Courses tagged with "Nutrition" (421)
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. Interest in information security has been spurred by the pervasive use of computer-based applications such as information systems, databases, and the Internet. Information security has also emerged as a national goal in the United States and in other countries with national defense and homeland security implications. Information security is enabled through securing data, computers, and networks. In this course, we will look into such topics as fundamentals of information security, computer security technology and principles, access control mechanisms, cryptography algorithms, software security, physical security, and security management and risk assessment. By the end of this course, you will be able to describe major information security issues and trends, and advise an individual seeking to protect his or her dat…
User dependency on the Internet increases every day; nowadays, everyday tasks like paying bills, communicating with others, and applying for jobs are all routinely carried out via the Internet. While the Internet represents a huge network, it is meaningless without the applications that it supports. These applications enable user interaction and facilitate everyday activities. In this course, we will learn about the design and implementation of network-based applications, focusing on Object-Oriented Programming and programming techniques both at the application layer and the transport layer of the TCP/IP protocol stack. Additional concepts covered include text transport (moving text from one computer to another over the network), data transport, object transport, remote function calls, and, finally, class transport. You will approach these concepts from an Object-Oriented point of view, learning to implement design patterns in your code in order to ensure software reusability (a highly desirable fea…
This course will present advanced topics in Artificial Intelligence (AI). We will begin by defining the term “software agent” and discussing how software agents differ from programs in general. We will then take a look at those problems in the field of AI that tend to receive the most attention. Different researchers approach these problems differently. In this course, we will focus on how to build and search graph data structures needed to create software agents, an approach that you will find useful for solving many problems in AI. We will also learn to “break down” larger problems into a number of more specific, manageable sub-problems. In the latter portion of this course, we will review the study of logic and conceptualize the differences between propositional logic, first-order logic, fuzzy logic, and default logic. After learning about statistical tools commonly used in AI and about the basic symbol system used to represent knowledge, we will focus on artificial neural network and…
Cryptography is essentially the science of writing in secret code. In data and telecommunications, cryptography has specific security requirements, such as authentication, privacy or confidentiality, integrity, and non-repudiation. To meet these security requirements, we employ secret key (or symmetric) cryptography, public-key (or asymmetric) cryptography, and hash functions. In the first part of the course, we will review a number of different ciphers that were used before World War II. These ciphers would be easily broken nowadays, since cryptography has advanced quickly over the past couple of decades with the advent of modern computers. We will cover block cipher algorithms and describe the advanced encryption standard for a symmetric-key encryption adopted by the U.S. government. We will also learn about the important MD5 and SHA-1 hash functions as well as the message authentication code. This course will focus on public key cryptography, which is best exemplified by the RSA algorithm (na…
While CS403: Introduction to Modern Database Systems [1] covered many of the core concepts behind database management systems, there are many other considerations that should be addressed if you intend to pursue a career in this field. This course will expand upon what you learned about SQL in CS403 and introduce various other advanced topics, including query optimization, concurrency, data warehouses, object-oriented extensions, and XML. While CS403 introduced the basics of database management systems, the additional topics covered in this course will help you become more proficient in writing queries and will expand your knowledge base so that you have a better understanding of the field. By the end of this course, you should have a solid grasp on data warehouses and XML, which will prove to be invaluable as you progress further in your Computer Science studies. [1] http://www.saylor.org/courses/cs403/…
Technology continues to evolve and provide us with increasingly powerful mobile devices. As a result, applications that can run on a browser must also be written such that they are compatible with mobile devices, the majority of which are now web-enabled. Meanwhile, there is an increasing demand for native applications that can be downloaded to and run on mobile devices. This course will address these trends, teaching you to think about the unique design and deployment issues that must be taken into consideration when developing applications for mobile devices. This course will expand upon what has been covered in CS305: Web Development [1]. We will specifically look at the tools used to design mobile applications. We will learn about mobile platforms, mobile browsers, native applications, and best practices in terms of test usability. [1] http://www.saylor.org/courses/cs305/…
This course provides students with a comprehensive introduction to computers. Students will explore a variety of topics in computing, such as the following: the components of a computer, common computer terminology, an introduction to the Internet, computer security and privacy, computer troubleshooting techniques, and steps to maintain the life of your computer. Through readings and videos, students will learn how to fully understand the basics of computer technology.
This course is designed for the novice who has little or no word processing experience. The course provides an introduction to word processing. You will explore word processing skills while also learning to create a basic business letter and a business memo. Although the resources in this course use Microsoft Word 2010, it should be noted that all of the basic skills and tasks that you will be asked can be done on any word processing program. If you stay flexible enough in your own word processing program to search out the commands and icons on whatever software you are using, you will succeed. The most current version of Microsoft Word was selected, because it would be most beneficial to the job seeker. In addition most colleges, universities, and some public libraries are using a newer version of Word. You can complete this course using any word processing software, but if you are using an older version of Word, you may also want to seek out a resource where you can interact with the newer v…
This course will provide you with a comprehensive introduction to spreadsheets. The course is designed for first-time users with very little or no exposure to the subject. For this course, you will use Microsoft Excel as the software. The course will explore the following fundamental topics: an introduction to spreadsheets, terminology in Excel, components of a spreadsheet, what a cell consists of, and the creation of a spreadsheet for practical use. You will examine sample files, videos, and books that will enable you to gain practical knowledge about spreadsheets that can be used in daily life, either at work, school, or home.
Learn about the most effective data analysis methods to solve problems and achieve insight.
The Coursera course, Data Analysis and Statistical Inference has been revised and is now offered as part of Coursera Specialization “Statistics with R”. This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.
6.263J / 16.37J focuses on the fundamentals of data communication networks. One goal is to give some insight into the rationale of why networks are structured the way they are today and to understand the issues facing the designers of next-generation data networks. Much of the course focuses on network algorithms and their performance. Students are expected to have a strong mathematical background and an understanding of probability theory. Topics discussed include: layered network architecture, Link Layer protocols, high-speed packet switching, queueing theory, Local Area Networks, and Wide Area Networking issues, including routing and flow control.
Learn critical concepts and practical methods to support research data planning, collection, storage and dissemination.
Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence.
This course will examine methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an applications perspective. We will survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to- use software and cases.
Data structures play a central role in computer science and are the cornerstones of efficient algorithms. Knowledge in this area has been at the kernel of related curriculums. This course aims at exploring the principles and methods in the design and implementation of various data structures and providing students with main tools and skills for algorithm design and performance analysis. Topics covered by this course range from fundamental data structures to recent research results.
数据结构是计算机科学的关键内容，也是构建高效算法的必要基础。其覆盖的知识，在相关专业的课程体系中始终处于核心位置。本课程旨在围绕各类数据结构的设计与实现，揭示其中的规律原理与方法技巧；同时针对算法设计及其性能分析，使学生了解并掌握主要的套路与手法。讲授的主题从基础的数据结构，一直延伸至新近的研究成果。
This course is presented in Mandarin.
FAQ
In what language will this course be offered?
Mandarin.
Will the text of the lectures be available?
Yes. All of our lectures will have transcripts synced to the videos.
Do I need to watch the lectures live?
No. You can watch the lectures at your leisure.
Will certificates be awarded?
Yes. Online learners who achieve a passing grade in a course can earn a certificate of mastery. These certificates will indicate you have successfully completed the course, but will not include a specific grade. Certificates will be issued by edX under the name of DelftX, designating the institution from which the course originated.
Can I contact the Instructor or Teaching Assistants?
Yes, but not directly. The discussion forums are the appropriate venue for questions about the course. The instructors will monitor the discussion forums and try to respond to the most important questions; in many cases response from other students and peers will be adequate and faster.
Is this course related to a campus course at Tsinghua?
Yes. This course corresponds to the campus courses 00240074 (elective for undergraduates of all majors) and 30240184 (required for CS undergraduates), both named Data Structures.
What is the textbook of the course?
Junhui DENG, Data Structures in C++, Sep. 2013, 3rd edn., Tsinghua University Press, ISBN: 7-302-33064-6. (in Chinese)
What is the grading breakdown?
60% - 12 problem sets
40% - 4 programming assignments
This course is a hands-on introduction to statistical data analysis that emphasises fundamental concepts and practical skills.
Learn how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication. Explore elements of computer graphics, human-computer interaction, perceptual psychology, and design in addition to data processing and computation.
This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions. It is designed for students who have taken 6.033 (or equivalent); no prior database experience is assumed, though students who have taken an undergraduate course in databases are encouraged to attend.
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