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Computational Biology & Bioinformatics

Computational Biology & Bioinformatics graphic
Computational Biology & Bioinformatics graphic
Computational Biology & Bioinformatics graphic
Computational Biology & Bioinformatics graphic
Computational Biology & Bioinformatics graphic
Computational Biology & Bioinformatics graphic
Computational Biology & Bioinformatics graphic
Computational Biology & Bioinformatics graphic

Undergraduate Minor in Computational Biology & Bioinformatics

The Computational Biology and Bioinformatics (CBB) Minor is an interdisciplinary program that prepares students to understand, use, and develop advanced computational methods and tools for processing, visualizing, and analyzing biological data and for modeling biological processes. Studies in computational biology and bioinformatics involve biosciences, computer science, engineering, mathematics, and statistics. Students will be prepared for careers in biomedical, biotechnology, agricultural, pharmaceutical, and engineering fields and for related graduate studies.

The Computational Biology & Bioinformatics (CBB) Minor requires 18 credit hours from four core courses and elective courses. The core courses are:

  • CSCE 155T Computer Science I: Informatics Focus
  • BIOS 237 Basic Application of Bioinformatics
  • STAT 218 Introduction to Statistics
    or MATH/STAT 380 Statistics and Applications
    or IMSE 321 Engineering Statistics and Data Analysis
  • CSCE 311 Data Structures and Algorithms for Informatics

For the official description of the CBB Minor requirements, including foundation courses and the lists of elective courses, see the UNL Undergraduate Bulletin.

For more information, contact:
  Dr. Charles Riedesel, Chief Undergraduate Advisor
  Computer Science and Engineering Department
  256 Avery Hall
  University of Nebraska - Lincoln
  Lincoln NE 68588-0115
  Phone: (402) 472-2401
  fax: (402) 472-7767
  email: cbb@unl.edu
  website: http://cbb.unledu

The CBB Steering Committee is:
  Etsuko Moriyama (Chair, CBB Steering Committee), Biological Sciences
  Stephen D. Kachman, Statistics
  Stephen E. Reichenbach, Computer Science & Engineering
  Jeyamkondan Subbiah, Biological Systems Engineering/Food Science & Technology