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  • Life Science
Comparing the Simple Structure of Plant and Animal Cells
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The lesson is designed for fourth grade students using scientific investigation to identify and compare the basic parts of a plant and animal cells. This activity consists of several steps over a period of several days. It includes student use of microscopes for observations and journals to collect data to identify and classify the basic parts of plant and animal cells. The assessment has an individual component and uses student work.

Subject:
Biology
Life Science
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Pedagogy in Action
Author:
Katherine Kolb
Date Added:
02/10/2023
A Complete Guide to Hatching Chicks
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Students will learn what is needed and what the steps are to not only check and see if an egg has been fertilized, but how it will develop into a baby chick. This exercise from start to finish will take twenty-one days.

Subject:
Life Science
Material Type:
Activity/Lab
Author:
Alexa Lehr
Date Added:
04/14/2024
Compost: A Scientific Investigation
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Students will practice using the scientific method while learning about decomposition. They will compare different types of garbage by what can decompose and what can't and then go on and design their own experiment testing different variables.

Subject:
Environmental Science
Life Science
Material Type:
Lesson Plan
Date Added:
03/22/2024
Composting Competition
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Educational Use
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In a multi-week experiment, students monitor the core temperatures of two compost piles, one control and one tended, to see how air and water affect microbial activity. They daily aerate and wet the "treated" pile and collect 4-6 weeks' worth of daily temperature readings. Once the experiment is concluded, students plot and analyze their data to compare the behavior of the two piles. They find that the treated pile becomes hotter, an indication that more microbes are active and releasing heat. Through this activity, students see that microbes play a role in composting and how composting can be used as a carbon management process.

Subject:
Career and Technical Education
Environmental Science
Life Science
Technology and Engineering
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering NGSS Aligned Resources
Author:
Membrane Biotechnology Laboratory,
Robert Bair, Ivy Drexler, Jorge Calabria, George Dick, Onur Ozcan, Matthew Woodham, Caryssa Joustra, Herby Jean, Emanuel Burch, Stephanie Quintero, Lyudmila Haralampieva, Daniel Yeh
Date Added:
09/18/2014
Composting – Nature's Disappearing Act
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Educational Use
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Students explore the concept of biodegradability by building and observing model landfills to test the decomposition of samples of everyday garbage items. They collect and record experiment observations over five days, seeing for themselves what happens to trash when it is thrown "away" in a landfill environment. This shows them the difference between biodegradable and non-biodegradable and serves to introduce them to the idea of composting. Students also learn about the role of engineering in solid waste management.

Subject:
Career and Technical Education
Environmental Science
Life Science
Technology and Engineering
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering NGSS Aligned Resources
Author:
Amy Kolenbrander
Integrated Teaching and Learning Program,
Janet Yowell
Jessica Todd
Malinda Schaefer Zarske
Date Added:
10/14/2015
Computational Biology: Genomes, Networks, Evolution, Fall 2015
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CC BY-NC-SA
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This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets.

Subject:
Biology
Life Science
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Manolis Kellis
Date Added:
01/01/2015
Computational Evolutionary Biology, Fall 2005
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CC BY-NC-SA
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Why has it been easier to develop a vaccine to eliminate polio than to control influenza or AIDS? Has there been natural selection for a 'language gene'? Why are there no animals with wheels? When does 'maximizing fitness' lead to evolutionary extinction? How are sex and parasites related? Why don't snakes eat grass? Why don't we have eyes in the back of our heads? How does modern genomics illustrate and challenge the field? This course analyzes evolution from a computational, modeling, and engineering perspective. The course has extensive hands-on laboratory exercises in model-building and analyzing evolutionary data.

Subject:
Biology
Computer Science
Life Science
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Berwick, Robert
Date Added:
01/01/2005
Computational Functional Genomics, Spring 2005
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CC BY-NC-SA
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Study and discussion of computational approaches and algorithms for contemporary problems in functional genomics. Topics include DNA chip design, experimental data normalization, expression data representation standards, proteomics, gene clustering, self-organizing maps, Boolean networks, statistical graph models, Bayesian network models, continuous dynamic models, statistical metrics for model validation, model elaboration, experiment planning, and the computational complexity of functional genomics problems.

Subject:
Biology
Computer Science
Life Science
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Gifford, David
Jaakkola, Tommi Sakari
Date Added:
01/01/2005
Computational Geometry, Spring 2003
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CC BY-NC-SA
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Topics in surface modeling: b-splines, non-uniform rational b-splines, physically based deformable surfaces, sweeps and generalized cylinders, offsets, blending and filleting surfaces. Non-linear solvers and intersection problems. Solid modeling: constructive solid geometry, boundary representation, non-manifold and mixed-dimension boundary representation models, octrees. Robustness of geometric computations. Interval methods. Finite and boundary element discretization methods for continuum mechanics problems. Scientific visualization. Variational geometry. Tolerances. Inspection methods. Feature representation and recognition. Shape interrogation for design, analysis, and manufacturing. Involves analytical and programming assignments.

Subject:
Environmental Science
Geometry
Life Science
Mathematics
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Patrikalakis, Nicholas
Date Added:
01/01/2003
Computation for Biological Engineers, Fall 2006
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CC BY-NC-SA
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This course covers the analytical, graphical, and numerical methods supporting the analysis and design of integrated biological systems. Topics include modularity and abstraction in biological systems, mathematical encoding of detailed physical problems, numerical methods for solving the dynamics of continuous and discrete chemical systems, statistics and probability in dynamic systems, applied local and global optimization, simple feedback and control analysis, statistics and probability in pattern recognition.

Subject:
Genetics
Life Science
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Alm, Eric
Date Added:
01/01/2006
Computer Algorithms in Systems Engineering, Spring 2010
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CC BY-NC-SA
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This course covers concepts of computation used in analysis of engineering systems. It includes the following topics: data structures, relational database representations of engineering data, algorithms for the solution and optimization of engineering system designs (greedy, dynamic programming, branch and bound, graph algorithms, nonlinear optimization), and introduction to complexity analysis. Object-oriented, efficient implementations of algorithms are emphasized.

Subject:
Environmental Science
Life Science
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Kocur, George
Date Added:
01/01/2003
Computer Simulation of the Sonoran Desert Community
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Educational Use
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The computer program's simulation of a Sonoran desert community should ultimately strengthen the student's comprehension of what is required for a natural ecosystem to sustain itself (remain in balance). This computer simulation program has great flexibility. It allows the student to manipulate the population numbers of five Sonoran Desert species. A species natural history attachment provides vital information for the students to familiarize themselves with each species' behaviors, its niche and food resource needs. The program includes two producers, the Saguaro cactus and the Ironwood Tree. It also includes 3 consumers, but their interactions both toward the producers and each other differ. The community's ability to remain in balance and sustain all five species so that none die out rests on the student's assessment skills enabling him to correctly identify these dependencies. The student learns by trial and error as he continues to fine tune the ecosystem that he maintains stewardship of.

Subject:
Career and Technical Education
Ecology
Life Science
Technology and Engineering
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering NGSS Aligned Resources
Author:
Amber Spolarich
Megan Johnston
VU Bioengineering RET Program,
Wendy J. Holmgren
Date Added:
09/18/2014
Computing Dosage for Infants and Children -- Calculation of Dosage by the Body Weight Method
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CC BY-NC-SA
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Spreadsheets Across the Curriculum module. Students build spreadsheets to find dosages in mL/admin from prescription in mg/day/kg and admins/day; body weight in lbs; and concentration in mg/mL.

Subject:
Life Science
Mathematics
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Pedagogy in Action
Author:
Jian Zou
Date Added:
02/10/2023
Computing and Data Analysis for Environmental Applications, Fall 2003
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CC BY-NC-SA
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Covers computational and data analysis techniques for environmental engineering applications. First third of subject introduces MATLAB and numerical modeling. Second third emphasizes probabilistic concepts used in data analysis. Final third provides experience with statistical methods for analyzing field and laboratory data. Numerical techniques such as Monte Carlo simulation are used to illustrate the effects of variability and sampling. Concepts are illustrated with environmental examples and data sets. This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLABĺ¨ programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environmental Applications (1.017) and Uncertainty in Engineering (1.010), are being jointly offered and taught as a single course.

Subject:
Career and Technical Education
Education
Environmental Science
Life Science
Mathematics
Technology and Engineering
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
McLaughlin, Dennis
McLaughlin, Dennis B.
Date Added:
01/01/2003
Concept-Centered Teaching, Spring 2006
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CC BY-NC-SA
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Used for students receiving Advanced Placement credit and transfer credit. Program of study or research to be arranged with a Department faculty member. Written report required. Permission of Department required.

Subject:
Biology
Life Science
Material Type:
Full Course
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Kosinski-Collins, Melissa
Date Added:
01/01/2006
Confederated Salish and Kootenai Tribes: Applying the Values Taught by Our Ancestors
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Educational Use
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Incorporating elders’ wisdom in the process of systematically analyzing climate impacts and vulnerabilities in nine categories of tribal life prioritizes actions to take to enhance the evolution of an ancient culture, while protecting tribal traditions.

Subject:
Ecology
Life Science
Material Type:
Case Study
Provider:
National Oceanic and Atmospheric Administration
Provider Set:
U.S. Climate Resilience Toolkit
Date Added:
08/09/2016
Connecting the Story "Diary of a Worm" to a Daily Activity Diary
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CC BY-NC-SA
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In this activity, you will read the book "Diary of a Worm" and then your students will create their own diary.

Subject:
Biology
Life Science
Material Type:
Activity/Lab
Lesson Plan
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Pedagogy in Action
Date Added:
02/10/2023
Consequences of Climate Change: Lessons about Water Availability and Extreme Weather
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CC BY-SA
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This article from the free online magazine Beyond Weather and the Water Cycle provides appropriate science lessons for Grades K-5. The focus is on acquainting young learners with climate-change concepts that are not too complex for their grade level and will not frighten them. In each issue, the magazine develops articles around one of the seven essential principles of climate science. The author believes early lessons about water availability and extreme weather events will prepare students for complex climate concepts they will encounter in later grades.

Subject:
Ecology
Education
Forestry and Agriculture
Life Science
Mathematics
Physical Science
Physics
Material Type:
Lesson Plan
Teaching/Learning Strategy
Provider:
Ohio State University College of Education and Human Ecology
Provider Set:
Beyond Weather and the Water Cycle
Author:
Jessica Fries-Gaither
National Science Foundation
Date Added:
02/06/2023
Consortium of Midwest Herbaria - Specimen Search - University of Wisconsin-Madison, Wisconsin State Herbarium
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CC BY-NC
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The Wisconsin State Herbarium (WIS), formerly known as the University of Wisconsin-Madison Herbarium, was founded in 1849, and is a scientific collection of pressed, dried, labeled, and classified plants and fungi. It also preserves notes, illustrations, and other material about plants, and it maintains its own valuable Herbarium Library. The collection of more than 1.2 million specimens is of regional, national, and international importance. Approximately one-fourth of its vascular plant specimens are from Wisconsin, all of which have been databased and are searchable online. In addition, most of the world's floras are well represented, and the holdings from certain areas such as the Upper Midwest, eastern North America, western Mexico, and the Arctic (primarily lichens) are widely recognized as resources of global significance. The herbarium occupies two floors of the east wing of historic Birge Hall at the top of Bascom Hill on the UW-Madison campus. In addition to its specimen holdings, visitors to WIS have access to high-quality microscopes, an extensive library of books, reprints and maps, computer workstations, and internet connections for personal computers. WIS serves as the state of Wisconsin's official repository of plant specimen vouchers, and is actively engaged in educating students and sharing our passion for plants with the public. The faculty, staff, and students associated with the herbarium are engaged in a variety of local, regional, national, and international efforts to document, showcase, and protect plant diversity.

Search database by Specimen Search, Map Search, or Exsiccati Search.

Subject:
Agriculture, Food and Natural Resources
Biology
Botany
Career and Technical Education
Ecology
Environmental Science
Forestry and Agriculture
Life Science
Material Type:
Data Set
Diagram/Illustration
Other
Reference Material
Author:
Wisconsin State Herbarium (WIS)
University of Wisconsin-Madison
Date Added:
03/25/2024
Constructing Phylogenetic Trees: The Whippo Story
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CC BY-NC-SA
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An interactive lecture in which students use data on feeding habits and habitat, skeletons, and DNA sequences to draw phylogenetic trees.

Subject:
Life Science
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Pedagogy in Action
Author:
Scott Cooper
Date Added:
02/10/2023