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BIO-PROCESS LAB (B) 2015

BIO-PROCESS LAB (B) 2015. KAREN LANCOUR National Committee Chair-Life Science Bio-Process Lab National Supervisor karenlancour@charter.net. Event Rules – 2015. DISCLAIMER

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BIO-PROCESS LAB (B) 2015

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  1. BIO-PROCESS LAB (B) 2015 KAREN LANCOUR National Committee Chair-Life Science Bio-Process LabNational Supervisor karenlancour@charter.net

  2. Event Rules – 2015 DISCLAIMER This presentation was prepared using draft rules.  There may be some changes in the final copy of the rules.  The rules which will be in your Coaches Manual and Student Manuals will be the official rules.

  3. Event Rules – 2015 • BE SURE TO CHECK THE 2015 EVENT RULES FOR EVENT PARAMETERS AND TOPICS FOR EACH COMPETITION LEVEL

  4. TRAINING MATERIALS • Training Power Point – content overview • Training Handout - content information • Practice Activities - sample stations with key • Sample Tournament – sample problems with key • Event Supervisor Guide – prep tips, event needs, and scoring tips • Internet Resource & Training CD’s – on the Science Olympiad website at www.soinc.orgunder Event Information • Biology-Earth Science CD,Bio-Process Lab CD (updated 2015) in Science Olympiad Store at www.soinc.org

  5. Bio-Process Lab (B) • Event Description -lab-oriented competition involving the fundamental science processes of a middle school biology lab program • Event – lab practical in stations • Event Parameters –be sure to check the rules for resources allowed, type of goggles needed.

  6. Observing Measuring Inferring Classifying Predicting Communicating Basic Science Process Skills

  7. Integrated Science Process Skills • Formulating Hypothesis • Identifying Variables • Defining Variables Operationally • Describing Relationships Between Variables • Designing Investigations • Experimenting • Acquiring Data • Analyzing Investigations and Their Data • Understanding Cause and Effect Relationships • Formulating Models

  8. GAME PLAN • POWERPOINT FOR OVERVIEW • HANDOUT FOR DETAIL OF INFORMATION NEEDED • INTERNET RESOURCES AND CD FOR MORE HELP • PRACTICE ACTIVITIES TO MASTER SKILLS • SAMPLE COMPETITION UNDER TIMED CONDITIONS TO EXPERIENCE COMPETITION SITUATION

  9. Student Preparation • Team work skills • Time limits • Answering questions • Measurement and Calculations • Reference materials • Practice using labs and lab manuals • Construct sample stations

  10. Parts Making wet mount Appearance of objects Movement of objects Magnification Changing objects Estimating size of objects Field diameter & area Compound Microscope

  11. Principles of Microscopy

  12. Measuring objects

  13. Stereomicroscope • Parts • Appearance of objects • Magnification • Advantages • Uses • Observing objects

  14. Electronic Balance • Capacity • Units • Tare or Zero • Err • Using the Balance • Advantages & Disadvantages

  15. Triple Beam Balance • Capacity – auxillary weights • Units – numbered and unnumbered increments • Tare • Using the Balance • Advantages & Disadvantages

  16. Measuring Liquids • Meniscus – read bottom • Capacity and Range • Graduations – numbered and unnumbered increments • Readability • Making measurements • Estimating

  17. Metric ruler and calipers • Capacity and Range • Numbered and unnumbered increments • cm vs mm • Uses of each • Making measurements • Estimating • Vernier Scale

  18. Thermometers • Capacity and Range • Do not start at zero • Numbered and unnumbered increments • Uses of each • Making measurements • Estimating

  19. Probes • Graphing calculator • Easy link or CBL • Probe • Collect data onto calculator • Transfer data to computer • Graph analysis • Quick data collection

  20. Data Presentation and Analysis- Data Tables • Format • Title • Units of measurement • Numbering Tables • Source

  21. Graph – types X vs Y axis Scaling axis Plotting points Human Error Curve or best fit line Labeling Data Presentation and Analysis-Graphs

  22. Human Mistakes vs. Experimental Errors • Human Mistakes – carelessness • Experimental Error – instrument variation or technique • Random Error – chance variation • Systematic Error – system used for designing or conducting experiment

  23. A Sample Dichotomous Key • 1. wings covered by an exoskeleton . . . . . . go to step 2  1. wings not covered by an exoskeleton. . . . go to step 3 • 2 body has a round shape. . . . . . . . ladybug 2 body has an elongated shape. . . . . .grasshopper • 3.wings point out from the side of the body . . dragonfly3 wings point to the posterior of the body.. . . . Housefly • Note: There should be one less step than the total number of organisms to be identified in your dichotomous key.

  24. Sample Stations – Population Density • Measure sample area • Determine population density for symbols • Assign an organism to symbols • Form a food chain • Evaluate sample – predict techniques, etc.

  25. Sample Station – Dichotomous Key • Have specimens of leaves • Formulate a key or use a key to identify specimens

  26. Sample Station - Measurement • Identify range, capacity, incrementation • Do measurement – estimate last digit

  27. Sample Station – Experiment Analysis • Analyze the design of the experiment • Identify variables • Explain results – form conclusions

  28. Sample Station – Microscopy • Determine the diameter of the field and the length of one cell in mm and convert to mcm.

  29. Making hypotheses Food web analysis Eating habit analysis Predictions and conclusions Inferences Sample Station – Data Analysis

  30. Sample Station – pH • Determine the pH of various solutions using either pH probe or pH test papers.

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