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UC Davis - PSC - 168
1PSC168 , Summer Session 1 Form A July 10, 2006 Professor R. Sommer First Midterm Answer all questions on your Scantron. Select the best answer for each question. 1. A grieving husband insists his dead wife will return from the dead. This is an example o
UC Davis - PSC - 168
PSC 168 Professor SommerFirst Midterm August 16, 2007Answer all multiple choice questions on your Scantron. Select the best answer for each question.1. The practice of trephination was probably used to: A) remove a part of the brain. B) relieve pressur
UC Davis - PSC - 168
PSC168Prof. SommerPSC168: Chapter 1 pages 1-18, Chapter 2Abnormal Psychology: Past and PresentI. A. 1.What is Psychological Abnormality: Fours Ds Deviance Behavior thoughts and emotions that break norms of psychological functioning Statistical rarity
UC Davis - PSC - 140
6/20/10 PSC 140 DEVELOPMENTAL PSYCHOLOGYSara Waters Summer Session I 2010 Overview of lecture Introduction to the topic Historical perspectives on children Natural experiments in child development Enduring themes in the stud
UC Davis - PSC - 140
6/21/10 Studying Children Lecture 2 June 22, 2010 PSC140 SSI The goal To describe, explain, and predict behavior To advance basic knowledge Basic research To answer practical questions Applied research The chal
UC Davis - PSC - 140
6/22/10 Concep-on to Birth Lecture 3 June 23rd, 2010 PSC140 SSI Lecture Outline Conception Genetic transmission Prenatal development The prenatal environment Birth The newborn The fundamentals of gene-cs Genotype
UC Davis - PSC - 140
6/23/10 Brain and Sensory Development Lecture 4 June 24th, 2010 PSC140 SSI The cerebral cortex The cerebral cortex Occipital lobe Processes primarily visual information Temporal lobe Processes primarily memory, visua
UC Davis - PSC - 140
6/27/10 Physical Development Lecture 5 June 28th, 2010 PSC140 SSI Growth Growth 1 6/27/10 Ea<ng and nutri<on Infants rely on milk for the ?irst few months Begin with solid food ~4 months Teething begins ~6 m
UC Davis - PSC - 140
6/28/10 Language Development Lecture 6 June 29th, 2010 PSC140 SSI Uniquely human Language is speciesspeci<ic Language is speciesuniversal Attempts to teach human language to chimpanzees The brain and language 1 6/28/
UC Davis - PSC - 140
PSC140 SSI 2010 Midterm 1 Practice questions 1. Which of the following is the best example of children's active contribution to their own development? A) Joshua's bright blue eyes cause strangers to shower him with attention, influencing him to be less fe
UC Davis - PSC - 165
Some Thoughts about Health PsychologyDoug Cort, PhD Director Psychology Section Preventive Cardiology Program UCDMCBehavioral Medicine Health PsychologyIntegration of behavioral sciences with medicinePsychologys contributions to the enhancement of hea
UC Davis - PSC - 165
D r. Mattiuzzi Clinical Forensic Psychology Forensic pertaining to law (literally, of the forum ) Areas of Practice Civil law w itness or in an accident, get emotionally upset, forensic psychologist forms opinion re whether injured or not Family law custo
UC Davis - PSC - 165
Clinical Child PsychologyGeorganna Sedlar, PhD UC Davis Childrens Hospital CAARE Center November 23, 2010UC Davis CAARE CenterChild Maltreatment PopulationFoster Care, Dependents of the CourtMultidisciplinary Clinic Medical/Psychiatric Care Mental
UC Davis - PSC - 165
P SC 165: I n t roduction to Clinical Psychology Exam #1 Study Guide Fall 2010F rom the Book Chapter 1: Evidence-based practice, especially good and bad about it, i mportance Differences between various mental health professions H istory of clinical psyc
UC Davis - PSC - 165
PSC 165: Introduction to Clinical Psychology Exam #3 Study Guide Fall 2010 From the Book Chapter 6: Special considerations in interviewing children and adolescents Observation usefulness of, reasons for Chapter 7: WISC-IV, WPPSI-III what they are, how the
UC Davis - PSC - 165
EthicalConsiderationsSomeKeyTermsinEthicsProfessionalEthicsStandardsofcorrectprofessionalbehaviorEthicalPrinciplesaspirational EthicalStandardsenforceable OtherKeyConcepts Fiduciaryrelationship:arelationshipbasedontrustina professional Paternalism:o
UC Davis - PSC - 165
PSC 165: Introduction to Clinical Psychology Fall 2010 Readings for Exam #3 Chapter 6 7 10 13 15 444 (Clinical Neuropsychology) to 453 Midterm Exam #3 (the final), Thursday, December 9th, 1:00 p.m. 3:00 p.m. Omit (this means it will NOT be on the exam)16
UC Davis - PSC - 165
Dr. J. Horn _ Page 1 of 7 _ Psychology 165: Introduction to Clinical Psychology Midterm Examination #3 Spring 2008Name ID#First, PRINT your name and ID# on the first page of this exam and the last page. Then use your Scantron form to answer the Multiple
UC Davis - PSC - 162
PSC 162, Summer 2010 STUDY GUIDE: CLASS LECTUREPersonality TheoryAlfred Adlers theory INFERIORITY AND COMPENSATION Thought Freud focused too much on sex as the ultimate motivator and organizer of thought and behavior Social interest: the desire to relat
UC Davis - PSC - 162
Psychology 162 (Summer, 2010) Adapted from Shaver, Fink, & Ko Written Exercise: Self-Analysis of Personality This exercise is meant to encourage you to think about your own personality in terms of several of the approaches weve considered during the summe
UC Davis - PSC - 161
PSC 161: The Psychology of the SelfLecture #1 September 23, 20101Todays AgendaIntroductions Syllabus and course requirements A brief discussion about the topic of the course2IntroductionsStaff TA: Mark Kurai Instructor: Professor Cynthia Pickett
UC Davis - PSC - 161
The Study of the SelfLecture #2 September 28, 20101What is the Self?Question has occupied philosophers, theologians, and social scientists for hundreds of years Selfhood: the thoughts, feelings, and behaviors that arise from the awareness of self as o
UC Davis - PSC - 161
Development of the SelfLecture #3 September 30, 20101OverviewEvolution of the symbolic self Development of the I-Self Models of self-concept (Me-Self) development Meads symbolic interactionism theory Eriksons identity development model Harters model
UC Davis - PSC - 161
Self-AwarenessLecture #4 October 5, 20101Self-AwarenessWhat is it? Who has it? How does the brain achieve it?2Self-Cognizance as a Continuum(Bekoff & Sherman, 2004) Self-Awareness(cognitive process that enables an individual to discriminate betwee
UC Davis - PSC - 161
The Relational SelfLecture #5 October 12, 20101OverviewDefinitions Activation of Relational Self Models of the Relational Self Self-with-Other representations Relational schemas Relational-Interdependent self-construal Attachment models Inclusion-of
UC Davis - PSC - 161
Pickett, Chen, & Gardner (2010) 1CHAPTER 2: DEVELOPMENT OF THE SELFIm 3 years old and I live in a big house with my mother and father and my brother, Jason, and my sister, Lisa. I have blue eyes and a kitty that is orange and a television in my own room
UC Davis - PSC - 161
Pickett, Chen, & Gardner (2010)1CHAPTER 5: THE RELATIONAL SELFOverview Most people would agree that they tend to behave differently with their parents than with their friends, with their friends than with their romantic partner, with their older brothe
Walsh College - ECON - 503
WEEK ONEInstructor Lecture: Nature of EconomicsContent Author: Dr. Basma BekdacheThis week we begin our introduction to the exciting world of economics. By the end of this semester, you will be able to read the daily economic news and understand what i
University of California, Merced - IEOR - 162
clear clc g=g g(1,1)=_ g(:,3) = _ g(1:3,2)=_ g(1:3,3)=[] g(3) = [] - cut f = 2*ones(3,2) g*f (check dimention) g.*f 0:pi:100 - start, increment, end Linspace(0,20,60) - start, end, #points A= linspace() Zeros(6,9) A= Rand(_,_) B= find(a>0.8) Length (b) Fo
Mitchell Technical Institute - MATH - 180
18.03 Class 1, Feb 8, 2006 Introduction: Geometric view of solving ODE's. Vocabulary: Differential equation; solutions; ordinary; order; general solution, particular solution, initial value; direction field; integral curve; separable equation. Technique:
MapĂșa Institute of Technology - MATH - 180
18.03 Class 2, February 10, 2006 Numerical Methods [1] The study of differential equations rests on three legs:. Analytic, exact, symbolic methods . Quantitative methods (direction fields, isoclines .) . Numerical methods Even if we can solve symbolicall
MapĂșa Institute of Technology - MATH - 180
18.03 Class 3, Feb 13, 2006 First order linear equations: Models Vocabulary: Coupling constant, system, signal, system response, Models: banks, mixing, cooling, growth and decay. Solution in case the equation is separable; general story deferred to Cla
MapĂșa Institute of Technology - MATH - 180
18.03 Class 4, Feb 15, 2006 First order linear equations: solutions. [1] Definition: A "linear ODE" is one that can be put in the "standard form" _ | | | x' + p(t)x = q(t) | |_| On Monday we looked at the Homogeneous case, x' + p(t) x = 0 . This is se
MapĂșa Institute of Technology - MATH - 180
18.03 Class 5, Feb 17, 2006 Complex Numbers, complex exponential Today, or at least 2006, is the 200th anniversary of the birth of complex numbers. In 1806 papers by Abb\'e Bul\'ee and by Jean-Robert Argand established the planar representation of complex
MapĂșa Institute of Technology - MATH - 180
18.03 Class 6, Feb 21, 2006 Roots of Unity, Euler's formula, Sinusoidal functions [1] Let Roots of unity a>0. Since i^2 = -1 , (+- i sqrt(a)^2 = - a C. C , :Negative real numbers have square roots inAny quadratic polynomial with real coefficients
MapĂșa Institute of Technology - MATH - 180
18.03 Class 7, Feb 22, 2006 Applications of C: Exponential and Sinusoidal input and output: Euler: Re e^cfw_(a+bi)t Im e^cfw_(a+bi)t [1] Integration e^cfw_2t cos(t) ? = = e^cfw_at cos(bt) e^cfw_at sin(bt)Remember how to integrate Use parts twice.
MapĂșa Institute of Technology - MATH - 180
18.03 Class 8, Feb 24, 2006 Autonomous equations I'll use (t,y) today.y' = F(t,y)is the general first order equation y' = g(y) .Autonomous ODE:Eg [Natural growth/decay] Constant growth rate: so y' = k0 y . k0 > 0 means the populuation (if positive) i
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, February 24, 2006Thank you all for your frank responses. Ill try to answer some of the most common confusions. 1. A rst order ODE is autonomous if it has the form y = g (y ). Here y = dy/dt. y is a function of t, so its true t
MapĂșa Institute of Technology - MATH - 180
18.03 Class 9, Feb 27, 2006 Review: Linear v Nonlinear [1] review of linear methods [2] Comment on special features of solutions of linear first order ODEs not shared by nonlinear equations. [1] First Order Linear: x' + p(t) x = q(t)system; input signal;
MapĂșa Institute of Technology - MATH - 180
18.03 Class 11, March 3, 2006 Second order equations: Physical model, characteristic polynomial, real roots, structure of solutions, initial conditions [1] F = ma spring is the basic example. mass Take a spring attached to a wall,dashpot| | | |-> F_ext
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, March 3, 20061. I confused a number of people by dividing through mx + bx + k x = Fext (t) and miraculously getting x + bx + k x = q (t). What I meant to say was that by dividing through you make the coecient of x equal to 1 a
MapĂșa Institute of Technology - MATH - 180
18.03 Class 12, March 6, 2006 Homogeneous constant coefficient linear equations: complex or repeated roots, damping criteria. [1] We are studying equations of the form x" + b x' + k x = 0 (*)which model a mass, dashpot, spring system without external
MapĂșa Institute of Technology - MATH - 180
18.03 Class 13, March 8, 2006 Summary of solutions to homogeneous second order LTI equations; Introduction to inhomogneneous equations. [1] We saw on Monday how to solve x" + bx' + kx = 0.Here is a summary table of unforced system responses. One of three
MapĂșa Institute of Technology - MATH - 180
18.03 Class 14, March 10, 2006 Exponential signals, higher order equations, operators [1] Exponential signals x" + bx' + kx = A e^cfw_rt (*)We want to find some solution. Try for a solution of the form k] b] xp xp' = = B e^cfw_rt xp = B e^cfw_rt :B r e^
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, March 10, 20061. The commonest question concerned the idea and utility of operators. I'll say something now. You can look ahead at the "exponential shift law" if you want, to see one use later. An operator modifies a function
MapĂșa Institute of Technology - MATH - 180
18.03 Class 15, March 13, 2004 Operators: Exponential shift law Undetermined coefficients [1] Operators. D e^cfw_rt so and or D^n e^cfw_rt = = The ERF is based on the following calculation: r e^cfw_rt = rI e^cfw_rtr^n I e^cfw_rt(a_n D^n + . + a_0 I) e^c
MapĂșa Institute of Technology - MATH - 180
18.03 Class 16, March 15, 2006 Frequency response [1] Frequency response: without damping x" + omega_n^2 x = 0 :First recall the Harmonic Oscillator: The spring constant is k = omega_n^2 .Solutions are arbitrary sinusoids with circular frequency the "
MapĂșa Institute of Technology - MATH - 180
18.03 Class 17, March 17, 2006 Application of second order frequency response to AM radio reception with guest appearance by EECS Professor Jeff Lang. [1] The AM radio frequency spectrum is divided into narrow segments which individual stations are requir
MapĂșa Institute of Technology - MATH - 180
18.03 Class 18, March 20, 2006 Review of constant coefficient linear equations: Big example, superposition, and Frequency Response [1] Example. x" + 4x = 0 PLEASE KNOW the solution to the homogeneous harmonic oscillator x" + omega^2 x = 0 are sinusoids of
MapĂșa Institute of Technology - MATH - 180
18.03 Class 20, March 24, 2006 Periodic signals, Fourier series [1] Periodic functions: for example the heartbeat, or the sound of a violin, or innumerable electronic signals. I showed an example of violin and flute. A function f(t) is "periodic" if there
MapĂșa Institute of Technology - MATH - 180
18.03 Class 21, April 3 Fun with Fourier series [1] If f(t) is any decent periodic of period 2pi, it has exactly one expression as (*)f(t) = (a0/2) + a1 cos(t) + a2 cos(2t) + . + b1 sin(t) + b2 sin(2t) + .To be precise, there is a single list of coeffic
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, April 3, 20061. A number of people were confused by my derivation of the Fourier coecients of the function f (t), even, periodic, period 2 , with f (t) = 4 for 0 < t < /2 and f (t) = 0 for /2 < t < . I think the process of exp
MapĂșa Institute of Technology - MATH - 180
18.03 Class 22, April 5 Fourier series and harmonic response [1] My muddy point from the last lecture: I claimed that the Fourier series for f(t) converges wherever $f$ is continuous. What does this really say? For example, (pi/4) sq(t) for any value of t
MapĂșa Institute of Technology - MATH - 180
18.03 Class 23, April 7 Step and delta. Two additions to your mathematical modeling toolkit. - Step functions [Heaviside] - Delta functions [Dirac] [1] Model of on/off process: a light turns on; first it is dark, then it is light. The basic model is the H
MapĂșa Institute of Technology - MATH - 180
18.03 Class 24, April 10, 2006 Unit impulse and step responses [1] In real life one often encounters a system with unknown system parameters. If it's a spring/mass/dashpot system you may not know the spring constant, or the mass, or the damping constant.
MapĂșa Institute of Technology - MATH - 180
18.03 Class 25, April 12, 2006 Convolution [1] We learn about a system by studying it responses to various input signals. I claim that the weight function w(t) - the solution to p(D)x = delta(t) with rest initial conditions - contains complete data about
MapĂșa Institute of Technology - MATH - 180
18.03 Lecture 26, April 14 Laplace Transform: basic properties; functions of a complex variable; poles diagrams; s-shift law. [1] The Laplace transform connects two worlds:-| The t domain | | | | t is real and positive | | | | functions f(t) are
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, April 14, 20061. A number of people brought up the point made at the end of Lecture 25, on April 12: how do we know what initial conditions yield the unit step or impulse responses? This is a tricky point and I did not explain
MapĂșa Institute of Technology - MATH - 180
18.03 Class 27, April 17, 2006 Laplace Transform II: inverse transform, t-derivative rule, use in solving ODEs; partial fractions: cover-up method; s-derivative rule. Definition: F(s) = L[f(t)] = integral_cfw_0-^infty f(t) e^cfw_-st dt , Re(s) > 0Rules: