Software is quickly becoming integral part of human life as we see more and more automation and technical advancements. Just like we expect car to work all the time and can't afford to break or reboot unexpectedly, software industry needs to continue to learn better way to build software if it were to become integral part of human life. In this course, you will get an overview of how software teams work? What processes they use? What are some of the industry standard methodologies? What are pros and cons of each? You will learn enough to have meaningful conversation around software development processes. After completing this course, a learner will be able to 1) Apply core software engineering practices at conceptual level for a given problem. 2) Compare and contrast traditional, agile, and lean development methodologies at high level. These include Waterfall, Rational Unified Process, V model, Incremental, Spiral models and overview of agile mindset 3) Propose a methodology best suited for a given situation

Not all programs are created equal.  In this course, we'll focus on writing quality code that runs correctly and efficiently.  We'll design, code and validate our programs and learn how to compare programs that are addressing the same task.

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars. Similar problems also underpin much of our daily lives and are part of determining daily delivery routes for packages, making school timetables, and delivering power to our homes. Despite their fundamental importance, all of these problems are a nightmare to solve using traditional undergraduate computer science methods. This course is intended for students interested in tackling all facets of optimization applications. You will learn an entirely new way to think about solving these challenging problems by stating the problem in a state-of-the-art high level modeling language, and letting library constraint solving software do the rest. This will allow you to unlock the power of industrial solving technologies, which have been perfected over decades by hundreds of PhD researchers. With access to this advanced technology, problems that are considered inconceivable to solve before will suddenly become easy. Watch the course promotional video here: https://www.youtube.com/watch?v=hc3cBvtrem0&t=8s

Welcome to Lighting, Reflection, and Post-Processing Effects, the second course in the Unity Certified 3D Artist Specialization from Unity Technologies. The courses in this series will help you prepare for the Unity Certified 3D Artist exam, the professional certification for entry- to mid-level Unity artists. 3D artists are critical to the Unity development pipeline. They are a bridge between the programmers writing the application code and the designers or art directors who define the application’s aesthetics and style. In these courses, you will be challenged to complete realistic art implementation tasks in Unity that are aligned to the topics covered on the exam. In this second course, you will continue work on the Kitchen Configurator application - an app that lets users view a realistic rendering of a kitchen and swap out objects and materials to customize the design. The scene will really start to come to life as you add lighting effects including ambient lighting from a custom skybox, simulated sunlight, interior lights, and realistic reflections. Finally, you’ll use Unity’s Post-Processing Stack to add even more polish to the rendered scene. By the end of the course, you’ll have a scene ready for the next stage: adding interactions through scripts. This is an intermediate course, intended for people who are ready for their first paying roles as Unity 3D artists, or enthusiasts who would like to verify their skills against a professional standard. To succeed, you should have at least 1-2 years of experience implementing 3D art in Unity. You should be proficient at importing assets into Unity from Digital Content Creation (DCC) tools, prototyping scenes, working with lighting, and adding particles and effects. You should also have a basic understanding of 2D asset management, animation, and working with scripts. You should have experience in the full product development lifecycle, and understand multi-platform development, including for XR (AR and VR) platforms.

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications. The course is based on open software and content. The demonstrations and programming exercises are done using Python under Ubuntu, and the references and materials for the course come from open online repositories. We are also distributing with open licenses the software and materials developed for the course.

Whether you are a software developer, architect, project manager or just someone who codes for fun; knowing what to write is just as hard as knowing how to write it. ' Software requirements gathering ' is the process of capturing the objectives, goals and wishes of the customer upfront and early-on in the Software Development Life Cycle (SDLC). This course is accompanied by several templates and document files, that you can use as a guideline during your next requirements gathering project. There is a feasibility study template, a software specification template, a terminology guide and a couple more. This course will get you ' asking the right questions ' early in the process, saving you time, money and effort. You will learn how to ' manage the requirements process ' from start to finish. How to differentiate between ' Functional and Non-functional requirements '. How to ' capture and record requirements '. Plus, you will get an insight to how one system is used throughout an organization. This course will guide you through the entire range of ' Scoping Documents ', ' Technical Specifications ', ' Feasibility Studies ' and ' Requirements Gathering '. Your time is precious and that matters to me, this course has been arranged into small lectures that you can consume when you have a spare few minutes. They follow-on from each other, making the entire course watchable in one sitting. you can be sure that the project you embark on is the same as the project you deliver. On time and on budget. Capturing Software Requirements, Meeting Deliverables, Exceeding Expectations and Documenting the whole process can take years to learn, this stuff is not taught in colleges, it is learned in the trenches. So save yourself time, get the insider information on the topics that matter. By the end of the course, you will have amassed a large number of key takeaways and several useful template files that together will take your software development skills to the next level. This course is for life, meaning you can learn whenever you have the time. You have access to the discussions area, where I will personally answer any questions you have on this course. This course is also backed by a 30 day money back guarantee. If you need a deeper understanding of the software development life cycle. Are about to begin work on a new software project or embark on a prospective customer collaboration? this course will guide you through the process. I look forwards to seeing you on the inside. Kind Regards, Robin.

This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.

This course provides an introduction to programming and the Python language. Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions. This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly. It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files. This course may be more robust than some other introductory python courses, as it delves deeper into certain essential programming topics.

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.