Courses tagged with "Evaluation" (733)
If you are interested in learning programming, but find pure programming courses not very exciting, this course is for you.
Instead of just learning programming principles outside of any context, you will learn JavaScript programming by implementing key biological concepts in code so they can run in your browser.
If you know a little (or a lot of) programming already, but want to learn more about the rules that govern life without having to pick up a traditional academic textbook, this course will also be of interest to you. You will learn some key ideas that form the basis of modern biology, from population genetics to evolutionary biology to infectious disease spread.
No prior programming knowledge needed.
An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research.
In this course, you will examine the various areas of network security including intrusion detection, evidence collection and defense against cyber attacks.
The issues and facilities available to both the intruder and data network administrator will also be examined to illustrate their effect.
You will learn the principles and concepts of wired and wireless data network security. You will be guided through a series of laboratories and experiments in order to explore various mechanisms for securing data networks including physical layer mechanisms, filters, applications and encryption.
You will analyze attack/defend scenarios and determine the effectiveness of particular defense deployments against attacks.
This course is a part of the RITx Cybersecurity MicroMasters Program.
Networked Life will explore recent scientific efforts to explain social, economic and technological structures -- and the way these structures interact -- on many different scales, from the behavior of individuals or small groups to that of complex networks such as the Internet and the global economy.
This course serves as an introduction to the basic principles that govern all aspects of our networked lives. We will learn about companies like Google and technologies like the Internet in a way that requires no mathematics beyond basic algebra.
The course invites you to examine the interconnectedness of modern life through an exploration of fundamental questions about how our social, economic, and technological worlds are connected. Students will explore game theory, the structure of the Internet, social contagion, the spread of social power and popularity, and information cascades.
This MOOC is based on an interdisciplinary Cornell University course entitled Networks, taught by professors David Easley, Jon Kleinberg, and Éva Tardos. That course was also the basis for the book, Networks, Crowds, and Markets: Reasoning About a Highly Connected World. This course is designed at the introductory undergraduate level without formal prerequisites.
A course driven by 20 practical questions about wireless, web, and the Internet, about how products from companies like Apple, Google, Facebook, Netflix, Amazon, Ericsson, HP, Skype and AT&T work. In this offering, we will cover 7 of the 20 questions, and you will have the opportunity to personalize your own learning experience by choosing which of the versions suits you best.
Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.
Week 1: A first simple neuron model
Week 2: Hodgkin-Huxley models and biophysical modeling
Week 3: Two-dimensional models and phase plane analysis
Week 4: Two-dimensional models (cont.)/ Dendrites
Week 5: Variability of spike trains and the neural code
Week 6: Noise models, noisy neurons and coding
Week 7: Estimating neuron models for coding and decoding
Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.
S3: Smart, secure and sustainable. The potential role and impact of smart grids, eco-cities, flexible infrastructures and ICT
What do hiring managers look for in entry-level developers? According to a recent survey, one of the most requested job skills is "strong object oriented design". Yet traditional computer science programs rarely focus on this area.
In this Java course, examine the role of objects in code, explore how to use them, and see how to design them for optimal code reuse and structure. Get tons of hands-on coding experience using popular Java objects, like Arrays and Lists, and then leverage those learnings to design your own object hierarchies. Plus, practice using inheritance, interfaces, abstract classes, and encapsulation techniques to help you manage large code bases.
Get comfortable employing industry standards in designing and managing complex relationships within a code base, as you add to your computer science skill set.
Go beyond the basics of programming to understand object-oriented methodology, the approach to modular and reusable software systems.
Topics Include:
- Introduction to Object Oriented Programming
- Classes and Methods
- Polymorphism
- Inheritance
- Standard Library of C++
This course is part of the Fundamentals of Computer Science XSeries Program:
This self-paced Office 365 course provides an intensive, in-depth look at how to manage services Office 365, and in particular, how to manage identities, both in the cloud and in situations where Office 365 is synchronized with on-premises Active Directory, or where additional single-sign on (SSO) has been deployed. The course starts with simpler configuration topics before moving on to more complex areas, such as Exchange Online migration, directory synchronization, and single-sign on (SSO) with Active Directory Federation Services (AD FS). This course provides an assortment of review activities to test your knowledge as you work through the course content. You can also view demonstrations covering a variety of Office 365 configuration and implementation tasks.
What sets this course apart is that you perform actual hands-on labs in a live lab environment. In fact, you will perform the same lab activities that students perform in Microsoft’s classroom training equivalent of this course, including:
- Manage users, groups, licenses, and administrator roles
- Configure password management
- Administer rights management
- Manage Office 365 clients
- Perform a live Exchange migration to a live Office 365 tenant
- Configure SharePoint Online and Lync Online in a live environment
- Manage Active Directory Users and Groups with DirSync
- Implement Active Directory Federation Services
- Monitor Office 365 service health
If you are interested in this course, then register today as Office 365: Managing Identifies and Services with Hands-on Labs is limited to 60 students!
In this computer science course, we will take you through the deployment process of migrating your email system to Office 365 using the FastTrack center – a benefit for organizations larger than 150 seats. We will explain the envisioning and onboarding journey as part of the FastTrack process. This course will outline all of the responsibilities the customer must perform as well as explain the FastTrack center’s responsibilities in the onboarding process.
Optimizing Microsoft Windows Server storage is key to keeping pace with your organization’s ever increasing data needs. Once you have initially configured your Microsoft Windows Server storage you will want to take advantage of three key features: iSCSI Storage, Storage Spaces and Data Deduplication.
iSCSI is a protocol that supports remote access to SCSI-based storage devices over a TCP/IP network. It provides and easy to use alternative to Storage Area Networks (SANs) and can use existing infrastructure.
Storage Spaces lets you group physical disks together and present them as a single logical disk. This makes it easy to manage and dynamically allocate storage.
Data Deduplication is a service that identifies and removes duplications within data. The goal of Data Deduplication is to maximize the use of disk space.
This course follows INF201.21, Implementing Microsoft Windows Server Disks and Volumes but it is not required.
Go beyond simple storage strategies and take control of your organization’s storage needs!
Maximizing performance of your SQL based applications ranges from optimization of your database, to various tools and techniques for monitoring and tuning your environments. In this course you’ll learn techniques to run highly performant applications that use SQL Server.
This course is part of the Microsoft SQL Database Development XSeries.
This course is part of the Microsoft Professional Program Certificate in Big Data.
Need to schedule and manage big data workflows?
This data analysis course teaches you how to use Azure Data Factory to coordinate data movement and transformation using technologies such as Hadoop, SQL, and Azure Data Lake Analytics. You will learn how to create data pipelines that will allow you to group activities to perform a certain task.
Note: To complete this course, you will need a Microsoft Azure subscription. You can sign up for a free trial subscription at http://azure.microsoft.com, or you can use your existing subscription. The labs have been designed to minimize the resource costs required to complete the hands-on activities.
Organizations often spend considerable money on collaborative tools – but those tools are of no use unless there’s widespread adoption across teams. How can an organization ensure that the tools in which they’ve invested reach full adoption?
In this course, you will learn methods for engaging users and building internal support for new tools. You’ll learn how to conduct effective training, as well as ways to develop content that will spur adoption. You will learn how to improve productivity and communicate the process for overall collaborative improvement.
Louv1.2x and its predecessor Louv1.1x together give an introduction to all major programming concepts, techniques, and paradigms in a unified framework. We cover the three main programming paradigms: functional, object-oriented, and declarative dataflow.
The two courses are targeted toward people with a basic knowledge of programming. It will be most useful to beginning programming students, but the unconventional approach should be insightful even to seasoned professionals.
Louv1.1x (Fundamentals) covers functional programming, its techniques and its data structures. You’ll use simple formal semantics for all concepts, and see those concepts illustrated with practical code that runs on the accompanying open-source platform, the Mozart Programming System.
Louv1.2x (Abstraction and Concurrency) covers data abstraction, state, and concurrency. You’ll learn the four ways to do data abstraction and discuss the trade-offs between objects and abstract data types. You’ll be exposed to deterministic dataflow, the most useful paradigm for concurrent programming, and learn how it avoids race conditions.
To learn more about the practical organization of the two courses, watch the introductory video.
Louv1.1x and Louv1.2x together give an introduction to all major programming concepts, techniques, and paradigms in a unified framework. We cover the three main programming paradigms: functional, object-oriented, and declarative dataflow.
The two courses are targeted toward people with a basic knowledge of programming. It will be most useful to beginning programming students, but the unconventional approach should be insightful even to seasoned professionals.
Louv1.1x covers fundamental concepts. You’ll learn functional programming, its techniques and its data structures. You’ll use simple formal semantics for all concepts, and see those concepts illustrated with practical code that runs on the accompanying open-source platform, the Mozart Programming System.
Louv1.2x covers data abstraction, state, and concurrency. You’ll learn the four ways to do data abstraction and discuss the trade-offs between objects and abstract data types. You’ll be exposed to deterministic dataflow, the most useful paradigm for concurrent programming, and learn how it avoids race conditions.
To learn more about the practical organization of the two courses, watch the introductory video.
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