The Computational Mathematics Concentration prepares students both for careers in industry and graduate work in mathematics. The course work in this concentration emphasizes mathematics that underlies the computational sciences.
Effective Fall 2023
A minimum grade of 'C' (2.000) is required in all mathematics, statistics, and computer science courses that are required for graduation.
Freshman | |||
---|---|---|---|
AUCC | Credits | ||
CO 150 | College Composition (GT-CO2) | 1A | 3 |
MATH 192 | First Year Seminar in Mathematical Sciences | 1 | |
Select one group from the following: | 5-9 | ||
Group A: | |||
Culture and Coding: Python (GT-AH3) | 3B | ||
CS1--Introduction to Java Programming CS1--Computational Thinking with Java | |||
Group B: | |||
Python for STEM | |||
CS1--Introduction to Java Programming CS1--Computational Thinking with Java | |||
3B | |||
Select one course from the following: | 4 | ||
Mathematics for Computational Science I (GT-MA1) | 1B | ||
Calculus for Physical Scientists I (GT-MA1) | 1B | ||
Select one course from the following: | 4 | ||
Calculus for Physical Scientists II (GT-MA1) | 1B | ||
Mathematics for Computational Science II | |||
Biological and Physical Sciences | 3A | 3 | |
Diversity, Equity, and Inclusion | 1C | 3 | |
Historical Perspectives | 3D | 3 | |
Elective3 | 0-4 | ||
Total Credits | 30 | ||
Sophomore | |||
CS 165 | CS2--Data Structures | 4 | |
Select one course from the following: | 2-4 | ||
Discrete Structures and their Applications | |||
Introduction to Mathematical Reasoning | |||
Select one course from the following: | 3-4 | ||
Linear Algebra for Data Science | |||
Linear Algebra I | |||
Select one course from the following: | 3 | ||
Introduction to Communications Principles | |||
Intro to Theory and Practice of Statistics | |||
Arts and Humanities | 3B | 3 | |
Biological and Physical Sciences | 3A | 4 | |
Social and Behavioral Sciences | 3C | 3 | |
Electives3 | 5-8 | ||
Total Credits | 30 | ||
Junior | |||
Select one course from the following: | 3 | ||
Mathematics of Information Security | 4A | ||
Introduction to Abstract Algebra | 4A | ||
Select one course from the following: | 3 | ||
Algorithms--Theory and Practice | 4B | ||
Advanced Calculus of One Variable | 4B | ||
Mathematical Sciences Electives1 | 9 | ||
Mathematical/Computer Science Electives2 | 6 | ||
Electives3 | 9 | ||
Total Credits | 30 | ||
Senior | |||
JTC 300 | Strategic Writing and Communication (GT-CO3) | 2 | 3 |
Select one Capstone Course: | 3 | ||
Projects in Applied Mathematics | 4C | ||
Information and Coding Theory | 4C | ||
Mathematical Science Electives1 | 3 | ||
Mathematical/Computer Science Electives2 | 6 | ||
Electives3 | 15 | ||
Total Credits | 30 | ||
Program Total Credits: | 120 |
- 1
Select a total of 12 additional credits from upper-division Mathematics courses except courses ending in -80 to -99.
- 2
Select 12 additional credits from MATH 261, ECE 311, ECE 312, upper-division Mathematics, Computer Science, Data Science, or Statistics courses, except courses ending in -80 to -99 and except for MATH 369, DSCI 369, STAT 301, and STAT 307.
- 3
Select enough elective credits to bring program total to a minimum of 120 credits, of which at least 42 must be upper-division (300- to 400-level).
Distinctive Requirements for Degree Program:
TO PREPARE FOR FIRST SEMESTER: The curriculum for the Major in Mathematics, Computational Mathematics Concentration assumes students enter college prepared to take calculus. Entering students who are not prepared to take calculus will need to fulfill pre‐calculus requirements in the first semester: MATH 117, MATH 118, MATH 124, MATH 125, MATH 126. A minimum grade of C is required in all mathematics, statistics, and computer science courses that are required by the major.
Freshman | |||||
---|---|---|---|---|---|
Semester 1 | Critical | Recommended | AUCC | Credits | |
CO 150 | College Composition (GT-CO2) | X | 1A | 3 | |
MATH 192 | First Year Seminar in Mathematical Sciences | X | 1 | ||
First Course from Group A or B: | 2-3 | ||||
Culture and Coding: Python (GT-AH3) Python for STEM | X | 3B | |||
Select one of the following courses: | X | 4 | |||
Mathematics for Computational Science I (GT-MA1) | 1B | ||||
Calculus for Physical Scientists I (GT-MA1) | 1B | ||||
Diversity, Equity, and Inclusion | X | 1C | 3 | ||
Pre-Calculus Requirements must be completed by the end of Semester 1, if needed (MATH 117, MATH 118, MATH 124, MATH 125, MATH 126). | X | ||||
Total Credits | 13-14 | ||||
Semester 2 | Critical | Recommended | AUCC | Credits | |
Select one course from the following: | X | 4 | |||
Calculus for Physical Scientists II (GT-MA1) | 1B | ||||
Mathematics for Computational Science II | |||||
Remaining Course(s) from Group A or B: | 2-7 | ||||
Group A: | |||||
CS1--Introduction to Java Programming CS1--Computational Thinking with Java | |||||
Group B: | |||||
CS1--Introduction to Java Programming CS1--Computational Thinking with Java | |||||
X | 3B | ||||
Historical Perspectives | 3D | 3 | |||
Biological and Physical Sciences | X | 3A | 3 | ||
Elective | 0-4 | ||||
Calculus Series Part I must be completed by the end of Semester 2. | X | ||||
Total Credits | 16-17 | ||||
Sophomore | |||||
Semester 3 | Critical | Recommended | AUCC | Credits | |
CS 165 | CS2--Data Structures | 4 | |||
Select one course from the following: | X | 2-4 | |||
Discrete Structures and their Applications | |||||
Introduction to Mathematical Reasoning | |||||
Select one course from the following: | X | 3-4 | |||
Linear Algebra for Data Science | |||||
Linear Algebra I | |||||
Arts and Humanities | X | 3B | 3 | ||
Total Credits | 12-15 | ||||
Semester 4 | Critical | Recommended | AUCC | Credits | |
Select one course from the following: | X | 3 | |||
Introduction to Communications Principles | |||||
Intro to Theory and Practice of Statistics | |||||
Biological and Physical Sciences | 3A | 4 | |||
Social and Behavioral Sciences | X | 3C | 3 | ||
Electives | 5-8 | ||||
Calculus series Part II must be completed by the end of Semester 4. | X | ||||
Total Credits | 15-18 | ||||
Junior | |||||
Semester 5 | Critical | Recommended | AUCC | Credits | |
Select one of the following courses: | X | 3 | |||
Mathematics of Information Security | 4A | ||||
Introduction to Abstract Algebra | 4A | ||||
Mathematical Science Electives | X | 6 | |||
Mathematical/Computer Science Electives | X | 3 | |||
Elective | 3 | ||||
Total Credits | 15 | ||||
Semester 6 | Critical | Recommended | AUCC | Credits | |
Select one of the following courses: | X | 3 | |||
Algorithms--Theory and Practice | 4B | ||||
Advanced Calculus of One Variable | X | 4B | |||
Mathematical Sciences Electives | X | 3 | |||
Mathematical/Computer Science Electives | X | 3 | |||
Electives | X | 6 | |||
Total Credits | 15 | ||||
Senior | |||||
Semester 7 | Critical | Recommended | AUCC | Credits | |
JTC 300 | Strategic Writing and Communication (GT-CO3) | X | 2 | 3 | |
Mathematical Science Electives | X | 3 | |||
Mathematical/Computer Science Electives | X | 3 | |||
Electives | X | 6 | |||
Total Credits | 15 | ||||
Semester 8 | Critical | Recommended | AUCC | Credits | |
Select one capstone course: | X | 3 | |||
Projects in Applied Mathematics | 4C | ||||
Information and Coding Theory | 4C | ||||
Mathematical/Computer Science Electives | X | 3 | |||
Electives | X | 9 | |||
The benchmark courses for the 8th semester are the remaining courses in the entire program of study. | X | ||||
Total Credits | 15 | ||||
Program Total Credits: | 120 |