Courses tagged with "Evaluation" (161)

CS101 teaches the essential ideas of Computer Science for a zero-prior-experience audience. The course uses small coding experiments in the browser to play with the nature of computers, understanding their strengths and limitations. Sign up for the "To be announced" session to be notified by email when the class is next run, and sign up for "Self-Study" to start browsing the class materials right away. Self-Study mode makes all the videos and assignments available to be done at your own pace, but without a certificate of completion at the end.

The CS 61 series is an introduction to computer science, with particular emphasis on software and on machines from a pro

Learn how to design secure systems and write secure code.

This course delivers a systematic overview of computer vision, emphasizing two key issues in modeling vision: space and meaning. We will study the fundamental theories and important algorithms of computer vision together, starting from the analysis of 2D images, and culminating in the holistic understanding of a 3D scene.

In this course, we will study the concepts and algorithms behind some of the remarkable successes of computer vision - capabilities such as face detection, handwritten digit recognition, reconstructing three-dimensional models of cities and more.

Information Technology (IT) is everywhere. Every aspect of human activity depends on it. All IT processes, whether they drive mobile phones, the Internet, transportation systems, enterprise systems, publishing, social networks or any other application, rely on software.

In this new and improved version of the course, you will learn to write software with a progressive hint system for first time programmers. The core skill is programming; not just the ability to piece together a few “lines of code,” but writing quality programs, which will do their job right, and meet the evolving needs of their users. Anyone can write a program; this course teaches you to write good programs.

The course starts from the basics of computing and takes you through a tour of modern object-oriented programming, including classes, objects, control structures, inheritance, polymorphism, and genericity.

Throughout the course, you will have the opportunity to learn the principles of programming as well as the techniques for designing correct and reliable programs by using the Eiffel programming language and notation. You will be trying out example problems to provide your solution, and see it immediately compiled and tested from within your browser. To this end, we are using the Codeboard;web-based IDE, developed at the Chair of Software Engineering (ETH Zurich). 

Beyond programming, you will also get a glimpse at theoretical computer science, the set of mathematical techniques that underlie computation and makes today’s IT-based world possible.

In this third edition of the course we specifically focus on helping students with little or no programming experience. To this end, we have improved the introductory material about the Eiffel language, and we have implemented a progressive hint system students can use to get guidance on how to solve the programming exercises.

"Really good course. Followed it with a couple of experienced colleagues all of them having a computer science background. They really liked the concepts and programming in Eiffel a lot. Many thanks to the team making this course available! Can not wait to start with the advanced course!" --Previous CAMSx Participant

Previous edition course evaluation:

Overall course rating (1: worst grade, 6: best grade):

Grade Resp.   %Resp
1          1          2%
2          0          2%
3          3          6%
4          9        18%
5          20       40%
6          17       34%

Total respondents: 50
Average: 4.96

Modéliser un problème, concevoir un algorithme de résolution et en proposer une implémentation correcte. Du problème à sa solution, ce cours combine approches pragmatique, pratique et théorique de l'informatique.

Learn about how to make mobile robots move in effective, safe, predictable, and collaborative ways using modern control theory.

For anyone who would like to apply their technical skills to creative work ranging from video games to art installations to interactive music, and also for artists who would like to use programming in their artistic practice.

In this course, you will learn the fundamental computer science principles that power today’s apps. You will also create your own Android app using Java and standard software development tools.

This course will introduce you to the foundations of modern cryptography, with an eye toward practical applications.

Learn about the inner workings of cryptographic primitives and how to apply this knowledge in real-world applications!

Learn about the inner workings of cryptographic primitives and protocols and how to apply this knowledge in real-world applications.

Looking to get started with computer science while learning to program in Python?

This computer science  course provides an introduction to computer science that’s both challenging and fun. It takes a broad look at the field of computer science through a variety of demonstrations and projects. We’ll cover both low- and high-level concepts, from how the circuits inside a computer represent data to how to design algorithms, as well as how all of this information affects the technology we use today. Additionally, we’ll teach the basics of Python programming, giving us a a way to put our new CS knowledge into practice.

No need to know any programming before starting the course; we’ll teach everything you need to know along the way. All you need to start is a good grasp of algebra, and you can fall in love with both the concepts and the practice of computer science.

This course will introduce you to the field of computer science and the fundamentals of computer programming. Introduction to Computer Science I is specifically designed for students with no prior programming experience, and taking this course does not require a background in Computer Science. This course will touch upon a variety of fundamental topics within the field of Computer Science and will use Java, a high-level, portable, and well-constructed computer programming language developed by Sun Microsystems (now Oracle), to demonstrate those principles. We will begin with an overview of the course topics as well as a brief history of software development. We will cover basic object-oriented programming terminology and concepts such as objects, classes, inheritance, and polymorphism, as well as the fundamentals of Java, its primitive data types, relational operators, control statements, exception handling, and file input /output. By the end of the course, you should have a strong understanding of the fundam…

This course is a continuation of the first-semester course titled CS101: Introduction to Computer Science I [1]. It will introduce you to a number of more advanced Computer Science topics, laying a strong foundation for future academic study in the discipline. We will begin with a comparison between Java - the programming language utilized last semester - and C++, another popular, industry-standard programming language. We will then discuss the fundamental building blocks of Object-Oriented Programming, reviewing what we learned last semester and familiarizing ourselves 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, you 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. [1] http://www.saylor.

In the first unit, we will learn the mechanics of editing and compiling a simple program written in C++.  We will begin with a discussion of the essential elements of C++ programming: variables, loops, expressions, functions, and string class.  Next, we will cover the basics of object-oriented programming: classes, inheritance, templates, exceptions, and file manipulation.  We will then review function and class templates and the classes that perform output and input of characters to/from files.  This course will also cover the topics of namespaces, exception handling, and preprocessor directives.  In the last part of the course, we will learn some slightly more sophisticated programming techniques that deal with data structures such as linked lists and binary trees. This course contains a number of sample programs and review exercises.  Through these exercises, students should better learn how to write functions, use the string class, and write elementary data structures such as linked lists and bina…

When we use programming for problem-solving purposes, data must be stored in certain forms, or Data Structures, so that operations on that data will yield a specific type of output.  Imagine, for example, that a non-profit is having trouble staying afloat and needs an increase in donation.  It decides it wants to keep track of its donors in a program in order to figure out who is contributing and why.  You would first need to define the properties that would define those donors: name, address, amount donated, date of donation, and so on.  Then, when the non-profit wants to determine how to best reach out to their donors, it can create a model of the average donor that contributes to the non-profitsay, for example, based on size of gift and locationso that it can better determine who is most receptive to its mission.  In this case, size of gift and location are the “data” of the donor model.  If the non-profit were to use this model, it would be identifying real donors by first generating an abstract…

Software engineering is a discipline that allows us to apply engineering and computer science concepts in the development and maintenance of reliable, usable, and dependable software. The concept of software engineering was first discussed at the 1968 NATO Science Committee in Germany. Today, many practitioners still debate over the term software engineering, often arguing that this discipline does not meet the criteria of engineering; rather, it should be called software development. There are several areas to focus on within software engineering, such as design, development, testing, maintenance, and management. Software development outside of the classroom is a very complex process, mostly because real-world software is much larger and more complex. The purpose of this course is to present software engineering as a body of knowledge. The course is designed to present software engineering concepts and principles in parallel with the software development life cycle. The course will begin with an introducti…

This course focuses on the fundamentals of computer algorithms, emphasizing methods useful in practice.  We look into the algorithm analysis as a way to understand behavior of computer programs as a function of its input size.  Using the big-O notation, we classify algorithms by their efficiency.  We look into basic algorithm strategies and approaches to problem solving.  Some of these approaches include the divide and conquer method, dynamic programming, and greedy programming paradigms.  Sorting and searching algorithms are discussed in detail as they form part of a solution to a large number of problems solved using computers.  We also provide an introduction to the graph theory and graph algorithms as they are also used in many computer-based applications today.  We conclude the course with a look into a special class of problems called the NP-complete problems.