Course Descriptions

• 1000 Level
• 2000 Level
• 3000 Level
• 4000 Level
• 5000 Level
• 6000 Level
• 7000 Level

The courses described below are offered by the Department of Mathematical Sciences of the McMicken College of Arts & Sciences, University of Cincinnati. These descriptions should not be construed as syllabi for the courses. Each description includes the course name, the course number, credit hours, prerequisites* and/or co-requisites, and textbook title(s), when available. See the Course Planning Guide for when courses are offered.

*Prerequisite Policy: A minimum grade of C- is required to satisfy a prerequisite for any MATH or STAT course.  To see a visual display of which courses are prereqs for other courses, see the Math Continuum.

• Each course number is eight characters plus a three-digit section number. The first four characters specify the Discipline. The Math Department offers MATH and STAT courses. The next four characters indicate the course numbers.
• Example: MATH1012 Mathematics in Management Science

• All 1000- and 2000-level courses will partially satisfy the Quantitative Reasoning (QR) Gen Ed requirement of the College of Arts & Sciences.

• Prerequisite: Minimum score of 300 on the Math Placement Test.
• Text: Intermediate Algebra (with MyMathLab), 1e by Messersmith (BOOK NOT REQUIRED)
• A mathematics developmental course that uses technology and individualized instruction to provide a review of basic, introductory, and intermediate algebra. It provides students with the necessary background and skills to be successful in entry-level college mathematics courses. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking.

• Prerequisite: A minimum score of 420 on the Math Placement Test recommended.
• Text: Thinking Mathematically (with MyMathLab), 5e by Blitzer (BOOK NOT REQUIRED)
• The course begins with a study of Polya's four-step problem solving method. We explore sets and use Venn's diagrams to discover properties of set operations. Students use this knowledge to model operations with numbers and analyze properties of different number systems. Students will use mathematical reasoning and the Polya problem solving process to solve various real world problems and interpret their solutions.

• Prerequisite: A minimum score of 420 on the Math Placement Test recommended.
• Text: Using and Understanding Mathematics: A Quantitative Reasoning Approach, 6e by Bennett & Briggs
• Project-based course, emphasizing problem-solving, model-building, and basic data manipulation in real world contexts. Topics include: problem-solving, statistical reasoning, linear and exponential modeling, and modeling with geometry.

• Prerequisite: A minimum score of 420 on the Math Placement Test recommended.
• Text: For All Practical Purposes w/Math Portal (custom), 10e by COMAP
• A quantitative reasoning course for students in the liberal arts. This course examines methods for planning, scheduling, designing routes, and optimizing the use of resources to meet business, government, and individual goals, via linear programming and algorithms that use graphs, networks, and diagrams to model real problems. Also, the course includes a brief introduction to cryptography and investigates mathematical methods to store and transmit information in a way that is accurate, secured, and economical

• Prerequisite: A minimum score of 420 on the Math Placement Test recommended.
• Text: For All Practical Purposes w/Math Portal (custom), 10e by COMAP
• A quantitative reasoning course for students in the liberal arts. Contains the study of voting systems and fair division, apportionment using divisor methods, and game theory.

• Prerequisite: Minimum score of 430 on the Math Placement Test or 25 on ACT-Math.
• Text: 
  • College Algebra with Modeling and Visualization, 5e by Rockswold 
  • College Algebra Workbook, v 2.1 by Bowen-Franz
• Study of linear, polynomial, rational, exponential, and logarithmic functions, systems of linear equations, systems of inequalities and modeling with functions.

• Prerequisite: Minimum score of 550 on the Math Placement Test or 26 on ACT-Math.
• Text: Trigonometry  (w/WebAssign) (not the hybrid), 2e by Stewart, Redlin, and Watson
• Preparation for students who need trigonometry for calculus and/or physics. Right triangle trigonometry, trigonometric functions and graphs, trigonometric identities, vectors, conic sections, polar coordinates.

• Prerequisite:
• Text: Reasoning with Functions I (2016) by The Dana Center

• Prerequisite:
• Text: No Book Needed

• Prerequisite: Minimum score of 550 on the Math Placement Test or 26 on ACT-Math.
• Text: Precalculus  (w/Enhanced WebAssign), 7e by Stewart, Redlin, and Watson
• Study of functions, equations and systems of equations, sequences and series, trigonometry, and vectors, and assumes prior exposure to these topics. This course helps prepare students for the 4 credit hour calculus sequence (MATH1061 and MATH1062).

• Prerequisite: Minimum score of 420 on the Math Placement Test strongly recommended.
• Text: The Basic Practice of Statistics for the Life Sciences, 3e by Baldi & Moore
• A one-semester comprehensive introduction to statistics suitable for students in biology, nursing, allied health, and applied science. Discussion of data, frequency distributions, graphical and numerical summaries, design of statistical studies, and probability as a basis for statistical inference and prediction. The concepts and practice of statistical inference including confidence intervals, one and two sample t-tests, chi-square tests, regression and analysis of variance, with attention to selecting the procedure(s) appropriate for the question and data structure, and interpreting and using the result.

• Prerequisite: At least 420 on the Math Placement Test strongly recommended.
• Text: Introduction to the Practice of Statistics, 9e by Moore, McCabe, and Craig
• An introduction to statistics for students without a calculus background. The course covers data analysis (numerical summaries and graphics for describing and displaying the distributions of numerical and categorical data), the basic principles of data collection from samples and experiments, elementary probability, the application of the normal distribution to the study of random samples, statistical estimation (construction and interpretation of one sample confidence intervals), and an introduction to hypothesis testing (the structure of one sample hypothesis tests and the logic of using them to make decisions).

• Prerequisite: STAT1034
• Text: Introduction to the Practice of Statistics, 9e by Moore, McCabe, and Craig
• An introduction to inferential statistics for students without a calculus background. The course covers one and two-sample hypothesis tests for means and proportions, chi-squared tests, linear regression, analysis of variance, and non-parametric tests based on ranks, with attention to selecting the procedure(s) appropriate for the question and data structure, and interpreting the results.

• Prerequisite: A minimum score of 570 on the Math Placement Test or 26 on ACT-Math.
• Text: Calculus Concepts  (w/WebAssign), 5e by Latorre et al
• The first part of a two semester sequence (MATH1044 and 1045) of courses on calculus appropriate for students in business and life sciences. Topics covered include functions, graphs, limits, continuity, properties of exponential and logarithmic functions, differentiation, curve sketching, optimization and the definite integral.a

• Prerequisite: MATH1044
• Text: Calculus Concepts  (w/WebAssign), 5e by Latorre et al
• The second part of a two semester sequence (MATH1044 and 1045) on calculus appropriate for students in business and life sciences. Topics covered include anti-differentiation, the fundamental theorem of calculus, functions of two variables, partial derivatives, maxima and minima, Lagrange multipliers and applications to probability and other areas.

• Prerequisite: A minimum score of 620 on the Math Placement Test or 27 on ACT-Math and must be in an academic program in the Lindner College of Business.
• Text: Calculus Concepts (w/WebAssign), 5e by Latorre et al
• This is an accelerated calculus course targeted at students in business and is appropriate for students with a strong background in college algebra and wishing to complete calculus in a single semester. Topics covered include functions, graphs, limits, continuity, properties of exponential and logarithmic functions, differentiation, curve sketching, optimization, the definite integral, anti-differentiation, the fundamental theorem of calculus, functions of two variables, partial derivatives, maxima and minima, Lagrange multipliers and applications to probability and other areas.

• Prerequisite: A minimum score of 700 on the Math Placement Test or 28 on ACT-Math.
• Text: Calculus: Early Transcendentals, 8e by Stewart
• The course is an integrated review of functions, equations and systems of equations, sequences and series, trigonometry, and vectors with a comprehensive study of limits and continuity, differentiation, applications of the derivative, optimization, anti-derivatives, fundamental theorem of calculus, definite and indefinite integrals.

• Prerequisite: A minimum score of 750 on the Math Placement Test or 29 on ACT-Math.
• Text: Calculus: Early Transcendentals, 8e by Stewart
• The first part of a three-semester sequence of courses on calculus (MATH1061, MATH1062, MATH2063) for students in engineering and science. Topics covered include functions, limits and continuity, differentiation, applications of the derivative, optimization, anti-derivatives, fundamental theorem of calculus, definite and indefinite integrals.

• Prerequisite: MATH1061
• Text: Calculus: Early Transcendentals, 8e by Stewart
• The second part of a three-semester sequence of courses on calculus (MATH1061, MATH1062, MATH2063) for students in engineering and science. Topics covered include techniques of integration, applications of the integral, sequences and series, and vectors.

• Prerequisite: A minimum of 570 on the Math Placement Test or 26 on ACT-Math.
• Text: Discrete Mathematics with Applications, 4e by Epp
• A course designed for students interested in information technology and programming that includes topics in logic, number systems, set theory, methods of proof, probability, logic networks, and graph theory.