This class is developed around the concept of disobedient interference within the existing models of production of space and knowledge.
Modeling is the main modus operandi of the class as students will be required to make critical diagrammatic cuts through processes of production in different thematic registers – from chemistry, law and economy to art, architecture and urbanism – in order to investigate the sense of social responsibility and control over the complex agendas embedded in models that supports production of everyday objects and surroundings. Students will be encouraged to explore relations between material or immaterial aspects and agencies of production, whether they emerged as a consequence of connection of mind, body and space, or the infrastructural, geographical and ecological complexities of the Anthropocene. These production environments will be taken as modeling settings.

This activity is to expose students to other types of currency of Spanish speaking countries. Students will practice the numbers in Spanish and will use adjectives to describe items that they can sell and buy.

This activity allows students to practice describing vocabulary words using memorized descriptors. Students will learn more ways to describe items and topics.

Advances in cognitive science have resolved, clarified, and sometimes complicated some of the great questions of Western philosophy: what is the structure of the world and how do we come to know it; does everyone represent the world the same way; what is the best way for us to act in the world. Specific topics include color, objects, number, categories, similarity, inductive inference, space, time, causality, reasoning, decision-making, morality and consciousness. Readings and discussion include a brief philosophical history of each topic and focus on advances in cognitive and developmental psychology, computation, neuroscience, and related fields. At least one subject in cognitive science, psychology, philosophy, linguistics, or artificial intelligence is required. An additional project is required for graduate credit.

This is a foundation subject in modern software development techniques for engineering and information technology. The design and development of component-based software (using C# and .NET) is covered; data structures and algorithms for modeling, analysis, and visualization; basic problem-solving techniques; web services; and the management and maintenance of software. Includes a treatment of topics such as sorting and searching algorithms; and numerical simulation techniques. Foundation for in-depth exploration of image processing, computational geometry, finite element methods, network methods and e-business applications. This course is a core requirement for the Information Technology M. Eng. program.
This class was also offered in Course 13 (Department of Ocean Engineering) as 13.470J. In 2005, ocean engineering subjects became part of Course 2 (Department of Mechanical Engineering), and the 13.470J designation was dropped in lieu of 2.159J.

Students will identify objects relating to school correctly in French. Students will pull items from their backpack and correctly identify them in French.

This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff.
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.

Ever hang your head in shame after your Python program wasn’t as fast as your friend’s C program? Ever wish you could use objects without having to use Java? Join us for this fun introduction to C and C++! We will take you through a tour that will start with writing simple C programs, go deep into the caves of C memory manipulation, resurface with an introduction to using C++ classes, dive deeper into advanced C++ class use and the C++ Standard Template Libraries. We’ll wrap up by teaching you some tricks of the trade that you may need for tech interviews.
We see this as a “C/C++ empowerment” course: we want you to come away understanding

why you would want to use C over another language (control over memory, probably for performance reasons),
why you would want to use C++ rather than C (objects), and
how to be useful in C and C++.

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.

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.

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 lab, students will use a word bank on the whiteboard to describe people, places, and things in the presentation slides. Students will first be asked to provide adjectives for color, positive adjectives, and negative adjectives. Students will then flip two coins to determine the sentence they will construct.NCSSFL-ACTFL Can-Do Statements:I can use simple descriptions to describe people, places, and things.I can say whether an object is fast or slow, clean or dirty, etc.I can say whether an object is NOT fast or slow, clean or dirty, etc. 

In this lab, students will practice connecting sentences with te-form by describing a handful of pictures. Pairs of students will then conduct a mock tour, with one student acting as a tour guide and the other acting like a famous historical figure. Once the tour guide has learned enough about the “famous person,” the students will then schedule a tour together, keeping in mind the information gathered from the interview. NCSSFL-ACTFL Can-Do Statements:I can schedule a day’s worth of activities for another person.I can ask about someone’s preferences, including their likes and dislikes.

This course focuses on introducing the language, libraries, tools and concepts of Javaᵀᴹ. The course is specifically targeted at students who intend to take 6.170 in the following term and feel they would struggle because they lack the necessary background. Topics include: Object-oriented programming, primitives, arrays, objects, inheritance, interfaces, polymorphism, hashing, data structures, collections, nested classes, floating point precision, defensive programming, and depth-first search algorithm.

In this activity, students are learning about school supplies. The lab assistant will show a picture of an item and the first student that takes the item out of their backpack and says the name in the target language, will get the point. The lab assistant can also show something that can apply to them. They will be then asked a follow up question and if they can answer, they get the point.

In this activity, students will practice identifying where they can buy certain items. Students will also work on asking a partner what their likes are and use these characteristics to come up with a potential gift for them. Students will learn how to identify preferences, express opinions about items and seek places to purchase items as well.

This activity will help students practice initiating conversations in your language with someone. They will use phrases and vocabulary that will help them gather information from a person as well as giving information about themselves.

This course will consider the degree and nature of the modular organization of the mind and brain. We will focus in detail on the domains of objects, number, places, and people, drawing on evidence from behavioral studies in human infants, children, normal adults, neurological patients, and animals, as well as from studies using neural measures such as functional brain imaging and ERPs. With these domains as examples, we will address broader questions about the role of domain-general and domain-specific processing systems in mature human performance, the innateness vs. plasticity of encapsulated cognitive systems, the nature of the evidence for such systems, and the processes by which people link information flexibly across domains.

Most algorithms in computer vision and image analysis can be understood in terms of two important components: a representation and a modeling/estimation algorithm. The representation defines what information is important about the objects and is used to describe them. The modeling techniques extract the information from images to instantiate the representation for the particular objects present in the scene. In this seminar, we will discuss popular representations (such as contours, level sets, deformation fields) and useful methods that allow us to extract and manipulate image information, including manifold fitting, markov random fields, expectation maximization, clustering and others.
For each concept – a new representation or an estimation algorithm – a lecture on the mathematical foundations of the concept will be followed by a discussion of two or three relevant research papers in computer vision, medical and biological imaging, that use the concept in different ways. We will aim to understand the fundamental techniques and to recognize situations in which these techniques promise to improve the quality of the analysis.

This series of research talks by members of the Department of Brain and Cognitive Sciences introduces students to different approaches to the study of the brain and mind.
Topics include:

From Neurons to Neural Networks
Prefrontal Cortex and the Neural Basis of Cognitive Control
Hippocampal Memory Formation and the Role of Sleep
The Formation of Internal Modes for Learning Motor Skills
Look and See: How the Brain Selects Objects and Directs the Eyes
How the Brain Wires Itself

In this activity, students are learning about school supplies. The lab assistant will start with a Kahoot game that covers the majority of school supplies vocabulary. For the main activity, students are going to play jeopardy to practice vocabulary and also to practice making complete sentences. They will then be asked wrap up questions.