Biology is designed for multi-semester biology courses for science majors. It is grounded on an evolutionary basis and includes exciting features that highlight careers in the biological sciences and everyday applications of the concepts at hand. To meet the needs of today’s instructors and students, some content has been strategically condensed while maintaining the overall scope and coverage of traditional texts for this course. Instructors can customize the book, adapting it to the approach that works best in their classroom. Biology also includes an innovative art program that incorporates critical thinking and clicker questions to help students understand—and apply—key concepts.

By the end of this section, you will be able to:Define population genetics and describe how population genetics is used in the study of the evolution of populationsDefine the Hardy-Weinberg principle and discuss its importance

TED Studies, created in collaboration with Wiley, are curated video collections — supplemented by rich educational materials — for students, educators and self-guided learners. in What Makes Us Human?, TED speakers tackle humanity’s oldest and deepest questions by playing with primates, excavating ancient remains, and DNA-mapping family trees. Explore how the next chapters of our own evolutionary story will be written thanks to new technologies that trace our origin. 

An integrated course stressing the principles of biology. Life processes are examined primarily at the organismal and population levels. Intended for students majoring in biology or for non-majors who wish to take advanced biology courses.

This Canvas module is an active learning step-by-step tutorial on solving a Hardy-Weinberg problem.  In the tutorial, students take two quizzes (one at the beginning and one at the end) and a scaffolded activity.

The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.
7.014 focuses on the application of these fundamental principles, toward an understanding of microorganisms as geochemical agents responsible for the evolution and renewal of the biosphere and of their role in human health and disease.
Acknowledgements
The study materials, problem sets, and quiz materials used during Spring 2005 for 7.014 include contributions from past instructors, teaching assistants, and other members of the MIT Biology Department affiliated with course 7.014. Since the following works have evolved over a period of many years, no single source can be attributed.

This course presents a challenging multi-dimensional perspective on the causes of human disease and mortality. The course focuses on analyses of major causes of mortality in the US since 1900: cancer, cardiovascular and cerebrovascular diseases, diabetes, and infectious diseases. Students create analytical models to derive estimates for historically variant population risk factors and physiological rate parameters, and conduct analyses of familial data to separately estimate inherited and environmental risks. The course evaluates the basic population genetics of dominant, recessive and non-deleterious inherited risk factors.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"The laboratory and computational tools available to microbiome researchers have greatly improved in recent years, especially in assembling genomes from complex communities. Most of the research to date has focused on macrodiversity, which is classical ecology metrics like population abundance, α-diversity, and β-diversity. But microdiversity — population genetics metrics like single nucleotide polymorphisms (SNPs) and selective pressures — is important to consider. There are several technical and accessibility issues that hinder widespread analysis of microdiversity in metagenomic datasets, but the recently developed open-access software tool MetaPop is designed to close this gap. MetaPop provides a user-friendly interface to analyze both the macro- and microdiversity of microbial and viral community metagenomes. For small datasets, MetaPop can be run on a laptop, making it a practical choice for non-bioinformaticians or labs without access to high-powered computing..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

In this episode of Crash Course Biology, we’ll learn about the ways population genetics reveals how groups of living things evolve—by comparing genetic similarities and differences. We’ll discover the most genetically diverse species of all (hint: it’s not us), find out why “race” isn’t the biologically valid category we’ve made it out to be, and learn there’s much more in our DNA that we share than that sets us apart.

Chapters:
Population Genetics
Genetic Diversity
Levels of Genetic Diversity
Melanin Variation
Clines & Ancestry
Race & Society
Review & Credits
Credits

This course provides a foundation in the following four areas: evolutionary and population genetics; comparative genomics; structural genomics and proteomics; and functional genomics and regulation.

A Hardy-Weinberg based population genetics simulator. This program assumes a single gene and two alleles. Simulation of allele frequency changes similar to Felsenstein's Simul8 or PopG. Simulates changes in allele frequency based on violations of assumptions of Hardy Weinberg. User may vary starting allele frequency, population size, genotypic fitness, mutation and migration rates and bottleneck population size. Allele frequencies for p and q are graphed for up to 5 populations. When a single population is simulated both allele frequency and genotype frequencies are graphed.