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Description
The Codelicious Computer Science Curriculum is designed to be grade-level appropriate, adheres to both state and national standards for computer science, and is regularly updated to keep pace with developments in the field. Recognizing that computer science encompasses more than just programming, the curriculum offers a diverse range of courses that include coding, unplugged activities, lessons on digital citizenship, and insights into STEM careers, all while incorporating hardware elements. Dive into the various courses available and inspire your students by engaging them with content that ignites their imagination. The coding segments utilize Scratch, a user-friendly block-based language, which is perfect for both new learners and those more advanced in reading. Additionally, keep your students engaged by offering courses that relate directly to their everyday experiences, as the curriculum also explores line-based languages such as JavaScript, HTML, CSS, and Java for deeper programming knowledge. Furthermore, empower your students to enhance their technical abilities through lessons that leverage JavaScript, Java, Python, and Godot to create websites, applications, and games, ensuring a comprehensive understanding of computer science. Ultimately, Codelicious prepares students not just for today’s technology but also for the innovations of tomorrow.
Description
DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming.
DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.
API Access
Has API
API Access
Has API
Integrations
Apache NetBeans
Eclipse BIRT
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Codelicious
Founded
2015
Country
United States
Website
www.codelicious.com
Vendor Details
Company Name
jWork.ORG
Founded
2005
Country
United States
Website
datamelt.org
Product Features
Technical Skills Development
Analytics
Career Coaching
Discussions
Exercises and Projects
Offline Usage
Quizzes & Assessments
Videos
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization