This is a guide to HTML, a standard markup language for web pages. A text editor and a web browser is all you need to create web pages, view your handiwork, and share information with others all over the world.

This book covers simple HTML syntax. For dynamic behavior in websites, see the JavaScript wikibook. Another separate book covers Cascading Style Sheets (CSS) which handle overall look and styling, but the present book addresses CSS briefly. Additionally, XHTML has its own textbook.

Students apply the design process to the problem of hiding a message in a digital image using steganographic methods, a PictureEdit Java class, and API (provided as an attachment). They identify the problems and limitations associated with this task, brainstorm solutions, select a solution, and implement it. Once their messages are hidden, classmates attempt to decipher them. Based on the outcome of the testing phase, students refine and improve their solutions.

This course focuses on the fundamentals of information security that are used in protecting both the information present in computer storage as well as information traveling over computer networks. Upon successful completion of this course, the student will be able to: explain the challenges and scope of information security; explain such basic security concepts as confidentiality, integrity, and availability, which are used frequently in the field of information security; explain the importance of cryptographic algorithms used in information security in the context of the overall information technology (IT) industry; identify and explain symmetric algorithms for encryption-based security of information; identify and explain public key-based asymmetric algorithms for encryption-based security of information; describe the access control mechanism used for user authentication and authorization; describe Secure Sockets Layer (SSL) as a common solution enabling security of many applications, including all Internet-based commerce; describe securing Internet Protocol (IP) communications by using Internet Protocol Security (IPSec); explain the importance of physical security and discuss ways to improve physical security of an enterprise; explain the use of such security tools as firewalls and intrusion prevention systems; explain malicious software issues, such as those brought forth by software-based viruses and worms; explain common software security issues, such as buffer overflow; describe the basic process of risk assessment in the context of overall IT security management. (Computer Science 406)

"This innovative, trans-faculty subject teaches how information technologies (IT) are reshaping and redefining the health care marketplace through improved economies of scale, greater technical efficiencies in the delivery of care to patients, advanced tools for patient education and self-care, network integrated decision support tools for clinicians, and the emergence of e-commerce in health care. Student tutorials provide an opportunity for interactive discussion. Interdisciplinary project teams comprised of Harvard and MIT graduate students in medicine, business, law, education, engineering, computer science, public health, and government collaborate to design innovative IT applications. Projects are presented during the final class. ĺĘ Starting in Spring 2010, this course will be titled Enabling Technology Innovation in Healthcare and the Life Sciences."

This is a discussion-based, interactive seminar on the development of information and communication technology in Sub-Saharan Africa. The students will seek to understand the issues surrounding designing and instituting policy, and explore the possible ways in which they can make an impact on information and communication technology in Africa.

The course is a comprehensive introduction to the theory, algorithms and applications of integer optimization and is organized in four parts: formulations and relaxations, algebra and geometry of integer optimization, algorithms for integer optimization, and extensions of integer optimization.

This course is based on the work of the MIT-African Internet Technology Initiative (MIT-AITI). MIT-AITI is an innovative approach by MIT students to integrate computers and internet technology into the education of students in African schools. The program focuses upon programming principles, cutting-edge internet technology, free open-source systems, and even an entrepreneurship seminar to introduce students in Africa to the power of information technology in today's world. MIT-AITI achieves this goal by sending MIT students to three African nations in order to teach both students and teachers through intensive classroom and lab sessions for six weeks. The AITI program is implemented with emphasis on classroom teaching, community-oriented projects, and independent learning. This course has two major components: Content from a spring 2005 preparatory seminar offered by the MIT-AITI leadership. The goal of this seminar is to adequately prepare the AITI student teachers for their upcoming summer experiences in Africa. A snapshot of the summer 2005 MIT-AITI program. This includes the Javaĺ¨-based curriculum that MIT-AITI ambassadors teach in Africa each year, as well as content from an entrepreneurship seminar offered concurrently with the IT class.

This course is intended to assist undergraduates with learning the basics of programming in general and programming MATLAB in particular.

Designed as a freshmen seminar course, faculty from various School of Engineering departments describe the research and educational opportunities specific to and offered by their departments. Background lectures by the 20.010J staff introduce students to the fundamental scientific basis for bioengineering. Specially produced videos provide additional background information that is supplemented with readings from newspaper and magazine articles. Bioengineering at MIT is represented by the diverse curricula offered by most Departments in the School of Engineering. This course samples the wide variety of bioengineering options for students who plan to major in one of the undergraduate Engineering degree programs. The beginning lectures describe the science basis for bioengineering with particular emphasis on molecular cell biology and systems biology. Bioengineering faculty will then describe the bioengineering options in a particular engineering course as well as the type of research conducted by faculty in the department.

This is a fast-paced introductory course to the C++ programming language. It is intended for those with little programming background, though prior programming experience will make it easier, and those with previous experience will still learn C++-specific constructs and concepts. 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 will introduce students to the field of computer science and the fundamentals of computer programming. No prior programming experience is required. Upon successful completion of this course, students will be able to: Demonstrate an understanding of the history of computing as well as fundamental hardware and software concepts; Demonstrate an understanding of the programming life cycle; Explain how the JVM translates Java code into executable code; Demonstrate an understanding of Object-Oriented Programming concepts; Demonstrate an understanding of basic Java concepts by writing simple programs; Demonstrate an understanding of logical and relational operators as well as control structures; Demonstrate proficiency in basic Java I/O techniques by writing small programs. (Computer Science 101; See also: Mathematics 302)

This course is a continuation of the first-semester course titled Introduction to Computer Science I. It will introduce the student to a number of more advanced Computer Science topics, laying a strong foundation for future academic study in the discipline. The student will begin with a comparison between Java--the programming language utilized last semester--and C++, another popular, industry-standard programming language. The student will then discuss the fundamental building blocks of Object-Oriented Programming, reviewing what they have learned learned last semester and familiarizing themselves with some more advanced programming concepts. The remaining course units will be devoted to various advanced topics, including the Standard Template Library, Exceptions, Recursion, Searching and Sorting, and Template Classes. By the end of the class, the student will have a solid understanding of Java and C++ programming, as well as a familiarity with the major issues that programmers routinely address in a professional setting. Upon successful completion of this course, the student will be able to: Demonstrate an understanding of the concepts of Java and C++ and how they are used in Object-Oriented Programming; Demonstrate an understanding of the history and development of Object-Oriented Programming; Explain the importance of the C++ Standard Template Library and how basic components are used; Demonstrate a basic understanding of the importance of run-time analysis in programming; Demonstrate an understanding of important sorting and search routines in programming; Demonstrate an understanding of the generic usage of templates in programming for C++ and Java; Compare and contrast the features of Java and C++. (Computer Science 102; See also: Mathematics 303)

This course presents the fundamentals of object-oriented software design and development, computational methods and sensing for engineering, and scientific and managerial applications. It cover topics, including design of classes, inheritance, graphical user interfaces, numerical methods, streams, threads, sensors, and data structures. Students use Java programming language to complete weekly software assignments. How is 1.00 different from other intro programming courses offered at MIT? 1.00 is a first course in programming. It assumes no prior experience, and it focuses on the use of computation to solve problems in engineering, science and management. The audience for 1.00 is non-computer science majors. 1.00 does not focus on writing compilers or parsers or computing tools where the computer is the system; it focuses on engineering problems where the computer is part of the system, or is used to model a physical or logical system. 1.00 teaches the Java programming language, and it focuses on the design and development of object-oriented software for technical problems. 1.00 is taught in an active learning style. Lecture segments alternating with laboratory exercises are used in every class to allow students to put concepts into practice immediately; this teaching style generates questions and feedback, and allows the teaching staff and students to interact when concepts are first introduced to ensure that core ideas are understood. Like many MIT classes, 1.00 has weekly assignments, which are programs based on actual engineering, science or management applications. The weekly assignments build on the class material from the previous week, and require students to put the concepts taught in the small in-class labs into a larger program that uses multiple elements of Java together.

This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software. Acknowledgements The course materials were developed jointly by Prof. Stephen Boyd (Stanford), who was a visiting professor at MIT when this course was taught, and Prof. Lieven Vanderberghe (UCLA).

An introduction to several fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle. The three parts of the course - bits, signals, and packets - cover three corresponding layers of abstraction that form the basis of communication systems like the Internet. The course teaches ideas that are useful in other parts of EECS: abstraction, probabilistic analysis, superposition, time and frequency-domain representations, system design principles and trade-offs, and centralized and distributed algorithms. The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real-world communication channels.

Introductory subject suitable for students with little or no previous background in electronics. Elementary network theory with op-amps, transients, second order linear systems and active filters, AM and FM modulation, diode and transistor circuits, design of digital circuits. Examples emphasize practical uses of electronics in experimental science. Alternate week laboratory.

This course is an introduction to linear optimization and its extensions emphasizing the underlying mathematical structures, geometrical ideas, algorithms and solutions of practical problems. The topics covered include: formulations, the geometry of linear optimization, duality theory, the simplex method, sensitivity analysis, robust optimization, large scale optimization network flows, solving problems with an exponential number of constraints and the ellipsoid method, interior point methods, semidefinite optimization, solving real world problems problems with computer software, discrete optimization formulations and algorithms.

This subject provides an introduction to modeling and simulation, covering continuum methods, atomistic and molecular simulation, and quantum mechanics. Hands-on training is provided in the fundamentals and applications of these methods to key engineering problems. The lectures provide exposure to areas of application based on the scientific exploitation of the power of computation. We use web based applets for simulations, thus extensive programming skills are not required.

This course provides a general overview of databases, including topics such as database history, modern database systems, the different models used to design a database, and Structured Query Language (SQL), which is the standard language used to access and manipulate databases. Upon successful completion of this course, the student will be able to: compare and contrast the database approach and the file system approach; explain what a database management system is as well as the various components; identify the various people involved in database management systems; explain the historical background of database management systems; compare the various database models; describe the functions of a database management system; explain the three-schema database architecture; describe what tables, indexes, and views are as well as discuss the differences among them; explain the entity-relationship model; develop an entity-relationship model based on user requirements; describe the relational database model; explain the process of normalization; convert an entity-relationship diagram to a set of normalized relations; explain referential integrity; identify how relational algebra is used to construct queries; describe and use data definition commands; describe and use data manipulation commands; explain how to join tables together for queries. (Computer Science 403)

" 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."