Laboratory Science/Mathematics/Statistics/Computing

Curricular Outcome: Ability to think and function as a scientist

College of Science students will complement critical thinking and analytical abilities gained within their major area of study by completing a two-course sequence and related laboratory experience in a science outside of their major. Students are also required to develop proficiency and knowledge in the areas of mathematics, statistics, and computer science.

Laboratory Science

The laboratory science requirement is met by completion of a one-year sequence of laboratory science.

List of Approved Lab Science Courses

Mathematics

The Mathematics requirement is met by completion of a one-year sequence of single variable calculus. The following sequences are approved to meet the math requirement:

MA 16100: Plane Analytic Geometry and Calculus I (5 cr.) and MA 16200: Plane Analytic Geometry and Calculus II (5 cr.)

MA 16500: Analytic Geometry and Calculus I (4 cr.) and MA 16600: Analytic Geometry and Calculus II (4 cr.)

Biology Majors only: MA 16010: Applied Calculus I and MA 16020: Applied Calculus II

Statistics

The Statistics requirement is met by completion of a statistics course that has been approved for the student's program of study (major). Please check specific department and or major requirements as there may be departmental restrictions on which courses are approved. The following courses and their equivalents may be acceptable:

STAT 30100: Elementary Statistical Methods
STAT 35000: Introduction to Statistics
STAT 35500: Statistics for Data Science
STAT 50300: Statistical Methods for Biology
STAT 51100: Statistical Methods

Computing

The Computing requirement is met by completion of a computing course that has been approved for the student's program of study (major). Students should review their major's Degree Progression Guide for acceptable computing courses. The following courses and their equivalents may be acceptable:

CS 15900: C Programming
CS 17600 (previously CS 19000 DEP) Data Engineering in Python
CS 17700: Programming With Multimedia Objects
CS 18000: Programming I
CS 19000: Introduction to Computational Thinking (Fall 07, Spring 08, Fall 08)
CS 19000: Data Engineering in Python
ECE 49500: Intro to Computer Systems
ENGR 14200: Honors Creativity and Innovation and Engineering Design II
ENGR 16200: Honors Introduction To Innovation And The Physical Science Of Engineering Design II
STAT 29000: Introduction To Big Data Analysis
STAT 19000: Data Mine I AND STAT 19000: Data Mine II (2 credits)