Mathematical and Logical Reasoning

Mathematical and Logical Reasoning (6 credits)

One 3 credit course in mathematics or statistics and a second 3 credit course selected from mathematics, statistics, deductive logic, or computer science are required.

A student’s Math Level is indicated on their Advising Transcript. This video will show how to find your math level. If you do not have a Math Level listed on your Transcript, then you will need to take the Math Placement assessment.

Math is a great course to take in the first semester at Charlotte. Consult the Registration Guide for your major(s) of interest, consider your Math Placement level, and if needed, consult with an academic advisor about which math course to register for in your first semester.

Math Placement Levels

This chart shows which courses students can register for based on their Math Placement Level. Students can find some additional information in the FAQs on the Math Placement website.

Mathematics or Statistics

Select one of the following:

• MATH 1100 – College Algebra (3) – The basic mathematics course about the fundamental concepts of algebra for undergraduates not majoring in Mathematics, Engineering, or the Physical Sciences. (ML2)
• MATH 1101 – College Algebra with Workshop (4) – This course covers topics that are necessary for success in Pre-Calculus or Calculus courses. Topics include: functions and their graphs; composition and inverses; exponential, logarithmic, and polynomial functions. (ML1)
• MATH 1102 – Introduction to Mathematical Thinking (3) – An introduction to mathematical ideas designed primarily for non-science students. Topics are drawn from various branches of mathematics which may include algebra, geometry, number theory, probability, statistics and graph theory. Computers may be used. (ML1)
• MATH 1103 – Precalculus Mathematics for Science and Engineering (3) – Intended for students who plan to take MATH 1241. Functions and graphs, linear and quadratic functions, polynomial and rational functions, exponential and logarithmic functions, trigonometric identities. Students who already have credit for MATH 1120, MATH 1121, or MATH 1241 with grade of C or above may not take MATH 1103 for credit and a grade. (ML3) or Prereq: MATH 1100 or MATH 1101 with C or better
• MATH 1105 – Finite Mathematics (3) – Review of high school algebra, elementary matrix algebra, systems of linear equations and inequalities, elementary linear programming; probability.
• MATH 1120 – Calculus (3) – Intended for students majoring in fields other than engineering, mathematics or science. Elements of differential and integral calculus for polynomial, rational, exponential, logarithmic functions, with applications to business and the social and life sciences. May not be taken for credit and a grade if credit has been received for MATH 1121 or MATH 1241 with grade of C or above. (ML3) or Prereq: MATH 1100 or MATH 1103
• MATH 1121 – Calculus for Engineering Technology (3) – Intended for students majoring in Engineering Technology or Construction Management. Technical problem solutions utilizing analytical geometry and differential calculus. Topics include: limits, differentiation, curvilinear motion, related rates, optimization problems, and transcendental functions. May not be taken for credit and a grade if credit has been received for MATH 1120 or MATH 1241 with grade of C or above. (ML4) or Prereq: MATH 1103 with C or better
• MATH 1165 – Introduction to Discrete Structures (3) – Propositions and truth tables, sets, permutations and combinations, relations and functions, lattices, and trees. Prereq: ECGR 2103 or ITSC 1212
• MATH 1241 – Calculus I (3) – Designed for students majoring in Mathematics, Science, or Engineering. Elementary functions, derivatives and their applications, introduction to definite integrals. (ML4) or Prereq: MATH 1103 with C or better
• MATH 1242 – Calculus II (3) – Methods for evaluating definite integrals, applications of integration, improper integrals, infinite series, Taylor series, power series, and introduction to differential equations. Prereq: MATH 1241 with C or better
• MATH 1340 – Mathematics for Elementary Teachers I (3) – Develops elementary teachers’ understanding of essential concepts of real numbers and algebra. Students re-conceptualize their understanding of number systems, operations in these systems, and their properties. Helps develop students’ understanding of functions and their applications to real-life situations. Restricted to Elementary Education majors. (ML2)
• MATH 1341 – Mathematics for Elementary Teachers II (3) – Develops elementary teachers’ understanding of fundamental concepts of geometry, measurement, and data. Students re-conceptualize definitions and properties of polygons and polyhedral including the concepts of perimeter, area, surface area, volume, transformation, and congruence and similarity. Helps develop students’ understanding of the organization, representation, and analysis of data, measures of central tendency and variation, and basic concepts of probability. Restricted to Elementary Education majors. Prereq: MATH 1340
• STAT 1220 – Elements of Statistics I (BUSN) (3) – Non-calculus based introduction to data summarization, discrete and continuous random variables (e.g., binomial, normal), sampling, central limit theorem, estimation, testing hypotheses, and linear regression. Applications of theory will be drawn from areas related to business. May not be taken for credit if credit has been received for STAT 1221 or STAT 1222. (ML2) or Prereq: MATH 1100
• STAT 1221 – Elements of Statistics I (3) – Same topics as STAT 1220 with special emphasis on applications to the life sciences. May not be taken for credit and for a grade if credit has been received for STAT 1220 or STAT 1222. (ML2) or Prereq: MATH 1100
• STAT 1222 – Introduction to Statistics (3) – Same topics as STAT 1220 with special emphasis on applications to the social and behavioral sciences. May not be taken for credit and for a grade if credit has been received for STAT 1220 or STAT 1221. (ML1)
• STAT 1322 – Introduction to Statistics II (3) – A non-calculus based course on statistics. Topics include: confidence intervals, hypothesis testing, and linear regression. Special emphasis on applications to the social and behavioral sciences. Active learning techniques, group work, and projects. Prereq: STAT 1222 with C or better

Mathematics, Statistics, or Deductive Logic

• Select a second Mathematics or Statistics course from above
• ITSC 1110 – Introduction to Computer Science Principles (3) – A broad-based introduction to key concepts and principles of computer science. Exploration of seven big ideas of computing: creativity, abstraction, data, algorithms, programming, the Internet, and impact of computing.
• PHIL 2105 – Deductive Logic (3) – Principles of deductive logic, both classical and symbolic, with emphasis on the use of formal logic in analysis of ordinary language discourse.

You can find additional information about all General Education requirements in the catalog,