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Undergraduate Catalog

2012 - 2013

BS in Bioinformatics
(66 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:
  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)
      WHEN TAUGHT:Fall; Winter; Spring; Summer
      PREREQUISITE: Knowledge of algebra.
      DESCRIPTION: Introduction to object-oriented program design and development. Principles of algorithm formulation and implementation.

      Course Outcomes


      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)
      WHEN TAUGHT:Fall; Winter; Spring; Summer
      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.

      Course Outcomes


      C S 240 : Advanced Programming Concepts. (4:3:1)(Credit Hours:Lecture Hours:Lab Hours)
      C S 240 : Advanced Programming Concepts. (4:3:1)(Credit Hours:Lecture Hours:Lab Hours)
      WHEN TAUGHT:Fall; Winter; Spring; Summer
      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.

      Course Outcomes


      C S 360 : Internet Programming. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
      C S 360 : Internet Programming. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
      WHEN TAUGHT:Fall; Winter
      PREREQUISITE: C S 240
      DESCRIPTION: Internet application programming, including sockets, threads, CGI, database, e-commerce, Web services.

      Course Outcomes


      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)
      WHEN TAUGHT:Fall; Winter; Spring; Summer
      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.

      Course Outcomes


      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)
      WHEN TAUGHT:Fall; Winter; Summer
      PREREQUISITE: CHEM 105; or CHEM 111
      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.

      Course Outcomes


      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)
      WHEN TAUGHT:Fall; Winter; Spring
      PREREQUISITE: CHEM 105; or CHEM 111
      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.

      Course Outcomes


      MATH 112 : Calculus 1. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)
      OFFERED: Honors also.
      WHEN TAUGHT:Fall; Winter; Spring; Summer
      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.

      Course Outcomes
               
      : Honors Calculus 1.
      Course Outcomes



      MATH 113 : Calculus 2. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)
      OFFERED: Honors also.
      WHEN TAUGHT:Fall; Winter; Spring; Summer
      PREREQUISITE: Math 112 or equivalent.
      DESCRIPTION: Techniques and applications of integration; sequences, series, convergence tests, power series; parametric equations; polar coordinates.

      Course Outcomes


  3. Complete the following:
      STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
      STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
      WHEN TAUGHT:Fall; Spring
      PREREQUISITE: MATH 112
      RECOMMENDED: Concurrent enrollment in MATH 113.
      DESCRIPTION: The scientific method; conditional probability; Bayes' Theorem; conjugate distributions: Beta-binomial, Poisson-gamma, normal-normal; Gibbs sampling.

      Course Outcomes


      STAT 201 : Statistics for Engineers and Scientists. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
      STAT 201 : Statistics for Engineers and Scientists. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)
      WHEN TAUGHT:Fall; Winter; Spring
      PREREQUISITE: MATH 112; or MATH 119
      DESCRIPTION: The scientific method; probability, random variables, common discrete and continuous random variables, central limit theorem; confidence intervals and hypothesis testing; completely randomized experiments; factorial experiments.

      Course Outcomes


  4. Complete six credit hours from the following upper-division electives in computer science, chemistry, mathematics, statistics, or biology:

*Hours include courses that may fulfill university core requirements.



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