Weill Medical College of Cornell University · Courses
eCornell MAE
22 courses with the subject eCornell MAE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
eCornell MAE111Foundations of CFD0
Computational fluid dynamics (CFD) aims to analyze and solve fluid mechanics problems within a variety of practical contexts. In particular, CFD approximately solves the mathematical models in fluid mechanics using numerical solution strategies with computer modeling software. Through the use of modeling software, you will leverage the computational power of the computer to complete calculations that would otherwise be impossible to do by hand. You will also generate clear visual representations of your solution that make interpretation by humans much easier and enable us to develop physical intuition. To ensure that your solutions accurately represent reality, however, you need to first understand how the "black box" of your modeling software functions and have methods to verify and validate your results.
The framework used in this course for solving fluid dynamics problems can be applied to a wide array of situations and contexts. You will work on a 2D incompressible laminar flow problem in Ansys. Working with 2D flow simulations will help prepare you to create reliable fluid flow simulations for more complex 3D applications such as a car body, fan, and airplane.
While 2D simulations are a good place to begin, many of the real-world applications of simulation require simulating 3D conditions. In this course, you will work on a 3D turbulent flow problem in Ansys. You will apply the ideas covered in the previous course on 2D laminar flow, now extending to 3D turbulent flow, which is relevant for many industrial applications of simulation.
Rotating machinery is very important to consider in practice because it exists all around us in many forms, such as wind turbines, compressors, and fans. In this course, you will work on rotating machinery flow problems. This problem extends the same underlying physics and governing equations applied to 3D flows, with the added complexity of a moving physical body.
In high-speed flow, density changes are important to account for in order to accurately simulate the flow. In this course, you will work on compressible flow problems in Ansys. A classic example of such a flow problem is airflow over an airplane body. You will solve the governing equations for this type of problem and simulate the high-speed flow over an airplane body.
eCornell MAE131Building and Analyzing a Basic Circuit0
In this course, you will receive a blend of introductory information and practical hands-on experience to orient you to the world of mechatronics. You will design, assemble, and analyze your own simple circuits. You will also learn to set up a microcontroller, which will provide you with tools to use for the rest of the courses. This introduction to circuits and their basic functionality will provide a solid base for you to grow, both throughout this certificate program and beyond. In order to complete the activities in this course, you must be able to download and install the Arduino IDE on your computer. The kit purchased as part of this certificate program will provide you with the physical materials you will need to complete your assignments. You will need to provide your own computer. This program requires the purchase of a kit of electronic components and microcontrollers at a cost of around $550.
eCornell MAE132Building and Measuring a Time-Varying Circuit0
In this course, you will explore circuits whose behavior varies with time. These circuits have a variety of useful applications, and you will learn about both their theoretical design using mathematical circuit analysis and practical circuit assembly. You will also be introduced to a new and incredibly useful tool for analyzing circuits, the oscilloscope. By the end of the course, you will build a practical circuit to complete a specific task without requiring use of a microcontroller. This course will give you a wealth of experience that will be useful as you move toward doing your own open-ended projects. This program requires the purchase of a kit of electronic components and microcontrollers at a cost of around $550.
Learning to program a microcontroller is a crucial skill in the world of mechatronics. Microcontrollers allow you to make circuits that interact with the physical world around them via sensors (which gather data from the surrounding environment) and actuators like motors (which can affect the environment). In this course, you will learn the basic microcontroller functionality required to control inputs and outputs using simple hardware like buttons and LEDs, including an "under the hood" look at how the microcontroller works. The programming concepts you learn in this course will set the stage for controlling more advanced hardware like sensors and motors in future courses and projects. This program requires the purchase of a kit of electronic components and microcontrollers at a cost of around $550.
Motors are a key part of most mechatronic systems. They surround us in the devices we use every day, ranging from the tiny vibration motors in cell phones to the large motors in household appliances. Learning about different types of motors, and how to interface them with a microcontroller to control them, is an important skill that will allow you to build a variety of devices. In this course you will learn how to use and control three different types of motors commonly used in electronic devices. This will prepare you for using these motors in your own projects and other applications outside the classroom. This program requires the purchase of a kit of electronic components and microcontrollers at a cost of around $550.
In this course, you will learn to use a variety of sensors that can measure quantities or variables from the surrounding physical environment such as the movement of a person or animal, the distance to a nearby object, or the amount of ambient light. Accomplishing this requires learning how to get relevant information from a sensor's datasheet and write appropriate microcontroller programs to get data from the sensor in a usable form. Learning to use sensors will allow you to build devices that are interactive and react to the physical world a valuable skill when designing mechatronic systems. This program requires the purchase of a kit of electronic components and microcontrollers at a cost of around $550.
eCornell MAE136Designing and Building Your Own Mechatronic Device0
In this course, you will synthesize everything you have learned so far to design and build a mechatronic system of your choice. You will need to apply what you have learned about circuits, microcontrollers, sensors, and actuators to build a device that reacts to the user or its physical environment somehow. You will need to apply your design, problem solving, and debugging skills to iterate and improve upon your project. Finally, you will document your project you will provide technical documentation including commented code, circuit diagrams, and assembly instructions, and a video that shows off your final design. You are welcome and encouraged to add these materials to your professional portfolio or show them off outside of this course. This program requires the purchase of a kit of electronic components and microcontrollers at a cost of around $550.
eCornell MAE141Conceptual Foundations of Finite Element Analysis0
Finite element analysis (FEA) is a computational technique used to predict how a part or assembly behaves under given conditions, thus reducing the need for physical prototypes in product design while enabling the exploration of a large number of potential designs. It can be used, for example, to simulate the buckling of a wind turbine blade, the deformation of a pressure vessel, or the vibrational response of an electronics enclosure; these are all problems that can be solved computationally that would otherwise be impossible to do by hand. FEA also helps you generate clear visual representations of your solution that make interpretation by humans much easier and enable us to develop physical intuition. To ensure that your solutions accurately represent reality, however, you first need to understand how the "black box" of your modeling software functions and have methods to verify and validate your results. In this course, you will investigate the major elements of what is inside the black box to gain a deep conceptual understanding of how FEA software produces solutions. This will help you build an intuitive understanding of the fundamental mathematical models and physics underlying simulations of static and dynamic behavior of engineering structures. You will also familiarize yourself with the numerical solution strategy employed to solve the mathematical models using the finite element method as well as how to minimize errors. Ultimately, this course will prepare you to build reliable and valid FEA simulations for practical problems using industry-standard simulation software such as Ansys.
eCornell MAE142Ansys Mechanical Concepts and Implementation0
Professor Bhaskaran's framework for solving finite element problems can be applied to an array of situations and contexts. Here, you will have the opportunity to practice applying this framework and begin creating simulations using Ansys. This course has been designed with a focus on problem-based learning: First, you will work on a "bar in extension" problem in Ansys, with Professor Bhaskaran's video demonstrations to help guide you. You will then practice solving a challenge problem on your own. To get the most out of the experience, you should work through each phase of the problem and reach out to your peers or course facilitator when you are stuck. Once you have completed the "bar in extension" problem, you'll be ready to take on a new but similar challenge: bar under gravity force. This challenge problem will require you to apply the same concepts and techniques that you practiced in the example problem but without videos to guide you. You'll be required to answer graded questions at each stage of the process. Your final simulation will be a product of your own efforts and will give you the confidence to begin working on more complex problems in finite element analysis.
Professor Bhaskaran's framework for solving finite element problems can be applied to an array of situations and contexts. To practice applying this framework and create simulations using Ansys, your effort in this course will be focused on problem-based learning. You will explore the big ideas in 3D elasticity then apply them to solve an example static structural problem in Ansys. The example problem will involve analyzing a pressure vessel with a realistic geometry and loads. The geometry will be provided to you as a CAD file. As we set up and solve the simulation in Ansys, we'll keep returning to the big ideas to make sense of the Ansys inputs and outputs. You will follow along in Ansys as Professor Bhaskaran demonstrates best practices for simulating static structural applications. Your final simulation will be a product of your own efforts and will give you the confidence to create reliable static structural simulations.
Professor Bhaskaran's framework for solving finite element problems can be applied to an array of situations and contexts. In order to practice applying this framework and create simulations using Ansys, your effort in this course will be focused on problem-based learning. You will examine the big ideas in beam and shell theories which are the basis for many practical static and dynamic simulations. Shell theory details are complex, but we can understand the underlying concepts as an extension of beam theory. You will apply the big ideas in shell theory to solve a practical problem in Ansys, namely a wind turbine blade with realistic geometry and loads. Professor Bhaskaran will walk you through solving the wind turbine blade example problem in Ansys. The geometry will be provided to you as a CAD file. As you set up and solve the simulation in Ansys, you'll continue to refer back to the big ideas to make sense of the Ansys inputs and outputs. You will follow along in Ansys as Professor Bhaskaran demonstrates best practices for simulating practical shell problems. Your final simulation will be a product of your own efforts and will give you the confidence to create reliable beam and shell simulations.
Vibration is an important consideration in many engineering applications, including compressors, turbines, gears, and bearings. Modal analysis is used to predict the natural frequencies of the structure. Knowing these frequencies, the engineer can design the structure to avoid resonance leading to catastrophic failure. You will explore the big ideas in modal analysis by extending 3D elasticity concepts then apply those big ideas to solve a practical problem in Ansys: predicting the natural frequencies and mode shapes for a turbine disk with blades. Professor Bhaskaran will walk you through solving the "turbine disk with blades" example problem in Ansys. The geometry will be provided to you as a CAD file. As you set up and solve this vibration simulation in Ansys, you'll continue to refer back to the big ideas in modal analysis to make sense of the Ansys inputs and outputs. You will follow along in Ansys as Professor Bhaskaran demonstrates best practices for simulating vibration problems. Your final simulation will be a product of your own efforts and will give you the confidence to create reliable vibration simulations.
How cancer develops and progresses is essential knowledge for anyone creating or marketing cancer-related products or interacting with oncologists or other cancer experts. In this course, you will identify the biological origins of cancer and consider different modes of dysregulation that alter cell behavior. You'll also examine how medicine, radiation, and surgery are used to treat cancer in different ways and situations.
To navigate the evolving landscape of personalized and precise cancer care, a foundation in the genetic and inherited aspects of cancer is essential for engineers, scientists, and others working in this field. In this course, you will trace cancer's journey from DNA mutation to clinical manifestation, gaining insight into the specific genetic changes that disrupt normal cellular processes and create intervention opportunities. You'll interpret signaling diagrams that reveal promising targets for cancer therapeutics and evaluate the effectiveness of different treatment strategies. Whether you are developing cancer-related products, are involved in cancer-related research, or need to engage with clinicians on cancer-related topics, this course will give you insight into how mutations and a person's genes play a role in cancer.
For professionals involved in the cancer field, insight into strategic treatment planning and implementation informs productive discourse and shapes the creation of more effective tools, diagnostics, therapeutics, and policies. In this course, you will begin with the cell-level workings of chemotherapy agents, determining how drug properties influence biological processes and outcomes. You'll analyze targeted therapies and immunotherapies, connecting specific molecular markers and pathways to different intervention approaches. You will also explore how cancer-specific characteristics guide treatment selection and delivery, and you'll locate critical decision points in surgery and radiation plans. Case studies and decision-making frameworks will support your application of these clinical insights in your career and beyond.
Lung and colon cancer rank among the leading causes of cancer death worldwide, highlighting the critical importance of innovating methods of detection, treatment, and monitoring. In this course, you will begin by linking risk factors and screening methods to the detection of lung or colorectal cancer. You'll research how surgical decisions incorporate emerging technologies and discover the trade-offs that surgeons must navigate to optimize patient outcomes. You will then map the stages and clinical relevance of biomarker testing, identifying opportunities to address current limitations. In whatever way you hope to professionally impact cancer care, this course will prepare you to expand your base knowledge of cancer biology and apply techniques and concepts to specific situations and advancements.
For scientists, product developers, and others working in the cancer field, understanding hormone-driven cancers is essential, as they account for nearly one-third of all diagnoses and illustrate the future of precision oncology. In this course, you will examine how age-based factors, genetic risks, and screening capabilities guide the clinical approach to breast and prostate cancer. Through the analysis of case studies, you'll investigate how molecular subtypes and hormone receptor status influence treatment selection throughout disease progression. You will also explore how treatment resistance patterns create unique challenges in these typically slow-growing cancers, and you'll consider how molecular approaches are transforming cancer classification and treatment decisions. Each element of this course will set you up for specific discussions and applications of cancer biology in your workplace and beyond.
eCornell MAE156Lymphoma, Leukemia, and Other Cancers0
Lymphoma, leukemia, and other cancers that circulate in blood and lymph present unique opportunities for diagnosis, treatment, and drug development. In this course, you will consider the molecular origins of these liquid tumors. Through the analysis of biomarkers and testing methodologies, you will examine how blood cancer classification guides treatment selection and monitoring. You'll explore innovative therapeutic strategies while discovering how rare cancer populations create distinct pathways for drug development and approval. By the end of this course, you will be able to confidently discuss these specific cancers in clinical spaces and with other crucial stakeholder groups, such as in patient advocacy or research fields.
