Supplementary Major in ACMS
Students in numerous areas of study can benefit from advanced study in applied and computational mathematics and statistics (ACMS). This is true for students in business and the social sciences as well as those in the natural sciences and engineering. This supplementary major is wellsuited for these students. The supplementary major in ACMS requires 36 credits in ACMS and Mathematics, 6 credits fewer of electives than the full ACMS major. The specific requirements are as follows:
Calculus I, II (MATH 10550, 10560)
Introduction to Applied Mathematics Methods I, II (ACMS 20550, 20750)
Scientific Computing (ACMS 20210)
Applied Linear Algebra (ACMS 20620)
Introduction to Probability (ACMS 30530)
Mathematical Statistics (ACMS 30540) or Statistical Methods and Data Analysis I (ACMS 30600)
Numerical Analysis (ACMS 40390)
Mathematical/Comp Modeling (ACMS 40730) or Stochastic Modeling (ACMS 40760) or Math/Comp Modeling in Neuroscience (ACMS 40740)
ACMS electives (3 credits in ACMS courses numbered 30000 and above, except those overlapping in content with one of the above)
Difference from the full major: The full ACMS major requires 43 credits in ACMS and MATH courses. This supplementary major requires two fewer ACMS electives. The chemistry and physics requirements, and science elective requirement are not needed for the supplementary major.
Double counting issues: A student is permitted to double count Calculus I and II for a first major and this supplementary major. Other exemptions are possible on a casebycase basis, but usually if a course is used to replace a course in ACMS, an extra ACMS elective must be taken to make up the corresponding ACMS course credits.
ACM2 Sample Curriculum:
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First Year
First Semester  Second Semester  

Math 10550. Calculus I  4  MATH 10560. Calculus II  4 
Total Credits  4  Total Credits  4 
Sophomore Year
First Semester  Second Semester  

ACMS 20550. Applied Math Methods I  3.5  ACMS 20750. Applied Math Methods II  3.5 
ACMS 20620. Applied Linear Algebra/ ACMS 20210. Scientific Computing  3/3.5  ACMS 20620. Applied Linear Algebra/ ACMS 20210. Scientific Computing  3/3.5 
ACMS 30530. Introduction to Probability  3  
Total Credits  6.5/7  Total Credits  9.5/10 
Junior Year
First Semester  

ACMS 30600. Stat Mthd & Data Analysis I  3.5  
ACMS 40390. Numerical Analysis/ (AMCS 40730. Math/Comp Modeling/ACMS 40760 Stochastic Modeling)**  3  ACMS 40390. Numerical Analysis/ (ACMS 40730. Math/Comp Modeling/ ACMS 40740 Math/Comp Modeling in neuroscience)** 
3 
Total Credits  6.5  Total Credits  3 
**One of the ACMS 40730, 40740, 40760 will satisfy the modeling course requirement. If two or more courses are taken, the other can be counted as ACMS elective. At least one of the three courses will be offered each semester.
Senior Year
First Semester  Second Semester  

ACMS Elective  3  ACMS Elective  3 
Total Credits  3  Total Credits 
3

Note that the major, college, and university requirements for the supplementary major are not included and are the responsibility of the student.
 Equivalent or higher sequences in science may be substituted, e.g., MATH 10850, 10860 for MATH 10550, 10560.
 Some ACMS courses, ACMS 30440 in particular, are not acceptable as electives for the major. The list of acceptable courses for ACMS majors can be obtained from the student’s advisor. Introduction to Mathematical Reasoning (MATH 20630) is also an acceptable elective.
 Students with an interest in attending graduate school in mathematics or applied mathematics are encouraged to take Algebra (MATH 30710).
 An appropriate class in bioinformatics, biophysics, or a related topic, may be substituted for 3 credits in ACMS coursework with the permission of the Director of Undergraduate Studies.
 A student should take three core requirement courses during the first year, including one course that is desibnated a University Seminar. It is recommended that one course in history or social sciences be taken in the first year and one philosophy and one theology by the end of the sophomore year.