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Ashish Dikshit

Sometimes the visual understanding of a mathematical problem is quite helpful in solving it fast and correctly. Play with graph is an attempt to ease the minds of all mathematics lovers and engineering aspirants who wish to solve the tricky and knotty mathematics problem involving functional approach. This project will help you make intuitive connections between the graphs of the function in the problem with the exact solution of the problem.

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Sometimes the visual understanding of a mathematical problem is quite helpful in solving it fast and correctly. Play with graph is an attempt to ease the minds of all mathematics lovers and engineering aspirants who wish to solve the tricky and knotty mathematics problem involving functional approach. This project will help you make intuitive connections between the graphs of the function in the problem with the exact solution of the problem.

The project starts with plotting basic functions ,labelling & fillings and later takes up the topic such as curve filling 'below' and 'between' the two curves ,plotting of sample points where the curve changes quickly, ranges where function becomes non real, plotting curve where there are discontinuities and finally labelling and legending of illustrative curves.

It is highly recommended to all those who sincerely desire to master problem solving in mathematics.

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What's inside

Syllabus

Project Overview
Sometimes the visual understanding of a mathematical problem is quite helpful in solving it fast and correctly. Play with graph is an attempt to ease the minds of all mathematics lovers and engineering aspirants who wish to solve the tricky and knotty mathematics problem involving functional approach. This project will help you make intuitive connections between the graphs of the function in the problem with the exact solution of the problem.The project starts with plotting basic functions ,labelling & fillings and later takes up the topic such as curve filling 'below' and 'between' the two curves ,plotting of sample points where function is changing quickly, ranges where function becomes non real, plotting curve where there are discontinuities and finally labelling and legending of illustrative curves.It is highly recommended to all those who sincerely desire to master problem solving in mathematics.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for those who want to delve into the functional approach to solve mathematical problems
This course provides an interactive and visual approach to understanding mathematical concepts
Covers a range of topics from basic functions to complex curves

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Reviews summary

Mathematica graphing course

According to students, this Mathematica graphing course provides a comprehensive education on the subject. It is well received, with students particularly praising its engaging assignments and the instructor's expertise. While one student was critical of the course and called it a scam, the overall consensus among learners is largely positive.
Instructor is knowledgeable
Course has engaging assignments
"Great assignments"
Course is a scam
"This is a scam"
"You can choose to read Mathematica Official Reference ... instead of taking this whole junk of video."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Play with Graphs using Wolfram Mathematica with these activities:
Review basic concepts of algebra and pre-calculus
Strengthen your foundation by reviewing fundamental algebraic and pre-calculus concepts, such as functions, equations, and trigonometry, to enhance your understanding of graph theory.
Browse courses on Algebra
Show steps
  • Go over your notes or textbooks from previous algebra and pre-calculus courses.
  • Practice solving basic algebraic equations and inequalities.
  • Review trigonometric functions and identities.
Study the basics of graph theory
Enhance your comprehension of the fundamental concepts, theorems, and applications in graph theory to lay a solid foundation for the course.
Show steps
  • Enroll in an introductory tutorial on graph theory.
  • Review key concepts such as nodes, edges, degrees, and connectivity.
  • Explore different types of graphs, including directed and undirected, weighted and unweighted.
Review the textbook: Graph Theory by John Adrian Bondy and U.S.R. Murty
Deepen your understanding of graph theory by exploring an authoritative textbook that provides a comprehensive overview and advanced insights into the subject.
Show steps
  • Obtain the textbook and review the table of contents.
  • Focus on sections aligned with course topics.
  • Read and summarize key concepts, theorems, and examples.
Three other activities
Expand to see all activities and additional details
Show all six activities
Participate in a study group to discuss course material
Enhance your understanding of course material by engaging in collaborative discussions, exchanging ideas, and providing support to fellow students.
Show steps
  • Join or form a study group with classmates.
  • Regularly meet to discuss assigned readings, concepts, and problem sets.
  • Actively participate in discussions, share insights, and ask clarifying questions.
Attend a graph theory seminar or workshop
Expand your knowledge and network by attending seminars or workshops focused on graph theory, where you can learn from experts and engage with professionals in the field.
Show steps
  • Research upcoming graph theory seminars or workshops.
  • Register and attend the event.
  • Actively participate in discussions, ask questions, and connect with speakers and attendees.
Solve practice problems on graphing functions
Strengthen your analytical skills by practicing graphing functions with various techniques, such as plotting points, identifying intercepts, and using transformations.
Show steps
  • Find an online platform or textbook with a collection of practice problems.
  • Choose problems from different sections of the course material and attempt to solve them independently.
  • Verify your solutions using provided answer keys or seek guidance from classmates or instructors.

Career center

Learners who complete Play with Graphs using Wolfram Mathematica will develop knowledge and skills that may be useful to these careers:
Mathematician
Mathematicians use their knowledge of mathematics to solve problems and develop new mathematical theories. This course can help Mathematicians visualize and understand complex mathematical problems, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of mathematical models.
Statistician
Statisticians use their knowledge of statistics to collect, analyze, and interpret data. This course can help Statisticians visualize and understand complex statistical models, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of statistical data.
Actuary
Actuaries use mathematical and statistical models to assess risk and uncertainty. This course can help Actuaries visualize and understand complex risk models, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of risk data.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course can help Quantitative Analysts visualize and understand complex financial models, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of financial data.
Risk Analyst
Risk Analysts use their knowledge of risk management to identify, assess, and mitigate risks. This course can help Risk Analysts visualize and understand complex risk models, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of risk data.
Data Scientist
Data Scientists use their knowledge of programming, mathematics, and statistics to extract meaningful insights from data. This course can help Data Scientists visualize and understand complex mathematical problems, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of data.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to improve the efficiency of business operations. This course can help Operations Research Analysts visualize and understand complex business models, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of business data.
Data Analyst
Data Analysts use their knowledge of data analysis techniques to extract meaningful insights from data. This course can help Data Analysts visualize and understand complex data, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of data.
Financial Analyst
Financial Analysts use their knowledge of finance and economics to analyze financial data and make investment decisions. This course can help Financial Analysts visualize and understand complex financial models, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of financial data.
Investment Analyst
Investment Analysts use their knowledge of finance and economics to analyze investment opportunities and make investment recommendations. This course can help Investment Analysts visualize and understand complex financial models, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of investment data.
Underwriter
Underwriters use their knowledge of insurance and risk management to assess the risk of insuring a particular individual or business. This course can help Underwriters visualize and understand complex insurance models, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of insurance data.
Software Engineer
Software Engineers use their knowledge of programming and mathematics to design and develop software applications. This course can help Software Engineers visualize and understand complex software algorithms, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of software code.
Computer Scientist
Computer Scientists use their knowledge of mathematics and computer science to design and develop computer systems. This course can help Computer Scientists visualize and understand complex computer algorithms, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of computer systems.
Teacher
Teachers use their knowledge of a subject matter to teach students. This course can help Teachers visualize and understand complex mathematical concepts, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of mathematical functions.
Professor
Professors use their knowledge of a subject matter to teach students and conduct research. This course can help Professors visualize and understand complex mathematical concepts, which is a key skill for success in this role. The course covers topics such as plotting basic functions, labelling & fillings, and plotting sample points where the function is changing quickly, all of which are important for understanding the behavior of mathematical functions.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Play with Graphs using Wolfram Mathematica.
Standard textbook for calculus courses and provides a comprehensive overview of the subject. It covers all the topics that are relevant to the course, including functions, limits, derivatives, integrals, and applications.
Provides a comprehensive overview of the mathematical methods that are used in engineering. It covers topics such as linear algebra, differential equations, and numerical methods.
Provides a comprehensive overview of the mathematical methods that are used in physics and engineering. It covers topics such as linear algebra, differential equations, and Fourier analysis.
Provides a comprehensive overview of the partial differential equations that are used in science and engineering. It covers topics such as the heat equation, the wave equation, and the Laplace equation.
Provides a comprehensive overview of graph theory. It covers topics such as graph coloring, graph connectivity, and graph algorithms.
Provides a comprehensive overview of network flows. It covers topics such as the maximum flow problem, the minimum cost flow problem, and the shortest path problem.
Provides a comprehensive overview of numerical analysis. It covers topics such as numerical linear algebra, numerical integration, and numerical differentiation.
Provides a comprehensive overview of mathematical statistics. It covers topics such as probability theory, statistical inference, and regression analysis.
Provides a comprehensive overview of machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive overview of computer vision. It covers topics such as image processing, object recognition, and scene understanding.
Provides a comprehensive overview of natural language processing. It covers topics such as part-of-speech tagging, parsing, and semantics.
Provides a comprehensive overview of robotics. It covers topics such as kinematics, dynamics, and control.

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