BS in Bioinformatics (63 hours*)

Program Objectives

Bioinformatics is an interdisciplinary program offering substantial training in both the biological sciences and the physical and mathematical sciences, with an emphasis on computer programming coupled with genetics and molecular biology. Students are expected to acquire programming, databasing, and operating system skills coupled with a foundation in mathematics and statistics. In addition, students will receive broad training in the basic concepts of biology and chemistry. Students attracted to this program have dual interests in math/computer science and biology, and find it an exceptional option for their broad interests.

Program Requirements    |    View MAP

1. Complete the following:
   BIO 265 : (Bio-MMBio-PWS) Genomics. (3:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   BIO 265 : (Bio-MMBio-PWS) Genomics. (3:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W
   PREREQUISITE:	Bioinformatics major status or PDBio 120.
   DESCRIPTION:	Introduction to genomics and genome projects (human, plant, bacterial, yeast, parasites). Introduction to genes and genomes; computational and statistical approaches for analyzing genomic data, including genome sequencing and annotation, gene expression and the transcriptome, proteomics and functional genomics, and genetic variation and SNPs.
   
   
   BIO 365 : Computational Biology. (3:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   BIO 365 : Computational Biology. (3:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F
   PREREQUISITE:	Bio 265, C S 240.
   DESCRIPTION:	Computational analysis of DNA data; introduction to bioinformatics databasing using Perl and SQL; configuration of UNIX workstations for bioinformatics analyses.
   
   
   BIO 370 : Bioethics. (2:1:3)(Credit Hours:Lecture Hours:Lab Hours)
   
   BIO 370 : Bioethics. (2:1:3)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W
   PREREQUISITE:	Introductory biology course.
   DESCRIPTION:	In-depth lecture and small group discussion of varied bioethical issues. LDS Church positions emphasized when appropriate.
   
   
   BIO 420 : Evolutionary Biology. (2:2:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   BIO 420 : Evolutionary Biology. (2:2:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp
   PREREQUISITE:	MMBio 240, PWS 340.
   DESCRIPTION:	Intensive examination of evolution as the conceptual cornerstone of biology.
   
   
   BIO 421 : Evolutionary Biology Laboratory. (1:0:3)(Credit Hours:Lecture Hours:Lab Hours)
   
   BIO 421 : Evolutionary Biology Laboratory. (1:0:3)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp
   PREREQUISITE:	MMBio 240; Bio 420 or concurrent enrollment.
   DESCRIPTION:	Methodology and evidence used in evolutionary biology: comparative anatomy, DNA and protein techniques, radiometric and non-radiometric dating, fossil data, etc.
   
   
   BIO 465 : Bioinformatics. (3:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   BIO 465 : Bioinformatics. (3:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Bio 265
   DESCRIPTION:	3-D protein structural comparisons, hidden Markov models for database comparisons, homology detection, multiple sequence analyses, and protein family comparisons. Exercises in computer programming in genomics.
   
   
   MMBIO 240 : Molecular Biology. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   MMBIO 240 : Molecular Biology. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp
   PREREQUISITE:	PDBio 120, Chem 105.
   DESCRIPTION:	Fundamentals of protein and nucleic acid structure and their function in the context of the classical experiments that have informed our current models of biology at the molecular level.
   
   
   PDBIO 120 : Science of Biology. (2:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   PDBIO 120 : Science of Biology. (2:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su; Honors also.
   DESCRIPTION:	General biology course designed for biological science majors, emphasizing the scientific method, cell theory, biochemical unity, the Central Dogma, bioenergetics, reproduction, and evolutionary theory.
   
   
   PWS 340 : Genetics. (2:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   PWS 340 : Genetics. (2:2:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Su
   PREREQUISITE:	MMBio 240.
   DESCRIPTION:	Genetic mechanisms, their fundamental nature, interactions, and applications to human affairs. Genetics in quantitative terms. Extensive practice in problem solving.
   
   
2. Complete the following:
   C S 142 : Introduction to Computer Programming. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   C S 142 : Introduction to Computer Programming. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Knowledge of algebra.
   DESCRIPTION:	Introduction to object-oriented program design and development. Principles of algorithm formulation and implementation.
   
   
   C S 235 : Data Structures and Algorithms. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   C S 235 : Data Structures and Algorithms. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	C S 142.
   DESCRIPTION:	Fundamental data structures and algorithms of computer science; basic algorithm analysis; recursion; sorting and searching; lists, stacks, queues, trees, hashing; object-oriented data abstraction.
   
   
   C S 236 : Discrete Structures. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   C S 236 : Discrete Structures. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	C S 235.
   DESCRIPTION:	Introduction to grammars and parsing; predicate and propositional logic; proof techniques; sets, functions, relations, relational data model; graphs and graph algorithms.
   
   
   C S 240 : Advanced Programming Concepts. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   C S 240 : Advanced Programming Concepts. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Su
   PREREQUISITE:	C S 236.
   DESCRIPTION:	Advanced software development with an object-oriented focus. Development and testing of several 1500 to 2000 line modules from formal specifications. UNIX and C++ environment.
   
   
   CHEM 105 : General College Chemistry. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   CHEM 105 : General College Chemistry. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Math 110 (or equivalent) or concurrent enrollment.
   DESCRIPTION:	Atomic and molecular structure including bonding and periodic properties of the elements; reaction energetics, electrochemistry, acids and bases, inorganic and organic chemistry.
   NOTE:	Primarily for students in engineering and biological sciences. Three lectures and two recitation sections per week.
   
   
   CHEM 106 : General College Chemistry. (3:4:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   CHEM 106 : General College Chemistry. (3:4:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Su
   PREREQUISITE:	Chem 105 or equivalent.
   DESCRIPTION:	Continuation of Chem 105 but covering most of the topics in a more quantitative way. Detailed treatment of thermodynamics and equilibria.
   NOTE:	Three lectures and one recitation section per week.
   
   
   CHEM 351 : Organic Chemistry. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   CHEM 351 : Organic Chemistry. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp
   PREREQUISITE:	Chem 105, 111; or equivalents.
   DESCRIPTION:	Chemical bonds and molecular structure, conformation and configuration, functional classes, reactions and mechanisms, syntheses.
   NOTE:	Primarily for majors in chemical engineering and the biological sciences.
   
   
   MATH 112 : Calculus 1. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   MATH 112 : Calculus 1. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Math 110 and 111 or equivalent.
   DESCRIPTION:	Differential and integral calculus: limits; continuity; the derivative and applications; extrema; the definite integral; fundamental theorem of calculus; L'Hopital's rule.
   NOTE:	Honors also.
   
   
   MATH 113 : Calculus 2. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   MATH 113 : Calculus 2. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Math 112 or equivalent.
   DESCRIPTION:	Techniques and applications of integration; sequences, series, convergence tests, power series; parametric equations; polar coordinates.
   NOTE:	Honors also.
   
   
3. Complete one introductory statistics course:
   STAT 221 : Principles of Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 221 : Principles of Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Math 110 or equivalent.
   DESCRIPTION:	Stemplots, boxplots, histograms, scatterplots; central tendency, variability; confidence intervals and hypothesis testing involving one and two means and proportions; contingency tables, regression; computer package.
   NOTE:	Honors and Independent Study also.
   
   
   STAT 321 : Elements of Mathematical Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 321 : Elements of Mathematical Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, Su
   PREREQUISITE:	Math 113 or 119 or equivalent.
   DESCRIPTION:	Probability, random variables, frequency distributions, estimation and tests of hypotheses from a theoretical standpoint.
   
   
   STAT 331 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 331 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Math 113.
   DESCRIPTION:	The scientific method; conditional probability; Bayesian methods; models for proportions; densities for proportions; models for means; densities for means; regression analysis.
   
   
   STAT 332 : Quality Improvement for Industry. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 332 : Quality Improvement for Industry. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp
   PREREQUISITE:	Math 112 or 119.
   DESCRIPTION:	Quality management philosophies (Deming, etc.) Strategies for continuous improvement. Graphical and numerical methods of data analysis. Process control charts. Design and analysis of experiments for process characterization and improvement.
   
   
4. Complete one advanced statistics course not previously taken:
   STAT 331 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 331 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Math 113.
   DESCRIPTION:	The scientific method; conditional probability; Bayesian methods; models for proportions; densities for proportions; models for means; densities for means; regression analysis.
   
   
   STAT 332 : Quality Improvement for Industry. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 332 : Quality Improvement for Industry. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp
   PREREQUISITE:	Math 112 or 119.
   DESCRIPTION:	Quality management philosophies (Deming, etc.) Strategies for continuous improvement. Graphical and numerical methods of data analysis. Process control charts. Design and analysis of experiments for process characterization and improvement.
   
   
   STAT 336 : Statistical Methods 1. (6:3:3)(Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 336 : Statistical Methods 1. (6:3:3)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W
   PREREQUISITE:	Stat 221, Math 113.
   DESCRIPTION:	Estimation and hypothesis testing, simple linear regression, multiple regression, subset selection procedures; residual, influence, and collinearity diagnostics.
   
   
   STAT 421 : Introduction to Probability and Statistical Theory. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 421 : Introduction to Probability and Statistical Theory. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Math 113 or equivalent; Stat 336.
   DESCRIPTION:	Probability; random variables; probability models; methods of estimation; sampling distribution and the Central Limit Theorem; Neyman-Pearson hypothesis testing.
   
   
5. With approval of a faculty advisor, complete 6 hours from upper-division electives in computer science, chemistry, mathematics, statistics, or biology.

*Hours include courses that may fulfill university core requirements.

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