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Bioinformatics Courses
Four cores of study
The Graduate Program in Bioinformatics is built around four core disciplines: bioinformatics (BI), biosciences (BS), information science (IS) and the life sciences (LS). All four cores are represented on each of the program's governance committees and PhD students are required to have at least three of the four cores represented by the faculty on their individual research committees.

Undergraduate Courses
Bioinformatics Statistics Information science Life sciences
BINF 2345:
Introduction to Bioinformatics
STAT 3352:
Applied Statistics I
IFSC 1202:
Enterprise Information Science II
CHEM 2450:
Organic Chemistry Short Course
BINF 4445:
Bioinformatics Theory and Applications
IFSC 1305:
Problem-Solving Techniques
BIOL 2401:
Microbiology
IFSC 2300:
Object-Oriented Technology (Java Programming)
BIOL 3300:
Genetics
IFSC 3320:
Database Concepts
Graduate Courses
Bioinformatics Biostatistics Information science Life sciences
BINF 5445:
Bioinformatics Theory and
Applications
BIOL 5415:
Biometry
IFSC 5325:
Data Mining Concepts and Techniques
BIOL 5418:
Biotechnology
BINF 7193:
Bioinformatics Graduate Seminar
BIOL 7399:
Phylogenetics - Analysis of Molecular Data Sets
SYEN 5399:
Spatial Time Series
BIOL 4413/5413:
Immunology
BINF 7295:
Practical Topics in
Science Management
CPSC 7383:
Modeling And Simulation
BIOL 4417/5417:
Molecular Biology
BINF 8445:
Bioinformatics Masters
Capstone Project
PHSC 5143:
Molecular Modeling
PATH 5043:
Molecular and Biochemical Pathobiology
BINF 9100/9800:
Doctoral Research/Dissertation
Italics = UAMS courses, Bold = prerequisites for the Bioinformatics MS and PhD programs
Course Descriptions
Course Descriptions
Note: Subject to change without notice. Please contact the instructor or offering department to verify current status of courses.
Note: Please contact the Bioinformatics Program Director for advice concerning prerequisites for these courses.
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BINF 2345: Introduction to Bioinformatics
Associated Term: Fall
Instructors: Marico Howe
Prerequisite: MATH 1302 (algebra) or consent of the instructor.

An introduction to bioinformatics through a survey of the basic sciences influencing computational biology and an overview of information science influencing computational biology and an overview of information science strategies applicable to life, medical, and health sciences. Expect to develop an interdisciplinary approach to understanding the evolving field of bioinformatics in this three-hour (2 hrs. lecture/2 hr. lab) course. BINF 2345 webpage.

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CHEM 2450: Organic Chemistry Short Course
Associated Term: Fall
Instructors: Frank L. Setliff
Prerequisite: General Chemistry 2 (CHEM 1403) or Fundamental Chemistry 2 (CHEM 1401).

A brief survey of the fundamental types of organic compounds, their nomenclature, classification, preparation, and reactions. Primarily designed for students in home economics and nursing. Lecture three hours, laboratory three hours per week. Four credit hours.

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BIOL 2401: Microbiology
Associated Term: Fall and Spring
Instructors: Olga Mikhokilovna Tarasenko
Prerequisite: BIOL 1400 or 1401, or 1411 and 1412, CHEM 1400 or 1402, or their equivalents.

The morphology, physiology, and classification of microorganisms; the relationship of microorganisms to biotechnology, medicine, and nursing. Two hours lecture, four hours laboratory per week. Four credit hours.

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BIOL 3300: Genetics
Associated Term: Fall, Spring, and Summer
Instructors: Fusheng Tang
Prerequisites: 12 hours of biology to include Biology 1400 or 1401 or equivalent, four hours of chemistry; microbiology is recommended (contact the Bioinformatics Program Director concerning prerequisites to Genetics).

Basic principles and theories of inheritance with applications to plant, animal, and human heredity. Emphasis on roles of DNA and RNA and the genetics of microorganisms. Three hours lecture per week. Three credit hours.

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PHSC 5143: Molecular Modeling
Associated Term: Spring
Instructors: Cesar M. Compadre and Jerry A. Darsey
Prerequisites: Graduate Standing.

This UAMS course is an introduction to Molecular Modeling. The students will gain a basic understanding of the computational techniques used to understand chemical structure, its properties and the relationship between structure and function. 2 hours lecture, 1 hour lab. Syllabus.

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BIOL 4415/5415: Biometry
Associated Term: Fall
Instructors: William H. Baltosser
Prerequisites: 12 hours of biology, environmental health science, or earth science (in combination or singularly); MATH 1302 or higher numbered mathematics course; three hours of statistics; or consent of instructor. Graduate standing required if student enrolled in 5415.

A computer based course in experimental design, data analysis, and interpretation. The objective of the course is to teach the application of statistical procedures relevant to the academic emphasis of students, not statistics per se. Designed to be especially beneficial to those students planning to seek an advanced degree upon completion of their baccalaureate or to go into quality control or research positions. Two hours lecture and four hours laboratory. Four credit hours. Syllabus.

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BIOL 4418/5418: Biotechnology
Associated Term: Spring
Instructors: Maurice G. Kleve
Prerequisites: 19 hours of biology including 2401 and 3300; CHEM 1401 or 1403. BIOL 3400 and 4401/5401 are strongly recommended. BIOL 4417/5417 is also recommended or may be taken concurrently.

A study of the applied science of biotechnology designed to introduce students to the elements of a biotechnological career. Topics range from traditional biotechnology such as animal and plant tissue culture to contemporary molecular biotechnology and the use of recombinant DNA technology and genetic engineering in research and industry. Emphasis will be placed on current biomedical, pharmaceutical, and agri/industrial applications. Graduate students must complete and defend a term paper. Two hours lecture, four hours laboratory per week. Four credit hours.

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BIOL 4417/5417: Molecular Biology
Associated Term: Spring
Instructors: John M. Bush
Prerequisite: 19 hours in biology including both BIOL 2401 and 3300; CHEM 1401 or 1403. Successful completion of either BIOL 3400 or 4401 is strongly encouraged. If taken for graduate credit, the prerequisites also include a BS in biology or permission of the instructor.

A study of molecular biology theory and practice. Emphasis is on the study of model systems to understand the current approaches and laboratory techniques necessary to answer basic questions in current molecular biology. Two hours of lecture and four hours of laboratory per week. Four credit hours.

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BIOL 4413/5413: Immunology
Associated Term: Spring and Fall
Instructors: Olga Mikhokilovna Tarasenko
Prerequisite: General Biology and Chemistry plus at least one other course in Microbiology, Genetics, Biochemistry, or Cell Biology

Lectures will deal with the most important concepts in the Field of Immunology; much material will be dependent on independent study, including on-line biosafety trainings and tests, independent study topics such as “Genes and proteins in Immunology” or “Case-Studies in Immunology”, and self-quizzes. Four credit hours. Syllabus.

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PATH 5043: Molecular and Biochemical Pathobiology
Associated Term: Spring and Fall
Instructors: Randy Haun
Prerequisite: Consent of instructor.

Designed for graduate students in basic science and health related fields seeking an introduction to the principles of general pathology. the pathophysiology of selected diseases will be discussed in depth, with a focus on the molecular and biochemical mechanisms involved. Through discussions of published research, students will develop an appreciation of how basic and clinical research contribute to the understanding and treatment of specific diseases.

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BIOL 7399: Special Topics - Phylogenetics: Analysis of Molecular Data Sets
Associated Term: Spring
Instructors: William H. Baltosser
Prerequisites: Graduate Standing + Twelve (12) hours of upper-level course work from disciplines such as biology, biotechnology, chemistry, environmental health science, information science, computer science, or related courses (in combination or singularly); math 1302 or higher numbered mathematics course; three hours of statistics; or consent of instructor.

Instruction in the computational analysis of molecular data sets, primarily from a genealogic (phylogenetic) perspective. Learning is "hands-on" in that following instruction and the discussion of pertinent topics, students will analyze and interpret for themselves various data sets. The applicability of different procedures will be reinforced through select reading assignments. Offered according to demand. Three hours lecture per week. Three credit hours. Syllabus.

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STAT 3352: Applied Statistics I
Associated Term: Fall, Spring, and Summer
Instructors: Daniel B. McCallum
Prerequisite: a grade of C or greater in MATH 1305, 1342, or 1312.

Measures of central tendency and variation, probability distributions, sampling distributions, tests of hypotheses, confidence intervals. Three hours lecture. Three credit hours. Syllabus.

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IFSC 1305: Problem-Solving Techniques
Associated Term: Fall and Spring
Instructors: Owen J. Murphy
Prerequisite: MATH 1302 or equivalent. Corequisite: IFSC 1201 or equivalent.

Examines methods of problem solving in mathematical and non-mathematical contexts. Introduces concepts that pertain to the programming and code patterns, and various diagramming techniques. Uses spreadsheet software and other software tools when appropriate. Three hours lecture per week. Three credit hours.

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IFSC 1202: Enterprise Information Science II (programming with Visual Basic)
Associated Term: Spring and Fall
Instructors: Marico Cobett Bryant Howe, Michael M. McMillan
Prerequisite: IFSC 1201 or consent of the department.

Continuation of Enterprise Information Science I (many students can get a waiver for Enterprise Information Science I); includes introduction to UNIX and basic algorithm and programming in Visual Basic and elementary SQL, emphasis on understanding graphical user interface technology. This is a laboratory computer-based course with lab exercises pursed individually and in teams. Two hours lab per week per credit hour. Two credit hours.

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IFSC 2300: Object-Oriented Technology (programming with Java)
Associated Term: Fall
Instructors: TBA
Prerequisites: IFSC 1202 or other introductory programming course and IFSC 1305.

Computer programming in Java. Language used to implement applications that employ objects and demonstrate software development by refinement and inheritance. Topics include data types, control structures, repetitive structures; data structures including arrays, lists, queues, stacks, and trees; recursion; and File I/O. Two hours lecture and three hours lab per week. Three credit hours.

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IFSC 3320: Database Concepts
Associated Term: Fall
Instructors: Ningning Wu
Prerequisites: junior standing or consent of the instructor.

Offers an introduction to the fundamentals and use of relational databases and focuses on four major topics: ER-diagram, relational algebra, SQL language and Oracle. Three hours lecture. Three credit hours.

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IFSC 5325: Data Mining Concepts and Techniques
Associated Term: Spring
Instructors: Ningning Wu
Prerequisite: IFSC 3330 or equivalent.

In-depth, practical coverage of essential data mining topics, including OLAP and data warehousing, data preprocessing, concept description, association rules, classification and prediction, and cluster analysis. Advanced topics include mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. Three hours lecture. Three credit hours.

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SYEN 5399: Special Topics - Spatial Time Series
Associated Term: Spring
Instructors: Yupo Chan
Prerequisite: Graduate Standing

A special topics course related to signal processing, concerning the use of spatial-temporal models in modeling large numbers of time-series. Three hours lecture per week. Three credit hours. Syllabus.

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CPSC 7383: Modeling And Simulation
Associated Term: Spring
Instructors: Coskun Bayrak
Prerequisite: CPSC 2380; MATH 1305 or MATH 1312; knowledge of statistics and probability.

Performance analysis of models of various systems using analytical approaches, discrete and continuous simulation, and hybrid techniques. Three hours lecture per week. Three credit hours. Website.

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BINF 4445/5445: Bioinformatics Theory and Applications
Associated Term: Fall
Instructors: Steven F. Jennings and Dan Berleant
Prerequisites: Instructor's permission plus the following:
  • BIOL 3300: Genetics or equivalent
  • IFSC 3320: Database Concepts or equivalent
  • IFSC 2300: Object-oriented Technology (Java Programming) or experience with another object-oriented programming language such as "C++"
  • STAT 3352: Applied Statistics I or equivalent
  • MATH 1304: Calculus I or equivalent recommended
  • BINF 2345: Introduction to Bioinformatics recommended
  • Some exposure to molecular biology recommended
An overview of concepts central to the study and application of bioinformatics drawing upon the fields of biostatistics, computer and information science, and the life sciences. Three hours of lecture plus two hours of laboratory per week. Four credit hours. BINF 4445/5445 webpage.

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BINF 7193: Bioinformatics Graduate Seminar
Associated Term: Spring and Fall
Instructors: Dr. Steven Jennings
Prerequisite: Graduate Standing

the required seminar series for students enrolled in the bioinformatics program. Draws upon lectures given in the UALR CyberCollege/CSAM Colloquia, and several seminar series at UAMS. One credit hour. BINF 7193 webpage.

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BINF 7295: Practical Topics in Science Management
Associated Term: Spring
Course Director: Steven F. Jennings
Prerequisite: None

A survey of practical topics relevant to practicing scientists and engineers such as ethics, project management, and grant writing. While an emphasis is placed on bioinformatics, topics will be of interest to all participating in science and engineering projects. Two credit hours. BINF 7295 webpage.

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BINF 8445: Bioinformatics Masters Capstone Project
Associated Term: Spring
Course Director: Steven F. Jennings
Prerequisite: Prerequisites: Course Director's permission and completion of at least one graduate-level course in each of the four core areas of the Joint Graduate Program in Bioinformatics (must include BINF 5445: Bioinformatics Theory and Applications).

This course provides a structured context in which the student completes an individual capstone project for the Masters Degree in Bioinformatics. The project draws upon all four core areas of the UALR/UAMS Joint Graduate Program in Bioinformatics and is done under the direction of a project mentor who is a member of the joint program's graduate faculty. For students who continue their studies in the joint program's Ph.D. program, this project should form the foundation of their dissertation research. The project culminates in a written paper and an oral defense; it is evaluated by the Course Director and the joint program's Graduate Student Committee, unless a student has already formed an individual PhD advisory committee. Four credit hours. BINF 8445 webpage.

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BINF 9100/9800: Doctoral Research/Dissertation
Associated Term: Fall and Spring
Instructors: Steven Jennings
Prerequisite: Completion of MS

Final dissertation/thesis. One to eight credit hours.

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