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

Chemerinsky on Constitutional Law – Individual Rights and Liberties

Chemerinsky on Constitutional Law – Individual Rights and Liberties


About this course: Chemerinsky on Constitutional Law: Individual Rights and Liberties will highlight the construction and interpretation of the U.S. Constitution through the centuries with an emphasis on protections of individual liberties and the evolution of equal protection. You'll learn the history behind the Constitution, cases that formed important precedent, and how changes in interpretation have been dependent on shifts in cultural and political climate as well as the composition of the Supreme Court. In this course we will investigate the protection of individual rights and liberties and take a look at what rights are and are not protected and investigate several important shifts in jurisprudence. We'll begin by examining the structure of the Constitution's protection of individual rights. We'll then examine the circumstances under which, various rights and liberties can be regulated by the federal, state, and local government. We'll examine when the government can permissibly treat people unequally and when it can't. In our final two lectures, we'll take a close look at what is probably the most famous amendment to the Constitution, the First Amendment. Join me as we look at the questions both raised and answered by the Constitution and those that interpret it! By the end of this course, you should be able to: - Describe the individual liberties protected by the Constitution and account for the history and structure of their protection - Illustrate compromises found in the Constitution by citing examples and historic background - Articulate the importance of key cases such as Brown v. Board, Lemon v. Kurtzman, and Lochner v. New York - Explain how the outcome of cases is often dependent upon the current cultural and political climate as well as the composition of the court by citing particular cases and important shifts in the court's jurisprudence - Assess the relative suitability of various approaches to constitutional interpretation and analysis


Created by:   University of California, Irvine
  • Erwin Chemerinsky
    Taught by:    Erwin Chemerinsky, Dean and Distinguished Professor of Law, and Raymond Pryke Professor of First Amendment Law
    School of Law
LevelBeginner
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 5.0See what learners said
Syllabus
WEEK 1
Welcome - Let's Get Started

1 video3 readings
  1. Video: Course Introduction
  2. Reading: Welcome Message
  3. Reading: Course Overview
  4. Reading: The Constitution of the United States of America
Lecture 6 (in the series) - The Structure of the Constitution's Protection of Individual Liberties
How are individual rights protected? In this module we’ll take a look at three of the structures that protect our individual liberties: the state action doctrine, the application of the bill of rights to the states, and the levels of scrutiny principle. 

3 videos1 reading
  1. Video: The State Action Doctrine
  2. Video: The State Action Doctrine & Bill of Rights
  3. Video: The Levels of Scrutiny
  4. Reading: Recommended Reading
Graded: Quiz 1: The Structure of the Constitution's Protection of Individual Liberties
WEEK 2
Lecture 7 (in the series) - Individual Liberties
What rights are enumerated in the Constitution? How has the court's understanding and protection of these rights evolved? In this lecture we'll become familiar with the rights that are both specifically enumerated and implied by the text of the Constitution. 

8 videos1 reading
  1. Video: Economic Liberties - Part 1
  2. Video: Economic Liberties & Privacy - Part 1
  3. Video: Privacy - Part 2
  4. Video: Privacy - Part 3
  5. Video: Privacy - Part 4
  6. Video: The Right to Vote
  7. Video: Additional Rights
  8. Video: Substantive and Procedural Due Process
  9. Reading: Recommended Reading
Graded: Quiz 2: Individual Liberties
Graded: Mini-assignment: Individual Liberties
WEEK 3
Lecture 8 (in the series) - Equal Protection
In this module we’ll examine how equal protection has been applied to different suspect classifications such as race, gender, citizenship, and more. In addition, we will consider how the court has used levels of scrutiny in order to determine when the government can permissibly discriminate based upon suspect classifications.

7 videos1 reading
  1. Video: Equality
  2. Video: Racial Discrimination - Part 1
  3. Video: Racial Discrimination - Part 2
  4. Video: Racial Discrimination - Part 3
  5. Video: Racial Discrimination - Part 4
  6. Video: Sexual Discrimination
  7. Video: Other Forms of Discrimination
  8. Reading: Recommended Reading
Graded: Quiz 3: Equal Protection
Graded: Mini-assignment: Equal Protection
WEEK 4
Lecture 9 (in the series) - The First Amendment: Expression
Why is freedom of speech protected as a fundamental right? What is its importance? In this module we’ll review four possible answers to this question. We’ll also examine the basic principles that guide the Supreme Court’s methodology when examining questions of free speech. Finally, we’ll take a look at the types of speech that have not been traditionally protected and the limitations that can be imposed on where protected forms of speech can be exercised.

4 videos1 reading
  1. Video: Why Protect Speech & Methodology of its Protection
  2. Video: The Methodology of Free Speech Protection (continued)
  3. Video: Unprotected Speech
  4. Video: Where Can Free Speech Be Exercised?
  5. Reading: Recommended Reading
Graded: Quiz 4: The First Amendment: Expression
Graded: Mini-assignment: Free speech
WEEK 5
Lecture 10 (in the series) - The First Amendment: Religion
In our final lecture module, we’ll briefly examine the Lemon Test, named after the Lemon v. Kurtzman case in which it was first articulated, to see how the court has evaluated cases regarding the Establishment Clause. We’ll also take a look at how the court decides questions regarding the Free Exercise Clause.

1 video1 reading
  1. Video: The Establishment and Free Exercise Clauses
  2. Reading: Recommended Reading
Graded: Quiz 5: The First Amendment: Religion
Graded: Why the Constitution? 200 Years Later
Conclusion
As the course draws to a final close, we would like to thank you for your participation. 

2 readings
  1. Reading: Thank you!
  2. Reading: Post-Course Survey
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

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

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…

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

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…

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…

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…

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

Introduction to Data Science in Python

About this course: This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it,  manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Ne…

Archive