Students must choose Option 1 or Option 2 for the Analytical Reasoning domain:

- Option 1: Take 6 credit hours of college math from List A.
- Option 2: Take 3 credit hours of college math from List A and 3 credit hours from List B.

Students must choose Option 1 or Option 2 for the Analytical Reasoning domain:

- Option 1: Take 6 credit hours of college math from List A.
- Option 2: Take 3 credit hours of college math from List A and 3 credit hours from List B.

Instructors teaching courses in the Analytical Reasoning domain include at least half of the following learning goals so students can successfully complete this general education core requirement.

Upon completion of the course, students will be able to:

- Interpret information that has been presented in mathematical form (e.g., with functions, equations, graphs, diagrams, tables, words, geometric figures)
- Represent information/data in mathematical form as appropriate (e.g., ,with functions, equations, graphs, diagrams, tables, words, geometric figures)
- Demonstrate skill in carrying out mathematical (e.g., algebraic, geometric, logical, statistical) procedures flexibly, accurately, and efficiently to solve problems
- Analyze mathematical arguments, determining whether stated conclusions can be inferred
- Communicate which assumptions have been made in the solution process
- Analyze mathematical results in order to determine the reasonableness of the solution
- Cite the limitations of the process where applicable
- Clearly explain the representation, solution, and interpretation of the math problem

COURSE | COURSE TITLE |

MATH 13000 | Mathematics for Elementary Teachers I |

MATH 13100 | Mathematics for Elementary Teachers II |

MATH 13200 | Mathematics for Elementary Teachers III |

MATH 13600 | Mathematics for Elementary Teachers |

MATH 15300 | College Algebra |

MATH 15400 | Trigonometry |

MATH 15900 | Precalculus |

MATH 16500 | Analytic Geometry and Calculus I |

MATH 22100 | Calculus for Technology 1 |

MATH 22200 | Calculus for Technology 2 |

MATH 23100 | Calculus for the Life Sciences I |

MATH 23200 | Calculus for the Life Sciences II |

MATH 24100 | Calculus for Data Science I |

MATH 24200 | Calculus for Data Science II |

MATH 24300 | Linear Algebra for Data Science |

MATH-M 118 | Finite Mathematics |

MATH-M 119 | Brief Survey of Calculus 1 |

MATH-S 165 | Honors Analytic Geometry and Calculus I |

COURSE | COURSE TITLE |

MATH 16600 | Analytic Geometry and Calculus II |

MATH-S 166 | Honors Analytic Geometry and Calculus II |

COURSE | COURSE TITLE |

CIT 12000 | Quantitative Analysis I |

CSCI 23000 | Computing I |

CSCI-N 200 | Principles of Computer Science |

CSCI-N 201 | Programming Concepts |

CSCI-N 207 | Data Analysis Using Spreadsheets |

CSCI-N 211 | Introduction to Databases |

ECON-E 270 | Introduction to Statistical Theory in Economics and Business |

HIM-M 200 | Database Design for Health Information Management |

INFO-I 101 | Introduction to Informatics |

INFO-I 201 | Mathematical Foundations to Informatics |

INFO-I 210 | Information Infrastructure I |

INFO-I 223 | Data Fluency |

NURS-H 355 | Data Analysis for Practice and Research |

PBHL-A 215 | Storytelling with Data |

PBHL-B 300 | Introduction to Biostatistics |

PHIL-P 208 | Causality and Evidence |

PHIL-P 265 | Introduction to Symbolic Logic |

PSY-B 305 | Statistics |

SOC-R 359 | Introduction to Sociological Stats |

SPEA-K 300 | Statistical Techniques |

STAT 30100 | Elementary Statistical Methods I |

SWK-S 372 | Statistical Reasoning in Social Work |

COURSE | COURSE TITLE | EFFECTIVE DATE |

ECE 26100 | Engineering Programming Lab | Fall 2019 |

ECE 26300 | Introduction to Computing in Electrical Engineering | Spring 2019 |

ECON-E 280 | Applied Statistics for Business and Economics 1 (IUPUC course only) | Spring 2019 |

ENGR 19700 | Introduction to Programming Concepts | Fall 2022 |

IET 15000 | Quantitative Methods for Technology | Fall 2020 |