6 Pages

MAE170-09 syllabus_first handout_Sep27_2010-2

Course: PHYS 123, Spring 2007
School: UC Davis
Rating:
 
 
 
 
 

Word Count: 1282

Document Preview

170: MAE Experimental Techniques Fall 2010 Faculty Prof. Farhat Beg 471, EBU-II 858-822-1266 fbeg@ucsd.edu Office hours:Thursdays, 1-2:30 pm Technical Staff Mike Watson 137 EBU-II mwatson@ucsd.edu Teaching Assistants Rahul Kapadia Chad Loftis Kevin Mandich William Rudwall Nick Busan 137 EBU-II nbusan@ucsd.edu e-mail rskapadi@ucsd.edu cloftis@ucsd.edu kmandich@ucsd.edu wrudwall@ucsd.edu Steve Roberts 137 EBU-II...

Register Now

Unformatted Document Excerpt

Coursehero >> California >> UC Davis >> PHYS 123

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
170: MAE Experimental Techniques Fall 2010 Faculty Prof. Farhat Beg 471, EBU-II 858-822-1266 fbeg@ucsd.edu Office hours:Thursdays, 1-2:30 pm Technical Staff Mike Watson 137 EBU-II mwatson@ucsd.edu Teaching Assistants Rahul Kapadia Chad Loftis Kevin Mandich William Rudwall Nick Busan 137 EBU-II nbusan@ucsd.edu e-mail rskapadi@ucsd.edu cloftis@ucsd.edu kmandich@ucsd.edu wrudwall@ucsd.edu Steve Roberts 137 EBU-II steveroberts@ucsd.edu office hours Wed., 1-2 pm, 273, EBU 2 Mon., 12-1 pm, 312, EBU 2 Fri., 2-3 pm, 126, EBU 2 Mon., 12-1 pm, 213, CMMR Prof. Renkun Chen 261, EBU-II 858-822-7980 rkchen@ucsd.edu Office hours: Tuesdays 3:30-5:00 pm Unless otherwise noted, TA office hours will be held in the lab LabVIEW Lecture Specialist Chad Loftis Lab. TA sections Sections in( ) Tuesday ROOM 126 (A01) Rahul 9:00-11:50 AM (A02) Will 1:00-3:50 (A03) Will (A04) Will 9:00-11:50 AM 1:00-3:50 PM ROOM 312 (B01) Chad (B02) Chad (B03) Kevin (B07) Chad (B04) Byung (B05) Byung 9:00-11:50 AM 1:00-3:50 PM 9:00-11:50 AM 1:00-3:50 PM 9:00-11:50 AM 1:00-3:50 PM Wednesday Thursday (A05) Rahul 9:00-11:50 AM (A06) Kevin 1:00:30-3:50 PM (A07) Cancelled (A08) Rahul 8:00-10:50 AM Friday (B06) Byung 9:00-11:50 104 5:00 6:50 9:00 AM pm Lectures Peterson Hall 110 & Labs Tuesday Fridays, 126 EBU-II and 312 EBU -II . http://mae170.ucsd.edu/ A.J. Wheeler and A.R. Ganji, Introduction to Engineering Experimentation, 2nd Ed., Prentice Hall, 2003. This is a recommended text, it is not mandatory. Two copies in the S&E library reserves. Website Textbook This class will teach the basics of data collection and analysis, using a number of laboratory instruments and computer-based data acquisition. National Instruments LabVIEWTMlanguage will be used for data collection and processing. Treatment of uncertainty in experimental data and succinct, accurate presentation of results in written reports will be emphasized. There are 8 labs (1st-8thweek), 9thweek is for practice and make-up labs, and 10th week is for Lab Practical Final exam Description Assignments (each week = 9% x 8 labs = 72%) (Lab quiz- closed book, no notes) + One-page pre-lab. report + Assessment by TA/staff of your work/lab. Notebook + LabView VI + Lab. report Grading Midterm I = 8% Lab Practical final = 10% Midterm II exam =10% The prelab. report (1/2 1 page, should be typed) should consist of a brief outline in your own words, of the aims and procedures of that particular lab. Week 1: In lab. Lab. Quiz (25%) Questions on basic circuits (Worksheet + Motivational questions on website) to be handed in Lab session in Week 2 Week 2: In lab. Prelab. writeup (15%), Lab. Quiz (25%), Continuous Assessment (15%), To be handed in Lab session in Week 3: Lab. Report (30%), LabView VI (15%) Weeks 3-5: In lab. Prelab. writeup (10%), Lab. Quiz (20%), Continuous Assessment (15%), To be handed in Lab session the week after lab.: Lab. Report (40%), LabView VI (15%), Weeks 6-8: In lab. Prelab. writeup (10%), Lab. Quiz (10%), Continuous Assessment (10%), To be handed in Lab session the week after lab.: Lab. Report (60%), LabView VI (10%) Exams: Midterm 1: Monday, October 25, 6-6:50 pm Midterm 2: Monday, November 29, 5-6:30 pm There may be pop-quizzes during lectures No written final exam. Lab practical exam during regular lab sessions in 10th week. Faculty office hours: Your first line of defense is generally the TA. Rahul Kapadia (rskapadi@ucsd.edu) is the head TA. If your TA isnt able to help you, try Rahul. If this doesnt help, please contact the faculty. Email the faculty who gave the lecture that week for questions about the lab. Please also copy the other faculty in your email. For ALL email communication please put MAE 170 in the subject or there is little chance it will be seen and recognized as class-related. Prof. Beg will handle administrative matters for the class, please contact him with any questions that you may have about the class, lab assignments, scheduling, etc. Class policy: This is a class of over 300 people, and hence we have firm rules about Class conduct, etc. will There be no make-ups of quizzes or exams without ADVANCED authorization. Pre-lab and lab reports are due at the beginning of your lab session, they will be considered late if they are submitted more than 10 minutes after the session starts. You will get your lab reports and homework back within one week of submission. The in-lab quizzes will be administered within 5 minutes of the beginning of the lab. (NO make-up quizzes if you are late!) i.e., BE ON TIME! LabVIEW VIs: An important part of this class includes the preparation of LabVIEW VIs (Virtual Instruments) to acquire data using a PC and data acquisition card. We have an agreement with the National Instruments to use the program online for educational purposes. The software can be found in the EBU-II computer labs. Lab Reports/Notebooks: In depth discussion of lab reports will be during Lecture 2 Lab reports must be neatly prepared using a word processor and must be stapled no handwritten lab reports, no paper clips are acceptable. There is a maximum of 4 pages for the body of the report. Longer reports will be penalized. You are also required to submit an electronic version of your lab report to your TA (without lab book pages). Each person (not each group) is required to have their own lab notebook with carbon copies, and staple the copies from each book to the back of their reports as an Appendix. For data taken electronically, make notes about the experimental condition, filename, etc. Graphs should be taped or stapled into lab books. Before the lab, you should write in the lab book a few paragraphs about the procedure and what you expect will happen. Your TA will come by to check each persons understanding and to check each Notebook t o make sure that your lab book includes all of the proper preparation and subsequent data. Your TA or staff member must sign-off your lab book before you/your partner leaves Lab reports without appended data and/or lab notebooks that are not up to standards may result in SEPARATE lab reports written by members of a group. University of California policies on Academic Integrity will be strictly enforced. Please talk with the instructors if you have any questions or observe any questionable behavior. Details on the University policies may be found on the web here: http://www-senate.ucsd.edu/manual/Appendices/app2.htm. Safety Rules: At the beginning of each lab Mike, Nick, or the TA will give you a reminder of what you are to accomplish in the lab and an overview of safety issues. The labs are inherently safe, but experiments can always be made unsafe through improper adherence to safety rules. In the decades that this class has been taught, there has been only non-trivial accident (overturning of a pot of boiling water) as regrettable as this accident was, we do not think it necessitates the discontinuation of experiments with boiling water. It is your responsibility to take common sense precautions and to be careful in the lab. If you ever feel that there may be a safety issue (with yourself or another group) while you are in the lab, DO NOT CONTINUE TELL MIKE, Nick, or the TAs immediately and your concern will be addressed. We expect that by working together, the next many thousands of students can complete this lab course without any mishaps. Lecture Schedule WEEK 1 2 3 4 5 DATE 09/27 10/04 10/11 10/18 10/25 DESCRIPTION Class overview, introduction to instrumentation and LabVIEW A/D conversion, sampling rates, error analysis and lab report writing Filters and frequency analysis Operational amplifiers and Wheatstone bridge Measurement of temperature and heat transfer coefficient Midterm exam I Pressure transducers and accelerometers Measurement of strain and force, beam vibration Measurement and control of position and velocity No lecture. Make-up labs and practice for labs for lab practical final Midterm exam II and Lab Practical Final Exam INSTRUCTOR Beg, Chen Beg, Chen Beg Chen Beg, Chen 6 7 8 9 10 11/01 11/08 11/15 11/22 11/29 Chen Chen Chen NO FINAL WRITTEN EXAM Version current 09/21/10 4
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

UC Davis - PHYS - 123
MAE 4262: ROCKETS AND MISSION ANALYSIS Fall 2010, Tuesday and Thursday 11:00-12:15, Room: S110 Course Website: http:/my.fit.edu/~dkirk/4262 Daniel R. Kirk Email: dkirk@fit.edu Phone: (321) 674-7622 Office: Olin Engineering Center 215 Office Hours: Tuesday
UC Davis - PHYS - 123
Momentum Transport in Fluids(created by Bob Roselli; edited by DWG, May 20th, 2005) 1. Fluid Fundamentals1.1. Definition of a Fluid 1.1.1. Gases 1.1.2. Liquids 1.2. Fluid Thermodynamic Properties 1.2.1. Density 1.2.2. Pressure 1.2.3. Temperature 1.2.4.
UC Davis - PHYS - 123
Graduate Course Outline and ScheduleDepartment of Aeronautics and Astronautics National Cheng Kung UniversityCourse name: (Chinese) j (English) Jet Propulsion Theory Course No. Course Objectives: Instructor: Muh-Rong Wang Credits: 3 Semester: Spring, Fa
UC Davis - PHYS - 123
Plasmas as Fluids At this point we need to use a number of basic equations that describe plasmas as fluids. While it is possible to calculate these equations from first principles, using Maxwells electromagnetic field equations and Maxwells velocity distr
UC Davis - PHYS - 123
UC Davis - PHYS - 123
R OCKET PROPULSION H OME ASSIGNMENT 1 ( Chapters 2 and 10)1. Calculate the static thrusts of the rocket and turbojet engine described in thefigure. The thrust T is the force necessary to prevent horizontal movement of t he engine. Both engines exhaust a
UC Davis - PHYS - 123
UC Davis - PHYS - 123
San Diego Mesa College Fall 2009 Physics 125 General Physics CRN 82341,82364 Instructor: Office: K112A Office Hours: Course Website: http:/classroom.sdmesa.edu/kwong/ Dr. S.K.Wong Phone: 619-388-2252 M 9:30 am-12:30 pm W 12:30 pm-2:30 pm Other times by ap
UC Davis - PHYS - 123
ME707 MICROSCALE HEAT TRANSFER (Fall 2002) The main objective of the course is to provide students with microscopic understanding of heat transfer phenomena. The course covers the concept of energy carriers - phonon, electron and photon and analytical met
UC Davis - PHYS - 123
Picture 1
UC Davis - PHYS - 123
1. The Fourier T ransform of the p robability density, P(x) is+T (k) = ( e^(ikx)*P(x)-dxand is called the characteristic function of the r andom variable x. Let F(k) = log (T(k) and show t hata) b) c)F(0) = 0 F(0) = i<x> F (0) = i<( x)^2>2. Take P
USC - CS - 578
ModelingandNotationsSoftwareArchitecture Lecture10CopyrightRichardN.Taylor,NenadMedvidovic,andEricM.Dashofy.Allrightsreserved.Software Architecture: Foundations, Theory, and PracticeContinuingOurSurveyGenericapproaches x Naturallanguage x PowerPoints
UCSD - BIBC - 120
USC - CS - 578
TheBigIdeaSoftwareArchitecture Lecture1CopyrightRichardN.Taylor,NenadMedvidovic,andEricM.Dashofy.Allrightsreserved.Software ArchitectureFoundations, Theory, and PracticeTheOriginsSoftwareEngineershavealwaysemployedsoftware architectures x Veryoftenw
USC - CS - 578
Architectures inContextSoftwareArchitecture Lecture2CopyrightRichardN.Taylor,NenadMedvidovic,andEricM.Dashofy.Allrightsreserved.Software ArchitectureFoundations, Theory, and PracticeFundamentalUnderstandingArchitectureisasetofprincipaldesigndecision
USC - CS - 578
BasicConceptsSoftwareArchitecture Lecture3CopyrightRichardN.Taylor,NenadMedvidovic,andEricM.Dashofy.Allrightsreserved.Software ArchitectureFoundations, Theory, and PracticeWhatisSoftwareArchitecture?Definition: x Asoftwaresystemsarchitectureistheset
USC - CS - 578
DesigningArchitecturesSoftwareArchitecture Lecture4CopyrightRichardN.Taylor,NenadMedvidovic,andEricM.Dashofy.Allrightsreserved.Software ArchitectureFoundations, Theory, and PracticeHowDoYouDesign?Where do architectures come from? Creativity1) 2) 3)
USC - CS - 578
ArchitecturalStylesSoftwareArchitecture Lecture5CopyrightRichardN.Taylor,NenadMedvidovic,andEricM.Dashofy.Allrightsreserved.Software ArchitectureFoundations, Theory, and PracticeObjectOrientedStyle Componentsareobjects x Dataandassociatedoperations
USC - CS - 578
Stylesand GreenfieldDesignSoftwareArchitecture Lecture6CopyrightRichardN.Taylor,NenadMedvidovic,andEricM.Dashofy.Allrightsreserved.Software ArchitectureFoundations, Theory, and PracticeHeterogeneousStylesMorecomplexstylescreatedthroughcompositionof
USC - CS - 578
SoftwareConnectorsCopyrightRichardN.Taylor,NenadMedvidovic,andEricM.Dashofy.Allrightsreserved.Software ArchitectureFoundations, Theory, and PracticeHow do we enable components A and B to interact?Attach adapter to A Introduce intermediate form Separa
USC - CS - 578
IntroductiontoModelingSoftwareArchitecture Lecture9CopyrightRichardN.Taylor,NenadMedvidovic,andEricM.Dashofy.Allrightsreserved.Software Architecture: Foundations, Theory, and PracticeObjectivesConcepts x Whatismodeling? x Howdowechoosewhattomodel? x
USC - CS - 578
S t a b le M a t c h i n g P r o b le mPerfect matching: everyone is matched monogamously. Each man gets exactly one woman. Each woman gets exactly one man.! !S t a b le M a t c h i n g P r o b le mQ. Is assignment X-C, Y-B, Z-A stable?Stability: no
USC - CS - 570
L in e ar T im e : O (n )2 .4 A S u r v e y o f C o m m o n R u n n i n g T i m e sLinear time. Running time is proportional to input size. Computing the maximum. Compute maximum of n numbers a1, , an.max ( a1 for i = 2 to n cfw_ if (ai > max) max ( ai
USC - CS - 570
Asymptotic Notation& Review of Functions Review of Functions8 October 2008CS 570-notationFor function g(n), we define (g(n), big-Theta of n, as the set: (g(n) = cfw_f(n) : positive constants c1, c2, and n0, such that n n0, we have 0 c1g(n) f(n) c2g(n)
USC - CS - 570
1) Summer 2008 Q7 Prove or give a counterexample: Let G be an undirected, connected, bipartite, weighted graph. If the weight of each edge in G is +1, and for every pair of vertices (u,v) in G there is exactly one shortest path, then G is a tree.If G is
USC - CS - 570
Master theorem - Wikipedia, the free encyclopediahttp:/en.wikipedia.org/wiki/Master_theoremHelp us provide free content to the world by donating today!Master theoremFrom Wikipedia, the free encyclopediaIn the analysis of algorithms, the master theore
USC - CS - 570
USC - CS - 585
Session 6 : Object-Relational Databases Object-Oriented Databases Introduction The need for extensions in Relational Data Model Classification of database systems Introduce extensions to the basic relational model Applications that would benefit from
USC - CS - 585
CS 585 Fall 2010CS 585 Fall 20101Farid ParviniOutline Instructor Logistics Prerequisite Introducing to DBMCS 585 Fall 20102Farid ParviniFarid Parvini Website :http:/www-scf.usc.edu/~fparvini/ Education: Ph.D. in Computer Science M.S. in Compu
USC - CS - 585
Database design process review" Entity Sets" Relationship Sets" Design Issues " Mapping Constraints " Keys" E-R Diagram" Extended E-R Features" Design of an E-R Database Schema" Reduction of an E-R Schema to Tables"1.Requirements Analysis" What data i
USC - CS - 585
Formally, given sets D1, D2, . Dn a relation r is a subset of D 1 x D 2 x x D n Thus a relation is a set of n-tuples (a1, a2, , an) where a i D i! Example: if###customer-name = cfw_Jones, Smith, Curry, Lindsay #customer-street = cfw_Main, North, Park
USC - CS - 585
Basic Structure " Set Operations" Aggregate Functions" Null Values" Nested Subqueries" Derived Relations" Views" Modication of the Database " Joined Relations" Data Denition Language "branch (branch-name, branch-city, assets) customer (customer-name, cu
USC - CS - 585
Review Some Examples" Application Programming" Embedded SQL, " Dynamic SQL " ODBC " JDBC"An Instance of Boats An Instance of Sailors An Instance of Reserves1. Construct the cross-product of tables in the from-list2. The second step is to apply the qua
USC - CS - 585
Web Interfaces to Databases" Performance Tuning" Performance Benchmarks" Standardization" E-Commerce" Legacy Systems"2 The Web is a distributed information system based on hypertext." Most Web documents are hypertext documents formatted via theHyperTe
USC - CS - 585
Session 7 : Spatial DB & Spatial IndexingCS585 Fall 2010 Farid Parvini1Spatial DB Outline Introduction Modeling Querying Data StructuresSpatial Indexing Outline Introduction Spatial Indexing R-Tree R+-Tree QuadtreesSpatial Database Applications Va
USC - CS - 585
Session 10: XML & XML QueryCS585 Fall 2010 Farid ParviniIntroduction XML: Extensible Markup Language Defined by the WWW Consortium (W3C) Originally intended as a document markup language not adatabase language Documents have tags giving extra infor
USC - CS - 585
Session 11: Database System Architectures & Distributed Database Centralized Systems Client-Server Systems Parallel Systems Distributed Systems Network Types Distributed DatabasesCS585 Fall 2010 Farid ParviniCentralized Systems Run on a single com
USC - CS - 585
OLAP (Online Analytical Processing)Excerpt from OLAP Presentation by Cyrus ShahabiUSC - CSCI585 Fall 2010 Farid Parvini1ContentIntroduction to Decision Support Multidimensional DatabasesFocus Application: OLAP Prefix-Sum Data Cube Dynamic Data Cub
USC - CS - 585
OLAP (Online Analytical Processing): Wavelet-based ApproachesExcerpt Partially from Presentation by Cyrus ShahabiUSC - CSCI585 Fall 2010 Farid Parvini1ContentIntroduction to Multidimensional Databases Focus Application: OLAP Prefix-Sum Data Cube Dyn
USC - CS - 585
1 Temporal Data" Spatial and Geographic Databases" Multimedia Databases" Mobility and Personal Databases"2 While most databases tend to model reality at a point in time (atthe `current' time), temporal databases model the states of the real world acro
USC - CS - 578
Homework 1: Connecting requirements and architecture using partial behavior modelsIn this assignment you will explore the relation between functional requirements specifications and an architecture-level behavioral specification of a software system. Ini
USC - CS - 578
Homework #2 AssignmentThe Call Center Customer Care (C4) Case Study, provided as an appendix to this assignment, presents an initial high level (Level 1) architectural breakdown for the system used by a large telecommunications company. This system compr
USC - CS - 578
Homework #3 AssignmentIn the last assignment you were tasked with designing an architecture for the C4 system that achieves particular requirements and use cases. In this assignment, you will be provided with the C4 system architecture designed by a deve
USC - CS - 578
CS 578 Software Architectures Fall 2010Homework Assignment #4 (The Final Project) Due: Wednesday, December 1, 2010, 11:59:59pmThis is an individual assignment, at the end of which you will be expected to demonstrate your solution to the instructor and/o
USC - CS - 561
CS 561: Artificial IntelligenceInstructor:TA:Sofus A. Macskassy, macskass@usc.eduHarris Chiu (chichiu@usc.edu), Wed 2:45-4:45pm, PHE 328 Penny Pan (beipan@usc.edu), Fri 10am-noon, PHE 328Lectures: MW 5:00-6:20pm, ZHS 159 Office hours: By appointment
USC - CS - 561
CS 561: Artificial IntelligenceInstructor:TA:Sofus A. Macskassy, macskass@usc.eduHarris Chiu (chichiu@usc.edu), Wed 2:45-4:45pm, PHE 328 Penny Pan (beipan@usc.edu), Fri 10am-noon, PHE 328Lectures: MW 5:00-6:20pm, ZHS 159 Office hours: By appointment
USC - CS - 561
CS 561: Artificial IntelligenceInstructor:TA:Sofus A. Macskassy, macskass@usc.eduHarris Chiu (chichiu@usc.edu), Wed 2:45-4:45pm, PHE 328 Penny Pan (beipan@usc.edu), Fri 10am-noon, PHE 328Lectures: MW 5:00-6:20pm, ZHS 159 Office hours: By appointment
USC - CS - 561
CS 561: Artificial IntelligenceInstructor:TA:Sofus A. Macskassy, macskass@usc.eduHarris Chiu (chichiu@usc.edu), Wed 2:45-4:45pm, PHE 328 Penny Pan (beipan@usc.edu), Fri 10am-noon, PHE 328Lectures: MW 5:00-6:20pm, ZHS 159 Office hours: By appointment
USC - CS - 561
gCSCI 561 Foundations of Artificial Intelligence Fall 2010 Instructor: Sofus A. Macskassy Project 1: A* Search (100 points) Due: October 11, 2010 1. IntroductionIn this project, you are required to use C/C+ or JAVA as the programming language to solve a
USC - CS - 561
CSCI 561 Foundations of Articial Intelligence Fall 2010Project 2: Logic Agent Due: 4:59 p.m., Nov 24, 2010(a) A Sudoku Puzzle(b) Corresponding SolutionFigure 1: Sudoku [Graphics from Wikipedia][1]1IntroductionThe goal of Sudoku puzzle is a board of
USC - CS - 561
CSCI-561 Fall 2010 Homework 3 Student name: _Macskassy Due Nov. 3, 2010 Student ID: _Question 1[Q1: 20 points]a). P Q is defined as being equivalent to (P Q) ^ (Q P). Based on this definition, show that P Q is logically equivalent to (P v Q) (P ^ Q).
USC - CS - 561
CSCI-561 Fall 2010 Homework 4 Student name: _Macskassy Due Nov. 17, 2010 Student ID: _Question 1 [30 points] Sudoku problem can be as general with size n2 x n2 . The rules are: (1) Each row contains unique number from 1 to n2. (2) Each column contains u
USC - CS - 561
CS 561: Artificial IntelligenceInstructor: TA: Sofus A. Macskassy, macskass@usc.eduHarris Chiu (chichiu@usc.edu), TBA Penny Pan (beipan@usc.edu), SAL 112, Fri, 10am-noonLectures: MW 5:00-6:20pm, ZHS 159 Office hours: By appointment Class page: http:/ww
USC - CS - 561
CS 561: Artificial IntelligenceInstructor:TA:Sofus A. Macskassy, macskass@usc.eduHarris Chiu (chichiu@usc.edu), TBA Penny Pan (beipan@usc.edu), SAL 112, Fri, 10am-noonLectures: MW 5:00-6:20pm, ZHS 159 Office hours: By appointment Class page: http:/ww
USC - CS - 561
CS 561: Artificial IntelligenceInstructor:TA:Sofus A. Macskassy, macskass@usc.eduHarris Chiu (chichiu@usc.edu), TBA Penny Pan (beipan@usc.edu), SAL 112, Fri, 10am-noonLectures: MW 5:00-6:20pm, ZHS 159 Office hours: By appointment Class page: http:/ww
USC - CS - 561
CS 561: Artificial IntelligenceInstructor:TA:Sofus A. Macskassy, macskass@usc.eduHarris Chiu (chichiu@usc.edu), Wed 2:45-4:45pm, PHE 328 Penny Pan (beipan@usc.edu), Fri 10am-noon, PHE 328Lectures: MW 5:00-6:20pm, ZHS 159 Office hours: By appointment
UCSD - BIBC - 120
Simons Rock - SD - 32703
Question bank for AP Final:http:/www.mhhe.com/cgi-bin/webquiz.pl Chapter 1 -Spring Semester1. The essential modifier used by geographers in forming their concepts is: a. absolute b. human c. relative d. spatial2. The statement that "the journey to sch
UCSD - BIBC - 120
IIT Kanpur - MOS - 204
Walsh College - ACC - 505
Quiz #1Your score on this exam is 12 out of 21 .Answer Key Question 1 (Worth 3 points)An employee accidentally overstated the year's advertising expense by $50,000. Which of the following correctly depicts the effect of this error? Cost of goods manufa