Competencies and Learning Objectives for

Number Competency Specific course(s) that allow assessment
1Apply the theoretical foundations of probability theory and distribution theoryBIOSTAT601
2Apply foundational mathematical statistical concepts and skills for conducting statistical inferenceBIOSTAT602
3Perform linear regression model fitting and diagnostic assessmentBIOSTAT650
4Understand the main components of generalized linear models and how to choose an appropriate model based on the outcomes and study designBIOSTAT651
5Fit generalized linear models for various outcome types and provide correct interpretation of the resultsBIOSTAT651
6Use general linear models and linear mixed models for analyzing correlated continuous data, as well as marginal (i.e. generalized estimating equations), conditional (i.e. generalized linear mixed model) and transition models for analyzing correlated discrete dataBIOSTAT653
7Properly interpret and present the results from such longitudinal analysis to both methods and substantive audiencesBIOSTAT653
8Analyze, interpret, and communicate through written and oral presentation the results of a statistical analysis of biomedical data to an audience from a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, nursing, or pharmacy) and for the broad scientific communityBIOSTAT699

Number Competency Specific course(s) that allow assessment
1Apply the theoretical foundations of probability theory and distribution theoryBIOSTAT601
2Apply foundational mathematical statistical concepts and skills for conducting statistical inferenceBIOSTAT602
3Apply data science techniques in the analysis of health data, including data cleaning, exploratory data analysis, and data visualizationBIOSTAT620
4Apply descriptive and inferential methodologies according to the type of study design or sampling technique for answering a particular public health questionBIOSTAT625
5Apply basic informatics and computational techniques in the analysis of big health data, and interpret results of statistical analysisBIOSTAT626
6Master the theoretical foundations to design and apply machine learning algorithms in biomedical applications. Understand the process of developing and assessing machine learning algorithms, including design principles, parameter estimations, and performance evaluation. Understand a diverse set of commonly used machine learning algorithms in both supervised and unsupervised learning scenariosBIOSTAT626
7Apply quantitative techniques commonly used to summarize and display big public health dataBIOSTAT629
8Perform linear regression model fitting and diagnostic assessmentBIOSTAT650
9Understand the main components of generalized linear models and how to choose an appropriate model based on the outcomes and study designBIOSTAT651
10Fit generalized linear models for various outcome types and provide correct interpretation of the resultsBIOSTAT651

Number Competency Specific course(s) that allow assessment
1Describe sources and processes involved in the transport, behavior and fate of toxic chemicals in the environment and workplaceEHS652
2Recognize adverse health consequences of common environmental and occupational exposures to chemical, physical, and biological hazardsEHS603
3Interpret EHS info within the context of public healthEHS652
4Apply basic research techniques to investigate exposures to, or health effects resulting from, environmental health hazardsThesis
5Demonstrate oral and written presentation skills by communicating results of an investigational environmental health project or study to other professionals and the publicThesis

Number Competency Specific course(s) that allow assessment
1Identify and describe the qualitative and quantitative aspect of hazardous workplace agents, factors, and stressors associated with defined sources and/or processesEHS652
2Assess qualitative, quantitative, and statistical aspects of workplace hazards and exposures, and consequent health risks based on applicable pathways and modes of actionEHS652
3Explain the physiological, toxicological, and/or biomechanical interactions of physical, chemical, biological, mechanical, and ergonomic agents, factors, and/or stressors found in the workplace with the human bodyEHS603, EHS556, EHS602
4Analyze, interpret, and apply statistical and epidemiological dataPUBHLTH512, EPID601, Thesis
5Demonstrate the ability to formulate, design, and conduct a research investigation; analyze and interpret the data; and present the results and conclusionsThesis

Number Competency Specific course(s) that allow assessment
1Explain basic principles of toxicology and their application to public healthEHS602
2Perform effectively in teams to design, conduct, and interpret studies that assess toxicological mechanisms and adverse responses resulting from defined exposures to chemicalsThesis
3Explain how molecular mechanisms, biological processes, and chemical reactivity influence possible toxicant targets at the molecular, cellular, organ, and physiological levelEHS616
4Apply toxicological knowledge and skills to the risk assessment of chemicalsEHS602
5Demonstrate oral and written presentation skills by communicating results of an investigational toxicology project or study to other professionals and the publicThesis

Number Competency Specific course(s) that allow assessment
1Interpret key findings from advanced nutritional researchNUTR688, NUTR698/9
2Develop a discovery-based research study to evaluate some aspect of nutritional sciencesNUTR698/9
3Predict consequences that result from defects in specific metabolic pathways, including vitamin and macronutrient deficiencies or inborn errors of metabolismNUTR630
4Deduce how specific micronutrient deficiencies relate to poor health including the mechanism(s) of actionNUTR631
5Analyze quantitative data using biostatistics, informatics, computer-based programming and software, as appropriateBIOSTAT521
6Apply the principles and methods of nutrition assessment to monitor nutritional status and trends, identify at-risk individuals & groups, and investigate diet and disease relationshipsNUTR640