Online courses directory (19947)

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.

Probabilistic models use the language of mathematics. But instead of relying on the traditional "theorem - proof" format, we develop the material in an intuitive -- but still rigorous and mathematically precise -- manner. Furthermore, while the applications are multiple and evident, we emphasize the basic concepts and methodologies that are universally applicable.

The course covers all of the basic probability concepts, including:

• multiple discrete or continuous random variables, expectations, and conditional distributions
• laws of large numbers
• the main tools of Bayesian inference methods
• an introduction to random processes (Poisson processes and Markov chains)

The contents of this course are essentially the same as those of the corresponding MIT class (Probabilistic Systems Analysis and Applied Probability) -- a course that has been offered and continuously refined over more than 50 years. It is a challenging class, but it will enable you to apply the tools of probability theory to real-world applications or your research.

This course provides an elementary introduction to probability and statistics with applications. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression.

The Spring 2014 version of this subject employed the residential MITx system, which enables on-campus subjects to provide MIT students with learning and assessment tools such as online problem sets, lecture videos, reading questions, pre-lecture questions, problem set assistance, tutorial videos, exam review content, and even online exams.

The world is full of uncertainty: accidents, storms, unruly financial markets, and noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.

This is Part 1 of a 2-part sequence on the basic tools of probabilistic modeling. Part 1 introduces the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of general applicability. Part 2 will then continue into further topics that include laws of large numbers, the main tools of Bayesian inference methods, and an introduction to random processes (Poisson processes and Markov chains).

The contents of the two parts of the course are essentially the same as those of the corresponding MIT class, which has been offered and continuously refined over more than 50 years. It is a challenging class, but will enable you to apply the tools of probability theory to real-world applications or your research.

Probabilistic models use the language of mathematics. But instead of relying on the traditional "theorem - proof" format, we develop the material in an intuitive -- but still rigorous and mathematically precise -- manner. Furthermore, while the applications are multiple and evident, we emphasize the basic concepts and methodologies that are universally applicable.

Photo by User: Pablo Ruiz Múzquiz on Flickr. (CC BY-NC-SA 2.0)

Take your first steps toward a career as a computer programmer as you master basic programming concepts and get hands-on practice in writing applications containing GUIs, sound, and graphics.

This course provides a complete introduction to programming for digital musicians and artists, in the real-time multimedia language ChucK. Rich with practical examples and pointers to additional web resources, it can be understood by novices wishing to learn to program interactive arts systems.

The course, lecture, and examples build on each other to teach the fundamentals of programming in general (logic, loops, functions, objects, classes) and also deals with advanced topics including multi-threading, events and signals. Throughout the course, students create meaningful and rewarding expressive digital “instruments” that make sound and music in direct response to program logic. The ChucK language provides precise high-level control over time, audio computation, and user interface elements (track pad, joysticks, etc.). ChucK is used (unknowingly in most cases, via SMule Apps) by millions of users throughout the world, and is the backbone of dozens of academic programs and laptop orchestras. Learning to program using ChucK, through the musical examples provided in this course, will prepare students to program in C++, Java, and other languages. There will be special guest lectures from creators of the ChucK language, Dr. Ge Wang (Stanford University) and Dr. Perry R. Cook (Princeton University).

This course is an introduction to writing code within the context of the visual arts. It asks two primary questions:

What is the potential of software within the visual arts?
As a designer or artist, why would I want (or need) to write software?

Software influences all aspects of contemporary visual culture. Many established artists have integrated software into their process. Prominent architects and designers not only use software, they commission custom software to help them realize their unique ideas. The creators of every innovative video game and Hollywood animated film write custom software to enhance their work.

As a comprehensive first introduction to the potential of software development within a broad range of the arts, this course aspires to teach you to engage the computer more directly with code. Programming opens the possibility to create not only tools, but systems, environments, and new modes of expression. It is here that the computer ceases to be a tool and becomes a medium.

This course is an introduction to software engineering, using the Java™ programming language. It covers concepts useful to 6.005. Students will learn the fundamentals of Java. The focus is on developing high quality, working software that solves real problems.

The course is designed for students with some programming experience, but if you have none and are motivated you will do fine. Students who have taken 6.005 should not take this course. Each class is composed of one hour of lecture and one hour of assisted lab work.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

In this introductory course, you will learn programming with Java in an easy and interactive way.

You will learn about fundamental data structures, such as lists, stacks, queues and trees, and presents algorithms for inserting, deleting, searching and sorting information on these data structures in an efficient way.

Emphasis is put on immediate feedback and on having a fun experience. Programming knowledge is not only useful to be able to program today’s devices such as computers and smartphones. It also opens the door to computational thinking, i.e. the application of computing techniques to every-day processes.

This course is designed taking into account the subset and recommendations of the College Board in order to prepare learners for the Advanced Placement (AP) Computer Science A exam. 

In this introductory Java programming course, you will be introduced to powerful concepts such as functional abstraction, the object oriented programming (OOP) paradigm and Application Programming Interfaces (APIs). Examples and case studies will be provided so that you can implement simple programs on your own or collaborate with peers.

Emphasis is put on immediate feedback and on having a fun experience. Programming knowledge is not only useful to be able to program today’s devices such as computers and smartphones. It also opens the door to computational thinking, i.e. the application of computing techniques to every-day processes.

This edition is an improved version of the course released in April 2015.

This is an introductory course to learn programming with Java. It is comprised of three parts, of which Part 1 introduces programming on the basis of familiar concepts, like calculators and games. This edition is an improved version of the course released in April 2015.

Powerful concepts such as functional abstraction, the object oriented programming (OOP) paradigm and Application Programming Interfaces (APIs) are progressively introduced throughout the five weeks. Examples and case studies are provided so that learners can implement simple programs on their own or collaborating with peers.

Part 2 will focus on how to write “good” programs, where “good” is to be understood from several perspectives: correctness, efficiency, software engineering techniques, and ethics.

Part 3 will deal with fundamental data structures, such as sequences, and algorithms on them, such as searching and sorting.

Emphasis is put on immediate feedback and on having a fun experience. Programming knowledge is not only useful to be able to program today’s devices such as computers and smartphones. It also opens the door to computational thinking, i.e. the application of computing techniques to every-day processes.

This is an introductory course to learn programming with Java designed to teach how to code good programs in Java, understanding “good” as both correct and efficient. Basic principles of software engineering will be introduced to make it easier for our future self and others to reuse code. Ethical issues and the intellectual property of our programs will also be addressed in the last part of this course. Examples and case studies will be provided, so that learners can implement simple but increasingly complex programs in Java.

Emphasis is put on immediate feedback and on having a fun experience. Programming knowledge is not only useful to be able to program today’s devices such as computers and smartphones. It also opens the door to computational thinking, i.e. the application of computing techniques to every-day processes.

This course is designed taking into account the subset and recommendations of the College Board in order to prepare learners for the Advanced Placement (AP) Computer Science A exam..

This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals.

Computer programming skills are now becoming part of basic education as these skills are increasingly of vital importance for future job and career prospects. This free online course introduces you to the core components of programming using the Python programming language which is one of the most popular programming languages worldwide. The course shows you how to use the free open-source PyScripter IDE for Python to write basic programs using concepts such as functions, variables, If Else statements, For loops, While loops, iterative and recursive programs and algorithms such as the Insertion Sort algorithm. This course will be of great interest to all learners who would like to gain a thorough knowledge and understanding of the basic components of computer programming using the Python language – and might be a gentle introduction to programming for those who think they might have a longer term interest in the subject area. <br />

Project management is an essential skill-set for many careers and in many contexts in our lives. Introduction to Project Management is an ideal starting point if you need to manage projects at work or at home, while not necessarily being a formally trained project manager. It is also suitable if you are considering undertaking a project in the near future and are seeking to learn and apply essential project management knowledge and skills.

To deliver a project successfully, it’s important to start by clearly identifying what the project is, and what its outcomes will be. In the course, we will show you practical ways to explore and understand your goals from the outset of your project, and to consider all the factors that may affect its execution. Step by step you will learn how to plan, scope, schedule, cost and manage your project from beginning to end. Since every project relies on the people who are delivering it, the course also enables you to explore how you can effectively communicate, manage people and employ leadership skills to successfully deliver your own project.

In Introduction to Project Management, you will learn practical ways to use project management skills, whether your project is large or small. Join us to explore how you can benefit from using project management techniques in your own projects.

Learn the fundamentals of project management as based on the PMBOK guide. Introduces top project management techniques.

Based on the Project Management Body of Knowledge Guide - 5th Edition, published by the PMI, USA this course will also help you prepare for the Project Management Professional Certification Exam.