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Year
2016
Remove constraint Year: 2016
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Courseware
With the growing availability and lowering costs of genotyping and personal genome sequencing, the focus has shifted from the ability to obtain the sequence to the ability to make sense of the resulting information. This course is aimed at exploring the computational challenges associated with interpreting how sequence differences between individuals lead to phenotypic differences in gene expression, disease predisposition, or response to treatment.
- Subjects:
- Computing and Biology
- Keywords:
- Genomics Genomes
- Resource Type:
- Courseware
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Courseware
Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis? In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis. For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.
- Subjects:
- Computing
- Keywords:
- Visual analytics Information visualization Industrial management -- Data processing Dashboards (Management information systems)
- Resource Type:
- Courseware
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Courseware
This course is for all of those struggling with data analysis. You will learn: - Overcome data analysis challenges in your work and research - Increase your productivity and make better business decisions - Enhance your data analysis skills using spreadsheets - Learn about advanced spreadsheet possibilities like array formulas and pivottables - Learn about Excel 2013 features like PowerPivot & PowerMap - Learn to organize and test your spreadsheets
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Courseware
This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. You will learn: - How to make data come to life with well-known types of visualizations such as line and bar graphs and new types of visualizations such as spark lines, contour plots and population pyramids. - How to create dashboards in Excel based on live data that can meet managerial and business needs. - How to connect data from different sources, such as the web and exports from your CRM, ERP, SAP or data warehouse. - Some hands-on data science and how to use actionable analysis tools. - Deep dive into known tools like PivotTables and introduce new ones like the analysis toolpak
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Courseware
In this course, we study elliptic Partial Differential Equations (PDEs) with variable coefficients building up to the minimal surface equation. Then we study Fourier and harmonic analysis, emphasizing applications of Fourier analysis. We will see some applications in combinatorics / number theory, like the Gauss circle problem, but mostly focus on applications in PDE, like the Calderon-Zygmund inequality for the Laplacian, and the Strichartz inequality for the Schrodinger equation. In the last part of the course, we study solutions to the linear and the non-linear Schrodinger equation. All through the course, we work on the craft of proving estimates.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Fourier analysis Differential equations Partial
- Resource Type:
- Courseware
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Courseware
The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.
- Subjects:
- Electrical Engineering
- Keywords:
- Signal processing
- Resource Type:
- Courseware
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Courseware
In this course, you will be exposed to the work of many great documentary photographers and photojournalists, as well as to writing about the documentary tradition. Further, throughout the term, you will hone your photographic skills and 'eye,' and you will work on a photo documentary project of your own, attempting to reduce a tiny area of the moving world to a set of still images that convey what the viewer needs to know about what you saw—without hearing the sounds, smelling the odors, experiencing what was happening outside the viewfinder, and without seeing the motion.
- Subjects:
- Photography
- Keywords:
- Photojournalism Documentary photography
- Resource Type:
- Courseware
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Courseware
The course gives the technological backgrounds of treatment processes applied for production of drinking water. The treatment processes are demonstrated with laboratory experiments. Study goals: Knowledge of technological basics and design parameters of drinking water treatment processes.
- Subjects:
- Environmental Engineering and Hydraulic Engineering
- Keywords:
- Water -- Purification Drinking water -- Purification
- Resource Type:
- Courseware
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Courseware
This course deals with the design of drinking water treatment plants. Theory is discussed and a design exercise is made. Study goals: Understanding of design aspects and design details.
- Subjects:
- Environmental Engineering and Hydraulic Engineering
- Keywords:
- Water -- Purification Water treatment plants -- Design construction Drinking water -- Purification
- Resource Type:
- Courseware
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Courseware
Currently offered in Fall and Winter semesters at the University of Michigan College of Engineering (Ann Arbor, MI), this survey course provides a general introduction to the engineering design process – spanning core topics from problem definition through prototyping and testing, as well as other important considerations such as sustainability, failure analysis, and engineering economics. In some semesters, select lectures have been delivered via screencast prior to class, with corresponding lecture times then involving a complementary or a reinforcing activity. This particular Section of Engineering 100 emphasizes multidisciplinary design, entrepreneurship, and benefitting people's quality of life.
- Keywords:
- Engineering design
- Resource Type:
- Courseware