How do I teach university level mathematics to myself? [closed]

Course Queries Syllabus Queries 2 years ago

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Posted on 16 Aug 2022, this text provides information on Syllabus Queries related to Course Queries. Please note that while accuracy is prioritized, the data presented might not be entirely correct or up-to-date. This information is offered for general knowledge and informational purposes only, and should not be considered as a substitute for professional advice.

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manpreet Tuteehub forum best answer Best Answer 2 years ago


So here I go, I have enrolled myself in maths major this year but due to less marks in SSC I couldn't secure admission in a good university so I have to take admission wherever I could get with my marks. The problems is that teachers here are not qualified enough to teach mathematics properly and they teach horrible. I feel like studying on my would be much better than that. What makes the situation much worse is that most of the students are not at all interested in learning. They abhor it. But I'm interested in learning mathematics. In fact I love mathematics more than anything else in this world. But I don't know what is the best way to study higher level mathematics on my own.

So here are my doubts:

  1. Is it possible to study university level mathematics on my own? If yes then how and what are resources that I will need? What are the best resources available on the web?

  2. Will I be as proficient in mathematics as the students from top universities who are taught by great teachers?

  3. What is the best piece of advice you will give me if I want to get into the field of coding/programming after completing my mathematics major?

  4. How do I develop myself overall during these three years in order to become a top notch mathematics student?

I'm an average learner and love doing mathematics.

The syllabus that I have to cover is :

  1. Calculus 2. Elementary Algebra 3. Analytical Geometry 4. Linear and abstract algebra 5. Differential calculus 6. Multivariate Calculus 7. Real and Numerical analysis 8. Probability and Statistics 8. Linear Programming 9. Discrete mathematics and 10. Mathematical modelling

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