Not too easy. Not too difficult.
Course Overview:
Broad with a lot of practice is needed together algebraic problem solving skills and arithmetic's previous knowledge is required.
Course highlights:
provides critical thinking and logic, theoretic operations and computations of statistical data. I learnt how to interpret graphs, charts, histograms organize and represent data. how to apply and compute probability and connect statistical data or survey . Able to understand role of umbers prediction analysis approximation, quantities, distributions, estimations errors, precision and accurately interpreting results. acquired, synthesized information and creatively use that information to solving problems. Able to connect linear algebra and binomial probability applications in real world.
Hours per week:
9-11 hours
Advice for students:
learn how to learn from different sources. start early on homework sets. don't get stuck on one idea see the big picture. Time sacrifice practice on own during free time. try learn things well the first time around and build solid foundation. find out something you like about mathematics and focus on that it will give interest and more liking. always understand concepts instead of memorizing. The point is nobody was born mathematician so be positive and put the intention and passion like it and you will succeed in this class.
Not too easy. Not too difficult.
Course Overview:
While he thought he was being very helpful, he was hard to understand and would get extremely frustrated with students when they said they didn't understand what he was explaining.
Course highlights:
I feel like I learned a lot about statistics and it helped me work on my fraction and graph skills.
Hours per week:
3-5 hours
Advice for students:
There is A LOT of homework so be prepared to do problems online.