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Curriculum

The curriculum for the Bioinformatics Specialization is divided into two tracks:

A. Bioinformatics Specialization in Computer Science and Engineering
Students entering the Department of Computer Science and Engineering need to follow their specific curriculum for the Bioinformatics Specialization. Please refer to their curriculum web page at: http://cse.unl.edu/grad/msadmisrequire.shtml

B. Bioinformatics Specialization in Life Sciences
Students entering the other participating departments for the Bioinformatics Specialization need to meet requirements within the individual department in addition to the Specialization specific requirements described below.

1) Specialization at the M.S. level will require a minimum of four courses including two credit hours at a minimum from each of the three categories listed below. Specialization at the Ph.D. level will require at least six courses from the three categories with a minimum of two from any one category. For both M.S. and PhD. levels, at a minimum, 12 hours of specialization related coursework are required.

2) Participation in the Bioinformatics Seminar (BIOS 915Z) is required each semester the student is enrolled in the program provided that it does not conflict with departmental requirements.

3) Participation in the BIOS 427/827 Practical Bioinformatics Laboratory is strongly encouraged depending on student's background training.

4) Students are expected to meet with their supervisory committee on an annual basis and provide an annual progress report to the Bioinformatics Advisory Committee before the end of the Spring semester. It is expected that students in the program will present their research results at scientific meetings and publish in scientific journals.

General Governance Procedures

Recommended courses in each of the expected areas of study

Note 1. Several undergraduate courses that cannot be taken for graduate level credit are recommended for
those students who may have deficiencies in one or more of the categories identified below (indicated with *). These courses cannot be taken for graduate credit nor for 12 hours of specialization related course work requirements. However, they may be used to cover the three categories listed below if approved by both of the supervisory committees and the Specialization Advisory Committee.

Note 2. Equivalent courses can substitute for any of the courses listed below.

Category I - Biochemistry and Molecular Genetics

BIOC 431/831 Biomolecules & Metabolisms
BIOC 432/832 Gene Expression & Replication
BIOC 839 Graduate Survey of Biochemistry
BIOS 418/818 Advanced Genetics
BIOS 420/820 Molecular Genetics

*BIOS 206 General Genetics
*BIOS 207 Ecology and Evolution
*BIOC 321 Elements of Biochemistry

Category II - Computer Sciences and Mathematical Methods

MATH/CSCE 340/840 Numerical Analysis I
MATH/CSCE 441/841 Approximation of Functions
MATH/CSCE 447/847 Numerical Analysis II

BIOS 428/828 Perl Programming for Biological Applications

*CSCE 155 Introduction to Computer Science I
*CSCE 156 Introduction to Computer Science II
*CSCE 235 Introduction to Discrete Structures
*CSCE 310 Data Structures and Algorithms

Category III - Bioinformatics and Computational Biology

ASCI 896 Genomics and Systems Biology
BIOS 427/827 Practical Bioinformatics Laboratory
BIOS 477/877 Bioinformatics and Molecular Evolution
BIOS 497/897 Evolutionary Genomics
BIOS 942 Genetics, Genomics, and Bioinformatics of Prokaryotes
CSCE 496/896 Special Topics: Bioinformatics
CSCE 990 Bioinformatics Seminar
MATH 439/839 Mathematical Models in Biology
MATH 842 Methods of Applied Mathematics I
MATH 496/896 Mathematical Aspects of Bioinformatics
STAT 892/ BIOS 897 Computational Molecular Biology
STAT 896A Statistical Methods in Bioinformatics

Additional courses recommended for in-depth training in specific areas

AGRO 931/ANSCI 931 Population Genetics (introduction to quantitative genetics)
AGRO 932 Biometrical Genetics and Plant Breeding
AGRO xxx QTL detection (planning)
ANSCI 932 Quantitative Animal Genetics
ANSCI 934 Application of Biotechnology in Animal Science
ANSCI 896 Mixed Model Methods
ANSCI 933 Selection Index
ANSCI 896 Genomics and Systems Biology of Mammals
ANSCI 896 Parameter Estimation (not every year)
ANSCI 896 FORTRAN programming (not every year)
BIOS 412/812 Human Genetics (population genetics included)
BIOS 826 Population Biology
BIOS 429/829 Phylogenetic Biology
BIOS 924 Molecular Phylogenetics (starting Spring, 2004)
BIOC 932 Proteins
BIOC 933 Enzymes
BIOC 934 Nucleic Acids
CSCE 878 Machine Learning
CSCE 823 Design and Analysis of Algorithms
CSCE 923 Development and Analysis of Algorithms
CSCE 924 Graph Algorithms
CSCE 970 Pattern Recognition
MATH 830 Ordinary Differential Equations I
MATH 831 Ordinary Differential Equations II
MATH 833 Nonlinear Optimization
MATH 843 Methods of Applied Mathematics II
MATH 938 Mathematical Modeling
MATH 943 Seminar in Applied Mathematics
MATH/CSCE 942 Numerical Analysis III
STAT 873 Applied Multivariate Statistics
STAT 896 Statistical Genomics

Advisory Committee
Procedures
Proposals
Recommended undergrad courses