Kinesiology and Integrative Physiology

Program Courses

BE 5550 - Biostatistics for Health Science Research

An overview course of biostatistical methods used in the health sciences. Topics include a review of undergraduate statistical concepts, NIH, CDC, and FDA guidelines for clinical trial research, proper use of biostatistical methods including anova models, logistic regression, risk analysis, survivorship analysis and any other statistical methods that are common in the enrolled students' discipline.

  • Credits: variable to 4.0
  • Semesters Offered: On Demand
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate
  • Pre-Requisite(s): MA 2720 or MA 3710

BL 4010 - Biochemistry I

Structure, biochemical properties, and function of important biomolecules such as proteins and nucleic acids. Introduces enzyme biochemistry (structure, function, catalysis, kinetics, and inhibition).

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Fall, Summer
  • Pre-Requisite(s): (BL 1020 or BL 1040 or BE 2400) and BL 2100 and (CH 2410 or CH 2420)

BL 4020 - Biochemistry II

Dynamic aspects of living systems. Broad exposure to cellular metabolic pathways, intermediary metabolism and its regulation and bioenergetics.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Spring, Summer
  • Pre-Requisite(s): BL 4010

BL 4380 - Cardiopulmonary Physiology

Using a problem-based learning approach, course examines the physiology of the human body. In-class case-study analyses provide in-depth learning about the cardiovascular and pulmonary systems and their relationship with other organ systems. Promotes development of problem-solving skills.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Fall
  • Pre-Requisite(s): BL 2020

BL 5350 - Special Topics in Physiology

A discussion of recent developments in physiology. Recent offerings have included respiratory physiology, renal physiology, clinical cardiology, and neurophysiology.

  • Credits: variable to 10.0; Repeatable to a Max of 10
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: Permission of instructor required; Must be enrolled in one of the following Level(s): Graduate

MA 4710 - Regression Analysis

Covers simple, multiple, and polynomial regression; estimation, testing, and prediction; weighted least squares, matrix approach, dummy variables, multicollinearity, model diagnostics and variable selection. A statistical computing package is an integral part of the course.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall
  • Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715

MA 4720 - Design and Analysis of Experiments

Covers construction and analysis of completely randomized, randomized block, incomplete block, Latin squares, factorial, fractional factorial, nested and split-plot designs. Also examines fixed, random and mixed effects models and multiple comparisons and contrasts. The SAS statistical package is an integral part of the course.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Spring
  • Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715

MA 5701 - Statistical Methods

Introduction to design, conduct, and analysis of statistical studies, with an introduction to statistical computing and preparation of statistical reports. Topics include design, descriptive, and graphical methods, probability models, parameter estimation and hypothesis testing.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

PSY 5010 - Cognitive Psychology

A systematic survey of classical and contemporary research topics in human cognition, including perception, attention, mental representation and processing, memory, knowledge, visual imagery, problem solving, reasoning, and decision making. Students will read original research papers and develop a research proposal.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

PSY 5210 - Advanced Statistical Analysis and Design I

An overview of data analysis methods including visualization, data programming, and univariate statistics such as t-test and ANOVA.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-1)
  • Semesters Offered: Fall - Offered alternate years beginning with the 2018-2019 academic year
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

PSY 5220 - Advanced Statistical Analysis and Design II

Course covers multivariate statistics such as ANCOVA, Multiple Regression, factor analysis, clustering, machine learning, and mixture modeling.

  • Credits: 3.0; Repeatable to a Max of 12
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Spring - Offered alternate years beginning with the 2018-2019 academic year
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate
  • Pre-Requisite(s): PSY 5110

PSY 5850 - Human Factors Psychology

Advanced concepts critical to the design of human-technological systems, such as capitalizing upon human capabilities and compensating for human limitations. Topics may include perceptual and motor abilities, human error and cognitive engineering.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall - Offered alternate years beginning with the 2019-2020 academic year
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

PSY 6991 - Special Topics in Human Factors

Study of special topics in human factors as designed by section title.

  • Credits: variable to 3.0; Repeatable to a Max of 9
  • Semesters Offered: On Demand
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate