Quantitative Reasoning Courses
All undergraduate degree students matriculating in Fall 2017 or later must meet a General Education requirement in quantitative reasoning. To meet this requirement, students must complete a course, curriculum, or co-curriculum prior to graduation that has been approved by the Faculty Senate's Quantitative Reasoning Curriculum Review Committee.
The following courses meet the quantitative reasoning requirement.
| BIOL 168 | Mathematics of Biology | 3 |
| BIOS 200 | Med Biostatistics&Epidemiology | 3 |
| BIOS 211 | Statistical Methods I | 3 |
| BIOS 221 | Statistical Methods II | 3 |
| BIOS 223 | Applied Multivariate Analysis | 3 |
| BIOS 229 | Survival/Logistic Regression | 3 |
| BIOS 235 | Categorical Data Analysis | 3 |
| BIOS 241 | Statistical Inference | 3 |
| BIOS 251 | Probability Theory | 3 |
| BIOS 261 | Statistical Theory | 3 |
| BSAD 293 | Integrated Product Development | 3 |
| CS 008 | Intro to Web Site Development | 3 |
| CS 014 | Visual Basic Programming | 3 |
| CS 020 | Programming for Engineers | 3 |
| CS 021 | Computer Programming I | 3 |
| CS 032 | Puzzles, Games & Algorithms | 3 |
| CS 064 | Discrete Structures | 3 |
| CS 087 | Introduction to Data Science | 3 |
| CS 106 | Embedded Programming in C | 3 |
| CS 110 | Intermediate Programming | 4 |
| CS 120 | Advanced Programming | 3 |
| CS 121 | Computer Organization | 3 |
| CS 124 | Data Structures & Algorithms | 3 |
| CS 125 | Computability and Complexity | 3 |
| CS 128 | Probability Models & Inference | 3 |
| CS 142 | Advanced Web Design | 3 |
| CS 148 | Database Design for the Web | 3 |
| CS 166 | Cybersecurity Principles | 3 |
| CS 189 | CS for Geospatial Technologies | 3 |
| CS 201 | Operating Systems | 3 |
| CS 204 | Database Systems | 3 |
| CS 205 | Software Engineering | 3 |
| CS 206 | Evolutionary Robotics | 3 |
| CS 222 | Computer Architecture | 3 |
| CS 224 | Algorithm Design & Analysis | 3 |
| CS 225 | Programming Languages | 3 |
| CS 228 | Human-Computer Interaction | 3 |
| CS 231 | Programming for Bioinformatics | 3 |
| CS 232 | Methods in Bioinformatics | 3 |
| CS 243 | Theory of Computation | 3 |
| CS 251 | Artificial Intelligence | 3 |
| CS 253 | Reinforcement Learning | 3 |
| CS 254 | Machine Learning | 3 |
| CS 256 | Neural Computation | 3 |
| CS 260 | Parallel Computing | 3 |
| CS 265 | Computer Networks | 3 |
| CS 266 | Network Security&Cryptography | 3 |
| CS 274 | Computer Graphics | 3 |
| CS 275 | Mobile Apps & Embedded Devices | 3 |
| CS 287 | Data Science I | 3 |
| CSYS 221 | Deterministic Modls Oper Rsch | 3 |
| CSYS 251 | Artificial Intelligence | 3 |
| CSYS 253 | Appl Time Series & Forecasting | 3 |
| CSYS 256 | Neural Computation | 3 |
| CSYS 266 | Chaos,Fractals&Dynamical Syst | 3 |
| CSYS 268 | Mathematical Biology&Ecology | 3 |
| EDSC 157 | Intro to Teaching Mathematics | 3 |
| EDSC 257 | Tchg Math in Secondary Schools | 3 |
| ENGR 020 | Programming for Engineers | 3 |
| MATH 009 | College Algebra | 3 |
| MATH 010 | Pre-Calculus Mathematics | 3 |
| MATH 015 | Elementary School Math | 3 |
| MATH 016 | Fund Concepts Elem School Math | 3 |
| MATH 017 | Applications of Finite Math | 3 |
| MATH 018 | Basic Mathematics | 3 |
| MATH 019 | Fundamentals of Calculus I | 3 |
| MATH 020 | Fundamentals of Calculus II | 3 |
| MATH 021 | Calculus I | 4 |
| MATH 022 | Calculus II | 4 |
| MATH 023 | Transitional Calculus | 5 |
| MATH 052 | Fundamentals of Mathematics | 3 |
| MATH 054 | Fund of Math of Computation | 3 |
| MATH 121 | Calculus III | 4 |
| MATH 122 | Applied Linear Algebra | 3 |
| MATH 124 | Linear Algebra | 3 |
| MATH 141 | Real Analysis in One Variable | 3 |
| MATH 151 | Groups and Rings | 3 |
| MATH 168 | Mathematics of Biology | 3 |
| MATH 173 | Basic Combinatorial Theory | 3 |
| MATH 183 | Fundamentals of Financial Math | 3 |
| MATH 207 | Probability Theory | 3 |
| MATH 221 | Deterministic Modls Oper Rsch | 3 |
| MATH 222 | Stochastic Models in Oper Rsch | 3 |
| MATH 230 | Ordinary Differential Equation | 3 |
| MATH 235 | Mathematical Models & Analysis | 3 |
| MATH 236 | Calculus of Variations | 3 |
| MATH 237 | Intro to Numerical Analysis | 3 |
| MATH 238 | Applied Computational Methods | 3 |
| MATH 240 | Fourier Series&Integral Trans | 3 |
| MATH 241 | Anyl in Several Real Vars I | 3 |
| MATH 242 | Anyl Several Real Variables II | 3 |
| MATH 251 | Abstract Algebra I | 3 |
| MATH 252 | Abstract Algebra II | 3 |
| MATH 255 | Elementary Number Theory | 3 |
| MATH 257 | Topics in Group Theory | 3 |
| MATH 260 | Foundations of Geometry | 3 |
| MATH 264 | Vector Analysis | 3 |
| MATH 266 | Chaos,Fractals&Dynamical Syst | 3 |
| MATH 268 | Mathematical Biology&Ecology | 3 |
| MATH 271 | Adv Engineering Mathematics | 3 |
| MATH 272 | Applied Analysis | 3 |
| MATH 273 | Combinatorial Graph Theory | 3 |
| MATH 274 | Numerical Linear Algebra | 3 |
| MMG 231 | Programming for Bioinformatics | 3 |
| MMG 232 | Methods in Bioinformatics | 3 |
| PHIL 013 | Introduction to Logic | 3 |
| STAT 051 | Probability With Statistics | 3 |
| STAT 087 | Introduction to Data Science | 3 |
| STAT 111 | Elements of Statistics | 3 |
| STAT 141 | Basic Statistical Methods | 3 |
| STAT 143 | Statistics for Engineering | 3 |
| STAT 151 | Applied Probability | 3 |
| STAT 153 | Prob & Stat for Cmptr Sci | 3 |
| STAT 183 | Statistics for Business | 3 |
| STAT 200 | Med Biostatistics&Epidemiology | 3 |
| STAT 201 | Stat Computing & Data Analysis | 3 |
| STAT 211 | Statistical Methods I | 3 |
| STAT 221 | Statistical Methods II | 3 |
| STAT 223 | Applied Multivariate Analysis | 3 |
| STAT 224 | Stats for Quality&Productivity | 3 |
| STAT 225 | Applied Regression Analysis | 3 |
| STAT 229 | Survival/Logistic Regression | 3 |
| STAT 231 | Experimental Design | 3 |
| STAT 233 | Survey Sampling | 3 |
| STAT 235 | Categorical Data Analysis | 3 |
| STAT 237 | Nonparametric Statistical Mthd | 3 |
| STAT 241 | Statistical Inference | 3 |
| STAT 251 | Probability Theory | 3 |
| STAT 253 | Appl Time Series & Forecasting | 3 |
| STAT 256 | Neural Computation | 3 |
| STAT 261 | Statistical Theory | 3 |
| STAT 265 | Integrated Product Development | 3 |
| STAT 287 | Data Science I | 3 |
