Most of the major categories of adaptive behavior can be seen in …
Most of the major categories of adaptive behavior can be seen in all animals. This course begins with the evolution of behavior, the driver of nervous system evolution, reviewed using concepts developed in ethology, sociobiology, other comparative studies, and in studies of brain evolution. The roles of various types of plasticity are considered, as well as foraging and feeding, defensive and aggressive behavior, courtship and reproduction, migration and navigation, social activities and communication, with contributions of inherited patterns and cognitive abilities. Both field and laboratory based studies are reviewed; and finally, human behavior is considered within the context of primate studies.
***LOGIN REQUIRED*** In the Animal Science course, students study large, small, and …
***LOGIN REQUIRED*** In the Animal Science course, students study large, small, and specialty animals. Students explore the necessary elements--such as diet, genetics, habitat, and behavior--to create humane, ecologically and economically sustainable animal production systems.
The lethal poison Ricin (best known as a weapon of bioterrorism), Diphtheria …
The lethal poison Ricin (best known as a weapon of bioterrorism), Diphtheria toxin (the causative agent of a highly contagious bacterial disease), and the widely used antibiotic tetracycline have one thing in common: They specifically target the cell's translational apparatus and disrupt protein synthesis. In this course, we will explore the mechanisms of action of toxins and antibiotics, their roles in everyday medicine, and the emergence and spread of drug resistance. We will also discuss the identification of new drug targets and how we can manipulate the protein synthesis machinery to provide powerful tools for protein engineering and potential new treatments for patients with devastating diseases, such as cystic fibrosis and muscular dystrophy. This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in teaching.
Applied ecology is a framework for the application of knowledge about ecosystems …
Applied ecology is a framework for the application of knowledge about ecosystems so that actions can be taken to create a better balance and harmony between people and nature in order to reduce human impact on other beings and their habitats.
This 12 session course is designed for the beginning or novice archer …
This 12 session course is designed for the beginning or novice archer and uses recurve indoor target bows and equipment. The purpose of the course is to introduce students to the basic techniques of indoor target archery emphasizing the care and use of equipment, range safety, stance and shooting techniques, scoring and competition.
Grade level: graduate students, advanced undergrads, persons with analyzed research results Course …
Grade level: graduate students, advanced undergrads, persons with analyzed research results
Course length: 1 semester, 4-6 months
Objective: This course empowers scientists to engage with their own data, each other, and the public through art. Through collective brainstorming, prototyping, and feedback from professional artists, students will create a project that expresses their own research through any artistic medium of their choice. The course typically culminates in a public art exhibition where students interact with a general audience to discuss their research, art, and what it means to be a scientist.
The Syllabus for Bio. 013, Writing in the Sciences - Evolutionary Themes, …
The Syllabus for Bio. 013, Writing in the Sciences - Evolutionary Themes, is a College Writing 2 course that develops student skill in science writing for different audiences: Scientists writing for themselves (the Field journal); Scientists writing for other scientists (the Review article); and Scientists writing for students/ society ( an Essay for a periodical that utilizes analogy/metaphor). To inform this writing, students read and discuss Darwin's original works and the writings of more contemporary evolutionary theorists, including E. Mayr and S.J. Gould. This course is appropriate for incoming students as well as more advanced biology students.
Welcome to the Research Experiences in Microbiomes Network (REMNet) videos for Biology …
Welcome to the Research Experiences in Microbiomes Network (REMNet) videos for Biology 3004. Here you will learn how you can incorporate next-generation microbiome sequencing into your biology course curriculum.
Since we live in an urban environment with many trees, shrubs, and …
Since we live in an urban environment with many trees, shrubs, and flower plantings this course is designed so that each student will always be able to walk down the street and have some familiarity with their environs. To that end, each student will learn to identify approximately 50-60 trees and shrubs and know them by their common name, scientific name and family, as well as some annuals and perennials commonly used as bedding plants. Students will learn some basic the botanical concepts, which are used in, plant identification, such as botanical structural features used in phylogeny and taxonomy of plants. In addition to this, students will get an overview of the ecological and economic aspects specific to urban botany.
The fundamentals of biological macromolecular structures; an introduction to the computational tools …
The fundamentals of biological macromolecular structures; an introduction to the computational tools important in determining biological functions. (This course is the same as Computer and Information Science 2810W.) Writing-intensive course.
This course focuses on the interaction of chemical engineering, biochemistry, and microbiology. …
This course focuses on the interaction of chemical engineering, biochemistry, and microbiology. Mathematical representations of microbial systems are featured among lecture topics. Kinetics of growth, death, and metabolism are also covered. Continuous fermentation, agitation, mass transfer, and scale-up in fermentation systems, and enzyme technology round out the subject material.
" This course does not seek to provide answers to ethical questions. …
" This course does not seek to provide answers to ethical questions. Instead, the course hopes to teach students two things. First, how do you recognize ethical or moral problems in science and medicine? When something does not feel right (whether cloning, or failing to clone) ŰÓ what exactly is the nature of the discomfort? What kind of tensions and conflicts exist within biomedicine? Second, how can you think productively about ethical and moral problems? What processes create them? Why do people disagree about them? How can an understanding of philosophy or history help resolve them? By the end of the course students will hopefully have sophisticated and nuanced ideas about problems in bioethics, even if they do not have comfortable answers."
Our goal is to present the key observations and unifying concepts upon …
Our goal is to present the key observations and unifying concepts upon which modern biology is based; it is not a survey of all biology! Once understood, these foundational observations and concepts should enable you to approach any biological process, from disease to kindness, from a scientific perspective. To understand biological systems we need to consider them from two complementary perspectives; how they came to be (the historic, that is, evolutionary) and how their structures, traits, and behaviors are produced (the mechanistic, that is, the physicochemical)
This course is a continuation of Bioinformatics I. Topics include gene expression, …
This course is a continuation of Bioinformatics I. Topics include gene expression, microarrays, next- generation sequencing methods, RNA-seq, large genomic projects, protein structure and stability, protein folding, and computational structure prediction of proteins; proteomics; and protein-nucleic acid interactions. The lab component includes R-based statistical data analysis on large datasets, introduction to big data analysis tools, protein visualization software, internet-based tools and high-level programming languages.
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