Register now to access 7 million high quality study materials (What's Course Hero?) Course Hero is the premier provider of high quality online educational resources. With millions of study documents, online tutors, digital flashcards and free courseware, Course Hero is helping students learn more efficiently and effectively. Whether you're interested in exploring new subjects or mastering key topics for your next exam, Course Hero has the tools you need to achieve your goals.
1 Page
LAB COMPUTER ROOMS FIN 3014
Course: FIN 3014, Spring 2012School: University of Texas
Rating:
Word Count: 288
Document Preview
3014 PRINCIPLES FIN OF BUSINESS FINANCE LAB SECTIONS Lab Section FIN 3014 Instructor Section Day Zhao, Lin Times TA Name Labs meet in Computer Rooms on the following dates: Date Date Date Computer Fri., 1-27 Fri., 2-24 Fri., 3-30 Room BB 3.02.06 Fri., 1-27 Teaching Assistant Fri., 2-24 Fri., 3-30 BB 3.02.18 Fri., 1-27 Fri., 2-24 Fri., 3-30 BB 3.02.06 2 F 9:00-9:50am 3 F 9:00-9:50am 4 F...
Unformatted Document Excerpt
Coursehero >> Texas >> University of Texas >> FIN 3014Course 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.
3014
PRINCIPLES FIN OF BUSINESS FINANCE
LAB SECTIONS
Lab Section
FIN 3014 Instructor Section Day
Zhao, Lin
Times
TA Name
Labs meet in Computer Rooms on the following dates:
Date
Date
Date
Computer
Fri., 1-27
Fri., 2-24
Fri., 3-30
Room
BB 3.02.06
Fri., 1-27
Teaching Assistant
Fri., 2-24
Fri., 3-30
BB 3.02.18
Fri., 1-27
Fri., 2-24
Fri., 3-30
BB 3.02.06
2
F
9:00-9:50am
3
F
9:00-9:50am
4
F
10:00-10:50am
5
F
11:00-11:50am
Fri., 1-27
Fri., 2-24
Fri., 3-30
BB 3.02.06
6
F
12:00-12:50pm
Fri., 1-27
Fri., 2-24
Fri., 3-30
BB 3.02.06
7
F
1:00-1:50pm
Fri., 1-27
Fri., 2-24
Fri., 3-30
BB 3.02.06
8
F
2:00-2:50pm
Fri., 1-27
Fri., 2-24
Fri., 3-30
BB 3.02.06
9
M
4:30-5:20pm
Mon., 1-30
Mon., 2-20
Mon., 4-2
BB 1.01.04
10
M
4:30-5:20pm
Mon., 2-6
Mon., 2-27
Mon., 4-9
BB 1.01.04
11
W
4:30-5:20pm
Wed., 1-25
Wed., 2-22
Wed., 3-28
BB 1.01.04
12
W
7:00-7:50pm
Wed., 1-25
Wed., 2-22
Wed., 3-28
BB 3.02.18
13
M
7:00-7:50pm
Mon., 1-30
Mon., 2-27
Mon., 3.02.18
14
W
7:00-7:50pm
Wed., 4-2
BB 1-25
Wed., 2-22
Wed., 3-28
BB 3.03.04
16
T
8:30-9:20am
Tues., 1-24
Tues., 2-21
Tues., 3-27
BB 3.02.18
17
R
8:30-9:20am
Thurs., 1-26
Thurs., 2-23
Thurs., 3-29
BB 3.02.18
18
T
3:30-4:20pm
Tues., 1-24
Tues., 2-21
Tues., 3-27
JPL 3.02.38
19
T
7:00-7:50pm
Juan (Carol) Yang
Tues., 1-24
Tues., 2-21
Tues., 3-27
BB 1.01.04
20
R
7:00-7:50pm
Lida Sun
Thurs., 1-26
Thurs., 2-23
Thurs., 3-29
BB 1.01.04
Dahlquist, Julie
Kittiakarasakun, Jullavut
Sweet, Ronald B.
Kittiakarasakun, Jullavut
Williams, Michael R.
Cadena, Anjelita
Lin Zhao
Shovna Tripathy
Curtis Carter
Troy Brady
Lida Sun
Troy Brady
Zhao, Lin
Anish Karedia
21
R
8:30-9:20pm
Michael Williams
Thurs., 1-26
Thurs., 2-23
Thurs., 3-29
BB 3.02.18
22
T
8:30-9:20pm
Michael Williams
Tues., 1-24
Tues., 2-21
Tues., 3-27
BB 3.02.18
901
F
11:30-12:20pm
Anjie Cadena
Fri., 1-27, 11:30-1:20
Fri., 2-24, 11:30-1:20
Fri., 3-30, 11:30-1:20
FS 2.512
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:
Below is a small sample set of documents:
University of Texas - FIN - 3014
FIN3014Principles of Business Finance LabMath and Accounting ReviewThe work in FIN3014 draws heavily upon your background in math and accounting. Youshould be familiar with the following math and accounting concepts. Your professor willassume that you
University of Texas - STATS - 3053
Microsoft Excel 11.0 Sensitivity ReportWorksheet: [Book1]Sheet1Report Created: 1/22/2009 1:16:06 PMAdjustable CellsFinal Reduced ObjectiveCell Name ValueCostCoefficient$C$1 X505$C$2 Y307AllowableIncreaseAllowableDecrease2 0.3333333333
University of Texas - STATS - 3053
To/From NPlant1Plant2ActualDemand5005050W$To/From NPlant1Plant2$24$30E0454545WActual05520E$30$405050Objfun$40$423210Cap5050To/From AWFGUActualDemandB000111To/From ABW50F28G35U25CActual0100
University of Texas - STATS - 3053
0.75 X10.0990.9 X20.2130.8 X30.0880.7 X40.099ObjFun 0.406LHS <=>VitC6 >=Prot5 >=Iron5 >=Weight0.5 =1989vITc Prot Iron4254 X19 1201768 X216 10141989 X38 1015X41087RHS60.42550.0186464088560,000,000.000.51,118,784.53
University of Texas - STATS - 3053
NormalCrash$/TimeDaysNormal NewTask IP Cost Time Time Cost TimeCrashedAInitialPaperwork 1 112 100316.002BBuildBody 3A5035030CBuildFrame2 135A1252110.00 1.08E012DFinishBody 3B30365117.500AEFinishFrameC457782412.330
University of Texas - STATS - 3053
W1W2W3W4Leaves CapPlant1Plant2Plant3DummyPInWareCostPlant1Plant2Plant3Dummy253045140W1W2W3$4$7$10$100$100$6$12$100W4S1S2S3OutWare ZeroCheckW1W2W3W4ArrivesDemand454545Obj$3$8$100S1W1W2W3W4S2$3$2S3$4
University of Texas - STATS - 3053
W1Plant1Plant2Plant3DummyPInWareCostPlant1Plant2Plant3DummyW2W3W40045045W130015452020W2W3$4$7$10$100$100$6$12$100Leaves Cap25304503525250W4$3$8$100253045140Obj$4,705$1,205S1W1W2W3W4ArrivesDeman
University of Texas - ECO - 3033
NAME _FIN3014-Principles of Business FinanceSpring 2010Exam 1-Test Form APut away all items except for your ParScore, Pencils, UTSA ID, and calculator. Only a HP10BII or TIBAII calculator may be used. NO OTHER ELECTRONIC ITEMS MAY BE USED. Use of any
University of Texas - ECO - 3033
University of Texas - ECO - 3033
ECO 3033, Sample Items, QUIZ 1True/False(On a Scantron sheet, these would be A = True, B = False.)_B_ 1. The derivative of total product gives us average product._A_ 2. A production function is a mathematical statement of the way that the quantity of
University of Texas - ECO - 3033
University of Texas - ECO - 3033
University of Texas - ECO - 3033
Additional Items, ECO 3033 Quiz 1Multiple ChoiceIdentify the letter of the choice that best completes the statement or answers the question._B_ 1. A demand curve shows how quantity demanded changes with price. This implies thata. only price shifts a d
University of Texas - ECO - 3033
University of Texas - ECO - 3033
Sample Breakeven Problem for Exam 2.A firm has the following income statementFor a month.Sales: 3,000 units at $80/unitLess: Cost of Goods Sold.Variable Production CostFixed Production Cost$240,000180,00019,800Gross Margin40,200Selling and Adm
University of Texas - ECO - 3033
University of Texas - ECO - 3033
University of Texas - ECO - 3033
University of Texas - MGT - 3013
MGT 3013.007Introduction to Organization Theory, Behavior, and ManagementSpring 20122:00 3:15 pm, TR, BB 2.01.02Instructor:Consuelo M. Ramirez, PhDOffice Hours:TR: 10:30 11:00 a.m.12:15 1:15 p.m.4:45 5:15 p.m.Or by appointment.Office, BB 4.05.1
University of Texas - MGT - 3013
Spring 2012 MGT 3013 Exam 4 A Chapters 10, 11 & 12Multiple ChoiceIdentifythechoicethatbestcompletesthestatementoranswersthequestion.Thisexamconsistsof40questions,andeach questionisworth.25ofapoint.Thetotalamountofpointsavailableinthisexamequals10points
University of Texas - MATH - 1033
MAT 1033 Test 1 ReviewName_Solve on separate paper and select the best answer.MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.Simplify the expression. Write answer with positive exponents. Variable
Maryland - BSCI - 330
1/24/12BSCI 330Cell Biology and PhysiologyDrs. Cao & KwakTime: Tue & Thu 9:30-10:45 amLocation: Bioscience Research Bldg 1101Welcome! LecturesDrs. Kan Cao & June Kwak LaboratoryCoordinator: Dr. Hadiya WoodhamSix Teaching AssistantsLecturer 1 (
Maryland - BSCI - 330
1/31/12 Lecture 3: The Nucleus The nuclear membrane 1 1/31/12 The nuclear pore complex (NPC)EM From the Nuclear side Nuclear Transport (Gated transport) [Dr. Kwaks part]2 1/31/12 Lamina AssemblyIntermediate proteins proger
Maryland - BSCI - 330
Lecture 4: Membranes1Key functions Compartmentalizes the cell Provides a selectively permeable barrier. Not everything crosses the membrane Responds to external signals Hormones Stress signals Transduces energy Mitochondria Chloroplasts Provid
Maryland - BSCI - 330
!"#"$!%&'()*+'%,%-./01'12+3.'%456)'17-8%9%)5:'6%0;%<=:=/6%>?06:?0<=:=/%@<5(0<=:=/%A?0<'6)'+0<%&=:=/%3660(=3)'/%:+0)'=.6%7>'+=:?'+3<%:+0)'=.6%7&=:=/%3.(?0+'/%:+0)'=.6%7!"#$%&'()*&+#$,"-)-Polar heads on outside, nonpolar tails on inside-How prot
Maryland - BSCI - 330
!"#$"#!%&'()*+'%,%-.)/(0/12+./1%312%405/+/6537)%!"#$#%&-Mitochondia is aerobicbacteria because theyc an metabolize oxygen-End up with anaerobic, heterotrophicprokaryote: still DNAfloating in thec ytoplasm-Plasma membranegets invaginated andp
Maryland - BSCI - 330
Lecture 2. Cell structureProkaryotes vs eukaryotesOrigin of eukaryotic cellsOrganelles in eukaryotesMajor macromolecules in eukaryotic cellsProkaryotic vs Eukaryotic cellEpithelial cell (rat)E. coli Where is the genetic material? Any cytoplasmic
Maryland - BSCI - 330
Cytoskeleton and Nucleoskeleton (I)Chapter 16****Green signal: microtubulesRed Signal: actin filaments or microfilamentsCommon properties- Made of proteins- Dynamic properties- Form stablestructures- Coordinate withinternal andexternal sign
Maryland - BSCI - 330
Office hrs: Tues & Thursday 4:00-5:00 pm.jkwak@umd.eduTechniques in Cell and Molecular Biology!!Chapter 9: Visualizing Cells!Chapter 8: Manipulating Proteins, DNA, and RNA!!!Chap 9: light microscope, radiosotopeChap 8: 1.cell culture, hybridomas,
Maryland - BSCI - 207
2/5/12The prokaryotes are coming,the prokaryotes are coming!The prokaryotes are coming,the prokaryotes are coming!Brief introductionEvolutionary originsBasic featuresBacteria several major groupsBacteria pathogenesisArchaea extremophilesMetabol
Maryland - BSCI - 207
2/6/12Prokaryotic Diversity II Coming attractionsEvolutionary originsBasic featuresBacteria several major groupsBacteria - pathogenesisArchaea extremophilesMetabolic diversityBioenergetics redox reactionsBioenergetics - electron transportchains
Maryland - BSCI - 207
2/9/12Prokaryotic Diversity III Coming attractionsClass announcements1. Today HW2 phylogenetic trees due2. No homework due next week3. Next week - Use your study group to prepare for first mid-term(Classes - Introduction (1) to Bioenergetics (9 on M
Maryland - BSCI - 207
2/12/12Prokaryotic Bioenergetics All That Jazz aboutRedox ReactionsClass announcements1. Today Diagnostic assignments due2. Optional review sessions for first mid-term exam @Wednesday 10-12, Room TBDFriday Room and Time TBDBring your questions!3.
Maryland - BSCI - 207
Eukaryotic Diversity I1. Optional review sessions for 1st mid-term examWednesday 10-12, 2242 HJ PattersonFriday 3-4:30, Room TBDBring your questions!2. GSS sessions TH at 5-6 in PHYS 14023. Todd office hours at review session today4. Use your study
Maryland - BSCI - 207
Eukaryotic Diversity IPrinciples of Eukaryotic Diversity1. Optional review sessions for 1st mid-term examWednesday 10-12, 2242 HJ PattersonFriday 3-4:30, Room TBDBring your questions!2. GSS sessions TH at 5-6 in PHYS 14023. Todd office hours at rev
Maryland - BSCI - 207
Endosymbiosis and EukaryoticDiversity Todays GAEC & R 28.1Endosymbiosis and EukaryoticDiversity Todays GAE1)The role of models in BSCI 207 toassemble, visualize, and applyfundamental concepts2)Todays GAE construct physicalmodels of the process of
Maryland - BSCI - 207
Principles of Eukaryotic DiversityEukaryotic Diversity II1. Friday Endosymbiosis HW due2. Friday - GAE involves a computersimulation of diffusion3. One laptop per group of 3 or twolaptops per group of 4 or 5 withdownloaded app. Wolfram CDF Player,
Maryland - BSCI - 207
2/23/12Initial setup1. Open Wolfram CDF Player andRandomWalkCircles 5 simulation.Click Enable Dynamics button.2. Adjust the stimulation window byexpanding the inner square to fillthe screen as shown here.3. Open your Google account anduse the lin
Maryland - BSCI - 207
The Evolution of Plants They Made the Land GreenTheyDiffusion rate = Particles past circle 4Simulations #3-#5 Class results1. Next Friday HW5. Diffusion homework due. Available atHomework Assignment link.Ficks First Law of DiffusionJ = -DCxJare
Maryland - BSCI - 207
The Evolution of Plants They Made the Land Green, Part 2Bryophytes - non-vascular plantsThree phyla: liverworts, hornworts, mossesAbundant in moist habitatsPersistent gametophytes, ephemeral dependent sporophytesZygotes divide to form diploid embryos
Maryland - BSCI - 207
3/27/12 Announcements Friday in PLS 1140 at 9 and 10 AM Exams returned at end of class Lifes Fundamental Processes Structure and Function RelationshipsDevelopment Gas exchange Circula-on (intercellular
Maryland - BSCI - 207
Gas Exchange: Moving molecules(Mostly O2)BSCI 207: Organismal BiologyOrganismal perspectiveForm and functionDesign principlesEvolutionary surveyPhysics and phylogenyBSCI 105 / BSCI 106or AP Biology coursewww.vashonsd.wednet.edu/everest/itinerary
Maryland - BIOM - 301
Winter 2012Chapter 10 Discussion AssignmentName: Sadhvi SaxenaSection: 0103Paired vs. Unpaired StudiesFor the examples below, decide whether the study should be run as a paired study or anunpaired study. 1pt each1. You want to look at the impact of
Maryland - BIOM - 301
Discussion over Chapter 12Winter 2012Name_Sadhvi Saxena_Section_0103_ANOVA is a statistical test for analyzing 3 or more means. The results will tell us if atleast 1 mean is significantly different from the others but does not tell us which meansare
Maryland - BIOM - 301
Discussion over Chapter 12Winter 2012Name_Sadhvi Saxena_Section_0103_ANOVA is a statistical test for analyzing 3 or more means. The results will tell us if atleast 1 mean is significantly different from the others but does not tell us which means are
Maryland - BIOM - 301
LAST DISCUSSIONName: Sadhvi Saxena Section: 0103For the following, please fill in the appropriate statistical test that should be used to analyze the data. IFTHE TEST IS A PARAMETRIC TEST, determine if it is a ONE or TWO TAILED TESTWhat is the appropr
Maryland - BIOM - 301
Chapter 7 and Chapter 8 DiscussionSaxenaWinter 2012Name: SadhviSection: 0103All problems worth 2 ptsUnderstanding Sample Variability and the Central Limit Theorem1. The standard error is a measure of the sampling variability between possible sample
Maryland - BIOM - 301
Chapter 7 and Chapter 8 DiscussionWinter 2012Name: Sadhvi SaxenaSection: 0103All problems worth 2 ptsUnderstanding Sample Variability and the Central Limit Theorem1. The standard error is a measure of the sampling variability between possible sample
Maryland - BIOM - 301
Winter 2012Discussion Exercise #1Name: Sadhvi SaxenaSection:01031. Types of VariablesIt is important that you can identify different types of variables as Qualitative (nominal orordinal) and Quantitative (discrete or continuous). Identify the variab
Maryland - BIOM - 301
Sadhvi SaxenaSection 0103The correlation coefficient is 0.88, meaning that there is a positive correlation, where thecommuting time in minutes tends to increase as the distance traveled (minutes) increases.The correlation is not perfect, but the linea
Maryland - BIOM - 301
Discussion Exercise #3Winter 2012Name: Sadhvi SaxenaSection:0103Probability1. List here the main issues that were discussed and how you decided to conduct thestudy.The way we chose the pasta was not random because they were not replaced, and it di
Maryland - BIOM - 301
Discussion Exercise #3Winter 2012Name: Sadhvi SaxenaSection:0103Probability1. List here the main issues that were discussed and how you decided to conduct the study.The way we chose the pasta was not random because they were not replaced, and it di
Maryland - BIOM - 301
Discussion Exercise for Chapter 5Winter 2012Name: Sadhvi SaxenaSection: 0103A. Binomial Distribution Sampling ExercisesBelow are 2 sampling exercises examining whether or not sample data follow a binomialdistribution. The goal is to demonstrate when
Maryland - BIOM - 301
Chapter 5Discrete Probability DistributionsLets start with Random Variables A random variable is simply a variable (x)whose value depends on the outcome of achance operation Lets say you want to roll 2 dice and find the sumtotal spots showing on to
Maryland - BIOM - 301
Chapter 12ANOVAAnalysis of VarianceSo Far:Statistical tests have all been aboutCOMPARISONS1 population tests: Does the Parameter =some value?2 population tests: Does Population A =Population B?Conceptually for a 2 sample ttestWe asked if the di
Maryland - BIOM - 301
Chapter 6Normal Probability DistributionsRemember:Random Variables single outcomedetermined by chanceQuantitativeDiscreteChapter 5ContinuousChapter 6Chapter 6:Continuous Random Variablea quantitative, continuous variableoutcome determined by
Maryland - BIOM - 301
Chapter 7Sample VariabilityFinally getting to the exciting stuffSo far-collecting data-simple descriptions of sample data-basic concepts of probabilityNow: final steps to turn data into usefulinformation making populationstatements based on sampl
Maryland - BIOM - 301
Introduction to Statistical InferencesChapter 8Topics 1) Inference: Point Estimates and IntervalEstimates 2) Confidence Intervals 3) Hypotheses 4) 1st statistical test of InferenceSample Data used to Estimate True Population Values Remember the
Maryland - BIOM - 301
Hypothesis Testing So far: Ho: = some value assume known Statistical Test: z-testChapter 9Inferences Involving OnePopulationToday 1. Confidence Interval for when is NOTknown 2. Hypothesis test: = some value when is NOT known 3. Confidence Int
Maryland - BIOM - 301
Review: Quantitative DataAnalyses so farOne population tests2 populations test=?1 = 2p=? known not knownDependentPairedBlocked (2trts)paired t-testIndependentUnpairedCRD (2trts)2 sample t-testz-testt-testz test2=?chi square testQuanti