Mining Operation and Planning with Datamine OP

Looking to simulate welding in Abaqus the right way? Whether you’re a student, researcher, or professional engineer, this course will teach you how to perform advanced finite element welding simulations step by step—starting from a no-code setup and progressing to custom DFLUX subroutines.This is the most complete and structured Abaqus welding simulation masterclass available online. It covers the full workflow, from beginner-friendly heat source modeling to advanced thermal simulations using user subroutines.You’ll start with a clean, code-free model in Abaqus CAE, learning how to simulate a moving heat source without writing any FORTRAN or using complex inputs. Then, you’ll use the element reactivation technique to simulate the stepwise deposition of weld material, just like real welding sequences.After that, you’ll take your skills to the next level with two powerful DFLUX-based methods: Gaussian heat input – ideal for laser welding simulationsGoldak double ellipsoid – widely used in arc welding simulationsYou’ll implement and run these subroutines in Abaqus Standard, with full explanations of every line of code.Finally, the course shows you how to predict and visualize residual stresses after welding using a realistic thermal-mechanical setup. What’s Included:Full model setup in Abaqus CAESubroutine walkthroughs (Gaussian Goldak)Downloadable input files for each lessonClear explanations of FEA principles, heat transfer, and thermal boundary conditionsHigh-quality voice, visuals, and editing—no filler, no fluff You Will Learn

This course introduces machine learning covering the three main techniques used in industry: regression, classification, and clustering. It is designed to be self-contained, easy to approach, and fast to assimilate.You will learn:What machine learning isWhere machine learning is used in industryHow to recognize the technique you should useHow to solve regression problems to predict numerical quantitiesHow to solve classification problems to predict categorical quantitiesHow to use clustering to group your data and discover new insightsThe course is designed to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice. It includes labs with hands-on exercises and solutions.No software installation required. You can run the code on Google CoLab and get started right away.This course is the fastest way to get up to speed in machine learning and Scikit Learn. Why Machine Learning?Machine Learning has taken the world by a storm in the last 10 years, revolutionizing every company and empowering many applications we use every day.Here are some examples of where you can find machine learning today: recommender systems, image recognition, sentiment analysis, price prediction, machine translation, and many more!There are over 3000 job announcements requiring Scikit Learn in the United States alone, and almost 80000 jobs mentioning machine learning in the US. Machine Learning engineers can easily earn six figure salaries in major cities, and companies are investing Billions of dollars in developing their teams.Even if you already have a job, understanding how machine learning works will empower you to start new projects and get visibility in your company.Why Scikit Learn?It's the best Python library to learn machine learning

Hello Guys, This course will teach you about how you can interface push buttons with PIC16F877A microcontroller to make various projects like incrementing decrementing counters on 7-segment, controlling brightness of LEDs, triggering certain sequecnes on/off etc. Every lecture have its corresponding mikroC for PIC code in the description. Just copy paste that in your compiler. Some lectures have code files in the resources for you to download, just open .c file and copy the code in your compliler. You will learn about making the circuit. Every lecture have a presentation where I show you pin by pin how to do the wiring and setup the hardware.The 1st and 2nd section is introduction which teaches you how to setup the microcontroller for programming. And then 3rd section is the project based tutorials.Here is the outline:Introduction to PIC16F877A.Lecture 1: PIC16F877A a basic introduction.Lecture 2: Extracting useful data from the datasheet of PIC16F877A.Lecture 3: Pins and ports of PIC16F877A.Lecture 4: Setting up a PIC16F877A for programming.Download and install PICKIT 3 programmer tool and MikroC for PIC compiler.Lecture 5: Downloading and installing MikroC for PIC.Lecture 6: Downloading and installing PICKIT 3 programmer tool.Push button based projects with PIC16F877A.Lecture 7: PIC16F877A interface Push Button. Using MikroC for PIC coding.Lecture 8: PIC16F877A LED brightness control using push buttons tutorial.Lecture 9: PIC16F877A interface 4 digit 7 segment display. Increment and decrement countingLecture 10: Start and stop LED blinking using push buttons. PIC16F877A tutorial.Lecture 11: PIC16F877A based caller / receiver circuit using LEDs and push buttons.Lecture 12: PIC16F877A LED blinking with speed control using push buttons.Lecture 13: Start/stop LED

Nuclear energy may be one of the few industries experiencing greater optimism than ever in a world of energy uncertainty, climate change, and soaring energy prices.The nuclear sector has recently won a number of battles despite once being seen to be a dying energy source. In a world striving to cut emissions, nuclear is especially alluring due to the ticking clock of climate change and the need of zero-carbon emissions.Nuclear Power Engineering Principles is a comprehensive video course where you can learn all about the concept of nuclear power engineering that are essential in working in the industry.I have handcrafted this course to allow students to acquire core fundamental knowledge on nuclear power engineering as well as how to apply it in the energy industry.If you are currently a professional who are interested working in a Nuclear Power Company, you will find this course of great help to get the fundamental knowledge you need to kick start your professional career. If you just got a job in the nuclear energy industry and look for ways to get foundation knowledge, this course is designed for you to learn about the power engineering knowledge required in your career.As long as you have interest in a career in the nuclear industry , this course can help you to get an advantage at looking for work or giving you an edge over your competitors as it gives you core knowledge on various parts of a nuclear power plant. And knowledge is power.So let's get started! Let's start your fulfilling journey and mark an important point of your phenomenal career!

Are you passionate about AI and its potential to transform our world? Join our must-take course on Ethical AI Deployment and become a leader in developing and deploying AI systems that are not only innovative but also fair, transparent, and beneficial to society. ***Stick around for the Final Exam to test your knowledge***Why You Should Take This Course:Stay Ahead of the Curve:Ethical AI is at the forefront of technological advancement and regulatory focus. This course equips you with the knowledge to navigate and excel in this rapidly evolving field.Build Trust and Reputation:Learn how to develop AI systems that build trust with customers and stakeholders, ensuring your AI initiatives are respected and valued.Mitigate Risks:Understand how to identify and mitigate risks associated with AI, from bias and fairness to privacy and security, safeguarding your organization against potential pitfalls.Drive Innovation:Discover how ethical constraints can drive technological innovation, leading to cutting-edge solutions that are both effective and responsible.Comprehensive Frameworks:Gain practical insights into creating and implementing robust ethical AI frameworks, ensuring your AI projects adhere to the highest ethical standards.***Course Overview***Module 1: Introduction to Ethical AIEthical AI ensures AI systems are fair, transparent, and beneficial. It builds trust, ensures compliance, mitigates risks, promotes sustainability, and drives innovation.Module 2: Ethical Implications of Enterprise AIKey concerns in enterprise AI include bias, transparency, pr

Our world is made up of many climates and climate zones that have many climatic controls that determine the zone of which we live and interact. Have you ever wondered what makes up our climate zones? Why is my climate the way it is and how can a meteorologist or climatologist maintain and respect climate zones?Well, we are going to explore the 7 factors that make up a particular climate region: sunshine intensity, land and water ratio balance, ocean currents, prevailing winds, high pressure and low pressure locations, mountain barriers, and altitude. These 7 factors will be examined and explored as constants in influencing our climate zones.We will then look at the Koppen classification system of climates and study each region looking at both the micro climate and the macro climate present in each environment with respect to the latitudes of Earth where each climate is present. These climatic systems are most affected by the relative temperature and the amount of annual precipitation that each climate zone gets annually.The course will conclude with ways that we can take action to protect, preserve, and plan for the future generations to enjoy the climates that we live in the near future. Whether you live in a tropical savanna of Africa, the frozen permafrost of Siberia, or the wet tropics of the Amazon our climate is here to help you live your best life. Meteorology 401 Global Climates is the course for you if you aspire to be a competent scientist wanting to make a difference in not just your life but the life of others by taking care of our environment and climate one plant or shower at a time.