Online courses directory (548)

This course teaches the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in life sciences. The lectures are taught in both Mandarin Chinese and English with slides in English. 生物信息学是一门新兴的生命科学与计算科学的前沿交叉学科。本课程讲授生物信息学主要概念和方法，以及如何应用生物信息学手段解决生命科学问题。本课程同时提供中文普通话授课和英文授课两个版本，以及英文幻灯片。

What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access.

Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gentler-paced alternative to the first course in our Bioinformatics Specialization (Finding Hidden Messages in DNA).

Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements. Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics.

This course teaches the design of contemporary information systems for biological and medical data. Examples are chosen from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (e.g. C, C++, Java, Lisp, Perl, Python). A major term project is required of all students. This subject is open to motivated seniors having a strong interest in biomedical engineering and information system design with the ability to carry out a significant independent project.

This course was offered as part of the Singapore-MIT Alliance (SMA) program as course number SMA 5304.

This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. The focus of the course is a series of labs that provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. The labs are done in MATLAB® during weekly lab sessions that take place in an electronic classroom. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs.

In this course, you will explore several structured, risk management approaches that guide information security decision-making. 

This course will serve as a two-week aggressively gentle introduction to programming for those students who lack background in the field. Specifically targeted at students with little or no programming experience, the course seeks to reach students who intend to take 6.001 and feel they would struggle because they lack the necessary background. The main focus of the subject will be acquiring programming experience: instruction in programming fundamentals coupled with lots of practice problems. Lots of programming required, but lots of support provided.

Great managers are made, not born. Learn about the qualities and skills of great managers in this Business 101 course. Instructor Sherri Hartzell holds both an MBA and Ed.D., so she's an excellent choice to teach you about principles of management.

Start by learning about the different levels of management in organizations and then dive into how good managers lead to great employees. Students of business, budding entrepreneurs and independent online learners alike can benefit from these short, engaging video lessons and interactive online quizzes. Business 101: Principles of Management can prepare you to earn real, widely transferable college credit by taking the Principles of Management CLEP exam or the Excelsior Principles of Management exam .

If you have studied the Introduction to Programming in C course available on ALISON it is now time to further enhance your C programming skills by studying numbers, variables and arrays and the functionality they have in computer programming. In this free online C programming course you will gain a much greater knowledge and understanding of numbers, variables and arrays. You will learn more about the basics of numeric overflow and how numbers are encoded as characters in ASCII. You will learn more about variables and the connection between function return values and variables. You will also review the use of arrays and pointers, how to create a pointer in C, and assign a value to a pointer. This free online C programming course will be of great interest to IT professionals who want to enhance their knowledge and understanding of the C programming language and its functionality, and to those learners who want to follow on from the Introduction to Programming in C course.<br />

In computer science control flow is a very important concept to understand for the development of effective and efficient software programs. Control flow is the order in which individual statements, instructions, or function calls are executed within a piece of software. In this free online computer programming course you will learn more about the use of statements and logic in C programming. You will be introduced to conditional flow statements, the mechanisms for controlling flow statements, and how to implement simple statements in C. Logical operators such as OR, GOTO and the While loop are also discussed in detail. This free online computer programming course will be of great interest to all IT professionals who would like to learn more about the use of control flow when developing software using the C programming language, and to all learners who want to learn more about the procedures used to write effective software programs.<br />

C is a powerful system programming language and is commonly used to programme operating systems such as Unix. One of the main advantages of programming in C is that it allows the programmer to write directly to memory. This means that key constructs such as pointers, constants and strings can be used within the memory in an efficient and machine-independent fashion. This free online computer programming course covers topics such as using pointers for direct memory access and manipulation in C, changing the memory address contained within a pointer and introduces constants and string literals. You will learn why pointers contain memory addresses of multi-byte variables, and how to visualise RAM in a new way. This free online computer programming course will be of great interest to IT and software professionals who would like to learn more about this powerful and efficient programming language, and to all learners who would like to learn more about the kind of programming language that is used to develop operating systems.<br />

This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

讲授C++语言中和面向对象有关的概念和语法，如类和对象、运算符重载、继承和多态、类模板和算法模板、标准模板库等。目标是使得学生能够用C++语言，以面向对象的方法编写可维护性、可扩充性好的，较大规模的程序，初步领会面向对象程序设计方法的优势所在。

This course provides a brisk, challenging, and dynamic treatment of differential and integral calculus, with an emphasis on conceptual understanding and applications to the engineering, physical, and social sciences.

6.002 is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. At MIT, 6.002 is in the core of department subjects required for all undergraduates in EECS.

The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- and second-order networks; design in the time and frequency domains; and analog and digital circuits and applications. Design and lab exercises are also significant components of the course. 6.002 is worth 4 Engineering Design Points. The 6.002 content was created collaboratively by Profs. Anant Agarwal and Jeffrey H. Lang.

The course uses the required textbook Foundations of Analog and Digital Electronic Circuits. Agarwal, Anant, and Jeffrey H. Lang. San Mateo, CA: Morgan Kaufmann Publishers, Elsevier, July 2005. ISBN: 9781558607354.

Want to learn how your radio works? Wondering how to implement filters using resistors, inductors, and capacitors? Wondering what are some other applications of RLC and CMOS circuits? This free circuit course, taught by edX CEO and MIT Professor Anant Agarwal and MIT colleagues, is for you.

The third and final online Circuits and Electronics courses is taken by all MITElectrical Engineering and Computer Science (EECS) majors.

Topics covered include: dynamics of capacitor, inductor and resistor networks; design in the time and frequency domains; op-amps, and analog and digital circuits and applications. Design and lab exercises are also significant components of the course.

Weekly coursework includes interactive video sequences, readings from the textbook, homework, online laboratories, and optional tutorials. The course will also have a final exam.

This is a self-paced course, so there are no weekly deadlines. However, all assignments are due by June 15, 2019, when the course will close.

Student Testimonials

“Brilliant course! It's definitely the best introduction to electronics in Universe! Interesting material, clean explanations, well prepared quizzes, challenging homeworks and fun labs.” - Ilya.

“6.002x will be a classic in the field of online learning. It combines Prof. Agarwal's enthusiasm for electronics and education. The online circuit design program works very well. The material is difficult. I took the knowledge from the class and built an electronic cat feeder.” - Stan 

Learn how to use the cloud and write programs for data analytics.

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.