Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Evolution is a stochastic process, and given the amount of data generated in biological sciences today, there is a pressing need for people with a quantitative background to understand and contribute toward the understanding of evolution, leading to better interaction between stakeholders. This book equips engineers and physical scientists to make biologically relevant quantitative representations of evolutionary processes. The concepts of evolution are introduced via semi-quantitative treatment with graphical illustrations and explain how evolution experiments are conducted in a laboratory.
Features:
• Discusses background, concepts of evolutionary biology, and experimental evolution.
• Helps readers develop a geometric view of evolutionary processes.
• Covers both biological and mathematical foundations in equal measure.
• Illustrates coding exercises supported by pertinent MATLAB codes for the provided problems.
• Includes homework problems and a solutions manual.
This book is aimed at senior undergraduate and graduate students in engineering and physical sciences.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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