1 - 10 of 53 results for: BIOHOPK

Bio-logging is a rapidly growing discipline that includes diverse fields such as consumer electronics, medicine, and marine biology. The use of animal-attached digital tags is a powerful approach to study the movement and ecology of individuals over a wide range of temporal and spatial scales. This course is an introduction to bio-logging methods and analysis. Using whales as a model system, students will learn how use multi-sensor tags to study behavioral biomechanics.

This course is a field-based inquiry into rocky intertidal shores that introducesnstudents to ecology and environmental physiology and the research methods used to study them. Students will learn how to detect patterns quantitatively in nature through appropriate sampling methods & statistical analysis. Following exploration of appropriate background material in class and through exploration of the scientific literature, students will learn how to formulate testable hypotheses regarding the underlying causes of the patterns they discern. A variety of different aspects of ecology and physiology will be investigated cooperatively by the students during the quarter, culminating in development of an individual final paper in the form of a research proposal based on data collected during the course. The course will provide a broad conceptual introduction to the underlying biological principles that influence adaptation to the planet¿s dynamic habitats, as well as inquiry-based experience in how to explore and understand complex systems in nature. nThis course fulfills the same laboratory requirement as BIO 47. Satisfies WIM in Biology.

The course is designed to provide background on key concepts in ecology, familiarize students with key ecological processes and ecosystems, and the methods used in ecological studies. The course will further build students¿ skills in critical scientific thinking, reading the literature, and scientific communication. A major goal of the course is to train students to ask questions in ecology, and to design, conduct and report studies addressing these questions. Thus, emphasis is also placed, in additional to general ecological concepts, on field observations, experimental design, and the analysis, interpretation and presentation of ecological data (through computer laboratories, written assignments and presentations). Written assignments, presentations and discussions are designed to provide experience in organizing and presenting information and to expose students to multiple perspectives on ecological processes and their applications.nThis course fulfills the same requirement as BIO 81.

This course will examine basic physiological systems of vertebrate and invertebrate animals, including nerve and muscle, heart and circulation, kidney and osmoregulation, metabolism, and thermoregulation. nThis course fulfills the same requirement as BIO 84.

Principles of micro- and macro-evolution from molecular genetics to the development of biological diversity. Adaptation, divergence and natural selection in the past and in contemporary ecological settings. Evolution of humans and human-caused evolution. Emphasis on major body plans in the sea and ocean examples of major evolutionary processes.nThis course fulfills the same requirements as BIO 85.

(Graduate students register for 240H.) Introduction to applied statistical modeling in a Bayesian framework. Topics will include probability, regression, model comparison, and hierarchical modeling. We will take a hands-on, computational approach (R, Stan) to gain intuition so that students can later design their own inferential models. Prerequisites for this course include introductory statistics and some calculus or linear algebra, as well as previous exposure to scientific computing. Open to graduate students; undergraduate students may enroll with consent of instructor.

(Graduate students register for 250H.) The principles of life's physical interactions. We will explore basic physics. fluid mechanics, thermal dynamics, and materials science to see how the principles of these fields can be used to investigate ecology at levels from the individual to the community. Topics include: diffusion, boundary layers, fluid-dynamic forces, locomotion, heat-budget models, fracture mechanics, adhesion, beam theory, the statistics of extremes, and the theory of self-organization. Open to students from all backgrounds. Some familiarity with basic physics and calculus advantageous but not necessary.

(Graduate students register for 253H) The course will focus on extensive reading of seminal and reference papers published in the literature in the last decade on modeling population biology, community dynamics and fishery management in the marine environment. Basic knowledge of population dynamics is welcome. The goal is to develop an appreciation on both traditional and cutting-edge modeling approaches to study the dynamics and management of marine populations subjected to natural or anthropogenic shocks and pressures.

What role does creativity play in the life of a scientist? How has science inspired great literature? How do you write accessibly and expressively about things like whales, DNA or cancer? This course begins with a field trip to Hopkins Marine Station, perched at the edge of the Pacific, where Stanford labs buzz with activity alongside barking seals and crashing waves. Here, in this spectacular setting, we learn to pay attention to our encounters with the natural world and translate sensory experience to the page. Students keep field journals to collect observations and cultivate a reflective practice. In-class writing experiments lead to original nonfiction combining personal narrative and scientific curiosity. Students workshop their projects, receiving supportive feedback from the group. You will develop a more patient and observant eye, improve your ability to articulate scientific concepts, and, hopefully, have a bit of fun along the way.nNOTE: First priority to undergrads. Students must attend the first class meeting to retain their roster spot.