This document summarizes the speaker's experience with distributed version control systems (DVCS) and the key insights they gained. It outlines an agenda covering an introductory talk on DVCS, a demonstration of TortoiseHg, and a discussion of experiences. The speaker discusses how directed acyclic graphs (DAGs) model the true history in a DVCS repository, an insight they gained from Eric Sink's book and practicing with TortoiseHg.
The document contains a computer network assignment with 13 questions related to TCP/IP protocol. It asks about sequence number representation, congestion control, timeout calculation, transport protocols for file transfer, and identifying processes on different hosts. It also contains questions about circuit switched vs packet switched networks, and calculating delay for file transfer between two hosts separated by routers. There is a figure illustrating a TCP connection that needs to be filled in with sequence numbers, acknowledgment numbers and segment lengths.
General Cryptography :WHY JOHNNY THE DEVELOPER CAN’T WORK WITH PUBLIC KEY CER...Priyanka Aash
A usability study of OpenSSL and a factorization method for moduli with two prime factors are discussed. Topic 1: Why Johnny the Developer Can’t Work with Public Key Certificates: An Experimental Study of OpenSSL Usability Authors: Martin Ukrop; Vashek Matyas Topic 2: Improved Factorization of N=p^r q^s Authors: Jean-Sebastien Coron; Rina Zeitoun
(Source: RSA Conference USA 2018)
This document provides an overview of the Go programming language, including its origins, key features, and examples. Some of the main points covered include:
- Go was launched by Google and was influenced by languages like C, Unix, and Plan 9.
- It focuses on system programming and aims to improve on existing languages. Key features include goroutines, channels, interfaces, and garbage collection.
- Examples demonstrate using goroutines and channels for concurrency, implementing interfaces, and a basic "Hello World" program.
The document discusses how Cython can be used to easily reduce runtimes by up to 3 orders of magnitude. It provides examples showing how applying Cython techniques like declaring types and using NumPy arrays reduced a Pandas apply function runtime from 175ms to 1ms and a convolution runtime from 3310ms to 13.6ms. The document encourages typing variables, matching Python and C types, using Jupyter's Cython magic, and keeping Cython optimization in mind during design to take advantage of these performance gains.
This document discusses using R for high performance computing (HPC) on remote computer clusters. It provides examples of running R code in parallel on a cluster to speed up computations. Specifically, it shows how to submit R scripts to a job queue and run Monte Carlo simulations, train machine learning models, and perform coin flipping experiments in parallel. It emphasizes using specialized R packages that are optimized for performance, taking advantage of built-in parallelism, and accessing large memory resources on clusters.
Chapter 3 Commands at MATLAB Command WindowPranoti Doke
This document discusses various MATLAB commands used in the command window, including who, whos, min, max, Transpose, Length, size, cos, sin, Zeros, Ones. It provides examples of using these commands to calculate size, length, minimum, maximum, and transpose of matrices. It also gives examples of solving equations using MATLAB commands like addition, subtraction, multiplication, division, and trigonometric functions.
This document summarizes the speaker's experience with distributed version control systems (DVCS) and the key insights they gained. It outlines an agenda covering an introductory talk on DVCS, a demonstration of TortoiseHg, and a discussion of experiences. The speaker discusses how directed acyclic graphs (DAGs) model the true history in a DVCS repository, an insight they gained from Eric Sink's book and practicing with TortoiseHg.
The document contains a computer network assignment with 13 questions related to TCP/IP protocol. It asks about sequence number representation, congestion control, timeout calculation, transport protocols for file transfer, and identifying processes on different hosts. It also contains questions about circuit switched vs packet switched networks, and calculating delay for file transfer between two hosts separated by routers. There is a figure illustrating a TCP connection that needs to be filled in with sequence numbers, acknowledgment numbers and segment lengths.
General Cryptography :WHY JOHNNY THE DEVELOPER CAN’T WORK WITH PUBLIC KEY CER...Priyanka Aash
A usability study of OpenSSL and a factorization method for moduli with two prime factors are discussed. Topic 1: Why Johnny the Developer Can’t Work with Public Key Certificates: An Experimental Study of OpenSSL Usability Authors: Martin Ukrop; Vashek Matyas Topic 2: Improved Factorization of N=p^r q^s Authors: Jean-Sebastien Coron; Rina Zeitoun
(Source: RSA Conference USA 2018)
This document provides an overview of the Go programming language, including its origins, key features, and examples. Some of the main points covered include:
- Go was launched by Google and was influenced by languages like C, Unix, and Plan 9.
- It focuses on system programming and aims to improve on existing languages. Key features include goroutines, channels, interfaces, and garbage collection.
- Examples demonstrate using goroutines and channels for concurrency, implementing interfaces, and a basic "Hello World" program.
The document discusses how Cython can be used to easily reduce runtimes by up to 3 orders of magnitude. It provides examples showing how applying Cython techniques like declaring types and using NumPy arrays reduced a Pandas apply function runtime from 175ms to 1ms and a convolution runtime from 3310ms to 13.6ms. The document encourages typing variables, matching Python and C types, using Jupyter's Cython magic, and keeping Cython optimization in mind during design to take advantage of these performance gains.
This document discusses using R for high performance computing (HPC) on remote computer clusters. It provides examples of running R code in parallel on a cluster to speed up computations. Specifically, it shows how to submit R scripts to a job queue and run Monte Carlo simulations, train machine learning models, and perform coin flipping experiments in parallel. It emphasizes using specialized R packages that are optimized for performance, taking advantage of built-in parallelism, and accessing large memory resources on clusters.
Chapter 3 Commands at MATLAB Command WindowPranoti Doke
This document discusses various MATLAB commands used in the command window, including who, whos, min, max, Transpose, Length, size, cos, sin, Zeros, Ones. It provides examples of using these commands to calculate size, length, minimum, maximum, and transpose of matrices. It also gives examples of solving equations using MATLAB commands like addition, subtraction, multiplication, division, and trigonometric functions.
This document provides an introduction to the Python programming language. It discusses that Python is an object-oriented, high-level programming language designed by Guido van Rossum. The document then covers general Python concepts like case sensitivity, indentation, objects, scope, and namespaces. It explains some key advantages of using Python, such as its simple syntax, open source status, portability, lack of type restrictions, large standard libraries, and interpretive nature. Finally, it lists some common applications of Python, including web development, scientific computing, networking, and games.
Process the Twitter stream using Storm & Redstorm with Ruby & JRuby. Full working demo, code on github https://github.com/colinsurprenant/tweitgeist and live demo http://tweitgeist.needium.com/
This is an introduction to python ppt. This PPT has basic information about python. This may be first-class to the learner. It describes the fundamentals of python from history to basic programming skills. It allows the learner to learn how to start coding in python
Intro to Machine Learning - Hierarchical Temporal MemoryMartin Chang
This document discusses hierarchical temporal memory (HTM) and its applications for ECG heartbeat categorization and anomaly detection. HTM is an unsupervised learning approach that uses a temporal memory to predict the next value in a time series based on context to detect anomalies early without seeing the future. It provides links to libraries for HTM and a Kaggle dataset for training and testing an HTM model on ECG heartbeats.
[COSCUP 2018] uTensor C++ Code GeneratorYin-Chen Liao
uTensor is a neural network inference library for microcontrollers (MCUs) that automatically generates C++ code from trained TensorFlow models. It includes a command line tool that takes a trained TensorFlow model file as input and outputs C++ header and source files to run the model on MCUs. The tool currently supports generating code for multilayer perceptrons (MLPs) and convolutional neural networks (CNNs). The presentation demonstrated an end-to-end example of training a CNN model in TensorFlow, saving it as a protocol buffer file, and using the uTensor tool to generate C++ code to run inference on the model.
The advent of multicore CPUs have facilitated the enhancement of performance in many application domains. But it has shifted the burden of maximizing the usage of this hardware resource to the developers of operating systems and programming languages and ultimately the software engineers who have to develop the applications.
We first look at the concurrency primitives that modern operating systems provides us to work with, namely processes and threads. With Python, a common approach is to use threads which have shared memory. However this can be difficult to do well as it is easy to run into race conditions and other bugs. And Python threads, unlike OS threads, cannot run at the same time due to the infamous GIL, thus limiting us to only one core.
To utilize multiple cores in Python, an effective and better solution is to use multiple processes, each with their own memory space and provide inter-process communication using message passing. We will look at the multiprocessing module and how to use it for this purpose.
This document provides an overview of the Python programming language, including its history, key features, and common uses. It discusses how Python is an interpreted, object-oriented language with dynamic typing and automatic memory management. Examples are given of Python's syntax for numbers, strings, modules, data structures like lists and dictionaries, and the interactive shell. Popular applications of Python like web development, science, and games are also mentioned.
This is a presentation I gave as a short overview of LSTMs. The slides are accompanied by two examples which apply LSTMs to Time Series data. Examples were implemented using Keras. See links in slide pack.
The document discusses concurrency models and patterns in programming languages. It describes how features like first-class functions allow some patterns to be invisible in languages. Common patterns like threading and actors are discussed, along with implementations using Communicating Sequential Processes and the actor model in different languages. The goal is to irritate the reader by discussing these concepts.
- Spark Streaming allows processing of live data streams using Spark's batch processing engine by dividing streams into micro-batches.
- A Spark Streaming application consists of input streams, transformations on those streams such as maps and filters, and output operations. The application runs continuously processing each micro-batch.
- Key aspects of operationalizing Spark Streaming jobs include checkpointing to ensure fault tolerance, optimizing throughput by increasing parallelism, and debugging using Spark UI.
Concurrency and parallelism in Python are always hot topics. This talk will look the variety of forms of concurrency and parallelism. In particular this talk will give an overview of various forms of message-passing concurrency which have become popular in languages like Scala and Go. A Python library called python-csp which implements similar ideas in a Pythonic way will be introduced and we will look at how this style of programming can be used to avoid deadlocks, race hazards and "callback hell".
The document discusses a lecture on developing an AI chatbot using Python and TensorFlow, covering setting up a Docker environment, explaining example code in Jupyter notebooks, and introducing the two speakers and their backgrounds working on machine learning and chatbots.
This document provides an overview of an IST 380 data science course. It introduces the instructor, Zach Dodds, and discusses topics that will be covered over the 15 weeks including using R, descriptive statistics, predictive modeling, machine learning algorithms, and a final project. Assignments are due weekly and students can work individually or in pairs. The course aims to provide both specific skills in data analysis and a broad background in data science.
This document provides an overview of an introductory data science course (IST 380). It discusses the course content which includes learning the R programming language, descriptive statistics, predictive modeling, and machine learning algorithms. It also covers course logistics like assignments, grading, and academic honesty policies. The goal of the course is to provide students with practical data science skills that can be applied to real-world problems and datasets.
This document provides an overview of an introductory data science course (IST 380). It discusses the course content which includes learning the R programming language, descriptive statistics, predictive modeling, and machine learning algorithms. It also covers the grading scheme, assignments, and final project where students can apply what they learned to a dataset of their choice.
This document provides an overview of an IST 380 data science course. It introduces the instructor, Zach Dodds, and discusses topics that will be covered over the 15 weeks including using R, descriptive statistics, predictive modeling, machine learning algorithms, and a final project. Assignments are due weekly and students can work individually or in pairs. The course aims to provide both specific skills in data analysis and a broad background in data science.
HBaseCon 2013: How (and Why) Phoenix Puts the SQL Back into NoSQLCloudera, Inc.
This document discusses Phoenix, an open source SQL skin for HBase. Phoenix provides a SQL interface and JDBC driver for HBase, allowing users to query HBase data using SQL and leveraging existing SQL tools and frameworks. It compiles SQL queries into efficient native HBase operations, improving performance. Examples demonstrate how Phoenix handles different types of queries, such as aggregating metrics data and finding the longest GC times, through optimizations like skip scans and server-side processing.
This document summarizes a talk given by Dr. Noel O'Boyle on using Python for chemistry. It discusses what Python is, why it is useful for chemistry, and how it can be used. Specific examples are given of popular Python modules for tasks like data analysis, visualization, cheminformatics, and interfacing with other languages like R and Java. The document provides an overview of the capabilities of Python for scientific computing and highlights its growing adoption in the chemistry community.
This document summarizes a talk given by Dr. Noel O'Boyle on using Python for chemistry. It discusses what Python is, why it is useful for chemistry, and how it can be used. Specific examples are given of popular Python modules for tasks like data analysis, visualization, cheminformatics, and interfacing with other languages like R and Java. The document provides an overview of the capabilities of Python for scientific computing and highlights its growing adoption in the chemistry community.
"Discover the roadmap to advanced networking expertise with our CCNP (ENCOR & ENARSI) Course Outline! 📚🌟 Dive deep into essential topics, from network infrastructure to advanced routing and switching, under expert guidance. 💻💡 Get ready to elevate your networking skills and accelerate your career to new heights! Join us on this exciting journey today! #CCNP #Networking #CourseOutline"
https://ns3edu.com/training-ccnp-course
This document provides an introduction to the Python programming language. It discusses that Python is an object-oriented, high-level programming language designed by Guido van Rossum. The document then covers general Python concepts like case sensitivity, indentation, objects, scope, and namespaces. It explains some key advantages of using Python, such as its simple syntax, open source status, portability, lack of type restrictions, large standard libraries, and interpretive nature. Finally, it lists some common applications of Python, including web development, scientific computing, networking, and games.
Process the Twitter stream using Storm & Redstorm with Ruby & JRuby. Full working demo, code on github https://github.com/colinsurprenant/tweitgeist and live demo http://tweitgeist.needium.com/
This is an introduction to python ppt. This PPT has basic information about python. This may be first-class to the learner. It describes the fundamentals of python from history to basic programming skills. It allows the learner to learn how to start coding in python
Intro to Machine Learning - Hierarchical Temporal MemoryMartin Chang
This document discusses hierarchical temporal memory (HTM) and its applications for ECG heartbeat categorization and anomaly detection. HTM is an unsupervised learning approach that uses a temporal memory to predict the next value in a time series based on context to detect anomalies early without seeing the future. It provides links to libraries for HTM and a Kaggle dataset for training and testing an HTM model on ECG heartbeats.
[COSCUP 2018] uTensor C++ Code GeneratorYin-Chen Liao
uTensor is a neural network inference library for microcontrollers (MCUs) that automatically generates C++ code from trained TensorFlow models. It includes a command line tool that takes a trained TensorFlow model file as input and outputs C++ header and source files to run the model on MCUs. The tool currently supports generating code for multilayer perceptrons (MLPs) and convolutional neural networks (CNNs). The presentation demonstrated an end-to-end example of training a CNN model in TensorFlow, saving it as a protocol buffer file, and using the uTensor tool to generate C++ code to run inference on the model.
The advent of multicore CPUs have facilitated the enhancement of performance in many application domains. But it has shifted the burden of maximizing the usage of this hardware resource to the developers of operating systems and programming languages and ultimately the software engineers who have to develop the applications.
We first look at the concurrency primitives that modern operating systems provides us to work with, namely processes and threads. With Python, a common approach is to use threads which have shared memory. However this can be difficult to do well as it is easy to run into race conditions and other bugs. And Python threads, unlike OS threads, cannot run at the same time due to the infamous GIL, thus limiting us to only one core.
To utilize multiple cores in Python, an effective and better solution is to use multiple processes, each with their own memory space and provide inter-process communication using message passing. We will look at the multiprocessing module and how to use it for this purpose.
This document provides an overview of the Python programming language, including its history, key features, and common uses. It discusses how Python is an interpreted, object-oriented language with dynamic typing and automatic memory management. Examples are given of Python's syntax for numbers, strings, modules, data structures like lists and dictionaries, and the interactive shell. Popular applications of Python like web development, science, and games are also mentioned.
This is a presentation I gave as a short overview of LSTMs. The slides are accompanied by two examples which apply LSTMs to Time Series data. Examples were implemented using Keras. See links in slide pack.
The document discusses concurrency models and patterns in programming languages. It describes how features like first-class functions allow some patterns to be invisible in languages. Common patterns like threading and actors are discussed, along with implementations using Communicating Sequential Processes and the actor model in different languages. The goal is to irritate the reader by discussing these concepts.
- Spark Streaming allows processing of live data streams using Spark's batch processing engine by dividing streams into micro-batches.
- A Spark Streaming application consists of input streams, transformations on those streams such as maps and filters, and output operations. The application runs continuously processing each micro-batch.
- Key aspects of operationalizing Spark Streaming jobs include checkpointing to ensure fault tolerance, optimizing throughput by increasing parallelism, and debugging using Spark UI.
Concurrency and parallelism in Python are always hot topics. This talk will look the variety of forms of concurrency and parallelism. In particular this talk will give an overview of various forms of message-passing concurrency which have become popular in languages like Scala and Go. A Python library called python-csp which implements similar ideas in a Pythonic way will be introduced and we will look at how this style of programming can be used to avoid deadlocks, race hazards and "callback hell".
The document discusses a lecture on developing an AI chatbot using Python and TensorFlow, covering setting up a Docker environment, explaining example code in Jupyter notebooks, and introducing the two speakers and their backgrounds working on machine learning and chatbots.
This document provides an overview of an IST 380 data science course. It introduces the instructor, Zach Dodds, and discusses topics that will be covered over the 15 weeks including using R, descriptive statistics, predictive modeling, machine learning algorithms, and a final project. Assignments are due weekly and students can work individually or in pairs. The course aims to provide both specific skills in data analysis and a broad background in data science.
This document provides an overview of an introductory data science course (IST 380). It discusses the course content which includes learning the R programming language, descriptive statistics, predictive modeling, and machine learning algorithms. It also covers course logistics like assignments, grading, and academic honesty policies. The goal of the course is to provide students with practical data science skills that can be applied to real-world problems and datasets.
This document provides an overview of an introductory data science course (IST 380). It discusses the course content which includes learning the R programming language, descriptive statistics, predictive modeling, and machine learning algorithms. It also covers the grading scheme, assignments, and final project where students can apply what they learned to a dataset of their choice.
This document provides an overview of an IST 380 data science course. It introduces the instructor, Zach Dodds, and discusses topics that will be covered over the 15 weeks including using R, descriptive statistics, predictive modeling, machine learning algorithms, and a final project. Assignments are due weekly and students can work individually or in pairs. The course aims to provide both specific skills in data analysis and a broad background in data science.
HBaseCon 2013: How (and Why) Phoenix Puts the SQL Back into NoSQLCloudera, Inc.
This document discusses Phoenix, an open source SQL skin for HBase. Phoenix provides a SQL interface and JDBC driver for HBase, allowing users to query HBase data using SQL and leveraging existing SQL tools and frameworks. It compiles SQL queries into efficient native HBase operations, improving performance. Examples demonstrate how Phoenix handles different types of queries, such as aggregating metrics data and finding the longest GC times, through optimizations like skip scans and server-side processing.
This document summarizes a talk given by Dr. Noel O'Boyle on using Python for chemistry. It discusses what Python is, why it is useful for chemistry, and how it can be used. Specific examples are given of popular Python modules for tasks like data analysis, visualization, cheminformatics, and interfacing with other languages like R and Java. The document provides an overview of the capabilities of Python for scientific computing and highlights its growing adoption in the chemistry community.
This document summarizes a talk given by Dr. Noel O'Boyle on using Python for chemistry. It discusses what Python is, why it is useful for chemistry, and how it can be used. Specific examples are given of popular Python modules for tasks like data analysis, visualization, cheminformatics, and interfacing with other languages like R and Java. The document provides an overview of the capabilities of Python for scientific computing and highlights its growing adoption in the chemistry community.
"Discover the roadmap to advanced networking expertise with our CCNP (ENCOR & ENARSI) Course Outline! 📚🌟 Dive deep into essential topics, from network infrastructure to advanced routing and switching, under expert guidance. 💻💡 Get ready to elevate your networking skills and accelerate your career to new heights! Join us on this exciting journey today! #CCNP #Networking #CourseOutline"
https://ns3edu.com/training-ccnp-course
The CCNP Enterprise certification program is designed to validate advanced skills in enterprise networking solutions. It covers a wide range of topics including advanced routing, switching, troubleshooting, security, and automation. CCNP Enterprise holders are equipped to design, deploy, manage, and troubleshoot modern enterprise networks effectively.
Build a Complex, Realtime Data Management App with Postgres 14!Jonathan Katz
Congratulations: you've been selected to build an application that will manage reservations for rooms!
On the surface, this sounds simple, but you are building a system for managing a high traffic reservation web page, so we know that a lot of people will be accessing the system. Therefore, we need to ensure that the system can handle all of the eager users that will be flooding the website checking to see what availability each room has.
Fortunately, PostgreSQL is prepared for this! And even better, we will be using Postgres 14 to make the problem even easier!
We will explore the following PostgreSQL features:
* Data types and their functionality, such as:
* Data/Time types
* Ranges / Multirnages
Indexes such as:
* GiST
* Common Table Expressions and Recursion (though multiranges will make things easier!)
* Set generating functions and LATERAL queries
* Functions and the PL/PGSQL
* Triggers
* Logical decoding and streaming
We will be writing our application primary with SQL, though we will sneak in a little bit of Python and using Kafka to demonstrate the power of logical decoding.
At the end of the presentation, we will have a working application, and you will be happy knowing that you provided a wonderful user experience for all users made possible by the innovation of PostgreSQL!
These guidelines provide an overview of the topics and references for the B.Sc.(H) Computer Science Semester VI courses, including:
- Theory of Computation focusing on languages, automata, and models of computation
- Network Programming and Administration covering TCP/IP, sockets, and networking debugging
- Computer Graphics regarding transformations, modeling, and animation
- Operational Research Techniques such as linear programming, networks, and queuing models
- Artificial Intelligence including search techniques, logic, and expert systems
- Multimedia Applications involving audio/video compression, virtual reality, and interactive scripts
The document outlines the chapter references and suggested practical exercises for each course.
This document provides an overview and introduction to IST 380, a data science course taught by Zach Dodds. The course covers topics like R programming, statistical analysis, machine learning algorithms, and a final project. Students will learn skills in data visualization, predictive modeling, and applying data science techniques to real-world datasets. The course emphasizes hands-on learning through weekly assignments completed in R.
Resource list for Noora Aabad's AI presentation. Ethical AI is a shared responsibility. Students, teachers, users, programmers, investors, regulators, and others all play a role in determining the future of AI technology development and use. This session will feature an innovative and interactive approach to a virtual panel, giving both panelists and attendees the opportunity to interact and respond to various AI scenarios and activities. While the moderator and panelists demonstrate and discuss on-screen, attendees also have the opportunity to share their own insights, observations, and questions in a moderated chat.
ALDI is working to make its business more sustainable through reducing plastic usage, increasing recyclability, cutting carbon emissions, reducing food waste, and sourcing products responsibly. Some key initiatives include committing to eliminate all plastic shopping bags by 2023, making over 60% of exclusive packaging reusable/recyclable, offsetting 100% of energy usage with renewable sources, and requiring 53% of coffee to come from sustainable sources. ALDI also donates food to food banks and other charitable causes to support communities.
A Mexican scientist discusses his background in biology and palaeontology. He became interested in computer science through secondary school classes and seeing his father work as a programmer. As a palaeontologist, he applies computer science concepts like data science and artificial intelligence to digitize fossils. He emphasizes embracing frustration when learning and believes communication and listening are important for diversity in universities.
Effective CS teachers demonstrate thorough knowledge of CS concepts and integrate them with computational thinking practices. They understand how CS concepts progress across grade levels. Effective CS teachers advocate for equity and inclusion, examine biases, and use student data to improve equity. They also continuously develop their own skills and collaborate with others. Effective CS teachers design engaging, standards-aligned learning experiences that meet student needs and build self-efficacy in CS through inquiry-based learning and student collaboration.
The document provides a list of 14 resources related to STEM education and careers. These include the website and social media accounts for the STEM Impressionists Program (SIP), links to SIP members' LinkedIn profiles, extracurricular activities, competitions, scholarships, college application portals, top employability skills, coding resources, funding opportunities, SIP member resumes, STEM-related holidays, information on ethics in technology, and organizations that support women in STEM.
The document announces a one-day virtual event hosted by the STEM Impressionists Program on August 14th from 10am to 3pm EST for middle and high school girls. It will feature introductory classes on Scratch programming, machine learning, and intro to Python to encourage participation in STEM fields. Interested students can register for the event at the provided link.
Tanisha Dhami has extensive experience in STEM fields such as programming, mathematics, and physics competitions and courses. She has a strong academic background graduating near the top of her class from Vidyashilp Academy in 2020 and is currently studying at Mallya Aditi International School. Her resume highlights leadership roles in math clubs, organizing coding competitions, and simulation projects that demonstrate her skills and passion for STEM subjects.
Pallab Layak is a recent high school graduate with extensive experience in STEM fields such as mathematics, computer science, and data analytics. He has achieved high scores on standardized tests and placed in several international and national competitions in mathematics. Pallab has taken numerous online courses through platforms like Coursera and Wharton covering topics like machine learning, data analytics, programming, and physics. He has held leadership positions in math and coding clubs and has experience mentoring others and organizing programming.
Noora Aabed is a 2022 graduate of Henry Ford Early College in Detroit, Michigan with a 3.95 GPA. She has extensive experience in STEM fields through coding courses and camps, presenting at hackathons and seminars, competing in STEM competitions, and volunteering for various STEM and humanitarian organizations. Her experience includes projects in quantum computing, international ambassadorship, and rotations at Henry Ford Health System. References are available upon request.
This document lists various science, technology, engineering, arts, and math (STEAM) related days and weeks that occur throughout the year. Some of the notable events mentioned include Environment Day on June 5th, International Women in Engineering Day on June 23rd, the anniversary of the Moon Landing on July 20th, National Robotics Week from April 4-10th, Earth Day on April 22nd, and National Pluto isn't a Planet Day on June 24th. The document also notes that February is National Inventors Month and the week of February 21st is National Engineering Week.
Starting With Scratch is a block-based programming course provided by the CodeTigers and STEM Impressionists Program collaboration. Over the course of 10 weeks, students will practice programming on Scratch while simultaneously learning fundamental computer science concepts. Each week will be taught by two student mentors who will walk participants through different lessons that will overtime build their understanding of coding through the Scratch platform. Throughout the course, students will be provided with resources to further their exploration of computer science in addition to preparing them to continue on to other coding platforms such as Python, micro:bit, and HTML/CSS. YouTube class: https://www.youtube.com/watch?
Register for the Coolest Project Competition!Angela DeHart
This document lists the details of how to register for Raspberry Pi's International competition. All of the information was obtained from their website. Please double-check the website as the information that is covered in this document may have changed since it was posted. We do not want you to miss out on the competition! (Document posted April 25, 2021).
Starting With Scratch is a block-based programming course provided by the CodeTigers and STEM Impressionists Program collaboration. Over the course of 10 weeks, students will practice programming on Scratch while simultaneously learning fundamental computer science concepts. Each week will be taught by two student mentors who will walk participants through different lessons that will overtime build their understanding of coding through the Scratch platform. Throughout the course, students will be provided with resources to further their exploration of computer science in addition to preparing them to continue on to other coding platforms such as Python, micro:bit, and HTML/CSS. YouTube class: https://www.youtube.com/watch?
Starting With Scratch is a block-based programming course provided by the CodeTigers and STEM Impressionists Program collaboration. Over the course of 10 weeks, students will practice programming on Scratch while simultaneously learning fundamental computer science concepts. Each week will be taught by two student mentors who will walk participants through different lessons that will overtime build their understanding of coding through the Scratch platform. Throughout the course, students will be provided with resources to further their exploration of computer science in addition to preparing them to continue on to other coding platforms such as Python, micro:bit, and HTML/CSS. YouTube class: https://www.youtube.com/watch?
Coolest Projects online is the world’s leading technology showcase for young people. If you enjoy making things with technology, Coolest Projects online is an amazing opportunity to get creative, have fun, and celebrate what you have made.
Your creation will be showcased in the Coolest Projects online gallery, for people all over the world to see! Coolest Projects online is free, it is open to anyone up to the age of 18, and you can join in wherever you are in the world.
Abia Zahir is a 2021 graduate of Annandale High School interested in studying computer science. She has extensive experience in computer science and robotics through numerous online courses and certifications. She has organized and participated in many STEM outreach and competition events. She also has leadership experience through involvement with clubs like NSBE and internships like planning a STEM conference for parents and children. Her resume demonstrates strong qualifications for computer science through academic achievement, projects, and recognition.
Starting With Scratch is a block-based programming course provided by the CodeTigers and STEM Impressionists Program collaboration. Over the course of 10 weeks, students will practice programming on Scratch while simultaneously learning fundamental computer science concepts. Each week will be taught by two student mentors who will walk participants through different lessons that will overtime build their understanding of coding through the Scratch platform. Throughout the course, students will be provided with resources to further their exploration of computer science in addition to preparing them to continue on to other coding platforms such as Python, micro:bit, and HTML/CSS. YouTube class: https://www.youtube.com/watch?
Starting With Scratch is a block-based programming course provided by the CodeTigers and STEM Impressionists Program collaboration. Over the course of 10 weeks, students will practice programming on Scratch while simultaneously learning fundamental computer science concepts. Each week will be taught by two student mentors who will walk participants through different lessons that will overtime build their understanding of coding through the Scratch platform. Throughout the course, students will be provided with resources to further their exploration of computer science in addition to preparing them to continue on to other coding platforms such as Python, micro:bit, and HTML/CSS. YouTube class: https://www.youtube.com/watch?
Brand Guideline of Bashundhara A4 Paper - 2024khabri85
It outlines the basic identity elements such as symbol, logotype, colors, and typefaces. It provides examples of applying the identity to materials like letterhead, business cards, reports, folders, and websites.
How to Manage Reception Report in Odoo 17Celine George
A business may deal with both sales and purchases occasionally. They buy things from vendors and then sell them to their customers. Such dealings can be confusing at times. Because multiple clients may inquire about the same product at the same time, after purchasing those products, customers must be assigned to them. Odoo has a tool called Reception Report that can be used to complete this assignment. By enabling this, a reception report comes automatically after confirming a receipt, from which we can assign products to orders.
Information and Communication Technology in EducationMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 2)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐈𝐂𝐓 𝐢𝐧 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧:
Students will be able to explain the role and impact of Information and Communication Technology (ICT) in education. They will understand how ICT tools, such as computers, the internet, and educational software, enhance learning and teaching processes. By exploring various ICT applications, students will recognize how these technologies facilitate access to information, improve communication, support collaboration, and enable personalized learning experiences.
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭:
-Students will be able to discuss what constitutes reliable sources on the internet. They will learn to identify key characteristics of trustworthy information, such as credibility, accuracy, and authority. By examining different types of online sources, students will develop skills to evaluate the reliability of websites and content, ensuring they can distinguish between reputable information and misinformation.
How to Download & Install Module From the Odoo App Store in Odoo 17Celine George
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptxCapitolTechU
Slides from a Capitol Technology University webinar held June 20, 2024. The webinar featured Dr. Donovan Wright, presenting on the Department of Defense Digital Transformation.
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إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
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تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
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1. Students may choose which activity they will partake in in both the morning and afternoon session.
Times Activity 1 Description Activity 2 Description
10 A.M.- 12 P.M. (EST)
9 A.M.- 11 A.M. (CT)
8 A.M.- 10 A.M. (MT)
7 A.M.- 9 P.M. (PST)
Intro to Scratch Learn CS concepts
through
block-based
project creation on
Scratch
Intro to Python Get comfortable
programming in a
text-based
environment and
understanding the
power of Python.
12 P.M.- 1 P.M. (EST)
11 A.M.- 12 P.M. (CT)
10 A.M.- 11 A.M. (MT)
9 A.M.- 10 A.M. (PST)
Snack Break + A surprise announcement!
1 P.M.- 3 P.M. (EST)
12 A.M.- 2 P.M. (CT)
11 A.M.- 1 P.M. (MT)
10 A.M.- 12 P.M. (PST)
Advanced Scratch Explore additional
scratch add-on
tools to further
customize a scratch
project
Machine Learning Get introduced to the
building blocks of
Artificial
Intelligence and
create a self-made
Machine
Learning model on
Scratch