Not too easy. Not too difficult.
Course Overview:
I would recommend this course because it gives you a better understanding of how to use formulas and numbers to towards statistical issues we face on a daily level.
Course highlights:
Topics include mathematics of finance, probability and counting, descriptive statistics, and basic linear regression. Estimate a reasonable answer to a problem Judge whether an answer seems correct Collect, organize, and describe qualitative and quantitative data (Integration, Application, and Reflection and Communication) Solve a variety of finance problems (Knowledge of Human Cultures and the Physical and Natural World) Distinguish theoretical and empirical probabilities Use spreadsheet technology to: Graph data sets Calculate descriptive statistics Create a loan payment schedule
Hours per week:
9-11 hours
Advice for students:
Pay close attention to the lecture notes and study resources, that is where most of the test questions come from, also review all homework questions.
This class was tough.
Course Overview:
My advice is definitely attend every online webinar. They go through the homework one by one. If needed, don't hesitate and use a tutor. They are awesome and it really, really makes a huge difference.
Course highlights:
Highlights were the ample opportunity for tutoring and extra help.
Hours per week:
12+ hours
Advice for students:
Make sure you take it when you can dedicate a lot of time to it.
Not too easy. Not too difficult.
Course Overview:
Math can be a challenging subject for a lot of people but is required for most degrees. The webinars that class offered were great and the professor was very helpful.
Course highlights:
I learned to believe in myself I'm one who fears math, but the class was focused on the students learning the material, that contributed to me passing the class.
Hours per week:
12+ hours
Advice for students:
Use the resources that the class has to offer and communicate with your classmates and professor. The support is out there if you seek it.