This document discusses the use of computer simulation software called STELLA. It begins by defining computer simulation and explaining how STELLA allows users to build models of complex real-world systems. The document then discusses a case study where STELLA was used to model the relationship between owl and mouse populations in a palm oil plantation. Graphs of the simulation results show how the populations interact over time. The document concludes by explaining how STELLA can help students by increasing motivation, allowing experiment exploration, developing problem solving skills, helping visualize invisible processes, and enabling analysis of data and predictions.
This document provides information about a simulation project done using STELLA software. It includes the names and student IDs of three students, the title and lecturer's name. It then outlines the contents of the project report, which includes an introduction to computer simulation, advantages and disadvantages of simulation, an overview of the STELLA software, a discussion of three graphs generated from the STELLA simulation of a prey-predator relationship between mice and owls, and advantages of using STELLA simulations in education. The document concludes by listing references used in the project report.
This document discusses the use of computer simulations in education. It provides examples of how simulations can be used to model predator-prey relationships and increase student motivation. Simulations allow students to explore concepts and see the effects of changes. They also guide learning and reflection. While simulations have advantages like interactivity, some disadvantages are a lack of emotional awareness and inability to adapt to different students. Overall, computer simulations are seen as a useful tool to help teach difficult concepts when used alongside teacher guidance.
This document discusses simulation and modelling software called STELLA. It provides an overview of STELLA's features and how it can be used to simulate systems over time. It also describes the benefits and limitations of using simulations for education. Simulations can increase understanding, provide hands-on learning, and test designs without physical implementation. However, they may oversimplify details and require significant computing resources for complex simulations. Overall, simulations are a useful tool that can enhance the teaching and learning process.
This document discusses modelling and simulation using the STELLA software. It provides an example of modelling predator-prey dynamics between snowshoe hares and lynx. The document defines modelling and simulation, discusses their uses in education, and outlines the Lotka-Volterra predator-prey model. It then applies this model in STELLA to simulate snowshoe hare and lynx populations over time under different levels of lynx predation.
A Review on Introduction to Reinforcement Learningijtsrd
ย
This paper aims to introduce, review and summarize the basic concepts of reinforcement learning. It will provide an introduction to reinforcement learning in machine learning while covering reinforcement learning workflow, types, methods and algorithms used in it. Shreya Khare | Yogeshchandra Puranik "A Review on Introduction to Reinforcement Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42498.pdf Paper URL: https://www.ijtsrd.comcomputer-science/artificial-intelligence/42498/a-review-on-introduction-to-reinforcement-learning/shreya-khare
This document defines simulations as computerized models that represent real or imagined systems in order to teach how those systems work. Simulations create environments resembling real life to allow students to practice and gain experience without risk. There are different types of simulations including exercises, games, and role playing. Simulations are used in nursing education and can involve simple models, standardized patients, computer-based clinical scenarios, high-tech procedural equipment, and virtual reality. Teachers plan, facilitate, and debrief simulations. Advantages include combining theory and practice, active participation, safety, evaluation, and motivation. Disadvantages include not all subjects can use simulations, complexity for young learners, reduced seriousness, expense, and time consumption.
This document provides information about a simulation project done using STELLA software. It includes the names and student IDs of three students, the title and lecturer's name. It then outlines the contents of the project report, which includes an introduction to computer simulation, advantages and disadvantages of simulation, an overview of the STELLA software, a discussion of three graphs generated from the STELLA simulation of a prey-predator relationship between mice and owls, and advantages of using STELLA simulations in education. The document concludes by listing references used in the project report.
This document discusses the use of computer simulations in education. It provides examples of how simulations can be used to model predator-prey relationships and increase student motivation. Simulations allow students to explore concepts and see the effects of changes. They also guide learning and reflection. While simulations have advantages like interactivity, some disadvantages are a lack of emotional awareness and inability to adapt to different students. Overall, computer simulations are seen as a useful tool to help teach difficult concepts when used alongside teacher guidance.
This document discusses simulation and modelling software called STELLA. It provides an overview of STELLA's features and how it can be used to simulate systems over time. It also describes the benefits and limitations of using simulations for education. Simulations can increase understanding, provide hands-on learning, and test designs without physical implementation. However, they may oversimplify details and require significant computing resources for complex simulations. Overall, simulations are a useful tool that can enhance the teaching and learning process.
This document discusses modelling and simulation using the STELLA software. It provides an example of modelling predator-prey dynamics between snowshoe hares and lynx. The document defines modelling and simulation, discusses their uses in education, and outlines the Lotka-Volterra predator-prey model. It then applies this model in STELLA to simulate snowshoe hare and lynx populations over time under different levels of lynx predation.
A Review on Introduction to Reinforcement Learningijtsrd
ย
This paper aims to introduce, review and summarize the basic concepts of reinforcement learning. It will provide an introduction to reinforcement learning in machine learning while covering reinforcement learning workflow, types, methods and algorithms used in it. Shreya Khare | Yogeshchandra Puranik "A Review on Introduction to Reinforcement Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42498.pdf Paper URL: https://www.ijtsrd.comcomputer-science/artificial-intelligence/42498/a-review-on-introduction-to-reinforcement-learning/shreya-khare
This document defines simulations as computerized models that represent real or imagined systems in order to teach how those systems work. Simulations create environments resembling real life to allow students to practice and gain experience without risk. There are different types of simulations including exercises, games, and role playing. Simulations are used in nursing education and can involve simple models, standardized patients, computer-based clinical scenarios, high-tech procedural equipment, and virtual reality. Teachers plan, facilitate, and debrief simulations. Advantages include combining theory and practice, active participation, safety, evaluation, and motivation. Disadvantages include not all subjects can use simulations, complexity for young learners, reduced seriousness, expense, and time consumption.
This document discusses machine learning and various applications of machine learning. It provides an introduction to machine learning, describing how machine learning programs can automatically improve with experience. It discusses several successful machine learning applications and outlines the goals and multidisciplinary nature of the machine learning field. The document also provides examples of specific machine learning achievements in areas like speech recognition, credit card fraud detection, and game playing.
The document describes a simulation conducted using STELLA software to investigate factors that influence the period of a simple pendulum. The simulation aimed to study the effects of mass, initial displacement, and string length on the amplitude, period, and frequency. The results showed that mass had no effect on period, initial displacement increased amplitude but not period, and increasing string length directly increased period as the length appears in the period calculation formula. The simulation allowed interactive exploration of variable effects and helped students better understand pendulum motion concepts.
This document discusses different machine learning techniques including unsupervised learning, supervised learning, training data, testing data, and validation data. Unsupervised learning allows models to find patterns in unlabeled data, while supervised learning uses labeled data to optimize performance. Training data is used to fit models, testing data to evaluate performance on unseen data, and validation data is sometimes used during development to tune models and prevent overfitting.
This document provides an introduction to machine learning and data science. It discusses key concepts like supervised vs. unsupervised learning, classification algorithms, overfitting and underfitting data. It also addresses challenges like having bad quality or insufficient training data. Python and MATLAB are introduced as suitable software for machine learning projects.
BEST MACHINE LEARNING TRAINING INSTITUTE IN BHUBANESWARsiddhantamohanty
ย
Supervised machine learning algorithms will apply what has been learned within the past to new knowledge exploitation labeled examples to predict future events. Starting from the analysis of a legendary coaching dataset, the learning algorithm produces an inferred function to make predictions about the output values. The system is in a position to produce targets for any new input when enough coaching
http://www.arrelicdigital.com/offering/software-development-8
We seek to classify images into different emotions using a first 'intuitive' machine learning approach, then training models using convolutional neural networks and finally using a pretrained model for better accuracy.
Facial emotion detection on babies' emotional face using Deep Learning.Takrim Ul Islam Laskar
ย
phase- 1
Face Detection.
Facial Landmark detection.
phase- 2
Neural Network Training and Testing.
validation and implementation.
phase - 1 has been completed successfully.
This document introduces machine learning concepts through a webinar presentation. It begins with introductions and definitions of machine learning from Wikipedia and O'Reilly. It then provides examples of artificial intelligence and machine learning applications. The main machine learning concepts covered include supervised learning, unsupervised learning, and reinforcement learning. Supervised learning is described as learning from labeled examples, while unsupervised learning finds patterns in unlabeled data. Reinforcement learning involves an agent interacting with an environment and receiving rewards or punishments to achieve goals. Examples of reinforcement learning applications include autonomous vehicles and game playing agents. In closing, the presenter thanks college administrators and attendees for their participation.
Facial Emotion Recognition: A Deep Learning approachAshwinRachha
ย
Neural Networks lie at the apogee of Machine Learning algorithms. With a large set of data and automatic feature selection and extraction process, Convolutional Neural Networks are second to none. Neural Networks can be very effective in classification problems.
Facial Emotion Recognition is a technology that helps companies and individuals evaluate customers and optimize their products and services by most relevant and pertinent feedback.
There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning uses labeled data to train models to make predictions, unsupervised learning finds patterns in unlabeled data through clustering, and reinforcement learning allows agents to learn behaviors through rewards and punishments from its environment.
This document describes a simulation project using STELLA software to model the prey-predator relationship between mice and owls in a palm oil plantation. The document includes the student names and details, an introduction to computer simulation and STELLA software, advantages and disadvantages of simulation, a discussion of three graphs from the STELLA model showing different mice and owl population levels and the resulting impact on palm tree production, and advantages of using STELLA simulations in education.
1. The document discusses the use of Stella simulation software for educational purposes. Stella allows students to dynamically model complex systems and explore how changing variables affects outcomes.
2. Using simulations like Stella is beneficial for student learning as it motivates students and helps them better understand concepts that would be difficult or impossible to demonstrate in real life. Students can observe systems over time and predict how changing parameters impacts results.
3. Stella provides opportunities for active, self-directed learning as students can freely experiment with models and receive immediate feedback on their changes. This supports different learning styles and helps students transfer knowledge to new situations.
This document is a report on computer simulation created by a group consisting of 3 students. It discusses the use of Biosawit simulation and STELLA software to simulate a system involving the relationship between palm, rat, and owl populations. The report includes an introduction to simulation, descriptions of the STELLA programming language and how it was used, aims of the simulation, when simulators are used, applications of simulation, and advantages and disadvantages of computer simulation.
The document discusses the use of simulation software Stella in education. It provides an example of using Stella to model the relationship between owl and rat populations and the impact on palm oil resources. The summary explores the benefits and disadvantages of using simulations in education. Simulations allow experimenting and understanding variable relationships at a lower cost compared to real experiments. However, they require expensive software and trained teachers. They also may not reflect real-world consequences of mistakes.
1) The document describes a computer simulation experiment conducted to investigate the mystery of how the inhabitants of Easter Island were able to create and move enormous stone statues.
2) The simulation uses the STELLA software to model the relationships between population, coconut palms, and statues on the island over time based on different birth rates.
3) By adjusting the birth rate parameter and observing the effects on population, coconut palms, and statues in the graphs generated, students can gain insights into what may have caused the downfall of the Easter Island civilization.
This document discusses using simulations and modeling in teaching and learning. It provides an example of using the STELLA simulation software to model natural selection. The model simulates foxes preying on rabbits, with faster rabbits being more likely to escape and reproduce. The simulation shows rabbit populations increasing over years as the "speed bias" favoring faster rabbits is increased. Simulations allow students to make predictions and explore concepts like natural selection in an interactive way. They can help students better understand topics that may be difficult to demonstrate directly.
This document discusses simulation and the STELLA software package. It provides an introduction to simulation and explains that simulation allows investigation of a system's behavior over time by developing a model. STELLA is introduced as a modeling software that uses diagrams and charts to help users visualize relationships between variables in a system. The document then discusses advantages of simulation such as testing changes without disrupting systems and disadvantages such as potential oversimplification.
Definition of simulation
Simulation is a imitation of the operation of the real world process or system over
time. Simulation involves the generation of an artificial history of the system, and the
observation of that artificial history to draw inferences concerning the operating
characteristics of the real system that is represented.
Simulation is an indispensable problem solving methodology for the solution of
many real world problems. Simulation is used to describe and analyze the behaviour
of a system, ask โ what ifโ questions about the real system, and aid in the real design
of the system. Both existing and conceptual systems can be modeled with simulation.
A simulator is a device, computer program, or system that performs simulation. A
simulation is a method for implementing a model over time.
There are three types of common uses simulation.
Live simulation is a simulation involving real people operating real system. Military
training events using real equipment are live simulations. They are considered
simulations because they are not conducted against a live enemy. In live simulation,
should provide a similar area area of operation and should be close to replicating the
actual activity.
Virtual simulation is a simulation involving real people operating simulated systems.
Virtual simulations inject Human-In-The-Loop in a central role by exercising motor
control skill, decision skill, and communication skill.
Constructive simulation is a simulation involving simulated people operating
simulated systems. Real people can stimulate or make inputs but are not involved in
determining outcomes. Constructive simulations offer the ability to analyze concept,
predict possible outcomes, stress large organization, make measurement, generate
statistics and perform analysis. A constructive simulation is a computer program. For
example, a military user may input data instructing a unit to move and to engage an
enemy target. The constructive simulation determines the speed of movement, the
effect of the engagement with the enemy and any battle damage that may occur.
Computer simulations are computer programs that model real-world or theoretical systems by including dynamic variables. They allow experimentation by changing inputs to observe how the outputs are affected. Simulations have various uses including research, design, analysis, training, education, and entertainment. They provide interactive learning experiences and have advantages over real experiments such as safety, cost-effectiveness, and the ability to manipulate time and place.
Computer simulations are computer programs that model real-world or theoretical systems by including dynamic variables. They allow experimentation by changing inputs to observe how the outputs are affected. Simulations have various uses including research, design, analysis, training, education, and entertainment. They provide safety, cost savings, and allow experiments that would be impossible in real life due to factors like time and location. Simulations are interactive models that can help enhance learning when used alongside traditional instruction.
The document describes how the STELLA simulation software can be used to model simple predator-prey dynamics between lynx and hare populations. The simulation allows students to change a parameter representing the size of the lynx harvest and observe the impact on both populations over time. When the harvest is zero, the populations remain stable, but greater harvests cause instability as the lynx consume more hares. The simulation helps students understand how the populations interact and predict outcomes from changing parameters.
This document discusses machine learning and various applications of machine learning. It provides an introduction to machine learning, describing how machine learning programs can automatically improve with experience. It discusses several successful machine learning applications and outlines the goals and multidisciplinary nature of the machine learning field. The document also provides examples of specific machine learning achievements in areas like speech recognition, credit card fraud detection, and game playing.
The document describes a simulation conducted using STELLA software to investigate factors that influence the period of a simple pendulum. The simulation aimed to study the effects of mass, initial displacement, and string length on the amplitude, period, and frequency. The results showed that mass had no effect on period, initial displacement increased amplitude but not period, and increasing string length directly increased period as the length appears in the period calculation formula. The simulation allowed interactive exploration of variable effects and helped students better understand pendulum motion concepts.
This document discusses different machine learning techniques including unsupervised learning, supervised learning, training data, testing data, and validation data. Unsupervised learning allows models to find patterns in unlabeled data, while supervised learning uses labeled data to optimize performance. Training data is used to fit models, testing data to evaluate performance on unseen data, and validation data is sometimes used during development to tune models and prevent overfitting.
This document provides an introduction to machine learning and data science. It discusses key concepts like supervised vs. unsupervised learning, classification algorithms, overfitting and underfitting data. It also addresses challenges like having bad quality or insufficient training data. Python and MATLAB are introduced as suitable software for machine learning projects.
BEST MACHINE LEARNING TRAINING INSTITUTE IN BHUBANESWARsiddhantamohanty
ย
Supervised machine learning algorithms will apply what has been learned within the past to new knowledge exploitation labeled examples to predict future events. Starting from the analysis of a legendary coaching dataset, the learning algorithm produces an inferred function to make predictions about the output values. The system is in a position to produce targets for any new input when enough coaching
http://www.arrelicdigital.com/offering/software-development-8
We seek to classify images into different emotions using a first 'intuitive' machine learning approach, then training models using convolutional neural networks and finally using a pretrained model for better accuracy.
Facial emotion detection on babies' emotional face using Deep Learning.Takrim Ul Islam Laskar
ย
phase- 1
Face Detection.
Facial Landmark detection.
phase- 2
Neural Network Training and Testing.
validation and implementation.
phase - 1 has been completed successfully.
This document introduces machine learning concepts through a webinar presentation. It begins with introductions and definitions of machine learning from Wikipedia and O'Reilly. It then provides examples of artificial intelligence and machine learning applications. The main machine learning concepts covered include supervised learning, unsupervised learning, and reinforcement learning. Supervised learning is described as learning from labeled examples, while unsupervised learning finds patterns in unlabeled data. Reinforcement learning involves an agent interacting with an environment and receiving rewards or punishments to achieve goals. Examples of reinforcement learning applications include autonomous vehicles and game playing agents. In closing, the presenter thanks college administrators and attendees for their participation.
Facial Emotion Recognition: A Deep Learning approachAshwinRachha
ย
Neural Networks lie at the apogee of Machine Learning algorithms. With a large set of data and automatic feature selection and extraction process, Convolutional Neural Networks are second to none. Neural Networks can be very effective in classification problems.
Facial Emotion Recognition is a technology that helps companies and individuals evaluate customers and optimize their products and services by most relevant and pertinent feedback.
There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning uses labeled data to train models to make predictions, unsupervised learning finds patterns in unlabeled data through clustering, and reinforcement learning allows agents to learn behaviors through rewards and punishments from its environment.
This document describes a simulation project using STELLA software to model the prey-predator relationship between mice and owls in a palm oil plantation. The document includes the student names and details, an introduction to computer simulation and STELLA software, advantages and disadvantages of simulation, a discussion of three graphs from the STELLA model showing different mice and owl population levels and the resulting impact on palm tree production, and advantages of using STELLA simulations in education.
1. The document discusses the use of Stella simulation software for educational purposes. Stella allows students to dynamically model complex systems and explore how changing variables affects outcomes.
2. Using simulations like Stella is beneficial for student learning as it motivates students and helps them better understand concepts that would be difficult or impossible to demonstrate in real life. Students can observe systems over time and predict how changing parameters impacts results.
3. Stella provides opportunities for active, self-directed learning as students can freely experiment with models and receive immediate feedback on their changes. This supports different learning styles and helps students transfer knowledge to new situations.
This document is a report on computer simulation created by a group consisting of 3 students. It discusses the use of Biosawit simulation and STELLA software to simulate a system involving the relationship between palm, rat, and owl populations. The report includes an introduction to simulation, descriptions of the STELLA programming language and how it was used, aims of the simulation, when simulators are used, applications of simulation, and advantages and disadvantages of computer simulation.
The document discusses the use of simulation software Stella in education. It provides an example of using Stella to model the relationship between owl and rat populations and the impact on palm oil resources. The summary explores the benefits and disadvantages of using simulations in education. Simulations allow experimenting and understanding variable relationships at a lower cost compared to real experiments. However, they require expensive software and trained teachers. They also may not reflect real-world consequences of mistakes.
1) The document describes a computer simulation experiment conducted to investigate the mystery of how the inhabitants of Easter Island were able to create and move enormous stone statues.
2) The simulation uses the STELLA software to model the relationships between population, coconut palms, and statues on the island over time based on different birth rates.
3) By adjusting the birth rate parameter and observing the effects on population, coconut palms, and statues in the graphs generated, students can gain insights into what may have caused the downfall of the Easter Island civilization.
This document discusses using simulations and modeling in teaching and learning. It provides an example of using the STELLA simulation software to model natural selection. The model simulates foxes preying on rabbits, with faster rabbits being more likely to escape and reproduce. The simulation shows rabbit populations increasing over years as the "speed bias" favoring faster rabbits is increased. Simulations allow students to make predictions and explore concepts like natural selection in an interactive way. They can help students better understand topics that may be difficult to demonstrate directly.
This document discusses simulation and the STELLA software package. It provides an introduction to simulation and explains that simulation allows investigation of a system's behavior over time by developing a model. STELLA is introduced as a modeling software that uses diagrams and charts to help users visualize relationships between variables in a system. The document then discusses advantages of simulation such as testing changes without disrupting systems and disadvantages such as potential oversimplification.
Definition of simulation
Simulation is a imitation of the operation of the real world process or system over
time. Simulation involves the generation of an artificial history of the system, and the
observation of that artificial history to draw inferences concerning the operating
characteristics of the real system that is represented.
Simulation is an indispensable problem solving methodology for the solution of
many real world problems. Simulation is used to describe and analyze the behaviour
of a system, ask โ what ifโ questions about the real system, and aid in the real design
of the system. Both existing and conceptual systems can be modeled with simulation.
A simulator is a device, computer program, or system that performs simulation. A
simulation is a method for implementing a model over time.
There are three types of common uses simulation.
Live simulation is a simulation involving real people operating real system. Military
training events using real equipment are live simulations. They are considered
simulations because they are not conducted against a live enemy. In live simulation,
should provide a similar area area of operation and should be close to replicating the
actual activity.
Virtual simulation is a simulation involving real people operating simulated systems.
Virtual simulations inject Human-In-The-Loop in a central role by exercising motor
control skill, decision skill, and communication skill.
Constructive simulation is a simulation involving simulated people operating
simulated systems. Real people can stimulate or make inputs but are not involved in
determining outcomes. Constructive simulations offer the ability to analyze concept,
predict possible outcomes, stress large organization, make measurement, generate
statistics and perform analysis. A constructive simulation is a computer program. For
example, a military user may input data instructing a unit to move and to engage an
enemy target. The constructive simulation determines the speed of movement, the
effect of the engagement with the enemy and any battle damage that may occur.
Computer simulations are computer programs that model real-world or theoretical systems by including dynamic variables. They allow experimentation by changing inputs to observe how the outputs are affected. Simulations have various uses including research, design, analysis, training, education, and entertainment. They provide interactive learning experiences and have advantages over real experiments such as safety, cost-effectiveness, and the ability to manipulate time and place.
Computer simulations are computer programs that model real-world or theoretical systems by including dynamic variables. They allow experimentation by changing inputs to observe how the outputs are affected. Simulations have various uses including research, design, analysis, training, education, and entertainment. They provide safety, cost savings, and allow experiments that would be impossible in real life due to factors like time and location. Simulations are interactive models that can help enhance learning when used alongside traditional instruction.
The document describes how the STELLA simulation software can be used to model simple predator-prey dynamics between lynx and hare populations. The simulation allows students to change a parameter representing the size of the lynx harvest and observe the impact on both populations over time. When the harvest is zero, the populations remain stable, but greater harvests cause instability as the lynx consume more hares. The simulation helps students understand how the populations interact and predict outcomes from changing parameters.
Simulation models allow students to participate in and observe simplified representations of real-world systems and processes over time. The document discusses key advantages and disadvantages of using simulations in education, including that simulations allow experimentation without building physical systems, help uncover unexpected behaviors, and can motivate students. Simulations are as effective as conventional teaching methods for conveying subject matter knowledge and more effective for knowledge retention. The conclusion emphasizes that simulations are a powerful educational tool that give students freedom to explore models and observe results in an interesting and fun way.
Computer simulation is the use of a computer program to model a real-world system. The program contains mathematical equations that replicate the system's functional relationships. Running the program produces data that shows how the modeled system would behave over time. Simulations can also take the form of computer graphics animations. Key features of computer simulation include an interactive computer model of a system and the ability to experiment by changing model inputs. Examples include modeling theories of cognition, modeling organic molecule reactions, and fluid dynamics simulations. Computer simulation allows studying systems without building them and enables experimenting with different conditions efficiently. However, simulations can be difficult and expensive to construct and may require expert help to interpret results.
1) The document discusses using laboratory simulation in vocational high schools to model real-world problems. Simulation allows students to safely explore designs and solutions without the risks of hardware testing.
2) A key benefit of simulation is enabling students to incorporate systems from different areas and explore how design decisions in one subsystem impact overall system performance. Simulation also makes it possible to model multidomain systems.
3) While simulation has advantages like safety and enabling exploration, it also has drawbacks like experiences not always matching reality and losing hands-on activities. Overall, simulation is presented as an effective teaching method that can transfer learning to real situations.
This document discusses using the STELLA simulation software to model predator-prey dynamics. It provides background on how STELLA can be used to conduct virtual experiments that represent real-world processes. As an example, it examines a predator-prey model simulating the population fluctuations between Canada lynx and snowshoe hares over time. The simulation allows students to adjust variables and make predictions about how the predator and prey populations would change.
This document discusses the use of STELLA simulation software to model various systems over time. It provides examples of using STELLA to model predator-prey relationships in an oil palm plantation and to predict climate change scenarios. The document also discusses how simulations like STELLA can encourage student interest and engagement in science learning by making experiments interactive, allowing hypothesis testing, and helping students understand real-world systems.
This document discusses the benefits of using STELLA simulation software in education. It provides an example of a STELLA simulation involving the relationship between rat population, owl population, and palm oil production. The summary is:
1) STELLA simulation allows students to manipulate parameters and observe how outcomes change, helping students better understand relationships between variables.
2) Running simulations repeatedly increases student motivation and curiosity to explore topics.
3) Simulations help students make more accurate predictions about experiments compared to traditional methods, and enhance problem solving skills.
1. The document discusses simulation as a technique used to study and analyze the behavior of systems over time. Simulation involves creating a computer-based model of a real-world system to draw conclusions about how it operates.
2. Simulation can be used for task training, decision-making, scientific research, and predicting the behavior of natural systems. It allows testing alternatives without committing resources.
3. The document provides examples of how simulation can be used to model the operations of cooperative societies and banks to help students better understand commercial mathematics topics.
1. The document discusses simulation as a technique used to study and analyze the behavior of actual or theoretical systems by creating computer-based models. It is used when directly studying real systems is not possible or practical.
2. Simulation models can be static or dynamic, discrete or continuous, and deterministic or stochastic. They are composed of mathematical and logical relationships that are analyzed using numerical rather than analytical methods.
3. Simulation has many applications including manufacturing and materials handling systems. It allows testing designs and systems virtually before implementing them in the real world. It provides insights into how systems work and which variables most impact performance.
This document is a report submitted by Nor Hashimah Bt Zaitong for her Assignment 3 on Information Communication and Technology. The report discusses using a computer simulation to model the predator-prey relationship between lynx and snowshoe hare populations. It describes how to design a simulation using STELLA software, presents the results of simulating a one-time harvest of lynx, and analyzes the effects on population levels over time based on the simulation outputs. The report also covers advantages and disadvantages of using educational computer simulations.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
ย
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analyticsโ feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
ย
Ivรกn Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
ย
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Communicating effectively and consistently with students can help them feel at ease during their learning experience and provide the instructor with a communication trail to track the course's progress. This workshop will take you through constructing an engaging course container to facilitate effective communication.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
ย
(๐๐๐ ๐๐๐) (๐๐๐ฌ๐ฌ๐จ๐ง ๐)-๐๐ซ๐๐ฅ๐ข๐ฆ๐ฌ
๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ ๐ญ๐ก๐ ๐๐๐ ๐๐ฎ๐ซ๐ซ๐ข๐๐ฎ๐ฅ๐ฎ๐ฆ ๐ข๐ง ๐ญ๐ก๐ ๐๐ก๐ข๐ฅ๐ข๐ฉ๐ฉ๐ข๐ง๐๐ฌ:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง ๐ญ๐ก๐ ๐๐๐ญ๐ฎ๐ซ๐ ๐๐ง๐ ๐๐๐จ๐ฉ๐ ๐จ๐ ๐๐ง ๐๐ง๐ญ๐ซ๐๐ฉ๐ซ๐๐ง๐๐ฎ๐ซ:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Main Java[All of the Base Concepts}.docxadhitya5119
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Stella software WORD
1. (Craig,1996)
Name & matric
number
Marini binti Mohd Isa (D20151070952)
Nor Afifah binti Saaidi (D20151070993)
Ramizah binti Abdull Rahman (D20151070992)
Title Simulation (Stella Software)
Group A
Lecturerโs name Encik Azmi bin Ibrahim
FACULTY OF SCIENCE AND MATHEMATICS
UNIVERSITI PENDIDIKAN SULTAN IDRIS
SSI 3013
INFORMATION AND COMMUNICATION
TECHNOLOGY IN SCIENCE
2. INTRODUCTION
No Title Pages
1. Introduction 3
2. Advantages of simulation 4
3. Disadvatages of simulation 5
4. What is STELLA? 5-6
5. Discussion 6-8
6. How Stella can help students 9-11
7. Conclusion 11
8. References 11
3. Simulation by computer is the way of creating a model of an actual or theoretical
physical system by carrying out the model on a digital computer thus analyze. The output in
computer simulation, we can divide it into three sub-fields which are model design, model
execution and model analysis. If we want to learn more about system, we need to build and
operate the model first. This simulation can be equivalent with the โrole playโ which is we
simulate people, animals or objects with toys and figurines to understand the progress or
process. As for us, the artificial objects are built to act out roles with them in order to
understand some reality and complexity. Hence, computer simulation acts as the electronic
equivalence to role play to drive synthetic environments and virtual world.
By using simulation, we also can simulate a physical thing such as mathematical
model. Firstly, we need to create a model to represent the physical object. There are many
forms of models such as declarative, functional, constraint, spatial or multi-model. Multi-
model is a model that consists of many integrated models. When the model has been
developed, the model is executed on the computer. This means that a computer program must
be created which steps through time and at the same time updating the state and event
variables in the mathematical model. Modeling uses software or and hardware to represent a
real world system. If the software components are driven by mathematical relationships, the
model can be simulated in various scenarios to verify that the system is correctly represented
and input signals are properly responded.
ADVANTAGES OF SIMULATION
4. 1. Safety. By using simulation, it can avoid any danger and can reduce any accident
during the process. For example, the air-flight simulator gives opportunity to the
inexperienced flight attendants. How to fly air plane like in a real-life situation but in
a safer mode.
2. Practical feedback. Simulators are able to give practical feedback about the real world
system to users. It can help the designer to save construction cost by allowing them to
explore better design alternatives thus make the best decision before physically build
the systems.
3. Easy to perform. The results are mostly accurate compared to analytical model. Users
also can have trial and can identify the errors as many times as desired. It is also can
help us to find an unexpected phenomenon. Besides that, simulation can be speed up
so that behavior can be studied easily over a long period of time. Other than that, the
simulation can be slow down to study the behavior more closely. The conditions can
be varied based on what we put and the outcomes can be investigated easily.
4. Effective way. It is an effective way to teach certain concepts to student by
demonstrating instead of just study about the theory in text books. Computer can
represent information by graphics, videos, sounds and animations which are can
attract student attention and enhance student to understanding the process effectively.
DISADVANTAGES OF SIMULATION
5. There is also some disadvantages of using simulation. Some of the disadvantages are
as below:
1. Costly. A simulation model is a bit costly to build and expensive to conduct the
process. It is costly when we were trying to build the model such as aerodynamic
wind tunnels.
2. Needed of expertise. To run this simulation, a person must be expert in the computing
skills and programming as they need to understand well how the software is
functioning.
3. Well manage system. It is requires uses of computer system with a fast processor and
large memory.
4. Poor understanding and insufficient data. For this reason it has not been possible to
create simulations that can accurately predict the occurrence and effects of
earthquakes and tsunami. The formula and functions that are used may not provide an
accurate description of the system resulting in inaccurate output from the simulation.
What is STELLA?
STELLA is computer simulation software that provides a practical way to visualize
and communicate how complex the system really works in the real world. A lot of people can
use this simulation as it can give teachers, students, and researchers to utilize the software
and explore more to an endless questions and experiments. The model itself provides a lot of
opportunities for the students to explore by questioning what is happening in reality. It also
can make the learning process more exciting and effective. STELLA is being used widely by
many researchers and educators to study various fields such as physics, calculus, economics,
literature, chemistry, medicine and so on. It recognized for its ability to stimulate learning in
users.
6. In this assignment, we used STELLA software on prey-predator relationship between
owls and mice in palm oil tree farm and through this experiment we can predict the effect of
mice and owls population to the palm oil tree. Thus, instead of carrying out the experiments
in a real laboratory, STELLA enables us to save time and cost and also helps to predict
outcomes almost immediately.
DISCUSSION
Graph 1
๏ท In the graph we can see that the number of owl decreased at the beginning of the
experiment
๏ท Due to insufficient number of mice
๏ท Then, the number of owl and the number of mice have a directly proportional
relationship
๏ท So, increasing number of mice will increase the number of owl
๏ท Thus, the production of palm fruit increased steadily through the year
8. โข In the graph, we can analysed that the number of owl is increased from 13 to 16 due to
the number of mice decreased
โข After a long time, the number of mice start to increase steadily because the number of
owl remain constant
โข But the number of palm fruit production still increasing
โข After a few years later, there is a declination in number of palm fruit production due
increasing of the number of mice
โข The number of mice is increasing throughout the experiment
HOW STELLA CAN HELP STUDENT
9. 1) INCREASE STUDENTS MOTIVATION
One of the purpose of educational simulation (Stella) is to motivate the learners or
students to engage problem solving, hypothesis testing, experimental learning, scheme
construction and development of mental models. Using this technique in teaching in learning
is really an effective method to motivate students to increase their interest towards learning.
Simulation can motivate student in many ways includes ability of this Stella software to create
a risk free environment and allow students to explore the simulation.
2) ALLOW EXPERIMENT EXPLORATION
Simulation can enhance students motivation and interest to learn since they are very
familiar with the computers and digital games. They love environment of learning that requires
them to explore which suit their curiosity and high-tech mind.
Stella software allow students to interact with the simulations and mostly, simulation
are designed with flexible architecture that allow their variables to be altered. So, students can
change the parameter in the variables and observe how the simulated outcomes changes. By
directly modifying a model, students can experience with the behavior of the models in a
number of different scenarios. By doing a simulation using Stella too, students can relate it
with the content knowledge and with the real life.
The main purpose of simulation is to allow the motivated students to have a deeper
understanding of the experiment or model they simulate. With the animated outcomes such as
graph plotting, charts, relations, and diagrams, students will have a better picture of the process.
Other than that, of course animated and interesting interface of the simulations from the Stella
can attract the studentsโ interest to learn.
3) STUDENT CAN PRACTICE PROBLEM SOLVING SKILL
10. Meaningful learning are when students can relate what they study with the real world
situation. It is a good alternative to consider transforming every classroom setting into a
situated learning environment. It is possible to bring some of the benefits of situated learning
into the conventional classroom setting by using Stella. Stella facilitates situated learning by
providing interactive practice of real-world skills, focusing on the essential elements of a real
problem or system.
Problem solving skill is one of the important skill that everyone needs. Student can
develop skills through real life situation and experience. One of the other way to develop this
skills is through learning with the assistance of simulation. The simulation presents the
environment, authentic information sources and the tools to let the student solve the problem
and test their knowledge. As mentioned before, Stella provides risk free environment, student
or teacher does not have to worry about any risky outcome may be happened.
4) HELPS STUDENT VISUALIZE โINVISIBLEโ SCIENCE PROCESS
Students are hard to understand science concept that cannot be seen through their eyes.
Therefore, they need some visualization to help them see and understand the process or
phenomena of the science concept. This is why Stella can be integrated in teaching and learning
science to help students visualize and get real picture of what they learn. Simulation are needed
to visualize process that is too small to review such as reproduction of bacteria.
5) ALLOW STUDENT TO ANALYZE DATA AND PREDICT FUTURE
OUTCOME
Simulation can be useful in predicting the future outcome with all the necessary study
data. In real life, no one can predict future accurately but we can study the pattern for the
highest probability that will occur. By using Stella, student are able to study the trend of the
outcome whenever they manipulate the variable because student can see the trend of the
11. experiment when they run the experiment. Take the graph from the pendulum experiment, it
can be seen that the graph have certain pattern and the next graph can be predicted
Analysing and predicting data by using Stella can enhance studentโs thinking skill and
problem solving skill. This process also can give student the introduction on how to do on a
research, which they will do in their higher level of education later.
CONCLUSION
This simulation is a combination of biology and chemistry, which is called
biochemistry. This simulation provides a platform for students in research and for further
understanding in enzymatic pathways and kinetics. Students learned by analyzing and
synthesizing graphs, which is against the norms in traditional teaching. This simulation can
increase student knowledge and assists them to doing the research by their own more easily and
practically. In conclusion, simulation contributes in teaching as it enhances understanding and
promotes higher order thinking skills. Moreover, the result that was obtained by using this
simulation also more accurate rather than doing the graph manually.
REFERENCES
Craig,D. (1996, July8). Disadvantagesof Simulation.RetrievedfromDisadvantagesof Simulation
STELLA (SystemsThinking forEducation and Research).(n.d.).RetrievedfromDataObservation
NetwokforEarth: https://www.dataone.org/software-tools/stella-systems-thinking-
education-and-research