With the data economy taking center stage, coding skills are in high demand in academia and industry. Most master programmes in economics, finance, and management now require students to write code in order to collect, process and analyse data, conduct statistical analyses, and implement quantitative models. In particular the Python programming language has become the number one tool for data analysis, artificial intelligence, quantitative finance, and academic prototyping.
Why Python Camp?
Who should join?
Python Camp is the starting point for all students who have zero experience in computer programming and coding. During an intensive two-week programme, you will learn the fundamentals of computer programming, get hands-on with coding in Python, and eventually write your own piece of software. You will be guided and taught by a team of experienced Python developers who will get you ready for the coding challenges that lie ahead in your master studies.
Meet the Python Camp Team
Bikey Seranilla
Bikey is a PhD candidate of the Luxembourg Centre for Logistics and Supply Chain Management. He is working on multi-stage stochastic optimisation under the supervision of Prof Nils Löhndorf. He is a certified Industrial Engineer from the Philippines and he holds a Master degree in Optimisation and Management of Supply Chains and Transport Systems (MOST) from Nantes, France. If he is not busy doing research, he walks the earth tapping his feet and dancing.
Roozbeh Qorbanian
Roozbeh obtained his B.Sc. degree in Industrial Engineering from Isfahan University of Technology (Isfahan, Iran) in 2013, and his Master’s degree in Industrial Engineering from the University of Tehran (Tehran, Iran) in 2015. He is currently a Ph.D. student at the Luxembourg Center for Logistics and Supply Chain Management at the University of Luxembourg. His research focuses on ‘Intelligent Algorithms for Raw Material Procurement’, under the supervision of Professor Nils Löhndorf.
Tiffany Nguyen
Tiffany hails from a small town in Midwest America, where a crooked river meets a lake lined with cherry trees. She has a background in Systems Engineering (CWRU) and Supply Chain Management (UniLu), and is currently pursuing a PhD in Operations Management (UniLu). Her research is about the medical radioisotope supply chain. She has experience teaching a variety of subjects: from violin and taekwondo to statistics and coding. Some of her skills do not include whistling, deep-sea diving, or muay thai.
Alessandro Tugnetti
Alessandro is a is a PhD candidate at the department of Finance. Before joining the University of Luxembourg in January 2022, Alessandro pursed a Master of Science in Quantitative Finance and Insurance at the University of Turin, Italy. He holds a Master’s degree in Economics from the Collegio Carlo Alberto. Alessandro won the Young Academics scholarship within the Institute for Advanced Study (IAS) with a project called “DATART – DATA Analytics for ART valuation. His topics of scientific interest range from alternative investments to the world of blockchain, with particular attention to developments in the domain of collectibles and NFTs.
Mohammad Namakshenas
Dr. Mohammad Namakshenas is a Postdoctoral Researcher at the Luxembourg Centre for Logistics and Supply Chain Management. He is the director of the Cave Lab, where he supervises the development of data-driven decision-support web applications. Driven by a relentless pursuit of innovative solutions, he is currently exploring leveraging blockchain technology and smart contracts to decentralized energy trading systems.
Programme Overview
Python Camp Advisory Board
Nils Löhndorf
Professor Nils Löhndorf is chair holder of Digital Procurement at the Luxembourg Center for Logistics and Supply Chain Management. He has been teaching Python for data science to students since 2014 and regularly uses Python for scientific data analysis, algorithm prototyping, and mathematical programming.
