We may earn an affiliate commission when you visit our partners.
Course image
AD Chauhdry (AD Maths Plus Academy)

How to Become Pro in Functional Analysis: A Crash Course in Metric Space?

Read more

How to Become Pro in Functional Analysis: A Crash Course in Metric Space?

After the calculus, Functional analysis: A crash course in metric space is one of the advance course in mathematics. Moreover, Functional analysis: A crash course in metric space is actually comprises by three areas, like metric space, topology and norm space. In this course of Functional analysis: A crash course in metric space, we will understand metric space with definitions and examples. We will solve the various problems that defines the metric space. This course approximately covers all the contents that are used in metric space.

Most of the lectures are recorded on classroom whiteboard and a few lectures on tablet. It is best practiced in this course to explain the every concepts according to level of the subjects and students. Students will feel no difference between the classroom learning and online learning. It is fully tried in this course to develop the connections between the students and the instructor.

The length of this course is approximately 10 hours and all the videos has recorded by the instructor in HD mode. The videos are edited after the recording to make the more attractive and visible for the students, so that they can easily follow the method of instruction. However the instructor is fully committed to answer the questions put by the students.

The instructor accents is Asian and understandable for any English speaker.However, the non native English speaker  can opted for captions.

  • Cauchy's Schwarz and Malinowski"s Inequality

  • Open balls, closed balls and open sets

  • The concepts of neighborhood and limit points

  • Interior and exterior points

  • Convergence of a sequence in a metric space

  • Many examples and exercises along with their solutions

  •  I like those students who ask the questions in the questions answer sections. It has came to my experience that the students who ask the questions . they learn more and they have better understanding in the subject. So, you should not feel shy and you should't have any kind of hesitations to talk with your instructor.

    I will also going to starts the notes to my students on abstract algebra and by following the notes they can download the notes and they can even discuss the notes with me. The notes will be my own handwritten notes. And the notes will contains the more materials than the videos.

    Functional Analysis is usually offer in different universities in different universities around the world in mathematics department and he students of pure mathematics, they must take this course and of courses you should have maths skills to take this functional analysis.

    While taking this course I have some suggestions to my students that the must follow the following instruction while taking this course

    1. You must have one note book and a pencil to note the important concepts. Just listening is a distorted learning and this kind of learning in mathematics especially is not allowed. Ever new step in mathematics have the link with the previous concepts. So, when you will note the important things in functional analysis then you will learn ore and fast.

    2. You should't watch the course more than one hour daily. So, in this way you will complete the course in two weeks. By doing this you bind the functional analysis more accurately in your mind.

    3. You should watch this course more than 2 times and then many times as you have life time access in this course. You can repeat it on each or every years. In this way you will be super genius in fictional analysis.

    4. Must share the course concepts with your friends of mathematics and if possible then group discussion is much helpful in this way. Knowledge increases by sharing. Sharing and practicing the mathematics is only the one key to have mastery over the subject.

    5. Don;t skip any video while watching this course. Again I will say that this is distorted learning. Students have much practice by skipping the videos and I think this is most odd way by taking any online course.

    6. Must keep contact with your instructor and ask every thing about the course. What is the advantage of course and what they will get after this course. So, discussion with your course instructor is much important.

    Functional Analysis is much easy and interesting subject. The mathematical steps in functional analysis are like enjoyable and you will not make any boring situation while taking this course.

    Moreover, the feedback is much necessary when you will finish the course. The future students who will enroll in this course they will enroll on the basis of your feedback, therefore must give the feedback by writing the review or giving the stars.

    I will just say you finally that must stay healthy and increase your existing skills by joining this course functional analysis. See you in the course.

    Enroll now

    Good to know

    Know what's good
    , what to watch for
    , and possible dealbreakers
    Covers advanced concepts in mathematics, making it suitable for experienced learners in the field
    Taught by a recognized instructor in the field of mathematics, AD Chauhdry
    Offers hands-on practice through problem-solving, ensuring a deeper understanding of the concepts
    Provides a foundation for further study or research in functional analysis
    Students are expected to have a strong background in calculus and abstract algebra, which may be a barrier for some

    Save this course

    Save Functional Analysis: University Level Course in Metric Space to your list so you can find it easily later:
    Save

    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 Functional Analysis: University Level Course in Metric Space with these activities:
    Revisit notes and practice problems from previous courses related to metric spaces
    Refreshes knowledge and builds upon existing foundations.
    Show steps
    • Gather notes and materials from previous courses.
    • Review the concepts and practice solving problems.
    • Identify areas where additional support is needed.
    Review basics of topology
    Improves understanding by clearing any possibly forgotten concepts in topology.
    Browse courses on Topology
    Show steps
    • Go over lecture notes from previous topology course.
    • Review books on fundamental topology concepts.
    • Solve practice problems on basic topology.
    Read 'Metric Spaces' by E. W. Hobson
    Provides a comprehensive theoretical foundation for metric spaces.
    Show steps
    • Read through the chapters sequentially.
    • Take notes and highlight important concepts.
    • Attempt the exercises at the end of each chapter.
    Six other activities
    Expand to see all activities and additional details
    Show all nine activities
    Follow tutorials on Cauchy sequences and convergence
    Offers step-by-step guidance on specific topics within metric spaces.
    Show steps
    • Search for tutorials on Cauchy sequences and convergence.
    • Select reputable sources and follow the instructions.
    • Take notes and ask questions as needed.
    Practice solving metric space problems
    Enhances problem-solving abilities specifically for metric space concepts.
    Show steps
    • Find practice problems online or in textbooks.
    • Attempt to solve the problems independently.
    • Check solutions and identify areas for improvement
    Create visual representation of a metric space
    Encourages deeper understanding by visualizing abstract concepts.
    Browse courses on Diagrams
    Show steps
    • Choose a specific metric space to represent.
    • Decide on an appropriate visual representation (e.g., graph, diagram).
    • Create the visual representation using software or by hand.
    • Analyze the visual representation and identify key features.
    Attend a conference or workshop on metric space theory
    Provides opportunities to connect with experts and learn about advancements.
    Browse courses on Topology
    Show steps
    • Research upcoming conferences or workshops.
    • Register for an event that aligns with interests.
    • Attend the event and actively participate in discussions.
    Tutor students in metric space concepts
    Reinforces understanding by explaining concepts to others.
    Show steps
    • Offer tutoring services to fellow students or online platforms.
    • Prepare lesson plans and materials.
    • Meet with students and guide them through concepts.
    • Provide feedback and support.
    Develop a presentation on a specific metric space application
    Encourages practical application and deeper understanding of real-world relevance.
    Browse courses on Real-World Examples
    Show steps
    • Choose a specific application of metric spaces.
    • Research and gather relevant information.
    • Create a presentation outlining the application and its benefits.

    Career center

    Learners who complete Functional Analysis: University Level Course in Metric Space will develop knowledge and skills that may be useful to these careers:
    Quantitative Analyst
    Quantitative Analysts, or "Quants," as they are often called, build mathematical models to help financial firms make prudent investment decisions. The models they create may predict risk, price volatility, or the behavior of companies or entire markets. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of mathematical models for financial markets.
    Data Scientist
    Data Scientists use their knowledge of mathematics, statistics, and computer science to extract meaningful insights from data. This data can come from a variety of sources, such as social media, customer surveys, or financial transactions. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of algorithms for data analysis and machine learning.
    Financial Analyst
    Financial Analysts use their knowledge of mathematics, statistics, and finance to evaluate the financial health of companies and make investment recommendations. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of mathematical models for financial markets.
    Operations Research Analyst
    Operations Research Analysts use their knowledge of mathematics, statistics, and computer science to improve the efficiency of business operations. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of mathematical models for optimizing business processes.
    Actuary
    Actuaries use their knowledge of mathematics, statistics, and finance to assess risk and develop insurance policies. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of mathematical models for insurance risk.
    Statistician
    Statisticians use their knowledge of mathematics, statistics, and computer science to collect, analyze, and interpret data. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of statistical models for data analysis.
    Market Researcher
    Market Researchers use their knowledge of mathematics, statistics, and marketing to understand consumer behavior and develop marketing strategies. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of mathematical models for market research.
    Epidemiologist
    Epidemiologists use their knowledge of mathematics, statistics, and public health to investigate the causes and spread of disease. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of mathematical models for disease transmission.
    Biostatistician
    Biostatisticians use their knowledge of mathematics, statistics, and biology to design and analyze studies that investigate the effects of medical treatments and interventions. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of statistical models for medical research.
    Software Engineer
    Software Engineers design, develop, and maintain software applications. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of algorithms for software engineering.
    Computer Scientist
    Computer Scientists conduct research in the field of computer science. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of new computer science theories and algorithms.
    Economist
    Economists study the production, distribution, and consumption of goods and services. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of mathematical models for economic systems.
    Physicist
    Physicists study the laws of nature. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of mathematical models for physical systems.
    Mathematician
    Mathematicians conduct research in the field of mathematics. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of new mathematical theories and proofs.
    Professor
    Professors teach and conduct research in their field of expertise. The course "Functional Analysis: University Level Course in Metric Space" may be useful in this field. The course provides an introduction to metric spaces, which are mathematical structures that can be used to model a wide variety of real-world phenomena. This knowledge can be applied to the development of new teaching materials and research projects.

    Reading list

    We've selected 12 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 Functional Analysis: University Level Course in Metric Space.
    This textbook classic introduction to functional analysis, providing a strong foundation for further study in the subject.
    Good reference on advanced topics in functional analysis including the Sobolev spaces used when solving partial differential equations.
    This textbook is written in a clear and concise style, making it suitable for both self-study and classroom use.
    Contains a large collection of problems in real analysis, including many problems related to metric spaces.
    Standard reference when studying topology in mathematics.
    Contains a large collection of counterexamples in topology that can be helpful for students to understand the subtleties of the subject.
    This textbook is often used as a core textbook for undergraduate courses in topology.
    This textbook concise introduction to both analysis and topology, making it a suitable companion to a course in metric spaces.
    A historical and influential book detailing metric space developments from the late 19th to early 20th century.

    Share

    Help others find this course page by sharing it with your friends and followers:

    Similar courses

    Here are nine courses similar to Functional Analysis: University Level Course in Metric Space.
    Our mission

    OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

    Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

    Find this site helpful? Tell a friend about us.

    Affiliate disclosure

    We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

    Your purchases help us maintain our catalog and keep our servers humming without ads.

    Thank you for supporting OpenCourser.

    © 2016 - 2024 OpenCourser