Learn R for Health Economic Evaluation from scratch

💻 Learn to build health economic models in R from scratch Our Introduction to R for Health Economic Evaluation short course is designed for those with no prior R programming experience who want practical, hands-on skills for model building. 📚 What’s included: * Comprehensive online coursebook * Recorded presentations for flexible learning * Quizzes, exercises & solution scripts * Live Q&A sessions to get your questions answered 🙂 Taught by an experienced team - Felicity Lamrock, Nichola Naylor, and myself. 🔗 Course page here: https://lnkd.in/e3JykPj7

🚀 Growing through Competitive Programmer’s Handbook I recently finished studying Competitive Programmer’s Handbook by Antti Laaksonen excellent resource that takes you from the foundations of time complexity, sorting, and data structures to advanced topics like graph theory, dynamic programming, number theory, and computational geometry . What I valued the most is realizing that competitive programming is not only about solving problems quickly, but about structured, analytical, and creative thinking to design efficient solutions. This book helped me strengthen my algorithmic and improve the way I approach technical challenges. I highly recommend it to anyone who wants to sharpen problem-solving skills, prepare for competitions such as ICPC/IOI, or simply enjoy the challenge of algorithms.

Lately I've been fascinated by the application of LLM agentic systems to solve hard Operations Research problems. I've also found that there's a competition called NL4Opt where a complete labeled dataset with Linear Programming Optimization problems was curated. I believe this should become a benchmark to test LLMs. It's the perfect balance between business interpretation, programming and math. This is a such an incredible niche to research about!!! https://lnkd.in/dhnNG6M3

Focus less on coding and more on these two subjects: Rajeev Chandrasekhar's advice to students - Trending News | The Financial Express https://lnkd.in/e9KqEU8u

Our latest blog kicks off FRG’s MATHS framework for coding best practices with the first step: Modularized. Learn how modular programming reduces model risk by making it easier to test, update, read, and reuse the code. 👉 Read more: http://bit.ly/47XdDJN #ModelRisk #RiskManagement #CodingBestPractices #FinancialServices

⏱️ 𝗧𝗶𝗺𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 – 𝗜𝗻 𝗢𝗻𝗲 𝗦𝗵𝗼𝘁! If you’re preparing for coding interviews, cracking DSA, or excelling in competitive programming, then mastering Time Complexity is absolutely essential. Yet, most learners focus only on formulas, without truly building the intuition behind them. 👉 𝗜𝗻 𝗼𝘂𝗿 𝗹𝗮𝘁𝗲𝘀𝘁 𝘃𝗶𝗱𝗲𝗼, 𝘄𝗲’𝘃𝗲 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝗱 𝗶𝘁 𝘀𝘁𝗲𝗽 𝗯𝘆 𝘀𝘁𝗲𝗽: • What Time Complexity really means (beyond Big-O notation) • How to analyze algorithms with clear intuition • Common pitfalls beginners face (and how to avoid them) • Industry-standard problem walkthroughs • A reusable framework to analyze any algorithm confidently 📽️ 𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝘃𝗶𝗱𝗲𝗼 𝗵𝗲𝗿𝗲: https://lnkd.in/d8pa4uQX

It is week 2 of the semester. This fall, our Operations Research courses has reached a new milestone: ✅ Introduction to Operations Research ✅ Integer Programming ✅ Network Optimisation All three courses have set new records in student enrollment! 🎉 Introduction to Operations Research is almost at 300 students, Integer Programming has gone beyond 275 students and Network Optimisation above 150 students. We’re thrilled to see such strong interest in Operations Research and students that are eager to tackle complex decision-making, optimisation, and real-world problem-solving. #ORMS #DTUMAN #StudentSuccess

Operational research (OR) courses are booming as the demand for professionals skilled in quantitative decision-making, analytics, and process optimization is rapidly rising across multiple industries.

Oliver Lovell’s ‘Cognitive Load Theory in Action’ was a practical guide that was clear and easy to understand. The recommendation of Cognitive Load Theory is in order to increase learning, reduce extraneous load and optimistic intrinsic load. The theory is discussed along with examples of strategies that can be used in the classroom such as: Snowballing: build on prior components each time. Emphasis manipulation: focus on just a few key portions. It was great to read this book after ‘Walk Thrus’ and Dual Coding.

📢 You can now navigate classrooms on Code with Beto entirely with keyboard shortcuts! ⌨️ Seamlessly mark lessons as watched, and you can even copy context about the lesson for LLMs. Because we know developers love speed, we’ve made it even easier for you to explore. 🔗 https://lnkd.in/gwnbmqdM