The Mathematics of Information Concentration prepares students for graduate study and/or an interdisciplinary career in information/communication technology where mathematics, computer science, and electrical engineering are interwoven. Students in this concentration receive training in cryptology, both source and channel coding theory, related courses in the companion fields, as well as the other core science and mathematics courses.

Effective Fall 2015

View Major Completion Map  

A minimum grade of C is required in all mathematics, statistics, and computer science courses which are required for graduation.

Freshman
AUCCCredits
CO 150College Composition (GT-CO2)1A3
CS 155Introduction to Unix 1
CS 156Introduction to C Programming I 1
ECE 103DC Circuit Analysis 3
MATH 160Calculus for Physical Scientists I (GT-MA1)1B4
MATH 161Calculus for Physical Scientists II (GT-MA1)1B4
MATH 192First Year Seminar in Mathematical Sciences 1
STAT 192First-Year Seminar in Statistics 1
Arts and Humanities3B3
Global and Cultural Awareness3E3
Historical Perspectives3D3
Social and Behavioral Sciences3C3
 Total Credits 30
Sophomore
 
ECE 202Circuit Theory Applications 4
JTC 300Professional and Technical Communication (GT-CO3)23
MATH 151Mathematical Algorithms in Matlab I 1
MATH 152Mathematical Algorithms in Maple 1
MATH 158/CS 158Mathematical Algorithms in C 1
MATH 261Calculus for Physical Scientists III 4
MATH 345Differential Equations 4
MATH 369Linear Algebra I4A3
STAT 315Statistics for Engineers and Scientists 3
Arts and Humanities3B3
Electives1 3
 Total Credits 30
Junior
 
ECE 3112Linear System Analysis I 3
MATH 317Advanced Calculus of One Variable4B4
MATH 360 or 366Mathematics of Information Security
Introduction to Abstract Algebra
 3
Biological and Physical Sciences33A7
Electrical Engineering/Mathematical Science Elective4 3
Electives1 10
 Total Credits 30
Senior
 
ECE 312Linear System Analysis II 3
MATH 460Information and Coding Theory4C3
Select one from the following: 3
Introduction to Communications Principles  
Elementary Probabilistic-Stochastic Modeling  
Multiple Regression Analysis  
Electrical Engineering/Mathematical Science Electives4 9
Electives1 12
 Total Credits 30
 Program Total Credits: 120
1

Select enough elective credits to bring the program total to a minimum of 120 credits, of which at least 42 must be upper-division (300- to 400-level).

2

Students in this concentration may need to obtain a prerequisite override from the appropriate department to enroll in this course.

3

Select two courses from the list of courses in category 3A in the AUCC. One course must include a lab. Courses must be selected from two different subject codes.

4

Select a total of 12 credits from (A) and (B), with 6 or more coming from (A):

  1. upper-division mathematics courses except those ending in –80 to –99;
  2. upper-division ECE, CS, MATH, or STAT courses, except those ending in –80 to –99.

The Major Completion Map for this concentration will be published in the 17-18 General Catalog. Students should consult with their Advisor or visit the Department for the current Major Completion Map requirements.