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Maryland - UMIACS - 790
Object Oriented AnalysisandObject Oriented ProgrammingSession 5 LBSC 790 / INFM 718B Building the Human-Computer InterfaceAgenda Collaboration and sequence diagrams Getting from diagrams to Java code Making sense of the API What's in a GUI?
Maryland - UMIACS - 790
TestingandDebuggingSession 9 LBSC 790 / INFM 718B Building the Human-Computer InterfaceAgenda Questions Testing Debugging Show and tellTypes of Errors Syntax errors Detected at compile time Run time exceptions Cause system-detected fa
Maryland - UMIACS - 790
Final Exam ReviewSession 14 LBSC 790 / INFM 718B Building the Human-Computer InterfaceLearning Objectives Understand the role of implementation in the development process. Learn and apply a rapid prototyping methodology Become familiar with a c
Maryland - UMIACS - 790
Structured ProgrammingandUML OverviewSession 2 LBSC 790 / INFM 718B Building the Human-Computer InterfaceAgenda Questions The big picture Making java UML overviewThe Big Picture Language Learning Learn some words Put those words togethe
Maryland - UMIACS - 790
Interaction DesignSession 12 LBSC 790 / INFM 718B Building the Human-Computer InterfaceAgenda Questions Interaction design Some examples Project presentationsInteraction Design Play to the strengths of machine and human Place the locus of
Georgia Tech - CS - 3220
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CSU LA - BIOL - 436
#975.2 A Preliminary Examination of Astrocyte Morphology Across Multiple Human Forebrain NucleiBeverly L. Krilowicz , Robert Nienhuis , Thomas Thannickal and Jerome Siegel 1 Department of Biological Sciences, California State University, Los Angeles
CSU LA - BIOL - 436
Membrane ChannelsB. L. Krilowicz Biology 436 Spring 2009I. Why do Membranes Need Channels?A. Without channels it is energetically unfavorable to move ions across a membrane 1. the phospholipid bilayer is ~6-8 nm thick 2. the hydrophilic head of
CSU LA - BIOL - 436
Membrane PotentialsB. L. Krilowicz Biology 436 Spring 2009I. Overview of Signaling in the Nervous System There are two types of signaling in the vertebrate nervous system Action potentials = electrical signals; carry information within a neuron
CSU LA - BIOL - 436
Microanatomy of Neurons and Anatomy and Physiology of Glial CellsB. L. Krilowicz Biology 436 Spring 2009Neurons are the signaling units of the nervous systemCell body = metabolic center of the cell, i.e. site of protein synthesis since all other
CSU LA - BIOL - 436
1 Grading Criteria for Oral Presentation - Biology 436/Spring Quarter 2009 (100 pts.) Introduction: (17 pts.) 1. Gives a general background to the topic Not Acceptable_ 0 pt. Acceptable_ 3 pt. Good_ 4 pt. Excellent_ 6 pt.2. States the hypothesis (e
CSU LA - BIOL - 436
1 Grading Criteria for Poster - Biology 436/Spring Quarter 2009 (100 pt. Total) Title: (3 pts.) 1. Title is an appropriate length and descriptive of research results to be discussed. Not acceptable_ 0 pt. Acceptable_ 1 pt. Good_ 2 pt. Excellent__ 3 p
CSU LA - BIOL - 436
NAME_ Biology 436 - Neurobiology: Neurophysiology Exam #1 (100 pts. Total) EQUATIONS: The Nernst Equation [ion outside] E = 58 log _ [ion inside] and, [ion inside] E = 58 log _ [ion outside] The Goldman Equation PK+ [K+outside] + PNa+ [Na+outside] +
CSU LA - BIOL - 436
Practice with Membrane and Resting Membrane PotentialsB. L. Krilowicz Biology 436 Spring 2009The following data were obtained from the cells of an arctic fox.Ion intracellular concentration (mM) 100 10 20 extracellular concentration (mM) 10 100 2
CSU LA - BIOL - 436
Resting Membrane PotentialsB. L. Krilowicz Biology 436 Spring 2009I. The Neuron Membrane is Permeable to K+, Na+ and Cl- at restA. Evidence from radioactive tracer studies tells us that all major ionic species can pass the resting neuronal membra
CSU LA - BIOL - 436
The Cellular Basis of Action Potentials (Part 1)B. L. Krilowicz Biology 436 Spring 2009I. Neurons can Experience Changes in Membrane Potential Neurons differ from most body cells in that they can experience changes in membrane potential These ch
CSU LA - BIOL - 436
The Cellular Basis of Action Potentials (Part 3)B. L. Krilowicz Biology 436 Spring 2009I. Using the Patch-Clamp Technique to Develop a Model for Gating of the VoltageGated Sodium ChannelPatch Clamp Recording+ 40 mV - 60 mV out 0 Im time VmChan
Georgia Tech - CS - 3220
%!PS-Adobe-2.0 %Creator: dvipsk 5.526a Copyright 1986, 1993 Radical Eye Software %Title: homework1.dvi %Pages: 16 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips homework1 -o %DVIPSParameters: dpi=300, comments remo
CSU LA - BIOL - 155
Animal BehaviorBiology 155 Spring 2009 B. L. KrilowiczI. Definition: Behavior is the observable response that an animal makes to a stimulus. Responses can have A genetic (innate = instinctive) component An environmental (learned) component U
CSU LA - BIOL - 155
Cell Structure and FunctionBiology 155 Krilowicz Spring 2009I. Definition of a cell: basic structural and functional units of life the smallest units that display the characteristics of life, i.e. reproduction, metabolism, response to stimuliI
CSU LA - BIOL - 155
Feeding and Digestion Part 2Biology 155 Spring 2009 B. L. KrilowiczIV. Example of a Generalized Complete Digestive Tract:B. 2. Salivary glands C. esophagus Fig. 21.4 B. Oral cavity A. Mouth = specialized for food ingestionE. 2. liver E. 2. Gal
CSU LA - BIOL - 155
Introduction to The Scientific MethodBiology 155 Spring 2009 B. L. KrilowiczWhat is the Scientific Method?A system of investigation that consists of three major steps: Step 1 = gathering facts or making an observation Step 2 = developing a hypoth
CSU LA - BIOL - 155
The Nervous and Endocrine SystemsBiology 155 B. L. Krilowicz Winter 2009I. Function:A. Two systems in the body are responsible for integration = regulation of other body systems Nervous System Endocrine SystemB. Why are regulatory systems nee
CSU LA - BIOL - 155
YOUR NAME LABORATORY INSTRUCTOR'S NAME Second Exam - Biology 155 February 11, 2008Directions. All questions are multiple choice. Please choose the one best answer to the question. There are 25 questions and each question is worth 4 points.; 100 poi
CSU LA - BIOL - 155
Respiration and Circulation Part 1Biology 155 Krilowicz Spring 2009Respiration and Circulation are coupled processes in most animalsFig. 22.1The systems function together to exchange gases with the environment and transport them to the tissues
CSU LA - BIOL - 155
Respiration and Circulation Part 2Biology 155 Krilowicz Spring 2009II. Circulation: A. Components-Fig. 23.3A1. The cardiovascular system = heart + blood vesselsFunction = Circulates the blood to and from the tissues2. The lymphatic system
CSU LA - BIOL - 155
What is Biology?Biology 155 Spring 2009 B. L. KrilowiczWhat is "Natural Science" Definition: a knowledge system that attempts to explain how things happen in the natural world (describe them = discovery science), and, why they happen in the way t
CSU LA - BIOL - 155
Biology 155 PEER EVALUATION FORM(Do not evaluate yourself)Your Name: _Attendance Was present at all labs in which he/she expected to receive a grade. Punctuality - Was present within 15 minutes into the regular class session and did not leave
CSU LA - BIOL - 155
1 Biology 155 - Grading Criteria for Chronobiology Draft Introduction Section (10 pt. Total; Due week 7) 1. Provides 2-3 general statements about circadian rhythms and their importance to humans and/or other animals. (If acceptable 1 pt.) 2. These ge
CSU LA - BIOL - 155
INTRODUCTION TO THE LIBRARY RESEARCH PROCESS FOR CHRONOBIOLOGY: THE STUDY OF BIOLOGICAL RHYTHMSNames of group members Exercise 3_ 1. The purpose of the Library activity is to help you locate articles for use in writing your scientific paper. ALL S
Georgia Tech - CS - 3220
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Charleston Law - CS - 111
CS111 Fall 2007Professor Sprenkle September 7, 2007sprenkles@wlu.eduSurvey Says. What year are you? Who has used a computer regularly? Who has used the Internet regularly? Who has made a web page? Who has written a program? Why are you tak
Charleston Law - CS - 111
Introduction to ProgrammingProfessor Sprenkle September 10, 2007sprenkles@wlu.eduObjectives Introduction to problem solving Introduction to Python Introduction to LinuxSep 10, 2007Sprenkle - CS1112Computational Problem Solving 101 Co
Charleston Law - CS - 111
Objectives Review Linux Why programming languages?Review: Linux How do you . Learn more about a Linux command? List the files in a directory? Change your current directory? Make a directory? Find out the current directory? Compiled vs. I
Charleston Law - CS - 111
Objectives Review Linux Whyprogramminglanguages? Compiledvs.InterpretedLanguages ProgramminginPython Datatypes Expressions Variables Comments ArithmeticSep 12, 2007Sprenkle - CS1111Review:Linux Howdoyou LearnmoreaboutaLinuxcomman
Charleston Law - CS - 111
Objectives More arithmetic in Python Format specifiers Function calls Importing modulesSep 17, 2007Sprenkle - CS111Documenting Your Code Use English to describe what your programis doing in commentsPound sign Everything after a # is a
Charleston Law - CS - 111
Lab0Feedback Great! Details got some of you Print out copy Copy directory to turnin directory Python practice (expressions into shell) Web page changes in index.html Sept 18, 2007Sprenkle - CS111LinuxKeyonline ls -l Long listing format
Charleston Law - CS - 111
Objectives Review: Precedence/Arithmetic, importingmodules Definite for loopsSept 19, 2007Sprenkle - CS1111Exponentiation Goal: compute -32 Suggested: pow(-3, 2) pow is a built-in function How else could we get that? For fun, what i
Georgia Tech - CS - 3220
%!PS-Adobe-2.0 %Creator: dvipsk 5.526a Copyright 1986, 1993 Radical Eye Software %Title: homework2.dvi %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips homework2 -o %DVIPSParameters: dpi=300, comments remov
Charleston Law - CS - 111
Objectives More on conditionals Indefinite Loops WikipediaSept 28, 2007Sprenkle - CS1111Quick Trick Printing the same string repeatedly Use the * operator for strings Quick way to draw the line in themultiplication tablefor x in xran
Charleston Law - CS - 111
Objectives Brief Conditional Review While Loops Random Numbers StringsOct 1, 2007Sprenkle - CS1111Conditional Review Logical operators: and, or, and not For numeric grade conversion:if num_grade < 0 or num_grade > 100: print error mess
Charleston Law - CS - 111
HandshakesOct 2, 2007Sprenkle - CS111Determinismvs.NonDeterminism If no input and no randomness Program always executes the same way with the same output Known as deterministic Our programs have been deterministic Adding the random functi
Charleston Law - CS - 111
Objectives Strings Computer's representations of data typesOct 3, 2007Sprenkle - CS1111Handshakes N=12 alumni11 10 9 8 7 6 5 4 3 2 1 0 11 10 9 8 7 6 0 1 2 3 4 5 11 11 11 11 11 11 Sums to 11 (N1) 6 times (N/2) = N*(N1)/2Sum theseOct 3,
Charleston Law - CS - 111
Objectives String Review String representation: ASCII String methods Broader Issue: Environmental MonitoringOct 5, 2007Sprenkle - CS1111Strings Actually a sequence of characters Example:str = "The Beatles"characters index of characte
Charleston Law - CS - 111
Objectives Announcement: Midterm prep document Constants review String method review Creating your own functionsOct 8, 2007Sprenkle - CS1111Constants Review Constants: don't change for "life" of program During one program execution If
Charleston Law - CS - 111
Probs 1, 2 Efficiency1num1 > num2 :TrueProb 2 Efficiency21 wins num1 > num2 :TrueWhich tends to be more efficient?num1 = num2 :Truenum1 < num2 :True1 wins num2 > num1 :Truenum2 > num1 :True1 winsnum2 < num1 :True2 winsTi
Charleston Law - CS - 111
Objectives Creating your own functionsWhy write functions? Allows you to break up a hard problem into smaller,more manageable parts Makes your code easier to understand Hides implementation details (abstraction) Provides interface (input, ou
Charleston Law - CS - 111
Objectives Creating your own functionsOct 15, 2007Sprenkle - CS1111Why write functions? Allows you to break up a hard problem into smaller, more manageable parts Makes your code easier to understand Hides implementation details (abstracti
Charleston Law - CS - 111
Objectives Review parts of algorithms More on working with text files Intro to Lists Broader Issues in Computer ScienceOct 19, 2007Sprenkle - CS1111Parts of an Algorithm Primitive operations What data you have, what you can do to the da
Charleston Law - CS - 111
Objectives More on Lists Methods Using in functionsOther Sequences of Data We commonly group a sequence of datatogether and refer to them by one name Days of the week: Sunday, Monday, Tuesday, . Months of the year: January, February, March,
Charleston Law - CS - 111
Objectives More on Lists Methods Using in functions DictionariesOct 22, 2007Sprenkle - CS1111Other Sequences of Data We commonly group a sequence of datatogether and refer to them by one name Days of the week: Sunday, Monday, Tuesday,
Charleston Law - CS - 111
Parmly Lab Hand Sanitizer Ergonomic informationOct 23, 2007Sprenkle - CS1111Lab 5 Feedback Program organization main functions at top of program import statements at top of program (outside of any functions) Program/algorithm improveme
Charleston Law - CS - 111
Objectives Search strategies Broader Issues: One Laptop Per ChildSearch Using in Review Iterates through a list, checking if theelement is found Known as linear search value Implementation:def inSearch(searchlist, key): for elem in searchlis
Charleston Law - CS - 111
Objectives Two-dimensional listsLists We've used lists that contain Integers Strings Cards (Deck class) Songs (your MusicCollection class) We discussed that lists can contain multipletypes of objects within the same list Lists can contai
Charleston Law - CS - 111
Charleston Law - CS - 111
Passing arrays to functionsOct 15, 2007Sprenkle - CS1111Issues: Open source Source is available to be read/editted Linux kernel is open source Linux kernel is free Some distributions add additional software, charge for OS Proprietary
Georgia Tech - CS - 3220
%!PS-Adobe-2.0 %Creator: dvipsk 5.526a Copyright 1986, 1993 Radical Eye Software %Title: project3.dvi %Pages: 3 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips project3 -o %DVIPSParameters: dpi=300, comments removed
Georgia Tech - CS - 3220
%!PS-Adobe-2.0 %Creator: dvipsk 5.526a Copyright 1986, 1993 Radical Eye Software %Title: project2.dvi %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips project2 -o %DVIPSParameters: dpi=300, comments removed
Georgia Tech - CS - 3220
%!PS-Adobe-2.0 %Creator: dvipsk 5.526a Copyright 1986, 1993 Radical Eye Software %Title: project1.dvi %Pages: 11 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips project1 -o %DVIPSParameters: dpi=300, comments remove
Salisbury - FACULTY - 202
5.1 Areas and Distances The Area Problem [1] Rectangles to estimate area under curve Left Endpoints vs Right Endpoints [2] Upper approximating sums; limit Upper approximating sums; limit [3] Right endpoints, midpoints, limits The Distance Pro
Salisbury - FACULTY - 202
5.2 The Definite Integral Definition of a Riemann sum Definition of a Riemann integral [1] Express a sum as an integral. Evaluating Integrals by Sums [2] Example where f changes sign on [a, b]. [3] Example where the sum is not of powers. ?[4]