Minimum Course Prerequisites

• BIOL 220 -  Introduction to Organisms, Ecology, Evolution (3)
• BIOL 225 -  Introduction to Molecules, Cells, Development (3)
• MATH 131 -  Calculus I for Life Sciences (4) or
  MATH 111 - Calculus I
    (4)
• MATH 132 -  Calculus II for Life Sciences (4) or
  MATH 112 - Calculus II
    (4)

• Note: other prerequisite courses may be needed depending upon elective courses selected.

Major Writing Requirement

 The upper-division writing requirement may be satisfied in one of the following ways:

• Completion of
  BIOL 325
    or
  MATH 345
    with a grade of C- or better, or
• Completion of 
  INTR 495
    and 
  INTR 496
   , which requires the writing of an Honors thesis.

Major Computing Requirement

Proficiency in a high-level programming language and fundamental concepts in data structures at the level of CSCI 141 and CSCI 241 is required. This is normally done by taking and passing these courses.

• CSCI 141 -  Computational Problem Solving (4)
• CSCI 241 -  Data Structures (3)

Major Mathematics Requirement

Proficiency in linear algebra and multivariable calculus at the level of MATH 211 and MATH 212 or MATH 213 is required. This is normally done by taking and passing these courses.

• MATH 211 -  Linear Algebra (3,3)
• MATH 212 -  Introduction to Multivariable Calculus (3,3)
• MATH 213 -  Multivariable Calculus for Science and Mathematics (4,4)

Mathematical Modeling Requirement (2 courses)

At most, one course from:

• BIOL 325 -  Introduction to Quantitative Biology (3)
• MATH 345 -  Introduction to Mathematical Biology (3)

• with the remaining course chosen from:

• APSC 351
   /  BIOL 351 -  Cellular Biophysics and Modeling (3)

• APSC 456
   /BIOL 404 Random Walks in Biology (3)

Statistics and Data Analysis Electives (2 courses)

• BIOL 327 -  Introduction to Biostatistics (3-4)
• MATH 351 -  Probability and Statistics for Scientists (3)
• MATH 352 -  Statistical Data Analysis (3)
• MATH 451 -  Probability (3)
• MATH 452 -  Mathematical Statistics (3)

• Note: MATH 351 cannot be taken for credit if credit for MATH 401 has already been given.

Computational Elective (1 course)

• CSCI 303 -  Algorithms (3)
• CSCI 426 -  Simulation (3)
• CSCI 520 Computing in Operations Research (3)
• PHYS 256 -  Practical Computing for Scientists (3)

Biology Electives (any 2 BIOL 300 level or above courses). Examples include:

• APSC 351
    /  BIOL 351 -  Cellular Biophysics and Modeling (3)
• APSC 456 -  Random Walks in Biology (3) BIOL 404 - Random Walks in Biology (3)

• (if not used to fulfill the Mathematical Modeling requirement)

• BIOL 310 -  Molecular Cell Biology (3)
• BIOL 312 -  Evolution of Organisms (3)
• BIOL 401 -  Evolutionary Genetics (3)
• BIOL 414 -  Biochemistry (3)
• BIOL 417 -  Population and Community Ecology (4)
• BIOL 442 -  Molecular Genetics (3)
• BIOL 445 -  GIS for Biologists (3)

Applications and Models Electives (2 courses)

• APSC 327 -  Introduction to Laser Biomedicine (3)
• APSC 450 -  Computational Neuroscience (3)
• CHEM 341 -  Physical Chemistry for Life Sciences (3)
• CHEM 414 -  Biochemistry (3) /
  BIOL 414 - Biochemistry
    (3)
• MATH 302 -  Ordinary Differential Equations (3)
• MATH 410
   /
  APSC 490
     -Topics in Mathematics (3)
• MATH 413 -  Introduction to Numerical Analysis I (3)
• MATH 414 -  Introduction to Numerical Analysis II (3)
• MATH 441 -  Ordinary Differential Equations II (3)
• MATH 442 -  Partial Differential Equations (3)
• PHYS 403 -  Statistical Mechanics and Thermodynamics (3)

Note:

Credit for INTR 495-496 Honor, with a faculty advisor approved by one of the Mathematical Biology Track directors, may substitute for any two elective courses, as long as the two courses are not in the same category.  In addition, with advisor approval, students may replace one elective requirement with one or more independent study or research credits, which must total 3 credits.