Total credit hours required for graduation are 122.
Maximum mathematics credits applicable toward the degreee are 47.
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| Math 131 Calculus I |
3 |
Biol 111 Introduction to Biology I & Lab |
4 |
| Math 132 Calculus II |
3 |
Biol 112 Introduction to Biology II & Lab |
4 |
| Math 141 Introduction to Discrete Math |
3 |
Chem 113 Principles of Chemistry I & Lab |
4 |
| Math 231 Differential Equations |
3 |
Chem 114 Principles of Chemistry II & Lab |
4 |
| Math 232 Calculus III |
3 |
Chem 211 Organic Chemistry I & Lab |
4 |
| Math 401 Linear Algebra |
3 |
Chem 212 Organic Chemistry II & Lab |
4 |
| Math 402 Abstract Algebra |
3 |
Biol 311 Genetics & Lab |
4 |
| Math 413 Complex Analysis |
3 |
Chem 315 Biochemistry I & Lab |
4 |
| Math 414 Real Analysis |
3 |
Chem 316 Biochemistry II |
3 |
| Math elective 1 |
3 |
Biol / CS 240 Introduction to Bioinformatics |
3 |
| Math elective 1 |
3 |
CS 450 Bioinformatics Algorithms |
3 |
| Math elective 1 |
3 |
|
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| Math 481 Senior Project I |
1 |
|
|
| Math 482 Senior Project II |
2 |
|
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1. Math electives must be among Math 301, 308, 309, 329, 405 and 470-9.
|
| Eng 111 English Composition I |
3 |
Eng 112 English Composition II |
3 |
| Religious Studies Elective |
3 |
Religious Studies Elective |
3 |
| Social Science Elective |
3 |
Social Science Elective |
3 |
| Foreign Language Elective 2 |
3 |
Foreign Language Elective |
3 |
| English Literature Elective |
3 |
Philosophy 3 |
3 |
| Orientation |
0 |
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2. Foreign Language must be the same language. |
3. Philosophy must satisfy a Moral Values requirement.
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The degree fulfills the other requirements.
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Biol / CS 240 Introduction to Bioinformatics
The course considers introductory topics in bioinformatics. Topics
include the structure of DNA, string representation in PERL,
data searches, pairwise alignments, substitution patterns,
protein structure prediction and modeling, proteomics and the use
of web-based tools for topics in bioinformatics.
Prerequisite: Biol 111 3 credits
CS 450 Algorithms for Bioinformatics
The course considers algorithms used in bioinformatics. Topics
include graph theory, complexity theory, dynamic programming and
techniques for optimization. Students study These topics in the
context of application toward solving specific computational
problems in molecular genetics.
Prerequisite: Biol 340 3 credits
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The GPA in the mathematics requirements must be at least 2.0.
The GPA in the science and arts requirements must be at least 2.0.
The overall GPA must be at least 2.0.
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