List of hackathons organized by coding lab - www.codinglab.com.sg in 2018

Learn Python While Enhancing Your Child’s Understanding of Mathematics Consistently ranked #1 as the “Most Popular Coding Language“, learning Python will enable your child to build programs that are used widely today in many domains; Eg. Web Development, Data Science, and Artificial Intelligence. In this program specifically designed based on the GCE "O" and "A" levels Mathematics curriculum, Mathematics will be used as the context through which students pick up Python programming skills. They will learn how to develop a simultaneous or quadratic equation solver, program Monte Carlo simulations, and more, leading to a better understanding of these complex and abstract Mathematical concepts. This powerful synergistic pairing of Math and Programming, developed by Coding Lab's Award-Winning team of curriculum advisors, has been tested in selected MOE schools and proven to provide students a solid foundation in both. Course Outline Introduction to Python: Simultaneous Equations are EasyLearn to install, setup and run PythonBasic Syntax and VariablesNumerical data and Mathematics operatorsDevelop a simultaneous equation solver program Booleans and Conditionals: Solving Quadratic EquationsLearn booleans and conditionalsSyntax of if, if-then-else, if and elifLogical operators and truth tablesDevelop a quadratic equation solver program While LoopsUsing while loopsApplying while loops to Mathematics (Eg. Prime numbers, Fibonacci sequence) Using Modules and LibrariesRandom numbersPlotting graphs with MatplotlibModelling probability by developing a roulette game simulator and plotting the results Hackathon and ChallengesTimed Challenges for students to stretch their abilities Fees: $445 (*Early Bird 5% off) All equipment provided. *Up till 10 days before the course starts, subject to availability.

(S111) Python Meets Mathematics 2 - Further Develop your Child’s Structured Thinking Process (Ages 13-16) Taking Mathematical Simulations to the next level, students who have completed S101 will now be performing even more Monte Carlo Simulations, experimenting with Probability, and practicing statistical modelling. This course furthers their understanding of Python (Consistently ranked #1 as the “Most Popular Coding Language"), introducing them to concepts such as Functions, Lists, and Strings. Students will be expected to apply programming to model Mathematical simulations. Improving code efficiency will play a huge part in this module. This powerful pairing of Math and Programming not only allows your child to build a solid foundation in both but also most importantly, to understand how Math is applicable in the Real World. Our proprietary curriculum, developed by Coding Lab’s Award-Winning team of curriculum advisors has been tested in selected MOE schools in Singapore and is based on the GCE "O" Level and "A" Level Mathematics curriculum. Watch our students in action: https://youtu.be/u4BG9fQFTuA Course Outline FunctionsLearn how to define and use your own functionsIntroduction to the different types of functionsModularise an earlier program with functionsAdditional Math challenges (Eg. Factorials, Prime numbers) ListsIntroduction to data structuresCreating and using listsDeveloping a shopping cart programAdditional Math challenges (Eg. Superspeed Prime Numbers generator, dice-rolling probability experiments) Strings, Dictionaries, Range and For LoopsUnderstanding Strings as a listCreating and using dictionariesUsing For loopsDeveloping a text analysis program More Useful LibrariesInstalling additional Python libraries/ modulesUsing matplotlibUsing numpyPlotting of functions and equations (reinforcement of concepts from Math Class)Actuarial consultant - Use Statistics and Probability to determine if your client should launch a product Hackathon & ChallengesTimed challenges for students to stretch their abilities Fees: $445 (*Early Bird $395) Students must have completed S101: Python Meets Mathematics in order to enrol for this module. Otherwise, a placement test is required. All equipment provided. *Up till 10 days before the course starts

(S111) Python Meets Mathematics II - Further Develop your Child’s Structured Thinking Process (Ages 13-16) Taking Mathematical Simulations to the next level, students who have completed S101 will now be performing even more Monte Carlo Simulations, experimenting with Probability, and practicing statistical modelling. This course furthers their understanding of Python (Consistently ranked #1 as the “Most Popular Coding Language"), introducing them to concepts such as Functions, Lists, and Strings. Students will be expected to apply programming to model Mathematical simulations. Improving code efficiency will play a huge part in this module. This powerful pairing of Math and Programming not only allows your child to build a solid foundation in both but also most importantly, to understand how Math is applicable in the Real World. Our proprietary curriculum, developed by Coding Lab’s Award-Winning team of curriculum advisors has been tested in selected MOE schools in Singapore and is based on the GCE "O" Level and "A" Level Mathematics curriculum. Watch our students in action: https://youtu.be/u4BG9fQFTuA Course Outline Functions Learn how to define and use your own functions Introduction to the different types of functions Modularise an earlier program with functions Additional Math challenges (Eg. Factorials, Prime numbers) Lists Introduction to data structures Creating and using lists Developing a shopping cart program Additional Math challenges (Eg. Superspeed Prime Numbers generator, dice-rolling probability experiments) Strings, Dictionaries, Range and For Loops Understanding Strings as a list Creating and using dictionaries Using For loops Developing a text analysis program More Useful Libraries Installing additional Python libraries/ modules Using matplotlib Using numpy Plotting of functions and equations (reinforcement of concepts from Math Class) Actuarial consultant - Use Statistics and Probability to determine if your client should launch a product Hackathon & Challenges Timed challenges for students to stretch their abilities Fees: $445 (*Early Bird $395) Students must have completed S101: Python Meets Mathematics in order to enrol for this module. Otherwise, a placement test is required. All equipment provided. *Up till 10 days before the course starts