Courses tagged with "Evaluation" (733)

Today, computer graphics is a central part of our lives, in movies, games, computer-aided design, virtual reality, virtual simulators, visualization and even imaging products and cameras. This course, part of the Virtual Reality (VR) Professional Certificate program, teaches the basics of computer graphics that apply to all of these domains.

Students will learn to create computer-generated images of 3D scenes, including flybys of objects, make a real-time scene viewer, and create very realistic images with raytracing. We will start with a simple example of viewing a teapot from anywhere in space, understanding the basic mathematics of virtual camera placement. Next, you will learn how to use real-time graphics programming languages like OpenGL and GLSL to create your own scene viewer, enabling you to fly around and manipulate 3D scenes. Finally, we will teach you to create highly realistic images with reflections and shadows using raytracing.

This course runs for 6 weeks and consists of four segments. Each segment includes an individual programming assignment:

1. Overview and Basic Math (Homework 0: 10% of grade)
2. Transformations (Homework 1: 20% of grade)
3. OpenGL and Lighting (Homework 2: 35% of grade)
4. Raytracing (Homework 3: 35% of grade)

This term, students who earn a total score of 50% or greater will have passed the course and may obtain a certificate from UC San DiegoX.

The Internet is a computer network that millions of people use every day. Understand the design strategies used to solve computer networking problems while you learn how the Internet works.

The Internet has become integral to our daily lives. Despite its importance to users, most have only a general idea of how it works. If you’re eager to learn more about the Internet and computer networks in general, this course is for you! This course was created in collaboration with the Lübeck University of Applied Sciences with support from the German Federal Ministry of Education and Research (BMBF).

In this course, you will learn about technologies that you use at home like Wireless LAN. We will also illustrate how the Internet works on a global scale and investigate the role of major protocols; in particular the Internet Protocol (version 4 and version 6) and its helper protocols (e.g., ICMP, ARP, DHCP).

You’ll learn how the protocols TCP and UDP are used to realize applications. Out of the many applications that the Internet has, the Hypertext Transfer Protocol is focused on as the lead example since it is the main protocol for the Web.

Key tools will be introduced and used, including the network protocol analyzer Wireshark, the network emulators eNSP and WANem, command line tools ping and traceroute, Firefox browser Add-Ons like IPvFox, and many test web pages.

This course uses videos and texts to provide an overarching foundation, augmented with practical exercises so that you can experiment and explore on your own.

A portion of the profit from verified certificates in this course will go toward Kiron Open Higher Education. Kiron enables access to higher education and successful learning for refugees through digital solutions.

Lecture Series on Computer Architecture by Prof. Anshul Kumar, Department of Computer Science & Engineering ,IIT Del

Lecture Series on Computer Networks by Prof. S.Ghosh,Department of Computer Science & Engineering, I.I.T.,Kharagpur.

Lectures by Prof. Kamala Krithivasan,rnDepartment of Computer Science and Engineering,rnIIT Madras

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.

In this computer science course, you will learn advanced concepts underpinning the design of today’s multicore-based computers. Additionally, you will learn how design decisions affect energy efficiency and performance.

Overall, topics include fundamentals on exploiting parallelism among instructions such as out-of-order execution, branch prediction, exception handling and advanced concepts of memory systems including prefetching and cache coherency. These concepts are fundamental for future computer systems to maximize compute efficiency.

You will also engage with a community of learners with similar interests to share knowledge.

The course is derived from Chalmers’s advanced graduate course in computer architecture. Prospective students should have a foundation in basic computer design, as offered by, for example, in “Computer System Design - Improving Energy Efficiency and Performance.“

In order to be competitive in the computer science field, it’s imperative to understand the basic building blocks of a modern computer and how they directly impact the speed and efficiency of a program. Whether you work with embedded systems, mobile computer-based systems, or cloud systems, performance and energy efficiency are key drivers of usability and competitiveness of computerized products.

In this course, you will learn how to design modern multicore-based computers, and how the design choices you make affect performance and energy consumption. You will explore design principles governing modern microprocessors, such as pipelining and cache memories, as well as methods for determining the impact of your design on execution time and energy efficiency.

These skills can make a difference for practicing engineers for the purpose of building highly competitive products. Take, for instance, a smartphone with limited battery capacity. By adding value to end users through new or improved functionality, this can lead to significantly shorter operation time between battery charges, thus utilizing the already limited resources of a smartphone far more efficiently.

With this skillset, you can become an expert in computer system performance and energy efficiency - knowledge that is in high demand when designing computerized embedded products. With trends towards IoT (Internet of Things), autonomous systems and mobile computers, such a skillset will be critical in a career in systems engineering.

This course is derived from a Chalmers senior undergraduate course in computer system design. It assumes basic knowledge in computer organization.

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.

The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data.

The goal of this course, part of the Analytics: Essential Tools and Methods MicroMasters program, is for you to learn how to build these components and connect them using modern tools and techniques.

In the course, you’ll see how computing and mathematics come together. For instance, “under the hood” of modern data analysis lies  numerical linear algebra, numerical optimization, and elementary data processing algorithms and data structures. Together, they form the foundations of numerical and data-intensive computing.

The hands-on component of this course will develop your proficiency with modern analytical tools. You will learn how to mash up Python, R, and SQL through Jupyter notebooks, among other tools. Furthermore, you will apply these tools to a variety of real-world datasets, thereby strengthening your ability to translate principles into practice.

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

Computing is a science. It’s an art, at least for those who practice it well, and it still retains much of its magic.

Part 1 of this course introduced the fundamental concepts, preparing you for the more advanced topics covered in this course!

Throughout this course, you will learn programming concepts and techniques, and practice them immediately through advanced browser-based tools that let you write programs, compile, run  and test them against predefined test sets. You will see your results right away in your browser!

In this Part 2, we will discuss:

• A major programming technique, inheritance, including Multiple inheritance: combining complementary abstractions
• Selective exports for solid modular design of large systems
• Functional programming with agents: going one level of abstraction higher or more
• Concurrency: how to build applications that, so to speak, walk and chew gum at the same time
• Design patterns: how you can benefit from the best architectural practices of the industry, ironed out over many decades
• What makes a loop do its job right, with the notion of loop invariant
• Important practical examples: how to write an interactive application with undo-redo, and the example of topological sort
• Software engineering-- the construction not just of individual programs but also of complex, ambitious software systems

Join us in this computing and programming course to better understand the power and beauty of modern computer programming.

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.

In this computer science course, we will discuss the discipline of Master Data Management (MDM) and how to deliver and manage MDM solutions with SQL Server 2016 Master Data Services (MDS).

The course has been written specifically for data professionals. You will learn about common MDM scenarios, and how MDS solutions can be designed, developed, secured and managed.

Developing a database can include the creation of programmatic database objects. These objects encapsulate different types of functionality inside your database. In this computer science course, you'll learn about the types of programmatic database objects, how to create stored procedures, triggers, user-defined functions, and advanced topics including implementing managed code, and using the R programming language.

This course is part of the Microsoft SQL Database Development XSeries.