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-I 130 | Mathematics for Elementary Teachers I |

MATH-I 131 | Mathematics for Elementary Teachers II |

MATH-I 132 | Mathematics for Elementary Teachers III |

MATH-I 136 | Mathematics for Elementary Teachers |

MATH-I 153 | College Algebra |

MATH-I 154 | Trigonometry |

MATH-I 159 | Precalculus |

MATH-I 165 | Analytic Geometry and Calculus I |

MATH-I 221 | Calculus for Technology 1 |

MATH-I 222 | Calculus for Technology 2 |

MATH-I 231 | Calculus for the Life Sciences I |

MATH-I 232 | Calculus for the Life Sciences II |

MATH-I 241 | Calculus for Data Science I |

MATH-I 242 | Calculus for Data Science II |

MATH-I 243 | 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-I 166 | Analytic Geometry and Calculus II |

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

COURSE | COURSE TITLE |

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-I 301 | Elementary Statistical Methods I |

SWK-S 372 | Statistical Reasoning in Social Work |

COURSE | COURSE TITLE | EFFECTIVE DATE |

CIT 12000 | Quantitative Analysis I | Fall 2024 |

CSCI 23000 | Computing I | Fall 2024 |

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 (IU Columbus course only) | Spring 2019 |

ENGR 19700 | Introduction to Programming Concepts | Fall 2022 |

IET 15000 | Quantitative Methods for Technology | Fall 2020 |