Learning Outcomes: 1. Identify and respond appropriately to real-life engineering ethics cases relevant to co-op work
Audience: Undergraduate

2. Synthesize and apply appropriate technical education to real world technical work
Audience: Undergraduate

3. Communicate effectively in writing and speaking with a range of audiences in the workplace, including those without disciplinary expertise
Audience: Undergraduate

4. Develop professional and transferable habits like time management skills, collaborative problem-solving skills, and research skills for learning new information
Audience: Undergraduate

Learning Outcomes: 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
Audience: Undergraduate

2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
Audience: Undergraduate

3. an ability to communicate effectively with a range of audiences
Audience: Undergraduate

4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
Audience: Undergraduate

5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
Audience: Undergraduate

6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
Audience: Undergraduate

7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies
Audience: Undergraduate

Learning Outcomes: 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
Audience: Undergraduate

2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
Audience: Undergraduate

3. an ability to communicate effectively with a range of audiences
Audience: Undergraduate

4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
Audience: Undergraduate

5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
Audience: Undergraduate

6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
Audience: Undergraduate

7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies
Audience: Undergraduate

Learning Outcomes: 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
Audience: Undergraduate

2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
Audience: Undergraduate

3. an ability to communicate effectively with a range of audiences
Audience: Undergraduate

4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
Audience: Undergraduate

5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
Audience: Undergraduate

6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
Audience: Undergraduate

7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies
Audience: Undergraduate

Learning Outcomes: 1. Solve mathematical problems for electrical and electronic circuits
Audience: Undergraduate

2. Employ simulation tools to analyze electrical and electronic circuits
Audience: Undergraduate

3. Design and build basic instrumentation system for measuring physiological and biological signals
Audience: Undergraduate

4. Program a microcontroller to acquire and process physiological and biological signals
Audience: Undergraduate

5. Perform experiments using the instrumentation system, analyze data and draw conclusions
Audience: Undergraduate

Learning Outcomes: 1. Apply mechanical equilibrium analyses to compute forces acting on tissues, organs and structures within the human body
Audience: Undergraduate

2. Examine mechanical stress and deformation associated with the loading of biological tissues
Audience: Undergraduate

3. Analyze, interpret and present data collected during experiments in biomechanics
Audience: Undergraduate

4. Describe the relevance of mechanics for investigating biological systems at scales ranging from cellular to the whole body
Audience: Undergraduate

Learning Outcomes: 1. interpret statistics that are presented and recognize statistical evidence that supports a conclusion
Audience: Undergraduate

2. apply descriptive statistical analysis to data
Audience: Undergraduate

3. make inferences based on sampled data (test a hypothesis)
Audience: Undergraduate

4. present data and statistical analysis in appropriate graphical format
Audience: Undergraduate

Learning Outcomes: 1. Assess the relationship between system variables based on dimensional homogeneity and dimensional analysis
Audience: Undergraduate

2. Convert a reaction system into a series of kinetic equations
Audience: Undergraduate

3. Recognize the parallels between different transport mechanisms
Audience: Undergraduate

4. Analyze kinetic and transport equations to determine dynamic and steady state behavior
Audience: Undergraduate

5. Evaluate how the physical principles of kinetics and transport constrain living organisms and impact the design and interpretation of biological experiments
Audience: Undergraduate

Learning Outcomes: 1. Conduct and report on independent biomedical engineering research
Audience: Undergraduate

2. Formulate hypotheses into experimental methods
Audience: Undergraduate

Learning Outcomes: 1. Conduct and report on independent biomedical engineering research
Audience: Undergraduate

Learning Outcomes: 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
Audience: Undergraduate

2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
Audience: Undergraduate

3. an ability to communicate effectively with a range of audiences
Audience: Undergraduate

4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
Audience: Undergraduate

5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
Audience: Undergraduate

6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
Audience: Undergraduate

7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies
Audience: Undergraduate

Learning Outcomes: 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
Audience: Undergraduate

2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
Audience: Undergraduate

3. an ability to communicate effectively with a range of audiences
Audience: Undergraduate

4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
Audience: Undergraduate

5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
Audience: Undergraduate

6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
Audience: Undergraduate

7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies
Audience: Undergraduate

Learning Outcomes: 1. Apply engineering mechanics (statics, dynamics, mechanics of materials) to analyze human joints
Audience: Both Grad & Undergrad

2. Describe sources and implications of patient-to-patient variability in functional anatomy, biomechanics, and disease states
Audience: Both Grad & Undergrad

3. Synthesize knowledge about functional anatomy, biomechanics, and disease states to define clinical needs and design inputs
Audience: Both Grad & Undergrad

4. Justify design decisions and testing plans based on rigorous engineering calculations through both written and oral communication
Audience: Both Grad & Undergrad

5. Formulate rigorous testing plans for design and device verification and validation based on established standards and/or guidance documents
Audience: Both Grad & Undergrad

6. Analyze interactions between multiple sources of variability
Audience: Graduate

Learning Outcomes: 1. Identify and describe fundamental concepts and methods in movement biomechanics
Audience: Both Grad & Undergrad

2. Apply fundamental concepts and methods in biomechanics to acquire experience and gain confidence using engineering tools to study movement
Audience: Both Grad & Undergrad

3. Establish a framework for self-teaching and research through open-ended laboratory assignments and a research project
Audience: Both Grad & Undergrad

4. Constructively review and provide feedback on written research proposals related to movement biomechanics
Audience: Graduate

Learning Outcomes: 1. Integrate biology, material science, and engineering
Audience: Undergraduate

2. Evaluate the design of materials for specific biomedical applications
Audience: Undergraduate

3. Formulate experimental designs and demonstrate data analyses to assess biological responses to materials
Audience: Undergraduate

4. Describe the clinical utility and limitations of various materials for specific biomedical applications
Audience: Undergraduate

5. Demonstrate practical understanding of biomaterial-based laboratory safety and techniques
Audience: Undergraduate

Learning Outcomes: 1. Solve complicated mathematical problems for electrical and electronic circuits
Audience: Both Grad & Undergrad

2. Employ simulation tools to test and analyze electronic circuits for measuring physiological signals
Audience: Both Grad & Undergrad

3. Design electronic schematics for advanced instrumentation system using software tools
Audience: Both Grad & Undergrad

4. Solder and build advanced instrumentation system for measuring physiological signals
Audience: Both Grad & Undergrad

5. Program a microcontroller to acquire and process physiological signals
Audience: Both Grad & Undergrad

6. Perform experiments using the instrumentation system, analyze data and draw conclusions
Audience: Both Grad & Undergrad

7. Demonstrate an ability to formulate, analyze and, independently design and build instrumentation system to measure physiological signals
Audience: Graduate

Learning Outcomes: 1. Solve complicated mathematical problems with design of digital filters for biomedical signals
Audience: Both Grad & Undergrad

2. Build electrocardiogram (ECG) instrumentation system to view their ECG and use it as an input to a microcontroller for signal analysis
Audience: Both Grad & Undergrad

3. Employ simulation tools to design and test a variety of linear digital filters
Audience: Both Grad & Undergrad

4. Perform experiments, analyze and interpret the performance of digital filters on a database of ECGs
Audience: Both Grad & Undergrad

5. Write microcontroller code for real-time processing of biomedical signals, particularly the ECG, to attenuate diverse noise sources and find clinically-significant features
Audience: Both Grad & Undergrad

6. Demonstrate an ability to formulate and, independently design and implement digital filters and algorithm to process biomedical signals
Audience: Graduate

Learning Outcomes: 1. Conduct and report on independent biomedical engineering research
Audience: Undergraduate

2. Formulate hypotheses into experimental methods
Audience: Undergraduate

3. Prepare and defend experimental results and conclusions
Audience: Undergraduate

Learning Outcomes: 1. Use the physics of microscopic structures of nucleus, nuclear decay, electronic structure of atoms to calculate nuclear decay lifespan and solid state energy band structure
Audience: Both Grad & Undergrad

2. Calculate the radiation power spectrum for an accelerating charge particle under different physical conditions
Audience: Both Grad & Undergrad

3. Calculate cross-sections for the following interaction processes between photons and matter: Rayleigh scattering, photoelectric effect, Compton scattering, and pair production
Audience: Both Grad & Undergrad

4. Calculate the scattering cross-section of Coulomb scattering and energy transfer cross-section in collisions processes and radiative energy loss processes
Audience: Both Grad & Undergrad

5. Calculate radiation dose for both external photon beams, neutron beams, and charged particle beams
Audience: Both Grad & Undergrad

6. Identify open research topics in radiation imaging, radiation therapy, and radiation protection fields
Audience: Graduate

Learning Outcomes: 1. Explain the physical properties of a fluid and the consequence of such properties on fluid flow; compare and contrast non-Newtonian models for blood rheology
Audience: Both Grad & Undergrad

2. State the conservation principles of mass, linear momentum, and energy for fluid flow
Audience: Both Grad & Undergrad

3. Analyze systems using the conservation equations
Audience: Both Grad & Undergrad

4. Identify the relevant parameters that govern a fluid system and use dimensional analysis to identify the fundamental variables that define flow
Audience: Both Grad & Undergrad

5. Describe the flow dynamic metrics in different physiological or pathological conditions
Audience: Both Grad & Undergrad

6. Identify the role of other professionals in biofluid mechanics
Audience: Graduate

7. Foster skills to interact with clinical professionals
Audience: Graduate

Learning Outcomes: 1. Identify the experimental assay that is appropriate to characterize a particular cellular behavior
Audience: Both Grad & Undergrad

2. Describe how to tailor mechanical properties, cell-material interactions, growth factor/gene delivery, and bioreactor conditions to match the needs of a biological system
Audience: Both Grad & Undergrad

3. Critically evaluate tissue engineering approaches
Audience: Both Grad & Undergrad

4. Assess a biological system and develop a tissue engineering strategy
Audience: Both Grad & Undergrad

5. Summarize and synthesize recent tissue engineering related research from various resources
Audience: Graduate

Learning Outcomes: 1. Identify and describe the biology of, growth conditions for and laboratory equipment used in tissue culture
Audience: Undergraduate

2. Design and conduct laboratory experiments, including making measurements and interpreting experimental data from living systems
Audience: Undergraduate

3. Apply knowledge of advanced mathematics and statistical analysis to evaluate scientific outcomes
Audience: Undergraduate

4. Communicate scientific findings from experimental results effectively
Audience: Undergraduate

Learning Outcomes: 1. Define the finite element method, explain its mathematical basis, and articulate alternatives
Audience: Both Grad & Undergrad

2. Justify the selection of a constitutive model for a particular modeling application
Audience: Both Grad & Undergrad

3. Design and complete validation and verification analyses
Audience: Both Grad & Undergrad

4. Build and analyze a finite element model, and present relevant results
Audience: Both Grad & Undergrad

5. Complete a term project using finite element analysis individually
Audience: Graduate

Learning Outcomes: 1. Identify and describe a wide variety of engineering approaches that have advanced our understanding of biology
Audience: Undergraduate

2. Assimilate presented topics with relevant literature into writing
Audience: Undergraduate

Learning Outcomes: 1. Describe the historical development and current state of stem cell engineering
Audience: Both Grad & Undergrad

2. Model stem cell signaling
Audience: Both Grad & Undergrad

3. Characterize the technical features and functions of stem cell therapy
Audience: Both Grad & Undergrad

4. Evaluate stem cell-based tissue development and regeneration
Audience: Both Grad & Undergrad

5. Demonstrate higher-order synthesis and analysis to address a current problem in stem cell bioengineering
Audience: Graduate

Learning Outcomes: 1. Derive and solve bioheat transfer problems relevant to therapeutic hyperthermia and hypothermia
Audience: Both Grad & Undergrad

2. Explain changes at the tissue and cellular levels during thermal therapies
Audience: Both Grad & Undergrad

3. Analyze technologies that apply electromagnetic and acoustic energy to tissue
Audience: Both Grad & Undergrad

4. Discuss medical applications and regulatory guidelines/requirements involving energy-tissue interactions
Audience: Both Grad & Undergrad

5. Demonstrate an advanced ability to synthesize recent literature, formulate technical problems, and describe plausible solutions
Audience: Graduate

Learning Outcomes: 1. Describe the structure and function of individual ECM components and their relevance to physiological and pathophysiological processes
Audience: Both Grad & Undergrad

2. Apply biological knowledge of the ECM to inform the manipulation, mimicking, or engineering of ECM-based systems
Audience: Both Grad & Undergrad

3. Critically evaluate ECM engineering approaches
Audience: Both Grad & Undergrad

4. Apply advanced knowledge of bioconjugate chemistry to design dynamic scaffold platforms
Audience: Graduate

Learning Outcomes: 1. Identify prominent materials and their properties commonly used in fabrication of biomedical microdevices
Audience: Both Grad & Undergrad

2. Analyze and implement microfabrication techniques for patterning, lithography, etching and deposition
Audience: Both Grad & Undergrad

3. Understand and design fabrication processes with appropriate fabrication tools for biomedical microdevices
Audience: Both Grad & Undergrad

4. Describe the principles underlying the interface between biological samples and different microdevices
Audience: Both Grad & Undergrad

5. Analyze, demonstrate, and communicate recent scientific literature in the field of biomedical microdevices
Audience: Graduate

Learning Outcomes: 1. Describe the structure and function of individual extracellular matrix (ECM) components and their relevance to physiological and pathophysiological processes
Audience: Both Grad & Undergrad

2. Apply biological knowledge of the ECM to inform the manipulation, mimicking, or engineering of ECM-based systems
Audience: Both Grad & Undergrad

3. Critically evaluate ECM engineering approaches
Audience: Both Grad & Undergrad

4. Apply advanced knowledge of bioconjugate chemistry to design dynamic scaffold platforms
Audience: Graduate

Learning Outcomes: 1. Apply principles of chemical engineering in the analysis and design of industrial biochemical processes
Audience: Both Grad & Undergrad

2. Describe the role chemistry plays in understanding how bio-molecules and bio-molecular systems work
Audience: Both Grad & Undergrad

3. Extract, communicate and critique key idea(s) from any work of the current technical literature
Audience: Both Grad & Undergrad

4. Identify opportunities for biochemical engineering to address societal needs (e.g., energy, health, materials, food, and the environment)
Audience: Both Grad & Undergrad

5. Demonstrate how chemical engineering principles can be applied to alter the molecular properties of a biological system
Audience: Graduate

Learning Outcomes: 1. Evaluate jobs, equipment, tools, products, and environments, in which people play a significant role, for health and safety hazards and the risk of injuries and illnesses
Audience: Both Grad & Undergrad

2. Devise how to reduce or eliminate physical stresses and the risk of injuries and illnesses in jobs, equipment, tools, products, and environments
Audience: Both Grad & Undergrad

3. Design jobs, workspaces and products for a diverse work population, to accommodate the variability of human dimensions strength, endurance, and physical capacity to do work
Audience: Both Grad & Undergrad

4. Design jobs equipment, tools, products, and environments so that human capabilities are maximized, physical stress is minimized, and workload is optimized
Audience: Both Grad & Undergrad

5. Identify fundamental physiological principles and biomechanical theories that are germane to the evaluation, design and reduction or elimination of stresses and strain in jobs, equipment, tools, products, and environments
Audience: Graduate

Learning Outcomes: 1. Demonstrate knowledge of the potentials and limits, with respect to fundamental physics, of ionizing radiation production and therapy
Audience: Both Grad & Undergrad

2. Apply the concepts and/or techniques of radiation physics in cancer therapy
Audience: Both Grad & Undergrad

3. Accurately compute radiation dose and dose delivery for clinically acceptable conditions
Audience: Both Grad & Undergrad

4. Communicate applied concepts in a clear and understandable manner
Audience: Undergraduate

5. Communicate complex applied concepts in a clear and understandable manner, including concepts of medical imaging, radiation biology, radiation production, and radiation detection as they apply to radiation physics in cancer therapy
Audience: Graduate

Learning Outcomes: 1. Learn the physics and technology of medical x-ray system design and the parameters that determine image contrast, noise, spatial resolution, and patient radiation dose.
Audience: Both Grad & Undergrad

2. Gain a detailed knowledge of x-ray sources, x-ray detectors, and data acquisition strategies used in radiography, mammography, fluoroscopy, angiography and computed tomography.
Audience: Both Grad & Undergrad

3. Apply a knowledge of x-ray systems and physics to analyze and compare the performance of different medical x-ray imaging systems.
Audience: Both Grad & Undergrad

4. Through laboratory modules, receive hands on experience concerning the first three objectives. This includes learning the proper means for evaluating the performance and conducting measurements on x-ray systems which are commonly done by a clinical medical physicist.
Audience: Both Grad & Undergrad

5. Identify the defining strengths and limitations with utilizing the imaging modalities for conducting research investigations of human physiology and disease.
Audience: Graduate

Learning Outcomes: 1. Identify the mechanisms in which nuclear magnetic resonance harnessed for imaging
Audience: Both Grad & Undergrad

2. Differentiate the different MRI sequences used and the appearance of disease aspects in each of these sequences
Audience: Both Grad & Undergrad

3. Evaluate potential biological effects of imaging on patients and effects of patients on imaging
Audience: Both Grad & Undergrad

4. Contextualize the acquired knowledge to formulate research questions to solve specific clinical needs
Audience: Graduate

Learning Outcomes: 1. Summarize the utility of signal analysis in one and several dimensions
Audience: Both Grad & Undergrad

2. Identify and apply convolutions and Fourier Transforms in one and several dimensions
Audience: Both Grad & Undergrad

3. Apply the properties of the Fourier Transform in medical physics and other biomedical settings
Audience: Both Grad & Undergrad

4. Illustrate the limitations of the Fourier transform, and recall the advantages of alternative signal analysis tools (e.g. wavelet transform)
Audience: Graduate

5. Distinguish between types of optimization problems, including convex vs non-convex, and unconstrained vs constrained
Audience: Both Grad & Undergrad

6. Recognize the relative performance of basic optimization algorithms
Audience: Both Grad & Undergrad

7. Formulate image reconstruction as an optimization problem
Audience: Both Grad & Undergrad

8. Formulate therapy planning as an optimization problem
Audience: Both Grad & Undergrad

9. Implement practical optimization algorithms using computational methods
Audience: Both Grad & Undergrad

Learning Outcomes: 1. Explain principles underlying ultrasound propagation and biological effects of ultrasound.
Audience: Both Grad & Undergrad

2. Apply knowledge of clinical uses and limitations/artifacts of ultrasound imaging.
Audience: Both Grad & Undergrad

3. Recall the technical details of modern medical ultrasound devices and methods to measure acoustic parameters.
Audience: Both Grad & Undergrad

4. Utilize and integrate ultrasound imaging approaches for diagnostic and therapeutic research and clinical applications.
Audience: Graduate

Learning Outcomes: 1. Accurately describe, using the correct mathematics and terminology, how the signals for MRI and ultrasound are generated, the sensitivity of these techniques to tissue variations
Audience: Both Grad & Undergrad

2. Accurately describe, using the correct mathematics and terminology, spatial encoding methods for MRI and ultrasound and trade offs in imaging parameter and hardware selection
Audience: Both Grad & Undergrad

3. Identify and develop strategies to mitigate common artifacts
Audience: Both Grad & Undergrad

4. Understand how to apply the knowledge to their own research projects
Audience: Graduate

Learning Outcomes: 1. Identify the physical principles underlying imaging technologies used in radiology and nuclear medicine: radiography, mammography, fluoroscopy, computed tomography (CT), scintigraphy, single-photon emission tomography (SPECT), and positron emission tomography (PET).
Audience: Both Grad & Undergrad

2. Describe each imaging modality in terms of a general imaging framework in which (i) a form of energy or probe is introduced to the body, (ii) a clinically interesting signal is generated within the body, and (iii) this signal is detected and spatially localized to form an image.
Audience: Both Grad & Undergrad

3. Apply physics and engineering concepts to understand how the design and operation of an imaging system determines the contrast, noise, and spatial resolution of the images produced by the system.
Audience: Both Grad & Undergrad

4. Differentiate the characteristics of radiotracers that make them suitable for research and clinical applications in human physiology.
Audience: Both Grad & Undergrad

5. Identify the defining strengths and limitations with utilizing the imaging modalities for conducting research investigations of human physiology and disease.
Audience: Graduate

Learning Outcomes: 1. Identify and describe key theories, concepts, and methods in biomedical engineering
Audience: Undergraduate

2. Apply key theories, concepts, and methods in biomedical engineering, using appropriate tools, processes, and/or software
Audience: Undergraduate

Learning Outcomes: 1. Identify and describe key theories, concepts, and methods in biomedical engineering
Audience: Both Grad & Undergrad

2. Apply key theories, concepts, and methods in biomedical engineering, using appropriate tools, processes, and/or software
Audience: Both Grad & Undergrad

3. Apply, analyze, or evaluate advanced theories, concepts, or methods in biomedical engineering
Audience: Graduate

Learning Outcomes: 1. Identify and describe key theories, concepts, and methods in bioinstrumentation and medical devices
Audience: Both Grad & Undergrad

2. Apply key theories, concepts, and methods in bioinstrumentation and medical devices, using appropriate tools, processes, and/or software
Audience: Both Grad & Undergrad

3. Apply, analyze, or evaluate advanced theories, concepts, or methods in bioinstrumentation and medical devices
Audience: Graduate

Learning Outcomes: 1. Identify and describe key theories, concepts, and methods in biomedical imaging and optics
Audience: Both Grad & Undergrad

2. Apply key theories, concepts, and methods in biomedical imaging and optics, using appropriate tools, processes, and/or software
Audience: Both Grad & Undergrad

3. Apply, analyze, or evaluate advanced theories, concepts, or methods in biomedical imaging and optics
Audience: Graduate

Learning Outcomes: 1. Identify and describe key theories, concepts, and methods in biomechanics
Audience: Both Grad & Undergrad

2. Apply key theories, concepts, and methods in biomechanics, using appropriate tools, processes, and/or software
Audience: Both Grad & Undergrad

3. Apply, analyze, or evaluate advanced theories, concepts, or methods in biomechanics
Audience: Graduate

Learning Outcomes: 1. Identify and describe key theories, concepts, and methods in biomaterials, cellular and tissue engineering
Audience: Both Grad & Undergrad

2. Apply key theories, concepts, and methods in biomaterials, cellular and tissue engineering, using appropriate tools, processes, and/or software
Audience: Both Grad & Undergrad

3. Apply, analyze, or evaluate advanced theories, concepts, or methods in biomaterials, cellular and tissue engineering
Audience: Graduate

Learning Outcomes: 1. Mathematically and conceptually define stress and strain tensors
Audience: Both Grad & Undergrad

2. Calculate stress given a deformation and a constitutive relationship
Audience: Both Grad & Undergrad

3. Describe key features of tissue mechanics
Audience: Both Grad & Undergrad

4. Describe structure-function relationships for biological tissues
Audience: Both Grad & Undergrad

5. Summarize and present current biomechanical knowledge on a specific tissue
Audience: Graduate

Learning Outcomes: 1. Develop an evolving competitive landscape analysis
Audience: Both Grad & Undergrad

2. Identify common issues in manufacturing/supply chain
Audience: Both Grad & Undergrad

3. Describe key aspects of clinical trial design
Audience: Both Grad & Undergrad

4. Discuss intellectual property both In theory and in practice
Audience: Both Grad & Undergrad

5. Articulate the differences between regulatory pathways in Europe and the United States
Audience: Graduate

6. Define key aspects of pre-clinical testing, including Quality Systems, Good Laboratory Practices, and Good Manufacturing Practices
Audience: Graduate

Learning Outcomes: 1. Identify and use optical tools and instruments and construct optical imaging systems
Audience: Both Grad & Undergrad

2. Measure optical resolution and summarize parameters, such as optical aberrations, illumination and collecting optical system settings, that affect resolution in optical imaging
Audience: Both Grad & Undergrad

3. Implement Kohler illumination, identify conjugate planes and illustrate Abbe theory of image formation on a hands-on optical hardware
Audience: Both Grad & Undergrad

4. Measure contrast in different microscopy techniques and identify parameters that contribute to signal-to-background
Audience: Both Grad & Undergrad

5. Measure and analyze light spectra using filters and spectrometers to identify different light sources, and nanoparticle and light interactions
Audience: Both Grad & Undergrad

6. Follow and implement written experiment protocols, collect, and analyze data, and write coherent reports presenting experimental findings
Audience: Both Grad & Undergrad

7. Identify and evaluate an optical imaging setup that was developed in a recently published journal article applying knowledge that was learned in class
Audience: Graduate

Learning Outcomes: 1. Explain the access and usability issues that users with physical, sensory, or cognitive impairments due to age or permanent or temporary disability might experience when interacting with everyday products and environmental designs
Audience: Both Grad & Undergrad

2. Apply human factors principles of universal design to describe redesign solutions for common products and environmental designs to improve accessibility for all users
Audience: Both Grad & Undergrad

3. Identify barriers to access for users based on specific disabilities
Audience: Both Grad & Undergrad

4. Articulate common misconceptions and biases related to users with disabilities and use various data sources to discuss the reality of designing for users with disabilities or impairments
Audience: Both Grad & Undergrad

5. Identify usability issues for mass-market products and environmental designs using universal design and basic access principles
Audience: Both Grad & Undergrad

6. Propose methods for improving accessibility and usability using universal design and basic access principles
Audience: Both Grad & Undergrad

7. Articulate how social, institutional, and organizational structures and insufficiently designed systems and environments disadvantage various user groups, with special focus on aging and disabled users
Audience: Graduate

Learning Outcomes: 1. Gain knowledge of cardiovascular physiology and biology, use of genetic model organisms, stem cell biology and regenerative medicine (didactic portion of course; attendance, and exams).
Audience: Both Grad & Undergrad

2. Understand the main themes of heart biology by reading and discussing state-of-the-art literature (journal reviews; evaluated by lecturer for each journal review session).
Audience: Both Grad & Undergrad

3. Develop ability to critically evaluate published scientific research in the cardiovascular field by discussing with peers and instructors.
Audience: Both Grad & Undergrad

4. Analyze scientific data and methodology employed in the field of heart biology.
Audience: Graduate

5. Develop ability to create an experimental design for different types of heart biology research (such as hypothesis, methodology or phenomenon driven studies).
Audience: Graduate

6. Understand the current challenges for developing therapeutic strategies for heart disease and regeneration and propose feasible approaches to resolve these challenges.
Audience: Graduate

7. Understand the concepts of techniques and methods that are currently used for cardiac biology research.
Audience: Undergraduate

8. Describe the challenges for developing therapeutic strategies for heart disease and regeneration.
Audience: Undergraduate

Learning Outcomes: 1. Demonstrate understanding of technical presentations of current research in biomedical engineering
Audience: Graduate

2. Formulate and articulate a question regarding research presented in a technical seminar
Audience: Graduate

3. Analyze current scientific literature to draw connections to research presented in a technical seminar
Audience: Graduate

Learning Outcomes: 1. Identify and respond appropriately to real-life engineering ethics cases relevant to co-op work
Audience: Graduate

2. Synthesize and apply appropriate technical education to real world technical work
Audience: Graduate

3. Communicate effectively in writing and speaking with a range of audiences in the workplace, including those without disciplinary expertise
Audience: Graduate

4. Develop professional and transferable habits like time management skills, collaborative problem-solving skills, and research skills for learning new information
Audience: Graduate

Learning Outcomes: 1. Interpret research ethics regulations and policies
Audience: Graduate

2. Differentiate research misconduct from sloppy behavior
Audience: Graduate

3. Identify biased or hostile behaviors
Audience: Graduate

4. Develop an individualized plan for graduate training
Audience: Graduate

Learning Outcomes: 1. Recall and apply principles of MR signal generation, relaxation, echo generation, and spatial encoding.
Audience: Graduate

2. Compose and test concepts of advanced MR image reconstruction concepts including partial Fourier MRI, parallel MRI, non-Cartesian MRI, compressed sensing.
Audience: Graduate

3. Apply and judge image processing methods for the analysis of MR images for biomarkers such as T1 and T2 mapping and metabolite maps.
Audience: Graduate

4. Summarize and organize advanced MR applications used in the clinic and research including quantitative MRI, BOLD MRI (fMRI), MR Angiography with and without contrast agents, motion sensitive MRI, perfusion and diffusion MRI, and PET-MRI.
Audience: Graduate

5. Organize and compose concepts on sampling theory, signal-to-noise, artifacts, and pulse sequences to design protocols for MRI data acquisition, reconstruction, or processing.
Audience: Graduate

6. Demonstrate scientific communication skills for MRI research by composing oral presentations, written reports, and critiquing the work of others.
Audience: Graduate

Learning Outcomes: 1. Compute strain from multiple different types of marker and image data
Audience: Graduate

2. Compute stresses using data from uniaxial, biaxial, and inflation mechanical tests
Audience: Graduate

3. Construct and utilize constitutive models appropriate for soft tissues
Audience: Graduate

4. Formulate and analyze continuum models of biological growth
Audience: Graduate

5. Identify common failure criteria applied to soft tissues
Audience: Graduate

Learning Outcomes: 1. Recall, differentiate, and interpret key terms of art and jargon commonly associated with translation, commercial development, and regulation of novel biotechnologies and human therapies
Audience: Graduate

2. Describe common tools and strategies used by biotechnology industry to assess project progress, risk, and overall value
Audience: Graduate

3. Identify and evaluate business strategy and technology translation approach of a real biotech start-up company applying knowledge that was learned in class
Audience: Graduate

4. Produce a product-focused value proposition based on the student’s research topic, or of a technology of interest to the student by integrating aspects of a business model canvas and constructing a strategic technology development plan
Audience: Graduate

Learning Outcomes: 1. Provide a clear, concise oral presentation critiquing a paper in the literature
Audience: Graduate

2. Write a hypothesis driven research proposal and present an oral defense
Audience: Graduate

3. Write a critical written assessment of literature papers
Audience: Graduate

4. Use course concepts to better design experiments and extract quantitative information
Audience: Graduate

5. Articulate a fundamental understanding of the function of a microscope
Audience: Graduate

Learning Outcomes: 1. identify common optical components and describe their fundamental principles
Audience: Graduate

2. select an appropriate technique or technology best suited to solve a given research or medical problem and explain the rationale
Audience: Graduate

3. solve optical design problems including 1st order optical design of a scanning light microscope
Audience: Graduate

4. orally present and critique a recent journal article with a succinct description of the optical methods or concepts employed and evaluate the pros and cons
Audience: Graduate

Learning Outcomes: 1. Critically read and evaluate peer-reviewed journal papers describing machine learning applications in ultrasound imaging.
Audience: Graduate

2. Apply, implement and expand upon ideas from these publications to applications in ultrasound imaging.
Audience: Graduate

3. Present the results of their critical evaluation and implementation to the class.
Audience: Graduate

4. Write a research paper based on their findings suitable for publication.
Audience: Graduate

Learning Outcomes: 1. Identify and describe the benefits and limitations of key methods used in the field of quantitative biology
Audience: Graduate

2. Critically evaluate experimental and theoretical papers in quantitative biology
Audience: Graduate

Learning Outcomes: 1. Integrate knowledge from a subset of the biological and physical sciences to address a research question
Audience: Graduate

2. Conduct a research study using experimental, computational, and/or theoretical approaches
Audience: Graduate

3. Communicate research results in a written thesis and defense
Audience: Graduate

Learning Outcomes: 1. Conduct and report on an independent biomedical engineering project
Audience: Graduate

2. Appropriately utilize online and library resources
Audience: Graduate

3. Connect their research clearly to other research in their field of study
Audience: Graduate

Learning Outcomes: 1. Integrate knowledge from a subset of the biological and physical sciences to address a research question
Audience: Graduate

2. Recognize and apply appropriate ethical and regulatory principles
Audience: Graduate

3. Conduct preliminary studies using experimental, computational, and/or theoretical approaches
Audience: Graduate

4. Generate and defend a research proposal
Audience: Graduate

Learning Outcomes: 1. Discuss how methods from computer science, statistics, information science and engineering are applied to problems in biology, medicine and population health
Audience: Graduate

2. Recognize and be able to define applications in translational bioinformatics, clinical informatics and public health informatics
Audience: Graduate

Learning Outcomes: 1. Integrate knowledge from a subset of the biological and physical sciences to address a research question
Audience: Graduate

2. Recognize and apply appropriate ethical and regulatory principles
Audience: Graduate

3. Conduct a research study using experimental, computational, and/or theoretical approaches
Audience: Graduate

4. Communicate research results in a written thesis and defense
Audience: Graduate

Learning Outcomes: 1. Conduct and report on an independent biomedical engineering project
Audience: Graduate

2. Appropriately utilize online and library resources
Audience: Graduate

3. Connect their research clearly to other research in their field of study
Audience: Graduate