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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.
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: CSCE 101L
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom, Web
ACE Outcomes: 3
MATH 104
Prereqs: Appropriate score on the Math Placement Exam; or grade of P, C, or better in MATH 101, MATH 102 or MATH 103.
Credit for both MATH 104 and 106 is not allowed; students with previous credit in any version of Math 106, 107, or 208 may not earn credit for this course.
Rudiments of differential and integral calculus with applications to problems from business, economics, and social sciences.
Credit Hours: 3
Course Delivery: Classroom, Web
ACE Outcomes: 3
Groups: Introductory Mathematics Courses
MATH 106
Prereqs: Appropriate score on the Math Placement Exam; or grade of P, C, or better in MATH 102 or MATH 103
Credit for both MATH 104 and MATH 106 is not allowed.
Functions of one variable, limits, differentiation, exponential, trigonometric and inverse trigonometric functions, maximum-minimum, and basic integration theory (Riemann sums) with some applications.
Credit Hours: 5
Course Delivery: Classroom
ACE Outcomes: 3
Groups: Introductory Mathematics Courses
MATH 107
Prereqs: A grade of P, C or better in MATH 106.
Integration theory; techniques of integration; applications of definite integrals; series, Taylor series, vectors, cross and dot products, lines and planes, space curves.
Credit Hours: 4
Course Format: Lecture 5
Course Delivery: Classroom
ACE Outcomes: 3
Groups: Introductory Mathematics Courses
Prereqs: Good standing in the University Honors Program or by invitation; and a grade of "B" or better in MATH 106 or equivalent.
For course description, see MATH 107.
Credit Hours: 4
Course Format: Lecture 4
Course Delivery: Classroom
ACE Outcomes: 3
Groups: Introductory Mathematics Courses
Introduction to the principles of correct reasoning and their application. Emphasis on improving skills of thinking and reading critically, analyzing and evaluating arguments objectively, and constructing sound arguments based on relevant evidence.
Credit Hours: 3
Course Delivery: Classroom
ACE Outcomes: 3
CSCE 155A
Prereqs: MATH 102 or a Math Placement Test score for MATH 103 or higher.
Recommended for students majoring in computer science or computer engineering. Credit may be earned in only one CSCE 155 course.
Introduction to problem solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society.
Credit Hours: 3
Course Format: Lab 1, Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
Prereqs: MATH 102 or a Math Placement Test score for MATH 103 or higher.
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.
Introduction to problem solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society.
Credit Hours: 3
Course Format: Lab 1, Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
Prereqs: Good standing in UNL Honors Program; MATH 102 or a Math Placement Test score for MATH 103 or higher.
CSCE 155H covers the same topics as CSCE 155A, but in greater depth.
Introduction to problem solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society.
Credit Hours: 3
Course Format: Lab 1, Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
Prereqs: 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.
Introduction to problem solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society.
Credit Hours: 3
Course Format: Lab 1, Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
Prereqs: MATH 102 or a Math Placement Test score for MATH 103 or higher.
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.
Introduction to computers and problem-solving with computers. Topics include problem solving methods, software development principles, computer programming, and computing in society.
Credit Hours: 3
Course Format: Lab 1, Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
CSCE 183H
Prereqs: Good standing in the University Honors Program; admission to the Jeffrey S. Raikes School ofComputer Science and Management.
CSCE/RAIK 183H is the first course in the Jeffrey S. Raikes School of Computer Science and Management core. CSCE/RAIK 183H has programming laboratory activities.
Introduction to problem solving with computers. Problem analysis and specification, algorithm development, program design, and implementation. JAVA in a Windows platform.
Credit Hours: 4
Course Format: Lecture 3, Recitation 1
Course Delivery: Classroom
ACE Outcomes: 3
Prereqs: Good standing in the University Honors Program or by invitation; placement score on the Math Placement Examination (MPE) at the MATH 104-level or above.
A University Honors Seminar 189H is required of all students in the University Honors Program.
Topics vary.
Credit Hours: 3
Course Delivery: Classroom
ACE Outcomes: 3
Groups: Introductory Mathematics Courses
Not open to students with credit or concurrent enrollment in MATH 106 or MATH 203J.
Applications of quantitative reasoning and methods to problems and decision making in the areas of management, statistics, and social choice. Includes networks, critical paths, linear programming, sampling, central tendency, inference, voting methods, power index, game theory, and fair division problems.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
Groups: Introductory Mathematics Courses
MATH 203J
Prereqs: Must be admitted to the College of Journalism.
Not open to students with credit or concurrent enrollment in MATH 106 or MATH 203.
Applications of quantitative reasoning and methods to problems and decisions making in areas of particular relevance to College of Journalism and Mass Communication, such as governance, finance, statistics, social choice, and graphical presentation of data. Financial mathematics, statistics and probability (sampling, central tendency, and inference), voting methods, power index, and fair division problems.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
Groups: Introductory Mathematics Courses