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Showing 90 courses from University of Minnesota
University of Minnesota (via Coursera)
Behavioral genetic methodologies from twin and adoption studies through DNA analysis will be described and applied to address longstanding questions about the origins of individual differences in behavioral traits.
University of Minnesota (via Coursera)
This course, "Market Analysis," provides a comprehensive guide to developing a business case through market segmentation, identifying beachhead markets, and calculating total addressable market (TAM). You will also define your product, analyze value propositions, understand the competitive landscape, and learn strategies for customer acquisition and partnership development.
University of Minnesota (via Coursera)
Software is quickly becoming integral part of human life as we see more and more automation and technical advancements. Just like we expect car to work all the time and can't afford to break or reboot unexpectedly, software industry needs to continue to learn better way to build software if it were to become integral part of human life. In this course, you will get an overview of how software teams work? What processes they use? What are some of the industry standard methodologies? What are pros and cons of each? You will learn enough to have meaningful conversation around software development processes. After completing this course, a learner will be able to 1) Apply core software engineering practices at conceptual level for a given problem. 2) Compare and contrast traditional, agile, and lean development methodologies at high level. These include Waterfall, Rational Unified Process, V model, Incremental, Spiral models and overview of agile mindset 3) Propose a methodology best suited for a given situation
University of Minnesota (via Coursera)
There is strong demand for alternatives to pharmaceuticals for a variety of common illnesses due to concerns of safety, efficacy, and a desire for more “natural” products. Despite this growing interest, “conventional” healthcare providers may have little to no knowledge about herbal medicines, which is further compounded by the sometimes misleading information in the media and on the internet. This course provides the necessary background for providers to begin to incorporate herbal medicines into their practice, particularly in regards to their therapeutic properties, efficacy (or lack thereof), and safety concerns, including quality control and potential adverse effects. Continuing Education Credit This course has been designed to meet Minnesota Board of Nursing continuing education requirements for 16 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.
University of Minnesota (via Coursera)
This third of five courses explores topics related to the social determinants of health and health care systems. This course will also focus on the relationship between the social determinants of health, mental health, substance abuse, and trauma. The topics of this course include: 1. Health Literacy 2. Mental Health & Substance Abuse 3. Violence, Conflict, and Trauma 4. Ethical Considerations for Health Systems and Data 5. Data Applications: Correlation Analysis and Heat Map Visualization
University of Minnesota (via Coursera)
This course is primarily aimed at third- and fourth-year undergraduate students or graduate students interested in learning simulation techniques to solve business problems. The course will introduce you to take everyday and complex business problems that have no one correct answer due to uncertainties that exist in business environments. Simulation modeling allows us to explore various outcomes and protect personal or business interests against unwanted outcomes. We can model uncertainties by using the concepts of probability and stepwise thinking. Stepwise thinking allows us to break down the problem in smaller components, explore dependencies between related events and allows us to focus on aspects of problem that are prone to changes due to future uncertainties. The course will introduce you to advanced Excel techniques to model and execute simulation models. Many of the Excel techniques learned in the course will be useful beyond simulation modeling. We will learn both Monte Carlo simulation techniques where overall outcome is of primary interest and discrete event simulation where intermediate dependencies between related events might be of interest. The course will introduce you to several practical issues in simulation modeling that are normally not covered in textbooks. The course uses a few running examples throughout the course to demonstrate concepts and provide concrete modeling examples. After taking the course a student will be able to develop fairly advanced simulation models to explore fairly broad range of business environments and outcomes.
University of Minnesota (via Coursera)
While scrum and XP were transforming the software development industry, there were another set of ideas (derived from lean manufacturing and Six Sigma) that started to influence software development methods. These ideas around Lean Software Development forms the foundation of number of agile methods. In this course, we will explore lean concepts and cover some of the common Lean methods and techniques like Kanban, Value Stream Mapping, etc. In this course, we will also learn techniques like Lean Startup and Design Thinking that can help team learn about user and market needs much faster and cheaper. As part of this course, you will also apply the knowledge gained in this course to fictional case studies. These projects will help you gain experience to confidently apply these techniques in real world. At the end of the course, you will be able to apply lean techniques / methods to software development. You will also be able to apply methods to learn about your users and market needs much faster and cheaper.
University of Minnesota (via Coursera)
This course provides an introduction to some additional process techniques critical to the microfabrication process flow. Learners will be able to explain how the electroplating process produces coatings on devices, including some specific considerations for magnetic materials. Device packaging, testing, and other back-end-of-line (BEOL) processes will be introduced and discussed. This course is part of the Semiconductor and MEMS Fabrication Specialization. It is recommended that learners take the previous courses of the Specialization prior to this course. Please disregard module numbers because the content has been reorganized to improve comprehension and flow of the specialization.
University of Minnesota (via Coursera)
In today’s interconnected world, the ability to communicate effectively across differences is an essential skill. This course introduces strategies for engaging diverse audiences with clarity, empathy, and impact. Through focused modules on the power of storytelling and presentation skills, learners will develop practical tools to craft compelling messages that resonate across a range of backgrounds and settings.
University of Minnesota (via Coursera)
In the last decade transgender and gender nonconforming (TGNC) individuals have become increasingly visible in our families, culture, and public discourse. This course explores the concept of gender identity for people who are curious about the nature of gender, the process of gender affirmation, or changing social dynamics. Participants will learn the unique challenges faced by the TGNC population as well as develop the skills to build inclusive spaces in all spheres of their life. This course was developed under the Joycelyn Elders Chair in Sexual Health Education at the University of Minnesota.
University of Minnesota (via Coursera)
Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network. We will explore perspectives of clinicians like dentists, physical therapists, nurses, and physicians in all sorts of practice settings worldwide. Emerging technologies, telehealth, gaming, simulations, and eScience are just some of the topics that we will consider. Throughout the course, we’ll focus on creativity, controversy, and collaboration - as we collectively imagine and create the future within the rapidly evolving healthcare informatics milieu. All healthcare professionals and IT geeks are welcome!
University of Minnesota (via Coursera)
Finding and hiring the right people is often cited as the number one concern of businesses today. It seems we are all competing for the best and brightest workers. As you will see in our time together in the second course, a critical component of the People Manager Value Proposition is to hire talented people who enable the organization to achieve its strategic goals. This course is an introduction into the topic of recruitment, selection and onboarding. At the outset of the course we will explore the importance of linking recruitment goals with overall company strategy. We then look at a number of options to recruit and select employees both effectively and legally. Throughout the course we will examine current issues in talent acquisition, such as how companies are now leveraging social media and hiring analytics to ensure better quality hires. At the conclusion of the course, we look at how to onboard employees to promote employee commitment and engagement.
University of Minnesota (via Coursera)
In this course in the Healthcare Marketplace specialization you will identify, define, and describe potential business and public policy solutions to the challenges facing society’s growing demand for health services. Students will master a body of knowledge on the health care sectors major components through reading and reflection. Healthcare has many different cultural components that will be discussed as historic trends as well as future demographic challenges. You will understand diverse philosophies and cultures within and across societies as they relate to healthcare. This outcome is particularly critical because of the tradeoffs needed to be assessed as medical technology advances faster than budgets and perhaps cultures are sometimes willing to tolerate. At the end of the day, you will gain an appreciation for the role of creativity, innovation, discovery, and expression across disciplines in the development of new medical care solutions through and examination of the physician, medical technology and financing sub-sectors of the health economy.
University of Minnesota (via Coursera)
User experience is a highly in-demand field which requires a holistic understanding of the design process. This course is a "sample" of the UX Design MasterTrack certificate program. You will have the opportunities to explore core topics in UX including Ethics and Research, User Research, User Testing, and Visual Literacy as four modules. You can take the opportunity to gain some basic understanding of UX research, and take this course as a pathway to the UX Design MasterTrack certificate program. The assignments you have accomplished in this open course can be carried over to the UX Mastertrack certificate program. If you would like to continue learning after this open course, please visit our UX Design MasterTrack certificate program website: https://www.coursera.org/mastertrack/ux-design-minnesota
University of Minnesota (via Coursera)
One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what motivates employees. This will then give you the factual and conceptual basis for developing specific, critical HRM skills in subsequent courses on hiring employees, managing performance, and rewarding employees. Don't know anything about HRM? That's OK! Leave this course with a new-found understanding of the range of options available for managing employees, a grasp of what makes workers tick, and the readiness to develop your own HRM skills.
University of Minnesota (via Coursera)
의료기술의 혁신은 세계 경제 성장을 주도하는 대표 분야입니다.제약, 의료기기, 생명과학기술, 또는 이러한 혁신 기술의 조합인 정보기술이든 관계없이, 신의료기술을 통해 민간기업과 사회복지에 창출되는 기회는 상당합니다.그러나 비용이 없다면 혁신을 기대하기는 힘들기 때문에 시장에 진출하기 위해 민간 혹은 정부에서 자금을 조달받는 의료서비스 시스템의 지원이 필요합니다. 본 강좌는 신의료기술을 비판적으로 평가하는 데 필요한 개념, 데이터, 방법론에 관한 지식을 다루고 있으며, 이를 통해 재정적 투자, 급여와 함께 FDA 승인과 같은 규제 준수 목표를 달성할 수 있습니다.본 강좌는 의료기술을 평가하는 데 필요한 분석 도구에 대한 이해를 돕고자 마련되었습니다.본 강좌를 수료한 후에는 다음과 같은 역량 향상을 기대할 수 있습니다. 의료기술 이용 자금을 지원하는 보험급여 시스템의 개념을 이해합니다 -신의료기술 개발 및 활용에 대한 정부 및 규제 기관의 역할을 이해합니다. 의료기술을 활용한 서비스 대상 인구를 파악합니다. Use health care data to evaluate a medical technology. 신의료기술에 대한 비용편익 분석 및 비용효과 분석을 수행합니다.
University of Minnesota (via Coursera)
This course introduces you to cybersecurity for the cloud. We'll learn and apply classic security techniques to today’s cloud security problems. We start with a deceptively simple and secure web service and address the problems arising as we improve it. We’ll analyze recent cloud security vulnerabilities using standard, systematic techniques. We’ll build our own web service case studies and construct security solutions for them. Our toolkit contains classic security concepts like Least Privilege and Separation of Duty, as well as more technical cryptographic and access control techniques.
University of Minnesota (via Coursera)
This course, "The Ideation Process," guides you through the essential steps of transforming an idea into a viable product. You will learn how to use design sprints for process mapping, engage in sketching, deciding, and prototyping phases, and gather valuable user feedback through customer interviews to refine your concept.
University of Minnesota (via Coursera)
This course equips graduate students, postdocs, and advanced degree holders with the skills to build and leverage professional networks for academic and career advancement. Through practical strategies and hands-on activities, learners will develop the confidence to connect with industry leaders, peers, and potential mentors. By the end of the course, participants will have created a personalized networking action plan to support their short- and long-term academic and career goals.
University of Minnesota (via Coursera)
Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesota’s Analytics for Decision Making specialization. This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in Microsoft Excel. By the end of the course, you will be able to: Understand the concepts, processes, and applications of predictive modeling. Understand the structure of and intuition behind linear regression models. Be able to fit simple and multiple linear regression models to data, interpret the results, evaluate the goodness of fit, and use fitted models to make predictions. Understand the problem of overfitting and underfitting and be able to conduct simple model selection. Understand the concepts, processes, and applications of time series forecasting as a special type of predictive modeling. Be able to fit several time-series-forecasting models (e.g., exponential smoothing and Holt-Winter’s method) in Excel, evaluate the goodness of fit, and use fitted models to make forecasts. Understand different types of data and how they may be used in predictive models. Use Excel to prepare data for predictive modeling, including exploring data patterns, transforming data, and dealing with missing values. This is an introductory course to predictive modeling. The course provides a combination of conceptual and hands-on learning. During the course, we will provide you opportunities to practice predictive modeling techniques on real-world datasets using Excel. To succeed in this course, you should know basic math (the concept of functions, variables, and basic math notations such as summation and indices) and basic statistics (correlation, sample mean, standard deviation, and variance). This course does not require a background in programming, but yo...
University of Minnesota (via Coursera)
In this first of our five courses, Dr. Karen Monsen introduces the nursing informatics leadership essentials and skills that will guide you through your studies as you apply leadership principles to the nursing informatics specialty. Course Objectives: • Describe essentials of nursing informatics leadership to gain a foundation for study in this specialization • Reflect on your personal nursing informatics leadership goals to establish your plan to advance your nursing informatics leadership journey • Complete the Minnesota Nursing Informatics Leadership Inventory to increase self-knowledge regarding your leadership skills and how you prefer to use them • Join a nursing informatics organization or network to increase your nursing informatics collaboration and leadership opportunities
University of Minnesota (via Coursera)
This introductory course provides a framework for incorporating integrative therapies into your work with clients or patients. By the end of the course, you will be able to assess if integrative therapies are good options in specific situations, as well as educate patients and colleagues about benefits and risks. You will be confident discussing the evidence base for integrative therapies in general, with an understanding of some of the challenges of research in this area, and able to identify reliable sources of evidence-based information. You will leave with the skills to partner with patients or clients around use of these therapies and a plan to introduce integrative therapies in your work or other setting. Continuing Education Credit This course has been designed to meet Minnesota Board of Nursing continuing education requirements for 15 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.
University of Minnesota (via Coursera)
Once you have hired good employees, the next step that successful people managers take is to develop the full potential of their employees. Performance management is a process that helps managers achieve the goal of getting the best from their employees. In this third course in the Human Resources for People Managers specialization, we will discuss the skills and key processes you will need to develop your employees to attain department and organizational goals. These skills will include setting clear expectations, providing positive and corrective feedback, and delivering an effective performance appraisal.
University of Minnesota (via Coursera)
Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how to take the available data and pair that with the right mathematical model to formulate a solution. This course is designed to connect data and models to real world decision-making scenarios in manufacturing, supply chain, finance, human resource management, etc. In particular, we understand how linear optimization - a prescriptive analytics method - can be used to formulate decision problems and provide data-based optimal solutions. Throughout this course we will work on applied problems in different industries, such as: (a) Finance Decisions: How should an investment manager create an optimal portfolio that maximizes net returns while not taking too much risks across various investments? (b) Production Decisions: Given projected demand, supply of raw materials, and transportation costs, what would be the optimal volume of products to manufacture at different plant locations? (c) HR Decisions: How many workers need to be hired or terminated over a planning horizon to minimize cost while meeting operational needs of a company? (c) Manufacturing: What would be the profit maximizing product mix that should be produced, given the raw material availability and customer demand? We will learn how to formulate these problems as mathematical models and solve them using Excel spreadsheet.
University of Minnesota (via Coursera)
After completing the course, the student should be able to do the following: ● Associate lists of OWASP Top Ten Risks with major cloud cybersecurity risks. ● Apply appropriate cryptographic techniques to secure authentication mechanisms and cloud data. ● Identify the most effective strategies for resisting injection attacks, cross-site scripting attacks, and object deserialization attacks. ● Assess strategies to address risks posed by administrative failures, including misconfiguration, broken access control, vulnerable software components, and security monitoring.
University of Minnesota (via Coursera)
This course gives learners an opportunity to explore data security in the cloud. In this course, learners will: Dive into the data services offered by cloud providers and compare their security features. Analyze a data breach and trace it back to the vulnerability that made it possible. Learn about database injection and aggregation attacks. Follow the life cycle of a data item and its relationship to privacy and integrity. * Associate modern privacy requirements with US and European laws.
University of Minnesota (via Coursera)
Organizations can harness the power of causal inference through randomized field experiments, uncovering the true effects of interventions and enabling data-driven decision-making. In this course, we will delve into how companies are currently utilizing A/B testing. Additionally, we will explore the ethical considerations of conducting experiments and the econometric methods for analyzing causal relationships in observational data. Learning objectives: Examine how companies are using field experiments for causal inference. Analyze the ethical dimensions of field experiments. Construct an issue tree for conducting randomized experiments about designing online referral bonus programs Select a solution approach and define an experimental setup
University of Minnesota (via Coursera)
This second of five courses focuses on how social determinants of health affects vulnerable populations. Focusing on four groups of vulnerable populations, students will examine how social determinants of health contribute to the poor health outcomes experienced by these populations. The topics of this course include: 1. Poverty 2. Women’s Health 3. Gender and LGBTQI+ Health 4. Family Health 5. Data Applications: t-test Analysis and Box Plot Visualization
University of Minnesota (via Coursera)
By the end of this course, you will be able to assess when mindfulness may be helpful for your patients or clients, educate them about its potential benefits, and refer them to mindfulness programs and resources. You will also learn about the benefits of this practice for you as a busy healthcare provider. To begin, you will explore what mindfulness is (and is not) through presentations and direct experience. You will also learn about the research supporting the benefits (and risks) of mindfulness for various conditions, as well as how to identify contraindications. Continuing Education Credit This course has been designed to meet Minnesota Board of Nursing continuing education requirements for 10 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.
University of Minnesota (via Coursera)
La industria del software se está volviendo loca con los métodos Agile. Rápidamente se está convirtiendo en la opción para el desarrollo de software cuando los requisitos son impredecibles o se espera que cambien con el tiempo. Este curso le ayudará a adquirir conocimientos sobre lo que es Agile. ¿Por qué Agile es más adecuado para estas situaciones? También cubriremos en profundidad algunos de los marcos Agile más comunes como scrum y XP. Requisito previo: Usted necesita un conocimiento básico del proceso de desarrollo de software y de las metodologías de desarrollo de software. Después de completar este curso, usted podrá: 1) Demostrar capacidad para participar de manera efectiva en prácticas y procesos Agile para el desarrollo de software. 2) Explicar el propósito detrás de las prácticas Agile comunes. 3) Aplicar principios y valores Agile a una situación determinada. 4) Identificar y abordar los problemas más comunes que se encuentran al adoptar métodos Agile. Proyecto: También se le dará la oportunidad de aplicar lo que aprendió en este curso. Se le darán estudios de caso ficticios, en los que después de estudiar el estudio de caso, tendrá que poner en práctica algunas de las prácticas, técnicas, etcétera. que se espera que conozcan los miembros del equipo Agile.
University of Minnesota (via Coursera)
This community awareness course from the University of Minnesota Program on Human Sexuality will provide you with a solid introduction to human sexuality for those living with disabilities. Often there are assumptions that the disabled or differently abled people are not sexual, do not have sexual needs, or cannot be involved sexually. In this professionally produced one-hour course, you'll learn about the basics of disabilities and human sexuality. We'll then learn about three different conditions, Arthritis, Cerebral Palsy and Dwarfism, as examples of the sexuality related issues that people with these disabilities may face. In this course, you will 1) confront some of the societal myths and beliefs that are associated with sexuality and disability; 2) understand and foresee issues that may relate to fulfilling sexuality with regard to people with disabilities and the differently-abled; and 3) understand some of the physical barriers that people living with disabilities may need to deal with to be sexually active.
University of Minnesota (via Coursera)
How do children overcome hazardous experiences to succeed in life? What can be done to protect young people at risk from trauma, war, disasters, and other adversities? Learn about the importance of fostering resilience in children at risk. During this course, participants will: learn how trauma can affect children and the systems they depend on, gain insight into core concepts, research methods and lessons learned in last 50 years of resilience research, learn how research is being applied in the real world through interventions that promote resilience, and engage in discussions with others who are working with children at risk around the world Participants are welcome to take the MOOC at no cost or to register for a Course Certificate ($49). Those who register and earn a Course Certificate from Coursera also are eligible to sign up for continuing education clock hours through the University of Minnesota. Participants can earn 10 clock hours of continuing education credit (added cost $99) from the College of Education and Human Development at the University of Minnesota. Go here http://z.umn.edu/1a5q to register for continuing education clock hours for completing this course.
University of Minnesota (via Coursera)
This course explores the neurobiology and pharmacology of pain and synaptic signaling, with a focus on how drugs targeting specific receptor systems shape perception and behavior. Learners will examine fundamental mechanisms of pain transmission and gain a deeper understanding of G-protein coupled receptors using the opioid receptor as a central example. The course begins with opioid pharmacology, explaining how opioid receptor agonists produce analgesia at the molecular and circuit levels, and how repeated exposure can lead to tolerance and dependence. Current clinical guidelines and best practices in opioid prescribing are integrated to connect receptor biology with insight into medical decision-making. The course then examines endocannabinoid signaling, highlighting its unique retrograde communication system, endogenous ligands, and receptors. Students will explore the pharmacological effects of THC and synthetic cannabinoids, as well as emerging therapeutic applications and documented health risks. Finally, the course broadens its scope to consider more complex forms of synaptic communication, including silent synapses and tripartite synapses involving neuron–astrocyte interactions. Learners will also be introduced to modern genetic tools used to map neuronal connectivity, emphasizing how advances in technology continue to reshape our understanding of brain circuits. To be successful in this course, learners should have a background in biology. This course provides a strong foundation for students interested in neuroscience, pharmacology, pain research, addiction science, and related biomedical and health fields. Learners should be comfortable with basic cell biology, receptor signaling, and introductory physiology. This course is particularly well suited for learners preparing for careers in medicine, pharmacy, nursing, psychology, biomedical research, or other health-related professions. The course is also appropriate for trainees and healthcare professionals...
University of Minnesota (via Coursera)
Modern applications that we build invariably have touch-points with its users through web-based and mobile platforms. Users interact with the software through these interfaces and the experiences those interfaces provide have a strong influence on the perceived quality of the software. The pace at which modern applications deploy new versions and features call for careful prioritization of testing effort and rapid execution through automation. Techniques and methods for testing of such applications will be the focus of this course. We will cover key concepts relevant to testing of web and mobile platforms, underlying techniques and the use of Selenium as a framework for automating testing of such applications. The learner will gain a solid foundation in web and mobile testing principles and the ability to use a testing framework to automate test execution.
University of Minnesota (via Coursera)
This course explores how synaptic communication in the brain shapes movement, mood, anxiety, and sleep, with a strong emphasis on pharmacological principles and real-world clinical applications. Learners will examine how specific neurotransmitter systems—including dopamine, GABA, and serotonin—regulate neural circuits and behavior, and how disruptions in these systems contribute to common neurological and psychiatric disorders. Using Parkinson’s disease as a central example, the course investigates the dopaminergic synapse and how molecular changes in dopamine signaling alter motor control. Learners will explore the mechanism of action of L-DOPA, examine alternative therapeutic strategies, and consider patient perspectives on treatments such as deep brain stimulation. The course then turns to anxiety and insomnia, highlighting inhibitory GABA synapses and explaining how benzodiazepines and Z-drugs enhance the brain’s natural braking systems to reduce symptoms and promote sleep. Finally, learners will examine depression through the amine hypothesis, studying how antidepressants such as tricyclics and selective serotonin reuptake inhibitors modify neurotransmitter signaling, as well as emerging treatments such as ketamine. Throughout the course, molecular mechanisms are linked to neural circuits, behavior, and lived patient experiences. This course provides a strong foundation for learners interested in neuroscience, pharmacology, psychology, medicine, and related health sciences.
University of Minnesota (via Coursera)
Software industry is going crazy on agile methods. It is rapidly becoming the choice for software development where requirements are unpredictable or is expected to change over time. This course will help you gain knowledge on what is agile? Why agile is better suited for these situations? We will also cover some of the most common agile frameworks like scrum and XP in depth. Prerequisite: You need basic knowledge of software development process and software development methodologies. After completing this course, you will be able to : 1) Demonstrate the ability to participate effectively in agile practices/process for software development. 2) Explain the purpose behind common agile practices. 3) Ability to apply agile principles and values to a given situation. 4) Ability to identify and address most common problems encountered in adopting Agile methods. Project: You will also be given opportunity to apply what you learn in this course. You will be given fictional case studies, where after studying the case study, you will have to exercise some of the practices, techniques, etc that team members of an agile team members are expected to know.
University of Minnesota (via Coursera)
This introductory physical chemistry course examines the connections between molecular properties and the behavior of macroscopic chemical systems.
University of Minnesota (via Coursera)
Learn the skills to bring aromatherapy into your own practice. This online aromatherapy course provides an evidence-based overview of essential oil therapy and current aromatherapy practices. It covers the latest research, safety guidelines, and therapeutic applications of essential oils, providing a robust foundation for their use in various healthcare settings as well as for self-care and home use. You will explore a comprehensive list of essential oils, their clinical uses, and the scientific evidence supporting their benefits for conditions such as anxiety, sleep disturbances, headache, nausea, and fatigue. This course emphasizes patient safety, including identification of aromatherapy contraindications, safe aromatherapy combinations, and best practices for individualized patient care. Whether you are a nurse, physician, therapist, dentist, or other health professional, this aromatherapy course will equip you with the knowledge and skills to safely and effectively incorporate essential oil therapy into your patient care. Continuing Education Credits This course has been designed to meet Minnesota Board of Nursing continuing education requirements for 15 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.
University of Minnesota (via Coursera)
In this course, students in the health and information technology professions will examine models for interprofessional collaboration and teamwork, practice communication techniques to promote effective interaction, and envision futures literacy in interprofessional informatics scenarios. We will hear from nurses and other informaticians who are leading and working interprofessionally, and glean insights from their diverse perspectives. When we think about the requisite variety of leadership skills that are essential in nursing informatics, we may deduce that leadership in interprofessional informatics will demand at least that diversity or more. We’ll expand our nursing informatics leadership vision to include interprofessional applications of the Competing Values Framework and the Minnesota Nursing Informatics Leadership Inventory. For students who are interested in completing the specialization, there is a sixth module in this course dedicated to the creation of a portfolio which is peer reviewed. The purpose of the portfolio is to help students integrate, synthesize and document their learning through completion of the five course specialization. Students will: Define the term interprofessionality to support the development of an interprofessional informatics leadership skill set Describe how the competing values framework supports knowledge leadership and interprofessional informatics practice to achieve collective impact in health care contexts Explain the core competencies expected to support culturally-sensitive interprofessional practice to deepen leadership insights in interprofessional informatics Discuss selected policy, practice, and standardization issues related to knowledge representation and framing to support interprofessional informatics practice Analyze the future of interprofessional informatics leadership to develop an anticipatory leadership skill set
University of Minnesota (via Coursera)
After completing this course, you will have an understanding of the fundamental principles and processes of software testing. You will have actively created test cases and run them using an automated testing tool. You will being writing and recognizing good test cases, including input data and expected outcomes. After completing this course, you will be able to… Describe the difference between verification and validation. Explain the goal of testing. Use appropriate test terminology in communication; specifically: test fixture, logical test case, concrete test case, test script, test oracle, and fault. Describe the motivations for white and black box testing. Compare and contrast test-first and test-last development techniques. Measure test adequacy using statement and branch coverage. Reason about the causes and acceptability of and poor coverage Assess the fault-finding effectiveness of a functional test suite using mutation testing. Critique black-box and white-box testing, describing the benefits and use of each within the greater development effort. Distinguish among the expected-value (true), heuristic, consistency (as used in A/B regression), and probability test oracles and select the one best-suited to the testing objective. Craft unit and integration test cases to detect defects within code and automate these tests using JUnit. To achieve this, students will employ test doubles to support their tests, including stubs (for state verification) and mocks (for behavioral verification) (https://martinfowler.com/articles/mocksArentStubs.html). This course is primarily aimed at those learners interested in any of the following roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast. We expect that you should have an understanding of the Java programming language (or any similar object-oriented language and the ability to pick up Java syntax quickly...
University of Minnesota (via Coursera)
This course, "Getting Started with IT-based Entrepreneurship," guides aspiring entrepreneurs through the essential steps of starting on an IT-based entrepreneurial journey. It covers the lessons learned from successful entrepreneurs, understanding personal and team strengths, and identifying IT-enabled opportunities.
University of Minnesota (via Coursera)
This first of five courses introduces students to the social determinants of health, and provides an overview of the definitions and theoretical perspectives that will form the foundation of this specialization. The topics of this course include: 1. Introduction to the Social Determinants of Health 2. Theoretical Perspectives and Knowledge Complexity 3. Data Driven Collective Impact 4. Minority Stress Theory 5. Data Applications: Frequency Analysis and Bar Chart Visualization
University of Minnesota (via Coursera)
In this fourth of our five courses, I will go deeper into the training and education leadership skills that are helpful for nursing informatics leaders. I will also guide you through the process of preparing a course document or syllabus for the nursing informatics specialty both in academic settings and in practice or industry. Following are the course objectives: 1. Describe relevant nursing informatics course development in clinical and academic settings to understand similarities and differences in informatics teaching and education across settings. 2. Describe informatics education and training needs for diverse participants with various experience levels to enable development of appropriate training and education materials. 3. Develop a prototype course syllabus and introductory recorded message to apply learning in a simulated setting. 4. Describe the benefits of formal and informal mentoring for nursing informaticians to advance career opportunities and support the nursing informatics specialty.
University of Minnesota (via Coursera)
يُدار جميع الموظفين بطريقة أو بأخرى. ولكن تختلف المناهج المٌتَّبعة لإدارة الموظفين من موظف لآخر، ومن وظيفة لأخرى، ومن مدير لآخر، ومن مؤسسة لأخرى، وحتى من بلد لبلد آخر. تقدم هذه الدورة التدريبية الأساس لتطوير منهجك في إدارة الموظفين بمهارة من خلال إيضاح الإستراتيجيات البديلة لإدارة الموارد البشرية، وطرح أهمية السياق القانوني، والتفكير فيما يحفز الموظفين. وهذا سيوضِّح لكم الأساس الواقعي والإدراكي لتطوير مهارات محددة ودقيقة في إدارة موارد بشرية في الدورات التدريبية التالية المتعلقة بتعيين الموظفين وإدارة الأداء ومكافأة الموظفين. ألا تعرفون أي شيء عن إدارة الموارد البشرية؟ لا بأس! ستنهون هذه الدورة التدريبية وأنتم تفهمون كل ما هو جديد بشأن مجموعة من الخيارات المتاحة لإدارة الموظفين، وإدراك ما يحفِّز العاملين، والاستعداد لتطوير مهارات إدارة الموارد البشرية لديكم.
University of Minnesota (via Coursera)
Today organizations are either embracing digital technologies to improve their businesses or being disrupted by entrants with such capabilities. Therefore it is important for managers and executives of all organizations to learn about various technologies and apply them in innovative ways. Some of the most important trends in Information Technology are in mobile, cloud, security, and blockchains. This course gives you an overview of the fundamental technical aspects of Information Technology. After taking this course you will be familiar with the basic knowledge of IT/IS solutions needed to help with decision-making in the real world. We will first learn about issues in cloud computing and various realizations of service-oriented computing. We will then discuss the range of mobile technologies available to modern enterprises and how these can be used to create innovative business models. We will look at cybersecurity threats that organizations need to be aware of and learn about the various defense mechanisms available to them. Finally we will talk about the innovation that emerging technologies like Blockchains can bring about. Using this knowledge of various technologies, IT managers can better overcome technical challenges, evaluate tradeoffs, unlock new revenue streams, and implement change in the organization’s Information systems capabilities.
University of Minnesota (via Coursera)
Innovations in medical technologies are one of the leading areas of economic growth in the world. Whether new technologies take the form of pharmaceutical, medical device, biotechnology, information technology of some combination of these innovations, the opportunities for both private enterprise and social welfare are substantial. However, these innovations are not without cost, and require reimbursement from either a privately or publicly financed health care delivery system to enter the marketplace. This course aims to provide knowledge of the concepts, data, and methodology required to critically evaluate new medical technologies in order to secure financial investment, reimbursement, and regulatory compliance objectives, such as FDA approval. The course is designed to provide understanding of the analytic tools needed to evaluate medical technologies. After completing this course, students will have the skills needed to: Understand the reimbursement systems financing medical technology use. Understand the role of government and regulatory agencies in the development and use of new medical technologies. Identify a population to be served by a medical technology. Use health care data to evaluate a medical technology. Perform cost/benefit and cost/effectiveness analysis of a new technology.
University of Minnesota (via Coursera)
Unlock your professional potential with our comprehensive course on mastering the Individual Development Plan (IDP). This course offers a structured approach to cultivating academic and professional success while building a robust support network. You will learn the importance of strategic planning in navigating professional opportunities and use the IDP as a dynamic tool for self-assessment, competency development, and goal-setting. Key topics include: Planning for Success: Understanding how to set clear expectations and navigate academic or professional opportunities. IDP Framework: Assessing competencies, setting professional development goals, and effectively communicating strategies to potential mentors. Self-Assessment: Identifying and developing transferable skills to prepare for the job market. Writing the IDP: Crafting a comprehensive plan that includes focus areas, long and short-term goals, strategies, steps, timelines, and resources. Implementing the IDP: Seeking feedback, revising content, and maintaining accountability through regular mentor meetings.
University of Minnesota (via Coursera)
This course, "Business Model & Product Pitch," equips you with the knowledge to develop and pitch a compelling business model. You will learn about various business models, pricing frameworks, cost analysis, and growth planning. Additionally, you will create a minimum viable product (MVP), explore financing pathways, and prepare an investor pitch to attract potential investors.
University of Minnesota (via Coursera)
In this course you will learn how to design and prototype user interfaces to address the users and tasks identified in user research. Through a series of lectures and exercises, you will learn and practice paper- and other low-fidelity prototyping techniques; you will learn and apply principles from graphic design, including design patterns; you will learn to write a design rationale; and you will learn how to design for specific populations and situations, including principles and practices of accessible design.
University of Minnesota (via Coursera)
This course presents a powerful design tool, overall fabrication process flows and emerging trends in the Micro technology industry. Finite Element Analysis is a computational tool that design teams use to build models and simulate parts or whole systems. FEA has been introduced with the high business impact use cases, and theoretical background. Integrated CPU (computational processor unit) fabrication flow and its evolution over the past decades is covered. Finally, emerging technologies and trends in both compute processor chips and MEMS are presented. This course is part of the Semiconductor and MEMS Fabrication Specialization. It is recommended that learners take the previous courses of the Specialization prior to this course. Please disregard module numbers because the content has been reorganized to improve comprehension and flow of the specialization.
University of Minnesota (via Coursera)
This course explores how the nervous system communicates, with a special focus on pharmacological principles, synapses, and the neural control of movement. Learners will explore the fundamental principles of synaptic transmission, including how neurons communicate with each other and with muscles, and how drugs and other chemicals, such as poisons, can modify these processes. The course emphasizes the neuromuscular junction as a model system for understanding how synapses translate electrical signals into movement. Topics include neurotransmitters and receptors, and the mechanisms by which drugs alter signaling in the neuronal interface with muscles. Real-world examples from medicine, pharmacology, and everyday substances are used to illustrate how changes at the synapse influence behavior and motor function. To be successful in this course, learners should have a background in biology. This course provides a strong foundation for those interested in neuroscience, pharmacology, medicine, or related health and biological sciences.
University of Minnesota (via Coursera)
This capstone project course for the Recommender Systems Specialization brings together everything you've learned about recommender systems algorithms and evaluation into a comprehensive recommender analysis and design project. You will be given a case study to complete where you have to select and justify the design of a recommender system through analysis of recommender goals and algorithm performance. Learners in the honors track will focus on experimental evaluation of the algorithms against medium sized datasets. The standard track will include a mix of provided results and spreadsheet exploration. Both groups will produce a capstone report documenting the analysis, the selected solution, and the justification for that solution.
University of Minnesota (via Coursera)
Most often, organizations acquire information systems as part of a larger focus on process improvement and efficiency. These organizations need to invest in the right system to meet their needs: right functionality, right size, and for the right price. The business systems analyst role in most organizations is responsible for translating the organization’s needs into requirements, which are then used to select or build the right system for the organization. During the Analysis for Business Systems course, you’ll learn about the standard model for systems development: the systems development lifecycle, or SDLC. You will learn how to read and even create the specific deliverables that business systems analysts prepare during the SDLC. These documents provide guidance to the organization as they determine whether to build or buy and configure a system that meets the organization’s needs.
University of Minnesota (via Coursera)
Firms make significant investments in IT. In the IS/IT Governance course we will discuss how to govern IT to make sure that the IT investments contribute to organizational goals and strategies. Firms need to formally evaluate significant IT investments. IT investments are also risky, so firms need to consider the risk associated with the investments to appropriately evaluate the investment. We will discuss how to evaluate IT investments. Firms usually make multiple IT investments in a given year. In this course we will discuss how to evaluate a portfolio of IT investments. Firms need a mechanism to charge users for the IT investments made to encourage prudent consumption of IT resources. We will discuss different mechanisms for charging for IT that incents users to spend IT dollars wisely. Finally, IT investments are made to generate value for the firm. This requires that employees actually use the new IT systems that is developed. Thus, in the IS/IT Governance course we will discuss strategies to make sure that users use the new system so that the firm derives value from its IT investments.
University of Minnesota (via Coursera)
In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space. Then you will learn about techniques that combine the strengths of different algorithms into powerful hybrid recommenders.
University of Minnesota (via Coursera)
Whether you're writing paychecks or wondering where yours comes from, this course is for you! We begin by asking: "To succeed, what kind of a person does your organization need to attract, retain, and motivate?" From there, we'll explain how to align your organization's objectives, its pay philosophy, and ultimately the way it designs and implements its salary structure, short-term incentives, long-term incentives, and benefits. Interested in learning more about the technical aspects of compensation, but don't know where to begin? We'll give an overview of key the key technical skills: compliance with pay regulations, understanding stock options, shopping for health insurance and pension providers, and designing incentive plans. Lastly, we'll discuss non-monetary methods of motivating employees. Upon completing the course, you should be able to have an understanding of compensation both strategically and technically. Learners will also gain introductory familiarity with pay regulation in the US.
University of Minnesota (via Coursera)
In this course you will learn and practice techniques of user research and early UI design exploration. First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques. Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios. Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.
University of Minnesota (via Coursera)
In this data-driven world, companies are often interested in knowing what is the "best" course of action, given the data. For example, manufacturers need to decide how many units of a product to produce given the estimated demand and raw material availability? Should they make all the products in-house or buy some from a third-party to meet the demand? Prescriptive Analytics is the branch of analytics that can provide answers to these questions. It is used for prescribing data-based decisions. The most important method in the prescriptive analytics toolbox is optimization. This course will introduce students to the basic principles of linear optimization for decision-making. Using practical examples, this course teaches how to convert a problem scenario into a mathematical model that can be solved to get the best business outcome. We will learn to identify decision variables, objective function, and constraints of a problem, and use them to formulate and solve an optimization problem using Excel solver and spreadsheet.
University of Minnesota (via Coursera)
Fluid power has the highest power density of all conventional power-transmission technologies. Learn the benefits and limitations of fluid power, how to analyze fluid power components and circuits, and how to design and simulate fluid power circuits for applications. In this course, you will be introduced to the fundamental principles and analytical modeling of fluid power components, circuits, and systems. You will learn the benefits and limitations of fluid power compared with other power transmission technologies; the operation, use, and symbols of common hydraulic components; how to formulate and analyze models of hydraulic components and circuits; and how to design and predict the performance of fluid power circuits. This course is supported by the National Science Foundation Engineering Research Center for Compact and Efficient Fluid Power, and is endorsed by the National Fluid Power Association, the leading industry trade group in fluid power.
University of Minnesota (via Coursera)
Prescriptive Analytics Project Ideation is about the art of transforming data into actionable optimal strategies. This course begins with an overview of prescriptive analytics, exploring key methods like optimization and simulations. You'll then delve into real-world applications across various industries, with applications in investing and staffing optimization. The course also includes a comprehensive sprint phase for problem identification and solutions mapping, culminating in a final project plan review and insights from industry experts. Learning objectives: Examine how prescriptive analytics methods are used by businesses to make optimal decisions. Formulate optimization models to solve portfolio investment and staffing decisions Analyze business needs and define a prescriptive analytics project plan
University of Minnesota (via Coursera)
After completing the course, the student should be able to do the following: ● List and describe the OWASP Top 10 vulnerabilities. ● Identify methods to provide cloud security assurance as part of the development life cycle, e.g. in a continuous delivery environment. ● List and describe the different types of virtualization or sandboxing used to protect cloud applications at either the server or client. ● Describe the application of authentication factors and federated identity solutions in cloud client and server authentication. ● Given a cloud application, explain where and how the necessary crypto keys, passwords, and other security secrets should be stored and distributed.
University of Minnesota (via Coursera)
Discover how you can use acupressure to support symptom relief and wellbeing. In this course, you will learn how acupressure, which is a time-honored healing technique rooted in East Asian Medicine, can become a practical, effective tool in your clinical practice and self-care strategies. Acupressure Essentials is a self-paced, experiential course designed to teach basic principles and applications for symptom management including pressure points for pain, headaches, gastrointestinal disturbances, and wellbeing. By the end of the course, you will be able to demonstrate acupoint protocols, demonstrate an acupressure treatment session, and determine a plan of action for incorporating acupressure into your professional practice and self-care routines. Continuing Education Credits This course has been designed to meet Minnesota Board of Nursing continuing education requirements for 15 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.
University of Minnesota (via Coursera)
Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction. Optional examples using Python are used to illustrate the concepts and allow the learner to experiment with the algorithms.
University of Minnesota (via Coursera)
In this course, you will gain an understanding of the critical importance of user interface design. You will also learn industry-standard methods for how to approach the design of a user interface and key theories and frameworks that underlie the design of most interfaces you use today. Through a series of case studies on commercial systems - many of which you likely use on a regular basis - we will illustrate the benefits of good design. We will also demonstrate how the costs of bad design can often be severe (in user experience, money, and even human lives). You will then gain a high-level understanding of the user-interface design process. You will be introduced to common design scenarios - e.g. improving on existing designs and starting a new design from scratch - and the general design processes that tend to be used for each scenario. Finally, we will begin introducing the large body of existing knowledge on design by providing overviews of core user interface design theories and concepts. This key foundational information will help you avoid “reinventing the wheel” when you are designing your interfaces in this specialization.
University of Minnesota (via Coursera)
This specialization provides a robust introduction to the key principles, policies, and practices of human resource management, with a focus on understanding managerial choices and constraints, acquiring and onboarding talent, managing employee performance, and rewarding employees. The capstone project provides learners with the opportunity to apply these key principles and practices to a real-world workplace (including a learner's own workplace if desired). Specifically, the capstone project will involve identifying the key human resources challenges for a workplace--including the most pressing motivational, selection, performance evaluation, and reward issues. And for each of these areas, learners will devise a multi-step action plan for addressing the challenges identified.
University of Minnesota (via Coursera)
In this course you will learn how to evaluate recommender systems. You will gain familiarity with several families of metrics, including ones to measure prediction accuracy, rank accuracy, decision-support, and other factors such as diversity, product coverage, and serendipity. You will learn how different metrics relate to different user goals and business goals. You will also learn how to rigorously conduct offline evaluations (i.e., how to prepare and sample data, and how to aggregate results). And you will learn about online (experimental) evaluation. At the completion of this course you will have the tools you need to compare different recommender system alternatives for a wide variety of uses.
University of Minnesota (via Coursera)
In this course, you will learn how you can use imagery and imagery interventions to help with symptom management and healing, as well as to enhance overall health and wellbeing. You will experience a variety of imagery interventions and evaluate how they might be helpful in providing relief or enhancing quality of life. By the end of the course, you will know how to assess if guided imagery is appropriate in specific situations or with specific patients. You will be able to find and evaluate guided imagery scripts and recordings you might use. Most importantly, you will learn how to write and record effective guided imagery scripts of your own for specific needs at work or in your personal life. Continuing Education Credit This course has been designed to meet Minnesota Board of Nursing continuing education requirements for 14.5 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.
University of Minnesota (via Coursera)
This fourth of five courses examines the methodological approaches and research tools that inform our understanding of best practices in working with science teams, communities, and with data. The topics of this course include: 1. Community-Based Participatory Research 2. Team Science 3. Community-Level Data 4. Informatics and the Social Determinants of Health: Knowledge Management 5. Data Applications: ANOVA Analysis and Line Graph Visualization
University of Minnesota (via Coursera)
“By the end of this Course, you will be able to…” • Evaluate effective leadership styles for leadership in nursing informatics in clinical or academic contexts to improve leadership success. • Discover core values that support effective nursing informatics leadership in academic and clinical contexts to inform development of a personal leadership mission statement. • Discover competing values and polarities related to knowledge leadership and management to promote successful leadership collaboration. • Determine your personal informatics leadership style based on results from the Minnesota Informatics Leadership Inventory to inform successful leadership practice. • Discuss the value and importance of foresight leadership in nursing informatics to anticipate trends and consequences that are likely to transform the learning health care system
University of Minnesota (via Coursera)
This course provides you with an understanding of what Enterprise Systems (also commonly termed as Enterprise Resource Planning Systems, ERPs) are. After learning about what these systems are, we would touch upon why these systems are useful to companies, through which you would get to see the various jobs and positions that are associated with the use and deployment of ERPs. In this course, you would also develop an appreciation of the managerial aspects related to the selection and implementation of ERPs. Specifically, we would touch on the important points to consider when shortlisting and purchasing an ERP, the approaches taken in ERP implementation, and change management techniques to utilize when an organization is undergoing ERP implementation. At the end of this class, you will be endowed with practical knowledge that would help you to address real world business problems associated with ERP usage and implementation.
University of Minnesota (via Coursera)
After completing this course, learners will have an understanding of a variety of black-box and white-box testing techniques. The learner will have put this understanding into practice, creating effective sets of test cases (called a test suite) to properly exercise software for defect finding. The learner will have examined requirements for testability, created an oracle for automated testing, assessed fault-finding effectiveness of test suites, and generated inputs using a variety of techniques. After completing this course, you will be able to: evaluate testability of requirements define testable units within a program specification apply black-box test input selection methods - specifically boundary-value analysis, fuzzing, and random selection - and select the method most-suited to achieve the given testing objective assess the fault-finding effectiveness of a functional test suite using mutation testing use category partitioning to develop automated functional tests (with Cucumber) based on a given software specification create an expected-value oracle from a program description to use within the generated tests In order to do well in this course, you should have experience with an OOP language (like Java), have an IDE installed (e.g., Eclipse), and be familiar with testing terminology (see Intro to Software Testing course within this specialization). we also expect a familiarity with the Software Development Lifecycle and the context in which the testing stage sits. This course is primarily aimed at those learners interested in any of the following roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast.
University of Minnesota (via Coursera)
This course introduces graduate students, postdocs, and advanced degree holders to the concept of transferable skills—versatile abilities that are valuable across a wide range of careers. Through four focused modules, learners will explore what transferable skills are and gain a foundational understanding of three essential skill areas: cross-cultural communication, project management, and leadership. Each module offers practical examples, self-reflection opportunities, and curated resources to help learners begin developing these skills and recognize their relevance in both academic and professional settings. By the end of this course, participants will be able to: Define transferable skills and explain their relevance across career paths. Identify key components of cross-cultural communication and explore strategies for strengthening this skill. Recognize the basic principles of project management and assess opportunities to apply them in academic or professional work. Describe core concepts of leadership and identify ways to begin building leadership experience.
University of Minnesota (via Coursera)
Exploratory analytics is where data meets discovery, revealing hidden patterns and turning raw information into breakthrough insights. In this course we will first provide an overview of exploratory analytics methods such as clustering, association rule mining, anomaly detection, and study their business use cases. We will then consider a case study to learn how to use a design sprint framework to ideate about exploratory analytics project plan. Learning objectives: Analyze how exploratory analytics concepts can be used to solve business problems Construct an issue tree for an exploratory analytics project Select a solution approach and define an exploratory analytics project
University of Minnesota (via Coursera)
In this course you will learn and practice several techniques for user interface evaluation. First we start with techniques that can be applied alone or in a design team, including action analysis, walkthroughs, and heuristic evaluation. Then we move on to user testing, including learning from a series of usability tests carried out in a real usability lab, and techniques to carry out your own tests even without a lab. Finally, we wrap up the discussion of evaluation--and of UI Design in the specialization as a whole--by looking at the question of how to set and measure usability goals, and in turn, when a design is usable enough to release it.
University of Minnesota (via Coursera)
This course introduces state-of-the-art techniques for automated analysis. Automated analysis encompasses both approaches to automatically generate a very large number of tests to check whether programs meet requirements, and also means by which it is possible to prove that software meets requirements and that it is free from certain commonly-occurring defects, such as divide-by-zero, overflow/underflow, deadlock, race-condition freedom, buffer/array overflow, uncaught exceptions, and several other commonly-occurring bugs that can lead to program failures or security problems. The learner will become familiar with the fundamental theory and applications of such approaches, and apply a variety of automated analysis techniques on example programs. After completing this course, a learner will be able to: Understand the foundations of automated verification: randomization and symbolic representations Distinguish the strengths and weaknesses of random testing, symbolic analysis, static analysis, and model checking Use a variety of state-of-the-art static analysis and automated testing tools for automated verification Create executable requirements as an oracle suitable for automated testing and symbolic analysis Understand how the choice of oracle affects fault-finding for automated analysis strategies. Use automated testing to achieve full mutation coverage Create a test plan that utilizes both manually-written tests and automated tests towards maximizing rigor, minimizing effort and time, and minimizing test costs. This course is intended for learners interested in understanding the principles of automation and the application of tools for analysis and testing of software This knowledge would benefit several typical roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast. We expect that you have some familiarity with the Software development Life-Cycle, an...
University of Minnesota (via Coursera)
This fifth and final course is centered on planetary health as a fundamental health determinant. As we consider how the health of humans is dependent on the health of Earth’s natural systems, we will also explore how to apply futures thinking and foresight principles to planetary health initiatives. The topics of this course include: 1. Introduction to Planetary Health 2. Values and Sources of Knowledge 3. Action and Movement Building 4. Foresight 5. Data Applications: Regression Analysis and Scatter Plot Visualization
University of Minnesota (via Coursera)
In this introductory course, the field of microfabrication and how it is used to create semiconductor and MEMS devices is presented. Learners will develop a high-level understanding of the basic principles of physics and material properties that power the functionality of these technologies. A foundational overview provides learners with a greater appreciation of the varied and interconnected driving forces that influence device design, fabrication, and testing through the lenses of the fabrication process flow, commercial market, and value chain. Introduction to the cleanroom as a critical component of device success familiarizes learners to the microfabrication environment. This course is part of the Semiconductor and MEMS Fabrication Specialization. It is recommended that learners take the previous courses of the Specialization prior to this course. Please disregard module numbers because the content has been reorganized to improve comprehension and flow of the specialization.
University of Minnesota (via Coursera)
In this course, you will learn the fundamental techniques for making personalized recommendations through nearest-neighbor techniques. First you will learn user-user collaborative filtering, an algorithm that identifies other people with similar tastes to a target user and combines their ratings to make recommendations for that user. You will explore and implement variations of the user-user algorithm, and will explore the benefits and drawbacks of the general approach. Then you will learn the widely-practiced item-item collaborative filtering algorithm, which identifies global product associations from user ratings, but uses these product associations to provide personalized recommendations based on a user's own product ratings.
University of Minnesota (via Coursera)
Predictive analytics turns data into a crystal ball, empowering your organization to anticipate trends, seize opportunities, and stay ahead of the curve with every decision. In this course, we will begin with an overview of predictive analytics models, such as decision trees, kNN, and neural networks, and explore their business applications. Following this, we will examine a case study about customer churn to learn how to use a design sprint framework for brainstorming a predictive analytics project plan. Learning objectives: Examine how predictive analytics principles can be applied to address business challenges. Examine advanced ML/AI models for predictive analytics Analyze business context and construct an issue tree for a predictive analytics project Select a solution approach and define a predictive modeling project
University of Minnesota (via Coursera)
This course is designed for nurses who are drawn to practice in a different way – nurses who value whole-person care and know that the essence of nursing practice is truly caring and healing. You will learn about the principles and practices of Integrative Nursing and how you can be a healing presence to all you serve. Then, you will do an integrative assessment and apply the principles of Integrative Nursing to improve symptom management and overall patient outcomes. Finally, you will explore ways to become a leader in Integrative Nursing and create new patient care models. Continuing Education (CE) Credits This course has been designed to meet Minnesota Board of Nursing continuing education requirements for 12 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.
University of Minnesota (via Coursera)
This course in the Healthcare Marketplace specialization gives the learner an in-depth view of the intellectual property creation that is vital to creating breakthrough technologies. Included is an understanding of the strategy deployed for pricing drugs and new technologies as well as the market sizing exercise to identify where future research and development investments should be made.
University of Minnesota (via Coursera)
MEMS devices leverage the same equipment and processes used for semiconductor devices to create microscale sensors and actuators that drive innovation across a wide range of technologies in modern society. Through this course, learners will be able to demonstrate how these processes are specifically used for MEMS fabrication and highlight some differences from semiconductor fabrication. Key applications in consumer, industrial, aerospace, and medical applications are highlighted and described in more detail. This course is part of the Semiconductor and MEMS Fabrication Specialization. It is recommended that learners take the previous courses of the Specialization prior to this course. Please disregard module numbers because the content has been reorganized to improve comprehension and flow of the specialization.
University of Minnesota (via Coursera)
In this course, we explore the AMIA Nursing Informatics History Project. By the end of the module, you will understand the resources available that will be used in this course to learn about the first hand experiences, future vision, and lessons learned in becoming a nursing informatics pioneer. Course Objectives: • Explore the history of technology and its relationship to the beginning of nursing informatics to understand historical context and evolution of the specialty • Discover the AMIA Nursing Informatics History Project website to gain insight about nursing informatics pioneer leaders and leadership • Explain the criteria used for choosing the pioneering leaders in nursing informatics to understand how the project was conducted and who the pioneers were • Examine leadership lessons learned from one of the pioneers and compare to the insights presented to appreciate diverse historical leadership roles and scenarios
University of Minnesota (via Coursera)
Agile embraces change which means that team should be able to effectively make changes to the system as team learns about users and market. To be good at effectively making changes to the system, teams need to have engineering rigor and excellence else embracing change becomes very painful and expensive. In this course, you will learn about engineering practices and processes that agile and traditional teams use to make sure the team is prepared for change. In additional, you will also learn about practices, techniques and processes that can help team build high quality software. You will also learn how to calculate a variety of quantitative metrics related to software quality. This is an intermediate course, intended for learners with a background in software development. To succeed in the course, you should have experience developing in modern programming languages (e.g., Java, C, Python, JavaScript), an understanding of software development lifecycle models, familiarity with UML diagrams (class and sequence diagrams), and a desire to better understand quality aspects of software development beyond program correctness. At the end of this course, you will be able to comfortably and effectively participate in various techniques and processes for building secure and high quality software.
University of Minnesota (via Coursera)
This course explores how genetic variation shapes synaptic function, neural circuits, and behavior. Learners will examine how specific gene mutations alter communication between neurons and how these molecular changes scale up to influence cognition, development, and addiction. The course begins by investigating genetic disruptions of synaptic proteins using Fragile X syndrome as a central example. Learners will explore how mutations in key regulatory genes impair synaptic plasticity, alter neural development, and contribute to neurological symptoms, while also examining current challenges and emerging therapeutic strategies for genetic brain disorders. The course then introduces genetic knockout models as powerful tools for identifying gene function, highlighting research on nicotinic acetylcholine receptor subunits and human genetic mutations that serve as natural experiments in understanding disease mechanisms. In the final module, learners integrate these concepts to study complex synaptic modulation within the brain’s reward pathway, using nicotine addiction and smoking as case studies. The course explores how multiple neurotransmitter systems interact within reward circuits to drive motivation and reinforcement, and concludes with an overview of smoking cessation therapies, emphasizing the pharmacokinetic and pharmacodynamic principles that determine their clinical effectiveness. This course is designed for learners with a background in biology who are interested in neuroscience, genetics, pharmacology, or addiction science. It is especially well suited for learners preparing for careers in medicine, biomedical research, psychology, pharmacy, or other health sciences.
University of Minnesota (via Coursera)
Chronic pain is at epidemic levels and has become the highest-cost condition in health care. This course uses evidence-based science with creative and experiential learning to better understand chronic pain conditions and how they can be prevented through self-management in our cognitive, behavioral, physical, emotional, spiritual, social, and environmental realms. The goal of this course is to blend creative, experiential, and evidence-based teaching strategies to help participants understand chronic pain conditions and how a human systems approach can be applied to self-management strategies to reduce risk factors, enhance protective factors, and prevent chronic pain. There are four major objectives to the course; 1. Describe the prevalence, personal impact, and health care dilemma associated with chronic pain. 2. Recognize the clinical characteristics and underlying etiology of several common pain conditions and the peripheral, central, and genetic mechanisms of chronic pain 3. Based on the literature associated with risk and protective factors in the seven realms of our lives, learn specific strategies in each realm that can be employed daily to prevent chronic pain and enhance wellness. 4. Appreciate the value of a human systems approach to health care and how it can provide a basis for integrative, interdisciplinary, and individualized care to preventing pain and enhancing wellness. CONTINUING EDUCATION CREDIT Health Care Professionals Health care professionals who participate in this CE activity may submit this certificate statement of participation to their appropriate accrediting organizations or state boards for consideration of credit. The participant is responsible for determining whether this activity meets the requirements for acceptable continuing education. Email your Coursera certificate statement of completion to your appropriate organization.
University of Minnesota (via Coursera)
Thin-film deposition, lithography, and etching form the most fundamental processes used in microfabrication to create devices. This course introduces these processes, providing learners with an understanding of the techniques, physical phenomena, and material properties that inform fabrication decisions. This course is part of the Semiconductor and MEMS Fabrication Specialization. It is recommended that learners take the previous courses of the Specialization prior to this course. Please disregard module numbers because the content has been reorganized to improve comprehension and flow of the specialization.
University of Minnesota (via Coursera)
In the Healthcare Marketplace specialization capstone course, key skills are engendered from the four prior courses to create an original medical innovation valuation. The first course in the specialization teaches the learner to size a population or market. The second course teaches whether the clinician will or will not find value from deploying a new innovation. The third course identifies the competitive landscape of medical technology innovations to compete or complement. The fourth course, teaches how to put a monetary value on the improvement in health resulting from a new innovation. The summary of these elements creates a document of high strategic value where the learner has demonstrated not only an understanding of the marketplace but what is required for the marketplace to advance. This is what is accomplished during the Healthcare Marketplace capstone experience.
University of Minnesota (via Coursera)
Welcome to the exciting world of Healthcare Delivery Providers! This second course in the Healthcare Marketplace Specialization will help you understand the various providers of healthcare across the U.S. delivery continuum. We will explore the unique value proposition of the various providers- from hospitals and clinics to physicians to community based providers. We will dissect this important value chain using various lenses such as- site of care delivery, people who provide the care and payers who pay for care. You will also learn about the challenges facing these providers and the innovations they are creating in order to help transform this important industry. I will use readings such as a case study and videos to make this learning more experiential for you, so that you can see and feel the world of healthcare delivery. I will also explain the various acronyms and specialized terms used in healthcare, so that you become more proficient and familiar with the language. Given the fact that Healthcare is one of the largest industries in the U.S. and growing at an rapid pace, it is critical that current and future leaders understand the internal and external drivers that are shaping this industry. Current and future leaders will need to constantly innovate in order to sustain this industry into the future- by creating value for the end customer and the entire population, as well as increasing engagement of the humans who work within this industry. Get ready to take a deep dive into the complex ocean that is U.S. healthcare delivery- and make sure your oxygen tank is securely fastened!
University of Minnesota (via Coursera)
This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations. After completing this course, you will be able to compute a variety of recommendations from datasets using basic spreadsheet tools, and if you complete the honors track you will also have programmed these recommendations using the open source LensKit recommender toolkit. In addition to detailed lectures and interactive exercises, this course features interviews with several leaders in research and practice on advanced topics and current directions in recommender systems.