFT 401H

Prerequisites: Good standing in the University Honors Program or by invitation; admission to the Jeffrey S. RaikesSchool of Computer Science and Management; BSAD/RAIK 282H; and CSCE/RAIK 284H.

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

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship

Credit Hours:3

ACE:ACE 8 Civic/Ethics/Stewardship

CSCE402H
Honors: RAIK Design Studio IICrosslisted with 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; and BSAD/CSCE/SOFT/RAIK 401H.

Second 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.

This course is a prerequisite for: RAIK 403H

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE403H
RAIK Design Studio IIICrosslisted with SOFT 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

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE404H
Honors: RAIK Design Studio IVCrosslisted with SOFT 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
Course Format:LEC

Credit Hours:3

ACE:

CSCE410
Information Retrieval SystemsCrosslisted with CSCE 810

Prerequisites: CSCE 310, SOFT 260, or CSCE 311.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE411
Data Modeling for Systems DevelopmentCrosslisted with CSCE 811

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, or CSCE 311.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE411H
Honors: Data Modeling for Systems DevelopmentCrosslisted with RAIK 411H

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, CSCE 311, or CSCE 283H. Good standing in the University Honors Program.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE412
Data VisualizationCrosslisted with CSCE 812

Prerequisites: CSCE 310, CSCE 310H or CSCE 311; 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
Course Format:LEC
Offered:FALL/SPR

Credit Hours:3

ACE:

CSCE413
Database SystemsCrosslisted with CSCE 813

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, or CSCE 311

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE421
Foundations of Constraint ProcessingCrosslisted with CSCE 821

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE423
Design and Analysis of AlgorithmsCrosslisted with CSCE 823

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE424
Computational Complexity TheoryCrosslisted with CSCE 824

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE425
Compiler ConstructionCrosslisted with CSCE 825

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE428
Automata, Computation, and Formal LanguagesCrosslisted with CSCE 828

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE430
Computer ArchitectureCrosslisted with CSCE 830

Prerequisites: CSCE 230; SOFT 260, CSCE 310, CSCE 310H, or CSCE 311; Prereq or Coreq: MATH/STAT 380 or ELEC 305.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE432
High-Performance Processor ArchitecturesCrosslisted with CSCE 832

Prerequisites: CSCE 430; MATH 314; MATH/STAT 380 or ELEC 305

CSCE 432 assumes knowledge of computer architecture, pipelining, memory hierarchy, instruction level parallelism, and compiler principles.

Description: High performance computing at the processor level. The underlying principles and micro-architectures of contemporary high-performance processors and systems. State-of the-art architectural approaches to exploiting instruction level parallelism for performance enhancements. Case studies of actual systems highlight real-world trade-offs and theories.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE434
VLSI DesignCrosslisted with CSCE 834

Prerequisites: CSCE 335 or permission.

Description: Introduction to VLSI design using metal-oxide semiconductor (MOS) devices primarily aimed at computer science majors with little or no background in the physics or circuitry of such devices. Includes design of nMOS and CMOS logic, data-path, control unit, and highly concurrent systems as well as topics in design automation.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE435
Cluster and Grid ComputingCrosslisted with CSCE 835

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, or CSCE 311 or equivalent programming experience.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE436
Advanced Embedded SystemsCrosslisted with CSCE 836

Prerequisites: CSCE 236; SOFT 260, CSCE 310, CSCE 310H, CSCE 311, or equivalent; senior/graduate standing.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE437
File and Storage SystemsCrosslisted with CSCE 837

Prerequisites: CSCE 351 or 451/851; CSCE 430/830.

Description: System-level and device-level topics in the design, implementation, and use of file and storage systems. Components and organization of storage systems, disk drive hardware and firmware, multi-disk systems, RAID's, local distributed and P2P file systems, and low-power design.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE438
Sensor NetworksCrosslisted with CSCE 838

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

Description: Basics of sensor networks; theoretical and practical insight into wireless sensor networks, including low-power hardware and wireless communication principles; networking in wireless sensor networks; and applications of sensor networks, such as multimedia, underwater, and underground. A group project that provides hands-on interaction with a wireless sensor network testbed.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE439
Robotics: Algorithms and ApplicationsCrosslisted with CSCE 839

Prerequisites: CSCE 236 or ELEC 222; SOFT 260, CSCE 310, CSCE 310H, CSCE 311 or equivalent programming experience; MATH 314; senior/graduate standing or instructor permission.

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
Course Format:LEC

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE441
Approximation of FunctionsCrosslisted with CSCE 841, MATH 441, MATH 841

Prerequisites: MATH 221 and 314

Description: Polynomial interpolation, uniform approximation, orthogonal polynomials, least-first-power approximation, polynomial and spline interpolation, approximation and interpolation by rational functions.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
Groups:Advanced Mathematics Courses

Credit Hours:3

ACE:

CSCE447
Numerical Linear AlgebraCrosslisted with CSCE 847, MATH 447, MATH 847

Prerequisites: MATH 314

Description: Mathematics and algorithms for numerically stable matrix and linear algebra computations, including solution of linear systems, computation of eigenvalues and eigenvectors, singular value decomposition, and QR decomposition.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
Groups:Advanced Mathematics Courses

Credit Hours:3

ACE:

CSCE451
Operating Systems PrinciplesCrosslisted with CSCE 851

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE456
Parallel ProgrammingCrosslisted with CSCE 856

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, CSCE 311 or equivalent programming experience.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE457
Systems AdministrationCrosslisted with CSCE 857

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, CSCE 311 or equivalent programming experience.

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
Course Format:LEC

Credit Hours:3

ACE:

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

Prerequisites: CSCE 361, CSCE 361H or SOFT 261

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE462
Communication NetworksCrosslisted with CSCE 862

Prerequisites: CSCE 230; SOFT 260, CSCE 310, CSCE 310H, or CSCE 311; MATH/STAT 380 or ELEC 305.

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE463
Data and Network SecurityCrosslisted with CSCE 863

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, or CSCE 311.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE464
Internet Systems and ProgrammingCrosslisted with CSCE 864

Prerequisites: CSCE 156, SOFT 161, CSCE 311, or CSCE 320 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
Course Format:LEC

Credit Hours:3

ACE:

CSCE465
Wireless Communication NetworksCrosslisted with CSCE 865

Prerequisites: CSCE 230; SOFT 260, CSCE 310, CSCE 310H, or CSCE 311; MATH/STAT 380 or ELEC 305; or instructor permission

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE466
Software Design and ArchitectureCrosslisted with SOFT 466, CSCE 866

Prerequisites: SOFT 261 or CSCE 361 or equivalent

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
Course Format:LEC

Credit Hours:3

ACE:

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

Prerequisites: SOFT 261 or CSCE 361 or equivalent

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
Course Format:LEC

Credit Hours:3

ACE:

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

Prerequisites: SOFT 261 or CSCE 361 or equivalent

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE470
Computer GraphicsCrosslisted with CSCE 870

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE471
Introduction to BioinformaticsCrosslisted with CSCE 871

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, or CSCE 311; MATH/STAT 380

Description: Fundamentals and trends in bioinformatics. Scoring matrices and pairwise sequence alignments via dynamic programming, BLAST, and other heuristics. Multiple sequence alignments. Applications of machine learning methods such as hidden Markov models and support vector machines to biological problems such as family modeling and phylogeny.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE472
Digital Image ProcessingCrosslisted with CSCE 872

Prerequisites: CSCE 156, SOFT 161, 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
Course Format:LEC

Credit Hours:3

ACE:

CSCE473
Computer VisionCrosslisted with CSCE 873

Prerequisites: CSCE 156, SOFT 161, 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
Course Format:LEC

Credit Hours:3

ACE:

CSCE474
Introduction to Data MiningCrosslisted with CSCE 874

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, or CSCE 311; MATH/STAT 380

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE475
Multiagent SystemsCrosslisted with CSCE 875

Prerequisites: CSCE 156, SOFT 161, or CSCE 311

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE476
Introduction to Artificial IntelligenceCrosslisted with CSCE 876

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, or CSCE 311

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE476H
Honors: Introduction to Artificial Intelligence

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, CSCE 311, or CSCE 283H; Good standing in the University Honors Program or by instructor permission.

CSCE 476H covers the same topics as CSCE 476, but in greater depth.

Description: For course description, see CSCE 476.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE477
Cryptography and Computer SecurityCrosslisted with CSCE 877

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE478
Introduction to Machine LearningCrosslisted with CSCE 878

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, or CSCE 311.

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
Course Format:LEC

Credit Hours:3

ACE:

CSCE479
Introduction to Neural NetworksCrosslisted with CSCE 879

Prerequisites: CSCE 310 or CSCE 311

Description: Introduction to the concepts, design and application of connection-based computing begins by simulating neural networks, focusing on competing alternative network architectures, including sparse distributed memories, Hopfield networks, and the multilayered feed-forward systems. Construction and improvement of algorithms used for training of neural networks addressed to reduce training time and improve generalization. Algorithms for training and synthesizing effective networks implemented in high level language programs running on conventional computers. Emphasis on methods for synthesizing and simplifying network architectures for improved generalization. Application areas include: pattern recognition, computer vision, robotics medical diagnosis, weather and economic forecasting.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours:3

ACE:

CSCE486
Computer Science Professional Development

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

CSCE 486 must be taken exactly one semester before CSCE 487.

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship

Credit Hours:3

ACE:ACE 8 Civic/Ethics/Stewardship

CSCE487
Computer Science Senior Design Project

Prerequisites: CSCE 486 (taken exactly one semester previous)

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
ACE Outcomes: ACE 10 Integrated Product

Credit Hours:3

ACE:ACE 10 Integrated Product

CSCE488
Computer Engineering Professional Development

Prerequisites: CSCE 236; 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.

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.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC
ACE Outcomes: ACE 8 Civic/Ethics/Stewardship

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
Course Format:LEC
ACE Outcomes: ACE 10 Integrated Product

Credit Hours:3

ACE:ACE 10 Integrated Product

CSCE490
Special Topics in Computer ScienceCrosslisted with CSCE 890

Prerequisites: Permission.

CSCE 490/890 will not count toward 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
Course Format:LEC

Credit Hours:1-3

ACE:

CSCE491
Internship in Computing Practice

Prerequisites: SOFT 260, CSCE 310, CSCE 310H, or CSCE 311

CSCE 491 requires a detailed project proposal and final report.

Description: Experiental 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
Course Format:FLD

Credit Hours:1-3

ACE:

CSCE493
Innovation Lab Project

Prerequisites: CSCE310, CSCE310H, CSCE311, or CSCE320

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
Course Format:LEC

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
Course Format:LEC

Credit Hours:1-3

ACE:

CSCE496
Special Topics in Computer ScienceCrosslisted with CSCE 896

Prerequisites: Senior 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
Course Format:LEC

Credit Hours:1-3

ACE:

CSCE496H
Honors: Special Topics in Computer Science

Prerequisites: Good standing in the University Honors Program or by invitation; specific course prerequisites will vary depending on the topic.

Course details
Credit Hours:3
Max credits per semester:3
Max credits per degree:3
Course Format:LEC

Credit Hours: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
Course Format:IND

Credit Hours:1-6

ACE:

PLEASE NOTE
This document represents a sample 4-year plan for degree completion with this major. Actual course selection and sequence may vary and should be discussed individually with your college or department academic advisor. Advisors also can help you plan other experiences to enrich your undergraduate education such as internships, education abroad, undergraduate research, learning communities, and service learning and community-based learning.

Career Information

The following represents a sample of the internships, jobs and graduate school programs that current students and recent graduates have reported.

Jobs of Recent Graduates

  • Construction Engineer, Olsson Associates - Omaha NE
  • Project Engineer, JE Dunn Construction - Denver CO
  • Assistant Project Manager, Adolfson Peterson Construction - Aurora CO
  • Project Engineer, Team Industrial - Omaha NE
  • Project Engineer, Darland Construction Co. - Omaha NE

Internships

  • Intern, The Whiting-Turner Contracting Company - Boston MA
  • Intern, The Department of Design and Construction - New York NY
  • Project Management Intern, Cheever Construction Company - Lincoln NE
  • Field Technician, Thiele Geotech Inc. - Omaha NE
  • Field Engineer, Kiewit - Phoenix AZ