Online Courses and Tutorials

Onlinecourses.tech provides you with the latest online courses information by assisting over 45,000 courses and 1 million students.

Learn programming, marketing, data science and more.

Get started today

Skip to main content

Featured Post

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

Intermediate Grammar Project

Intermediate Grammar Project

About this course: If you have taken the three courses in this specialization, you have learned a lot of grammar in the last few months. This will be a big help to your studies or your career. This capstone project will help you process what you've learned and help you remember it forever. You will create a grammar scrapbook of the difficult or interesting English grammatical structures that you studied in the specialization. You will choose a multi-media tool of your choice, such as video or e-book, to showcase proper use of the grammar. You will also give authentic examples of the grammar found in articles, movies, or songs to make the scrapbook interesting. This will be a scrapbook that you can keep with you long after this specialization ends.

Created by:   University of California, Irvine

  • Tamy Chapman
    Taught by:    Tamy Chapman, Instructor, International Programs
    University of California Irvine Division of Continuing Education
Basic Info
LevelIntermediate
Commitment6 weeks of study, 3-4 hours/week
Language
English
Hardware ReqYou will be required to make a video or other electronic project and share it.
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.2See what learners said
Syllabus
WEEK 1
Introduction
Mastering grammar will give you confidence in your speaking and writing of English. Furthermore, improving these skills will help you achieve your academic or professional goals. You learned a lot of important grammar in this specialization, and you want to make sure you will remember it. In this capstone, you will create a grammar scrapbook of difficult or interesting English grammatical structures--studied in the specialization--that you want to take with you. You will choose a multi-media tool of your choice, such as video or e-book, to showcase proper use of the grammar, and you will also give authentic examples of the grammar found in articles, movies, or songs to make the scrapbook interesting. Doing this project will help reinforce what you have learned in the past few months.

1 video2 readings
  1. Video: Capstone Introduction
  2. Reading: Capstone Assignment and Rubric
  3. Reading: What to Do This Week
  4. Peer Review: Grammar Points Summary
WEEK 2
Choose Your Technology
This week, you'll spend time trying out different tools that you could use to create your scrapbook. Don't just choose the first thing you think of. Choose a technology tool that will make your project interesting and memorable. 

1 reading
  1. Reading: What to Do This Week
  2. Peer Review: Technology Tool Summary
WEEK 3
Find Real-World Examples
You should have already chosen your grammar points and a technology tool to use for your capstone project.This week, you'll search for examples of the grammar points in various media sources. These examples will help to make your project more interesting. 

2 readings
  1. Reading: Search for Examples
  2. Reading: Message about Citing Sources
  3. Peer Review: Making Progress
WEEK 4
Work in Progress
This week, you need to start putting your scrapbook together. Put the grammar and examples into your scrapbook and arrange them to look nice. Working with technology takes more time than you might expect, so don't get behind. 

1 reading
  1. Reading: Creating the Scrapbook
  2. Peer Review: Moving Along
WEEK 5
Reflect on Learning
This week, you should be getting close to finishing the project. Keep working on it. You need to finish the project by next week. As you work this week, reflect on what you have learned in this specialization. 

1 reading
  1. Reading: What to Do This Week
  2. Peer Review: Reflect on Your Learning
WEEK 6
You Made It!
Good job making it to the final week! This week, you'll finish your scrapbook and submit the capstone project for a grade. Be sure to edit and check it carefully before you submit it. 

2 readings
  1. Reading: Final Checklist
  2. Reading: Learn More
Graded: The Finish Line
How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
University of California, Irvine
Since 1965, the University of California, Irvine has combined the strengths of a major research university with the bounty of an incomparable Southern California location. UCI’s unyielding commitment to rigorous academics, cutting-edge research, and leadership and character development makes the campus a driving force for innovation and discovery that serves our local, national and global communities in many ways.


Comments

Popular posts from this blog

Big Data Hadoop Certification Training

Big Data Hadoop training will make you an expert in HDFS, MapReduce, Hbase, Hive, Pig, Yarn, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain. You will get Hadoop certification at the end of the course

About the Training
This Hadoop training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. This course is stepping stone to your Big Data journey and you will get the opportunity to work on a Big data Analytics project after selecting a data-set of your choice. You will get Hadoop certification after the project completion.

Training Objectives
The hadoop training is designed to help you become a top Hadoop developer. During this course, our expert instructors will train you to: Master the concepts of HDFS and MapReduce frameworkUnderstand Hadoop 2.x ArchitectureSetup Hadoop Cluster and write Co…

Hands-on Text Mining and Analytics by Yonsei University

About this course: This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.



LevelIntermediateLanguage English, Subtitles: Chinese (Simplified) How To PassPass all graded assignments to complete the course.
Syllabus

Learn to Program and Analyze Data with Python

About This Specialization This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. Created by: 5 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or LinkedIn. Courses

Deep Learning Specialization

Master Deep Learning, and Break into AI
About This Specialization If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming m…

Launch Your Career in Data Science

A nine-course introduction to data science, developed and taught by leading professors.
About This Specialization Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Created by: Industry Partners: 10 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn.

Master of Computer Science in Data Science

A flexible and affordable degree from one of the top Computer Science programs in the world, focused on one of the hottest fields of the new millennium

Enroll in the Master of Computer Science in Data Science (MCS-DS) and gain access to the computational and statistical knowledge needed to turn big data into meaningful insights. Build expertise in four core areas of computer science—data visualization, machine learning, data mining, and cloud computing—while learning key skills in statistics and information science. This completely online degree is an affordable gateway to one of the most lucrative and fastest growing careers of the new millennium. The MCS-DS is offered by CS @ ILLINOIS, a U.S. News & World Report top five CS graduate program, in collaboration with the University’s Statistics Department and top-ranked iSchool. Join our alumni network of entrepreneurs, educators, and technical visionaries, who have revolutionized the way people communicate, shop, conduct business,…

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

An Introduction to Interactive Programming in Python (Part 1)

About this course: This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
Who is this class for: Recommended Background - A knowledge o…

Программирование на Python

About this course: Python – простой, гибкий и невероятно популярный язык, который используется практически во всех областях современной разработки. С его помощью можно создавать веб-приложения, писать игры, заниматься анализом данных, автоматизировать задачи системного администрирования и многое другое. “Программирование на Python” читают разработчики, применяющие Python в проектах, которыми ежедневно пользуются миллионы людей. Курс покрывает все необходимые для ежедневной работы программиста темы, а также рассказывает про многие особенности языка, которые часто опускают при его изучении. В ходе курса вы изучите конструкции языка, типы и структуры данных, функции, научитесь применять объектно-ориентированное и функциональное программирование, узнаете про особенности реализации Python, научитесь писать асинхронный и многопоточный код. Помимо теории вас ждут практические задания, которые помогут проверить полученные знания и отточить навыки программирования на Python. После успешного о…

Front-End JavaScript Frameworks: Angular

About this course: This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 4.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication and the use of REST API on the server side. You will use Restangular for communicating with a server sup…

Archive