This document provides information about a practical report on the STELLA simulation software. STELLA allows users to construct dynamic models that simulate biological systems using stocks, flows, converters and connectors. The report discusses three graphs generated using STELLA that model the relationship between rat and owl populations and palm oil production. The graphs demonstrate how increasing rat populations and decreasing owl populations can negatively impact palm oil yields over time. STELLA provides an engaging way for students to explore variables and conduct experiments to better understand complex systems.
This document discusses the use of simulation software Stella in education. It provides an overview of simulation theory and how Stella works. A case study is described where Stella was used to simulate predator-prey dynamics. Advantages of using simulation in education include motivating students through active learning and problem solving. Limitations include teachers lacking expertise and students not developing manual science skills. In conclusion, simulation can enhance learning if used properly to engage students in systems thinking.
This document describes a group assignment to simulate a Biosawit experiment using Stella software. The experiment models the relationship between palm production, rat population, and owl population over a food chain. The group conducted 4 simulations varying the initial rat population from 5,000 to 30,000 while keeping the initial owl population at 5. All simulations showed palm production initially increasing as the rat population decreased due to owl predation, then fluctuating as the rat and owl populations fluctuated in response to each other over time.
This document discusses a simulation created using Stella software to model biological control in a palm oil ecosystem.
The simulation models the relationship between rat populations, owl populations as biological control agents, and palm oil production. The simulation showed that a high rat population with a low owl population leads to low palm production, while a low rat population with a high owl population leads to high palm production.
The simulation demonstrated that rat populations, owl populations, and palm oil production are interrelated through a food chain, with palm as the producer, rats as the primary consumer, and owls as the secondary consumer. The simulation helps to understand how changes in one part of the ecosystem can impact other parts.
This document discusses simulation as a learning tool. It provides examples of using simulations to model biological systems and explain complex relationships. Simulations allow students to interact with realistic scenarios, helping increase engagement and conceptual understanding. The document advocates for using simulations more in teaching, but cautions that teachers need to carefully consider how to integrate them and assess their effectiveness.
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.
1) The document discusses using the Stella simulation software to model biological control in a palm oil ecosystem. It presents two graphs from a simulation showing the relationship between owl and rat populations over time under different conditions.
2) The advantages of using simulations discussed are that they enhance student motivation by allowing active learning, equip students with problem solving skills through interactive practice, and provide a risk-free environment for experimentation and exploration.
3) The disadvantages mentioned are that simulations may require purchasing a license, can only be accessed on computers, and some students may struggle without proper guidance.
This document discusses a simulation model of the palm ecosystem. The simulation shows that when the rat population is high and owl population is low, palm production decreases, but when rat population is low and owl population is high, palm production increases. The document also lists some advantages and disadvantages of simulations, such as their ability to study systems without building them and their high costs. Finally, it discusses how simulations can be used as educational tools to help train students and healthcare professionals.
This document discusses the use of simulation software Stella in education. It provides an overview of simulation theory and how Stella works. A case study is described where Stella was used to simulate predator-prey dynamics. Advantages of using simulation in education include motivating students through active learning and problem solving. Limitations include teachers lacking expertise and students not developing manual science skills. In conclusion, simulation can enhance learning if used properly to engage students in systems thinking.
This document describes a group assignment to simulate a Biosawit experiment using Stella software. The experiment models the relationship between palm production, rat population, and owl population over a food chain. The group conducted 4 simulations varying the initial rat population from 5,000 to 30,000 while keeping the initial owl population at 5. All simulations showed palm production initially increasing as the rat population decreased due to owl predation, then fluctuating as the rat and owl populations fluctuated in response to each other over time.
This document discusses a simulation created using Stella software to model biological control in a palm oil ecosystem.
The simulation models the relationship between rat populations, owl populations as biological control agents, and palm oil production. The simulation showed that a high rat population with a low owl population leads to low palm production, while a low rat population with a high owl population leads to high palm production.
The simulation demonstrated that rat populations, owl populations, and palm oil production are interrelated through a food chain, with palm as the producer, rats as the primary consumer, and owls as the secondary consumer. The simulation helps to understand how changes in one part of the ecosystem can impact other parts.
This document discusses simulation as a learning tool. It provides examples of using simulations to model biological systems and explain complex relationships. Simulations allow students to interact with realistic scenarios, helping increase engagement and conceptual understanding. The document advocates for using simulations more in teaching, but cautions that teachers need to carefully consider how to integrate them and assess their effectiveness.
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.
1) The document discusses using the Stella simulation software to model biological control in a palm oil ecosystem. It presents two graphs from a simulation showing the relationship between owl and rat populations over time under different conditions.
2) The advantages of using simulations discussed are that they enhance student motivation by allowing active learning, equip students with problem solving skills through interactive practice, and provide a risk-free environment for experimentation and exploration.
3) The disadvantages mentioned are that simulations may require purchasing a license, can only be accessed on computers, and some students may struggle without proper guidance.
This document discusses a simulation model of the palm ecosystem. The simulation shows that when the rat population is high and owl population is low, palm production decreases, but when rat population is low and owl population is high, palm production increases. The document also lists some advantages and disadvantages of simulations, such as their ability to study systems without building them and their high costs. Finally, it discusses how simulations can be used as educational tools to help train students and healthcare professionals.
This document discusses the use of simulation software Stella in education. It provides an overview of simulation theory and describes how Stella allows users to create system dynamic models to visualize complex systems over time. The document also discusses the benefits of using simulations in education, including how they can motivate students and allow risk-free exploration. Predicting outcomes through simulation is described as an effective way for students to study trends by manipulating variables and observing results over multiple runs.
This document discusses using the STELLA simulation software to model predator-prey dynamics. It provides background on predator-prey theory and describes using STELLA to simulate the interaction between snowshoe hares and lynx over time. The simulation allows users to manipulate variables and observe their impact on predator and prey populations. It finds that STELLA engages students by allowing them to actively experiment with models and better understand complex systems through visualization of dynamic changes over many years.
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.
The document discusses the benefits of simulation and modeling in education. It provides an example of using the STELLA software to model predator-prey dynamics between lynx and snowshoe hares. Adjusting the number of harvested lynx results in changes to both populations over time, demonstrating lag effects between the two. Simulation allows students to better understand complex systems and predict outcomes by experimenting with variables.
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 describes a group assignment by three students to simulate a Biosawit experiment using Stella software. The experiment models the relationship between palm production, rat population, and owl population over a food chain. The students ran four simulations varying the initial rat population from 5,000 to 30,000 while keeping the initial owl population at 5. All simulations showed palm production initially increasing as the rat population decreased due to owl predation, then fluctuating as the rat and owl populations fluctuated in response to each other over the 25 year period.
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.
The document discusses using the STELLA simulation software to model natural selection. It begins with an overview of simulation and modeling. It then discusses using STELLA specifically to model a rabbit population undergoing natural selection from fox predators. The model shows the average rabbit speed increasing over generations as slower rabbits are preyed upon more. The document analyzes the results and shows how they support Darwin's theory of natural selection. It concludes that STELLA is an effective teaching tool that can increase student understanding and motivation by allowing them to predict population changes over time.
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.
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 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 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.
This document discusses a STELLA simulation of a population model. It begins with an introduction to computer simulation and population models. The objectives are to understand population using simulation and explore different outcome scenarios. Advantages of simulation include experimenting without impacting the real system, while disadvantages are lack of realism and potential errors. The STELLA population model analyzes the relationship between lifespan and birth rate under different parameter changes. It found that higher birth rates correspond to longer lifespans. In conclusion, population simulation is useful for analyzing concepts and predicting outcomes, though errors and credibility issues remain challenges.
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.
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 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 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.
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 “ what if” 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.
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 a simulation model of the palm ecosystem. The simulation shows that when the rat population is high and owl population is low, palm production decreases, but when rat population is low and owl population is high, palm production increases. The document also lists some advantages and disadvantages of simulations, such as their ability to study systems without building them and their high costs. Finally, it discusses how simulations can be used as educational tools to help train students and healthcare professionals.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This document discusses the use of simulation software Stella in education. It provides an overview of simulation theory and describes how Stella allows users to create system dynamic models to visualize complex systems over time. The document also discusses the benefits of using simulations in education, including how they can motivate students and allow risk-free exploration. Predicting outcomes through simulation is described as an effective way for students to study trends by manipulating variables and observing results over multiple runs.
This document discusses using the STELLA simulation software to model predator-prey dynamics. It provides background on predator-prey theory and describes using STELLA to simulate the interaction between snowshoe hares and lynx over time. The simulation allows users to manipulate variables and observe their impact on predator and prey populations. It finds that STELLA engages students by allowing them to actively experiment with models and better understand complex systems through visualization of dynamic changes over many years.
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.
The document discusses the benefits of simulation and modeling in education. It provides an example of using the STELLA software to model predator-prey dynamics between lynx and snowshoe hares. Adjusting the number of harvested lynx results in changes to both populations over time, demonstrating lag effects between the two. Simulation allows students to better understand complex systems and predict outcomes by experimenting with variables.
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 describes a group assignment by three students to simulate a Biosawit experiment using Stella software. The experiment models the relationship between palm production, rat population, and owl population over a food chain. The students ran four simulations varying the initial rat population from 5,000 to 30,000 while keeping the initial owl population at 5. All simulations showed palm production initially increasing as the rat population decreased due to owl predation, then fluctuating as the rat and owl populations fluctuated in response to each other over the 25 year period.
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.
The document discusses using the STELLA simulation software to model natural selection. It begins with an overview of simulation and modeling. It then discusses using STELLA specifically to model a rabbit population undergoing natural selection from fox predators. The model shows the average rabbit speed increasing over generations as slower rabbits are preyed upon more. The document analyzes the results and shows how they support Darwin's theory of natural selection. It concludes that STELLA is an effective teaching tool that can increase student understanding and motivation by allowing them to predict population changes over time.
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.
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 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 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.
This document discusses a STELLA simulation of a population model. It begins with an introduction to computer simulation and population models. The objectives are to understand population using simulation and explore different outcome scenarios. Advantages of simulation include experimenting without impacting the real system, while disadvantages are lack of realism and potential errors. The STELLA population model analyzes the relationship between lifespan and birth rate under different parameter changes. It found that higher birth rates correspond to longer lifespans. In conclusion, population simulation is useful for analyzing concepts and predicting outcomes, though errors and credibility issues remain challenges.
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.
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 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 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.
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 “ what if” 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.
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 a simulation model of the palm ecosystem. The simulation shows that when the rat population is high and owl population is low, palm production decreases, but when rat population is low and owl population is high, palm production increases. The document also lists some advantages and disadvantages of simulations, such as their ability to study systems without building them and their high costs. Finally, it discusses how simulations can be used as educational tools to help train students and healthcare professionals.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"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 Analytics” 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!"
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
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1. Course name: Information And Communication Technology
In Science
Course code: SSI3013
Practical report on: Systems Thinking for Education and Research
(STELLA) Report
Lecturer: Encik Azmi Bin Ibrahim
Name Lecture Group Matric number
Aimi Fatihah Bt Muhammad Fauzi B D20151071003
Najwa Husna Bt Saahwal B D20151070957
Siti Khadijah Binti Khalid B D20151070972
Nurul Najiha Husna binti Baharudin B D20151070960
2. 2
INTRODUCTION
Referred to Oxford Dictionary, simulation has been defined as a model of a set of
problems or events that can be used to teach someone how to do something or the process of
making a model. Stella is one of the flexible computer simulations modelling package with an
easy, intuitive interface that allows users to construct dynamic models that realistically simulate
biological systems. STELLA is short for System Thinking, Experimental Learning Laboratory
with Animation. It has been introduced by Barry Richmond in 1985.
The program, distributed by isee systems which allow users to run models created a
graphical representation of systems using four fundamental building blocks. It has been used in
academia as a teaching tool and has been utilized in a variety of research and business
applications. It is because of its simplicity relative to more complex modelling languages;
STELLA has been cited as a useful tool in educational settings.
The inventor viewed most of education as assimilating content and proposed system
thinking as a remedy to this model. So, in 1987 High Performance Systems released a guide to
STELLA encouraging its use in academic settings. Many textbooks have been published that
teach modeling and system thinking using this software.
There are some functionality and features of STELLA. It was complete package of
modeling software that consist diagrams, charts, and uses animation help visual learners to
discover relationships between variables and helps simplify model building. It also handles time
series, sensitivity and simulation models well and has a drag and drop modeling interface. Users
may create graphical models of a system using four fundamentals such as stocks, flows,
converters and connectors. Relationships between converters (which convey transforming
variables) and other elements may be drawn with converters. Users also are able to input value
for stocks, flows and converters.
In other hand, STELLA runs one window at a time meaning that only one model can be
run at any given moment. The program’s native film formats are dnoted either by an .stm, .stmx,
.itm or .itmx. STELLA also uses the emerging XML-based standard for storing models, XMILE.
The languages run of Microsoft Windows and OS X and its most recent release was version
3. 3
10.1.2. in 2012, two researchers released StellaR, software which can translate STELLA models
into the R programming language.
DISCUSSION
Graph 1
This Stella software provides the exploration of the model and conducts the experiments
for all users. Stella is the best medium in education for instance, in order to enhance students’
motivation and their predictions on the results if they changed the variables by running the
experiment themselves. So, the purpose of this attempt is to develop a model of a system that
illustrates the effect of palm oil plant based on the population of owls and rats.
There are few buttons that can be click in order to see how the simulation is functioning.
The buttons are ‘run’, ‘stop’ and ‘pause’ and it also provides knob for students to manipulate the
variables. All the buttons and the knob can be click and manipulate by students to see what will
happen to the simulation graph. Exploring is an important element before students start to
conduct any experiment as they will be more eager about the experiment and the important thing
is they can relate the experiment with the theories they have learnt.
4. 4
For the beginning, students may set the knob that represents the number of rats and the
number owls. According to the picture above, the user have set the left knob to 20000 that
represents the population of rats and 12 on the right knob that represents the population of owls.
After the variables has been set, students can click the ‘run’ button to see what kind of graph will
the software produces. In addition, the software also provides the ‘slider’ for students to see how
many fruits are harvests and also how many fruits are damages caused by the increasing of the
rats in the plantations.
According to the graph provided in the picture, it shows that the population of rats keep
increases when there is a drop in population of owls. In the meanwhile, the production of palm
oil still increase by years even the population of rats has increases for a few years. Here, students
can noted that the increases of rats in the plantations give the big impact on the production of
palm oil. So that, the population of owls plays an important role in order to increase the
production of palm oil.
The picture above is to demonstrate to the student on how to use this simulation and see
the relationship among the variables on the graph. This simulation enables them to know how the
scientists do their work every day. Moreover, this simulation can make the students to be more
interested to conduct experiments after this, because they are able to manipulate the variables
and see how the results produce.
5. 5
Graph 2
The knobs used in this simulation purposely to see the effect of owls’ population and rat
populations towards the palm oil plants. This can be done by rotating the knobs to the left or
right in order to adjust the number of populations for both owls and rats. In this graph, the rat
population was set at 28000 while owls’ population is at 18. It can be compared with the first
graph where the number of rats is at 20000 while the number of owls is at 12. So that we can see
a very significant change between graph 1 and also graph 2.
From the graph, we can see that the population of owls increases slightly at the beginning
however after a few years, it started to decrease drastically to zero. The population of rats is very
low at first while the number of palm oil plants production is slowly increasing throughout the
year. However, after a few years the population of rats started to increase gradually because of
there were no owls that acts as a predator to those rats. Therefore, the palm oil production was
also started to decrease gradually.
After another several years, the population of rats started to increase rapidly so it
resulting in rapidly decreasing in number of palm oil plant because it cannot tolerate with the rat
populations anymore.
6. 6
Based on this graph, the simulation shows the relationship of owls and rats population to
the palm oil productions. We can see the significant change when there were increasing number
of rats and decreasing number of owls in the production of palm oil plants. We can also conclude
that there was equilibrium among these three variables. Thus, in order to cope with this situation,
some biological methods can be implement for instance the biological control method where we
can control the number of rats by increasing the number of owls in order to get a huge amount of
palm oil production.
Graph 3
Next, by using the stimulation student can generate data by prediction. The knob is used
to manipulate the variable by increase or decrease the population of owl and rat to see the effect
of the palm oil plant. Before that, the variables were manipulated which is both increasing the
population of rat and owl. For the third picture, only the value of the owl population has been
decrease.
After changing the value of the owl population, the graph of the owl will slightly down
and at the end will continuously constant. From the straight line graph also does not mean that no
interaction is occurred but it can conclude as the condition stable. From the graph student can
predict that the amount of owl increase the population of rat. Soon, the amount of rat will not
reduce because from the manipulating variable by decreasing the population of owl, we found
that there an excessive population of rat not being eaten.
When we look at the pattern of the graph, the population of the rat pattern are closely
related as it is inversely proportional to the population of oil palm plant’s pattern. The interaction
is simple. The owl population act as a predator, so the variable has been manipulated by the
student causes the outcomes of the oil palm plant population to be reduced. The oil palm plant is
the main source. If not all the rat eat by the owl so it need more food supply. Then, the oil palm
plant will reduce slowly.
7. 7
Furthermore, it shows that the population of rat will increase and also affected the source
of oil palm plant to decrease too. From the pattern of graph, the students are able to predict the
outcomes that happen for the next experiment if they know already what actually the pattern of
the population of rat, population of owl that depends by the main source of oil palm plant. If the
rate population of owl increase the rate population of rat decrease while if the rate of rat increase,
the rate of owl will increase too.
As this graph are not too complex to be interpreted by the students. It will trigger the
student engagement towards these activities to be active. They will participate to formulate a
new question and predict their own trend of outcomes for the next experiment. They can handle
all the knowledge and transfer the knowledge to a new problems and situation that were given by
the teachers.
8. 8
ADVANTAGES
STELLA gives many advantages in teaching and learning process. One of the advantages
is the teaching and learning process will become more interesting and exciting. It is because it
helps students or learner to explore everything in various types of experiments. They also can
enjoy the learning process and just not imagine on what have been taught by their teachers.
Next, simulation software helps students to be more focus and extra knowledge to
interpret data from the diagrams and graphs. Besides, in the same time it also helps to increase
the level of curiosity among students and improve confidence between them and to put more
effort on that experiment.
Other than that, it also can help the teachers to teach the abstract content to the students.
It is mean that, the simulation can make the student easy to understand as they can use the
simulation and not just imagine on what have been taught by the teacher. Other advantages of
using simulations are very quick development of complex models, short learning cycles and no
programming is needed. So there will be minimal errors occurred.
STELLA also helps to save the cost because teachers do not need to provide the
apparatus and materials for the experiment. Just use the simulation software students can run out
the experiment in a short time and students also will discover new things such as different
hypothesis from the variables. STELLA also can be used in geosciences or medical field to
investigate the effect of changes without producing a physical prototype. Besides, it also can be
used to investigate situation that would be dangerous in real life.
It also encourages students to inspire doing the experiment and helps passive
students to be more active and involved in the experiment or the activity very well.
9. 9
DISADVANTAGES
However, this simulation also gives disadvantages to the students that do not have
computer or limited availability of computers. They will not have the opportunity to explore after
they have learnt in class. Their learning process will happen only in the class. In addition, this
simulation also can give a big problem to the users that do not know how to use computer.
The users need to do two things in one time, which are learning about the computer and
also learning about the simulation. So, may be the user will be lag behind the others. Besides,
many simulations require intensive pre simulation lessons preparations. So, it takes time if
students want to use the simulation in a short period.
High cost of software also include as the disadvantages of the simulation. Only the trial
one can be used by the users. But, after 30 days, it cannot be use anymore. In addition, limited
scope of applicability and also limited flexibility. This is because the variation of the topics is not
too many. Some of them may not fix with the users specific.
Next, learn these simulations models also take time so it required additional training. As
we know, not everyone has been good in IT skills. So, before use this simulations, users need
spending more time to explore how to use this software before to use it.
CONCLUSION
Simulation is a suitable medium to be used in the school because it can motivate students
in learning. Simulation motivate students by keeping them actively engaged in the deep learning
process in order to solve the problems and make decisions to make the simulation run. As the
simulation runs, it is modelling a dynamic system in which the learner is involved. Thus,
participation in simulations enables students to engage in systems by thinking and enhances their
understanding of the systems as well as the science concepts. Furthermore, students will become
more exciting and inspiring in study because most of them like to do something rather than just
hearing to something. However, finding a good simulation in teaching is quite challenging for
teachers, but if the teachers know what their students need, it can be easier for the teachers.