Quadratic Equation vs SPICENet Visualization

The DOST Courseware is a locally-produced, all-original Filipino highly interactive multimedia educational application packages that are conceptualized, digitized and produced as spearheaded by the Science Education Institute (SEI-DOST) in partnership with the Advanced Science and Technology Institute (ASTI-DOST) and in cooperation with the Department of Education (DepEd), Philippine Normal University (PNU) and University of the Philippines-National Institute for Science and Mathematics Education (UP-NISMED), which aims to develop information and communication technology learning innovation to support the upgrading and improvement of science and mathematics education in the country. The DOST Courseware are provided for free to schools and are also made available online as supplemental resources for teachers and student as a fun and interactive approach to e-learning and blended learning. The Grade 7 DOST Courseware is composed of 120 lessons overall, 73 lessons in Science where it covered the domains on: Matter; Force, Motion and Energy, Living Things and Their Environment and Earth and Space while the 60 lessons in Mathematic covered the domains on: Numbers and Number Sense, Patterns and Algebra, and Geometry. The Grade 8 DOST Courseware is composed of 118 lessons overall, 61 lessons in Science where it covered the domains on: Parts and Functions, Ecosystems, Heredity: Inheritance and Variation of Traits, Structures and Functions, Biodiversity, and Evolution, while the 57 lessons in Mathematics covered the domains on: Linear Equations, Quadratic Equations, Rational Algebraic Equations, Integral Exponents, Radicals, Arithmetic Sequence and Geometric Sequence. The themes of the courseware for Grades 7 and 8, Magicademy, Freddy’s Lab and D’nayao will surely amuse the users as they explore these distinct worlds while learning at the same time.

SpiceNet is an educational and research-oriented simulation app for exploring SPICEnet, a self-organizing neural model for learning relationships between sensory inputs. Run simulations from generated data or import your own CSV file, adjust network and data parameters, and inspect the results through scatter plots, line charts, histograms, tuning curves, and heatmaps. The app also includes a theory section explaining the SPICEnet model and a benchmark tool for comparing standard Swift computation with Apple’s Accelerate framework. Features: - Run SPICEnet simulations from random data - Import CSV files and select columns for analysis - Adjust neurons, learning rate, initialization range, data count, transformation type, and chunk size - Visualize simulation output with multiple chart types - View explanatory SPICEnet theory content - Run local performance benchmarks - Export benchmark results as a PDF All simulations and file processing run locally on the device. Academic context: SpiceNet was developed by Omar Ashour as part of a bachelor thesis under the supervision of Prof. Dr.-Ing. Cristian Axenie at Technische Hochschule Nürnberg Georg Simon Ohm.