ChatGPT & Bard: Improve Your English Skills with AI

Prepare for the INCOSE ASEP (Associate Systems Engineering Professional) certification with our targeted practice test course. This course offers a series of in-depth practice exams designed to thoroughly cover the content of the INCOSE Systems Engineering Handbook, 5th Edition.The INCOSE ASEP (Associate Systems Engineering Professional) is a certification offered by the International Council on Systems Engineering (INCOSE). This certification is designed for individuals who are in to the field of systems engineering and want to demonstrate their understanding of fundamental systems engineering principles and practices.You will have the opportunity to:Test Your Knowledge: Engage with a wide range of practice questions that reflect the structure and content of the ASEP exam.Identify Key Areas for Improvement: Analyze detailed answer explanations to pinpoint strengths and areas needing further review.Build Exam Confidence: Develop effective test-taking strategies and enhance confidence through repeated practice and self-assessment.Ideal for those seeking to validate their systems engineering skills and advance your professional credentials, this test will provide the insights needed to succeed on the ASEP certification exam.Enroll today and advance toward becoming an Associate or Certified Systems Engineering Professional!We will keep updating new questions to this practice test collection.We personally recommend purchasing the INCOSE handbook, as it provides comprehensive and valuable insights into systems engineering. Visit INCOSE store for more information.Thank you!

This course contains the use of artificial intelligence.Engineering careers stall not because the math is wrong, but because the message is unclear. Across every industry, projects slip, budgets balloon, and safety findings emerge from documents that left too much room for interpretation, presentations that buried the headline, and emails that never produced action. This course treats technical communication as a core engineering skill, not a soft add-on, and gives you a repeatable system for explaining complex work to the very different audiences that decide your projects and your career.You will start by mapping the engineering communication landscape, including who engineers actually write for, how the curse of knowledge sabotages experts, and how layered documents can serve executives, managers, and engineers at once. From there you move into technical report writing with IMRAD and its variants, executive summaries that earn the rest of the document a real read, and conclusions that answer the question that was asked. You will then tackle specifications and requirements, including unambiguous wording, the disciplined use of shall, should, and may, traceability, and the common defects that wreck programs. Proposal writing is covered in depth, from reading evaluation criteria and building compliance matrices to telling a clear solution story and separating technical from management approach.The course also dives into visual communication, where you will learn to choose the right chart type, design tables that respect readers, annotate diagrams so the eye lands on the right detail, and integrate visuals with surrounding prose. Presentation skills are addressed for engineers specifically, including structuring talks to fit tight time limits, flexing depth across audiences, handling tough Q and A, and delivering bad news or uncertainty without panic or vagueness. Finally, you will sharpen everyday tools such as technical emails that get action, meeting minutes and decision records that prot

Bioinformatics is entering a new era, one where artificial intelligence is not just a supporting tool, but a core component of how research is conducted. From analyzing high-throughput sequencing data to designing computational pipelines, the ability to effectively interact with AI systems is becoming an essential skill for modern scientists.This course is designed to help you master AI prompt engineering specifically for bioinformatics applications. Rather than teaching generic AI concepts, it focuses on how you can use AI tools strategically to solve real biological problems, automate repetitive tasks, and significantly improve your research efficiency.You will learn how to communicate with AI models in a structured and intelligent way, turning vague questions into precise prompts that generate accurate, useful, and reproducible results. This is a skill that can dramatically reduce the time you spend troubleshooting code, searching for solutions, or interpreting complex datasets.This course emphasizes real-world applications. Instead of focusing on theory alone, you will work through practical examples that reflect the types of challenges encountered in actual research environments. You will see how AI can assist in everything from data preprocessing to result interpretation and scientific writing.You will also learn how to think critically about AI-generated outputs, understanding their limitations, identifying potential errors, and refining prompts to achieve better results. This ensures that you remain in control of your analysis while using AI as a powerful assistant rather than a replacement.The demand for professionals who can combine domain knowledge with AI capabilities is rapidly increasing. By learning prompt engineering in a bioinformatics context, you position yourself at the intersection of two highly valuable fields.This course will not only improve your technical skills but also enhance your problem-solving approach, allowing you to wo

This comprehensive course is designed to take you from fundamental heat transfer principles to advanced thermal and buoyancy-driven flow simulations in OpenFOAM. Through carefully structured, hands-on lectures, you will learn to model and solve a wide range of thermal problems, covering conduction, convection, radiation, and conjugate heat transfer (CHT) across both fluid and solid regions.The course begins with foundational concepts such as heat conduction using the laplacianFoam solver, introducing the governing equations, boundary conditions, and diffusion properties. From there, you will progress to buoyancy-driven flows, learning to simulate temperature-induced density variations in incompressible fluids using the Boussinesq approximation, and eventually tackling fully compressible buoyant flows with buoyantPimpleFoam.You will gain in-depth knowledge of:Setting up multi-region meshes and defining solid and fluid regions for CHT simulations.Configuring boundary conditions, solver parameters, and thermophysical properties for both incompressible and compressible solvers.Incorporating radiation effects using the finite volume discrete ordinates method (fvDOM) and gray diffusive boundary conditions.Implementing source terms such as heat fluxes, pressure gradients, and custom energy inputs using FVOptions.Improving solution accuracy by selecting appropriate discretization schemes (fvSchemes) and understanding their impact on pressure, velocity, and temperature fields.Applying the Finite Area (FA) method to efficiently model thin surfaces and thermal shells without excessive meshing.Visualizing, analyzing, and interpreting simulation results including temperature gradients, vortex shedding, and radiation effects using OpenFOAM-compatible

Welcome to the future of teaching!Here are a few quick truths about education today: Teachers are overworked, burnt out and quitting the profession like never beforeArtificial Intelligence such as ChatGPT has well and truly shaken the education worldTeachers are concerned yet intrigued by this new technology! So, do we as teachers fear and reject AI? Or learn to embrace it? Is it the solution to the workload discrepancy? My hope is that this course gives you the knowledge, skills and understanding to make that decision for yourself!Hello and welcome to his introductory online course is specifically designed for teachers who have little to no experience with artificial intelligence and want to learn how to access, use and master ChatGPT to create BETTER teaching resources in LESS time. Throughout the course, we'll be following the 3 P's framework: Plan, Prompt, Produce. ChatGPT is a minefield for the inexperienced and a goldmine for those willing to learn!In the planning phase, you'll learn how to plan for success from the start with 4 tips: role, goal, restrictions and format. In the prompting phase, you'll learn how ChatGPT to start prompts and refine your final product until you are happy. This is where the fun begins and the magic happens!In the producing phase, you'll learn how to use ChatGPT to create useable resources for print or digital use with your favourite tools such as Microsoft Word, Canva, Google Docs and more!Once you've mastered the basics, you'll learn how to create more specific resources such as:Unit plansPowerPointsLesson plansAssessmentsRubric

Basic course informationThe course is designed to familiarize the student with the basic issues of descriptive statistics. Such concepts as quantitative and qualitative data, parameter, measures of position or dispersion, types of distributions and outlier observations will be introduced. The listener will also learn what correlation relationships are and what measures of correlation we distinguish.Who is this course designed for?The course is designed for anyone who wants to refresh information regarding basic statistical issues or is just delving into the topic of statistical analysis.What will you learn?In this course, you will learn what types of data are distinguished in a statistical context, what measures are used to represent basic descriptive characteristics, what are the most common types of distributions, to what attention should be paid, and how to detect and deal with outliers. In addition, you will also learn about correlation measures and their application in practice.About usThe course is conducted by Aneta Piechaczek, PhD. Statistician and econometrician. In the years 2017-2021, an employee of the Laboratory of Applications of Mathematics in Economics AGH UST. PhD in the field of Management and Quality Science, developing in her dissertation the issues of more advanced statistical analyses in socio-economic sciences. In 2021, she was nominated for the Didactics Laurel of AGH university. Author and co-author of several scientific publications related to data analysis and statistics. Statistician of the BioStat Research and Development Center.BioStat Research and Development Center is among the commercial scientific institutions with the status of a Research and Development Center (Centrum Badawczo-Rozwojowe, CBR) registered by the Ministry of Entrepreneurship and Technology.