Discussion Overview
The discussion centers around the question of how much mathematics a participant should review or repeat before returning to school for a master's degree in epidemiology or biostatistics. The scope includes considerations of foundational math skills, self-study options, and the relevance of various math courses to the intended graduate studies.
Discussion Character
- Exploratory
- Technical explanation
- Debate/contested
- Homework-related
Main Points Raised
- Some participants suggest starting with an introductory statistics class to refresh algebra skills while learning basic statistics.
- Others recommend knowing calculus and optimization techniques, including Calc I, II, and III, as well as applied linear algebra for a solid foundation in statistics.
- A few participants mention the option of taking a placement exam to determine the appropriate starting level for math courses.
- One participant shares their experience of self-studying calculus using a workbook and emphasizes that prior knowledge may come back more easily than expected.
- Another participant suggests using A' level textbooks for a structured review of math concepts, from basic algebra to calculus.
- Some participants recommend checking the college handbook for required math courses and considering self-study resources like Khan Academy to refresh knowledge.
- Concerns are raised about the desire to thoroughly understand the material rather than just getting by, highlighting the importance of a solid grasp of foundational concepts.
Areas of Agreement / Disagreement
Participants express a range of opinions on whether starting from scratch is necessary, with some advocating for a review of basic courses while others believe that a more targeted approach could suffice. No consensus is reached on the best path forward.
Contextual Notes
Limitations include varying personal experiences with math retention, differing opinions on the necessity of foundational courses, and the potential for placement exams to influence course selection.
Who May Find This Useful
Individuals considering a return to higher education in fields requiring strong mathematical skills, particularly in public health, epidemiology, or biostatistics, may find this discussion relevant.