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It's important for us IT students to understand mathematical methods as we work with data a lot, and understanding quantitative techniques makes it easier for us to successfully evaluate and comprehend data. Additionally, having knowledge of quantitative techniques can improve our ability to solve problems and make decisions.

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I think it can be done by collecting data using computational, statistical, and mathematical techniques and making sure the data is pertinent and it has quality. And to use the acquired data to address issues or problems and analyze the outcome.

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Simulations simulate the possible outcomes of certain events or decisions, which can be used for assessing problems or systems. Also, simulation is a graphical representation of many scenarios that improves the communication between information and users, helping them to understand difficult and complex system behavior.

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How can simulation serve as a good tool for describing systems?

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How can simulation serve as a good tool for describing systems?

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I understand simulation as a tool that recreates real-world scenarios in a controlled environment. This allows researchers to analyze, understand, and predict system behaviour. This will also help the researcher to explore different scenarios, test hypotheses, and gain valuable insights into the underlying mechanisms driving the system. - M.J. Napala

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The basis of quantitative modeling nor any kind of research is by formulating a problem. What follows is the process of solving it. Researchers uses mathematics and statistics as methods to analyze data and develop models that represent complexities of their respective fields. Through this, researchers will arrive to meaningful conclusions and advance knowledge in their domains of study. - M.J. Napala

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Why do IT students must learn Quantitative Techniques?

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Why do IT students must learn Quantitative Techniques?

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I believe that learning Quantitative Techniques will help us understand that numbers tell an important reality that we tend to neglect. With the data it provides, the reality is further improved with the truth that answers the purpose of what we want to know (or the study). The knowledge, the truth, and its union. I personally think that such pursuit is beautiful. - M.J. Napala

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Why do IT students must learn quantitative techniques

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Why do IT students must learn quantitative techniques

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In the IT department, these techniques and skills that we learn can help us improve our analyzing and solving expertise, especially regarding data. Since IT students are involve in mathematical and statistical analysis this would enhance our skills to know the solutions from the complex problems.

-Glorilyn Villapando

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You need to define the problem and variables so that you can understand the possible solutions. By collecting, interpreting, and analyzing the data, you can easily identify the suitable quantitative model involved in finding the result of the problem

-Glorilyn Villapando

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How can simulation serve as a good tool for describing systems?

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How can simulation serve as a good tool for describing systems?

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It can help us see the different outcomes or behaviors of different simulations of a certain problem. Since simulation provides accuracy it makes it easier to come up with the best solution. Also, it saves us time as it is significantly faster than the actual experiments.

-Glorilyn Villapando

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Why do IT students must learn Quantitative Techniques?

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Why do IT students must learn Quantitative Techniques?

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One of the main reasons IT students should take the initiative to learn quantitative techniques is to gain an advantage in decision-making. Being able to evaluate varied methods and disciplines can reveal important information in whichever field you are in. With the ability to comprehend research models, navigating through complex systems will be tackled with an informed mind accompanied by logical and objective analysis rather than a subjective judgement.

🔗Reyes, Macy

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Why do IT students must learn Quantitative Techniques?

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Why do IT students must learn Quantitative Techniques?

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Quantitative chops are central for IT scholars as they give a structured approach to problem- working, handling large datasets, and making sense of information. They enhance system effectiveness through optimization, trouble analysis, quality assurance, and design operations. Quantitative chops are essential for disquisition, development, design planning, and communication in the fleetly evolving field of Information Technology.

- De Los Santos, Jean Arabela A.

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Quantitative modeling is a decisive decision- making process that uses fine and statistical ways to represent real- world marvels and make prognostications. It involves defining the problem, relating crucial variables, collecting data, developing a thesis, opting applicable ways, validating the model, refining and streamlining it, and communicating findings to stakeholders for informed decision timber. Success relies on data quality, fashion selection, and interpretation.

- De Los Santos, Jean Arabela A.

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Quantitative modeling is a way to apply mathematical techniques to simplify problems faced in different fields in various career paths. This is an innovative method to improve and refine an entity's approach to achieve a solution through user input and analytical results. Additionally, this will also help acquire new abilities to stay within the current advancements in society.

🔗Reyes, Macy

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How can simulation serve as a good tool for describing systems?

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How can simulation serve as a good tool for describing systems?

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Simulation is a valuable tool for describing systems because it provides a dynamic, threat-free terrain for trial, enables script analysis, helps in understanding complex relations, supports optimization sweats, and serves as a important educational and decision making aid.

- De Los Santos, Jean Arabela A.

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How can simulation serve as a good tool for describing systems?

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How can simulation serve as a good tool for describing systems?

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Simulations are very helpful for describing systems. Simulations can be used to evaluate an existing system's performance or forecast future work for a proposed system. As you learn more about the functions of the model, simulations are able to help by optimizing the process as you gain more insight into its functions.

🔗Reyes, Macy

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Why do IT students must learn Quantitative Techniques

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Why do IT students must learn Quantitative Techniques

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First and foremost, I think that IT students must learn quantitative techniques to enhance their decision making skills, it helps students make their decision based on the data that was gathered. Additionally, they can easily enhance their problem-solving skills. Students can use these skills to solve complex problems, where it will require students to think logically.

- Lao, Reginald G.

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Quantitative modeling can be done by firstly stating the problem. This will be followed by identifying the variables such as price, expenditure, etc. After the variables have been identified, it is time to gather and analyze the data in order to select an appropriate modeling approach. Consequently, the modeling approach is based on the problem that was defined and the data gathered. It will then lead to the building and validating of the model, which the resulted generated can be interpreted. The findings are presented in order to gather feedback which will improve the overall model.

- Lao, Reginald G.

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How can simulation serve as a good tool for describing systems?

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How can simulation serve as a good tool for describing systems?

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Simulation can serve as a good tool for describing systems because it allows decision-makers to create, explore, understand, and evaluate complex systems. All the simulations will be tested to validate hypotheses by comparing the outcomes with observed data. Simulation can support decision-making since it produces potential outcomes of different decisions or paths, which will help optimize the designs of the system and give hands-on training for the future generations.

- Lao, Reginald G.

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IT students have the critical thinking and problem-solving abilities needed to succeed in their activity. Plenty of data are managed by IT systems, and estimating patterns or results for the future is useful. IT students should be familiar with mathematical methods to evaluate the security, performance, and stability of software and systems.  

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IT students have the critical thinking and problem-solving abilities needed to succeed in their activity. Plenty of data are managed by IT systems, and estimating patterns or results for the future is useful. IT students should be familiar with mathematical methods to evaluate the security, performance, and stability of software and systems.  

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-Castillo, Rafael T.

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In quantitative modeling, a problem exists, suitable data are found, a modeling strategy is selected, mathematical equations are created, data is gathered, the model is put into practice, results are validated, conclusions are interpreted, adjustments are made as necessary, and results are reported.

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In quantitative modeling, a problem exists, suitable data are found, a modeling strategy is selected, mathematical equations are created, data is gathered, the model is put into practice, results are validated, conclusions are interpreted, adjustments are made as necessary, and results are reported.

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-Castillo, Rafael T.

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I think simulation is a useful tool for system design because it makes it possible to dynamically model and analyze intricate relationships, experiment with different scenarios, and get insights into the behavior and performance of systems in a safe and controlled setting.

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I think simulation is a useful tool for system design because it makes it possible to dynamically model and analyze intricate relationships, experiment with different scenarios, and get insights into the behavior and performance of systems in a safe and controlled setting.

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-Castillo, Rafael T.

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IT students must learn Quantitative Techniques in order to systematically handle and understand data. With the help of these techniques, it is much easier to analyze, solve problems and make decisions to meet the need objectives or goals.

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Quantitative Modeling can be done using mathematical representations or concepts that organize data to make it understandable. Quantitative Modeling brings data to life, where it lets us see the precise information, movement, readings, and other important things that we can get from it.

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Simulation serves as a good tool for describing systems since it may display a wide range of structures, frameworks, and sequences to define and project a system’s interconnectivity and networks.

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Why do IT students must learn Quantitative Techniques?

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Why do IT students must learn Quantitative Techniques?

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As IT students we should be analytical, therefore we should develop our strengths and competencies in analytical thinking which include data analysis. Quantitative techniques will help us you understand data, its behavior, summarize and interpret the results.

-Cruz, Avrielle D. (2ITMAGD01)

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Quantitative modelling is defined as the practice of organizing and interpreting data sets with mathematical formulas to identify trends in the broader markets. It involves using statistical equations to predict or estimate the impact of one variable to another.  In order to create a quantitative model, the following steps are:

1.) Identify the problem

2.) Collect and analyze data

3.) Develop and test models

4.) Implement and validate solutions

5.) Communicate and present results

6.) Review and improve methods

-Cruz, Avrielle D. (2ITMAGD01)

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How can simulation serve as a good tool for describing systems?

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How can simulation serve as a good tool for describing systems?

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A simulation is a good tool that will help us replicate processes within a simulation environment, allowing for a deeper analysis and testing without much risks.  During simulation process, we can do a “what-if” analysis. In here, we can create a baseline model, change variables and safely check the outcome of the simulation. This process will provide us more valuable insights for optimizing performance and predicting the outcomes.

-Cruz, Avrielle D. (2ITMAGD01)

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Why do IT students must learn Quantitative Techniques?

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Why do IT students must learn Quantitative Techniques?

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⁤Quantitative techniques are important for IT students to learn since understanding and applying logical principles make them easier to understand. ⁤⁤These methods are significant for data analysis, well-informed decision-making, and system optimization in technology. - Timothy John E. Chua

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Quantitative modeling is used to create mathematical models of real-world scenarios to identify trends, forecast results, or improve solutions. The first steps involve identifying the issue, gathering information, and choosing relevant models. Afterward, software or programming languages are used to construct these models to evaluate the data and produce insights. Ultimately, the findings are analyzed to formulate well-informed judgments or suggestions. ⁦ - Timothy John E. Chua

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How can simulation serve as a good tool for describing systems?

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How can simulation serve as a good tool for describing systems?

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Since simulation eliminates the need for actual physical experiments, it is an effective tool for characterizing systems. ⁤⁤It facilitates comprehension of the interplay between multiple components, forecasts the system's behavior under various circumstances, and spots any problems before they arise in the actual world. Simulation is a valuable tool for explaining systems because it allows us to imitate real-world events without conducting physical tests. This makes building, testing, and upgrading systems easier, especially in complicated environments where real-world testing is difficult or expensive. - Timothy John E. Chua

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As an IT student we must learn Quantitative Techniques because it helps us make sense of data and solve real-world problems using numbers. It's like the superhero toolkit for understanding and analyzing information, making informed decisions, and showing off those impressive problem-solving skills in the tech world. Plus, employers love it when you can bring some serious data-driven magic to the table

-Pulgar Pauline P.

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Quantitative modeling is like using math and stats to create a recipe for understanding and solving real-world problems. It helps us look at complex situations, predict what might happen, and make smart decisions based on numbers. It's basically a superhero tool for making tricky things simpler and getting the best outcomes

-Pulgar Pauline P.

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Simulation is like a computerized play area where we imitate realworld stuff. It lets us test out different situations and see how things act without actually doing them for real. It's a cool tool that helps us figure out how complex systems work

-Pulgar Pauline P.

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Why do IT students must learn Quantitative Techniques?

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Why do IT students must learn Quantitative Techniques?

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IT students and Quantitative Techniques is foundational to the advancement of technology. As IT continues to evolve, the integration of quantitative methodologies becomes increasingly essential. This symbiotic relationship not only fortifies the analytical capabilities of IT professionals but also propels the industry towards greater heights of innovation, efficiency, and informed decision-making.