"New paper on student debugging behavior and personalized fixes"

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

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

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

🚀 Mastering Data Structures & Algorithms (DSA) – Your Roadmap to Coding Excellence 🚀Whether you’re preparing for coding interviews, competitive programming, or building efficient software, DSA is the ultimate skill to sharpen your problem-solving mindset. 👉This roadmap covers it all: ✅ Programming Fundamentals ✅ Basic → Advanced Data Structures ✅ Sorting & Search Algorithms ✅ Graphs & Trees ✅ Problem-Solving Techniques ✅ Platforms to Practice (LeetCode, Edabit & more) 💡 Remember: DSA is not just about solving problems — it’s about learning how to think!

🚀 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.

🚀 What’s New in the Market: Next-Gen Shortest Path Algorithm Back in my college days, implementing Dijkstra’s Algorithm during coding rounds felt like a mountain to climb. I remember failing at it multiple times in placements — debugging heaps, priority queues, and edge relaxations late into the night. It was considered one of the best approaches for shortest paths for decades. But now comes something even more challenging — Tsinghua University’s TegusTran Algorithm, with a runtime of O(E log log V). 🔹 Dijkstra → Familiar, O((V+E) log V) 🔹 TegusTran → Complex beast, O(E log log V) While Dijkstra tested us in college, TegusTran raises the bar for the future. 💡 For anyone who thought Dijkstra was hard — the game has just leveled up. #Algorithms #DataStructures #CompetitiveProgramming #ProblemSolving #GraphTheory #ComputerScience #ProgrammingCommunity #TechInnovation #LearningNeverStops #CodingLife #FutureOfTech #EngineeringJourney #Placements #SoftwareEngineering

Day-01 of Learning Context Engineering - Learned the fundamentals of Basic / Atomic Prompting - The outcomes of LLM's differs when given basic prompting and prompting with context Here's the link to the repo 👇 https://lnkd.in/gTcqhKtF

This month's blog post is a linked-list practice problem. It's about a variation on the traditional singly-linked list, called a singly-linked circular list with a tail pointer. How can we insert into this type of list, and how can we search one for a given value? https://lnkd.in/g9bZKa35

🚀 Day 134 of 160 Days of DSA Problem: Activity Selection https://lnkd.in/d2V5neKB 🔥 Today’s Learning — - A classic greedy problem where sorting is the key. - Stored activities as {start, finish} pairs. - Sorted them by finish time to ensure we can select the maximum number of non-overlapping activities. - Always picked the next activity whose start time is strictly greater than the last selected activity’s finish time. - Time Complexity: O(N log N) (sorting dominates) - Space Complexity: O(N) (for storing pairs) 📌 This is a textbook example of how sorting + greedy choice gives the optimal solution in scheduling problems. #gfg #geekstreak2025 #GECB #CodingChallenges #TechSkills #Consistency #CodingEralnGECB #160DayCodingChallenge

Section IV – Case Studies Case Study 1: Blackboard Clarity and Student Retention Research by Paivio (1990) on dual coding theory shows that visual clarity (blackboard diagrams, chalk symbols) doubles memory retention compared to spoken instruction alone. The placement of chalk marks mirrors shelf placement—students’ attention is magnetized toward central, structured information. Reference: Paivio, A. (1990). Mental Representations: A Dual Coding Approach. Oxford University Press.