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.
Document Preview
Financial 15.515: Accounting Fall, 2000 Problem Set 4 Due 4pm Friday, October 6th in E52-325 Note 1: The first three problems in this problem set pertain to the financial statements of Barnes & Noble and were previously distributed to you for a prior problem set. 1. A note to the financial statements of Deere & Company reveals the following: Substantially all inventories owned by Deere &...
Unformatted Document Excerpt
Coursehero >> California >> Berkeley >> BUSINESS 230Course 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.
Financial 15.515: Accounting Fall, 2000 Problem Set 4 Due 4pm Friday, October 6th in E52-325 Note 1: The first three problems in this problem set pertain to the financial statements of Barnes & Noble and were previously distributed to you for a prior problem set. 1. A note to the financial statements of Deere & Company reveals the following:
Substantially all inventories owned by Deere & Company and it United Sta...
Textbooks related to the document above:
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:
Berkeley - BUSINESS - 230
Solution Key for 15.515 Final Exam1. 1a. 1b. 1c. 1d. 1e. 1f. Estimate or locate the following for fiscal 1997 (the year ending December 31, 1997). $1,321K Balance Sheet $4,712K Income Statement $26,858K - Note 3 $31K SCF, Investing Section $390K
Berkeley - BUSINESS - 230
BA 202ASolutions to Case B (Part 3)Part 3: Capitalization vs. Expensing Since the capitalized costs are amortized over 2 years, the subscriber costs incurred in 1997 would be amortized equally in 1997 and 1998. The costs incurred before 1998 (in
Berkeley - BUSINESS - 230
11. Locate or estimate the following items for fiscal year 1995 (the year ended December 31, 1995). Indicate where you found your answers or how you estimated them. (10 points, 2 for each item) Amount 1a Income Tax Expense Cash Received for disposi
Berkeley - BUSINESS - 230
BA 202ASolutions to Case B (Part 1)Part 1: Cash Flow Statement (a) Note: Since the question has been simplified, the cash flow number computed below is different from the reported number in AOLs 1999 cash flow statement. CFO = NI + non-cash expe
Berkeley - BUSINESS - 230
Nucor Corporation Consolidated Statements of EarningsNet sales . Costs and expenses: Cost of products sold . Marketing, administrative and other expenses . Interest expense (income) . Year Ended December 31, 1997 1996 $4,184,497,854 $3,647,030,387 -
Berkeley - BUSINESS - 230
Page 1 of 3The GAP, 1996 Annual ReportLANDS END, 1996 Annual ReportConsolidated Statement of Earnings (excerpt) Fifty-two Fifty-two Weeks Weeks Ended Ended February February ($000 except per share 3, 1996 1, 1997 amounts) Net sales 5,284,381 4,
Berkeley - BUSINESS - 230
Page 1 of 1015.515 Mid-term Examination October 26, 1999Student Name: _ANSWER KEY_ Section/Sea:_ _The exam consists of 1. This question and answer booklet numbered pages 1-8 2. A 3-page supplement with financial statement excerpts that are ne
Berkeley - BUSINESS - 230
EXAMPLE4USE OF FUTURES CONTRACTS TO HEDGE COPPER INVENTORYOn October 1, 2001, a mining company in Colorado (the "Company") has 10 million pounds of copper inventory on hand at an averagecost of 65 cents per pound. To protect the inventory from a
Berkeley - BUSINESS - 230
BA202Solutions to Case A (Part 2)You can solve this problem using T-accounts, journal entries, etc. Here is the solution based on T-accounts.Cash and equivalents BB 3,0512,000(1) 10,630 (2) (3) 5,001 (4) 10,000 4,000 (8) EB 1,422 (2) 10,630A
Berkeley - BUSINESS - 230
15.515 Mid-term Examination October 20, 1998Student Name: _SOLUTION KEY_Section/Sea: _ The exam consists of 1. This question & answer booklet (cover sheet, plus pages numbered 1 through 7) 2. A 6-page supplement with financial statement excerpts
Berkeley - BUSINESS - 230
10.33 continued,Order and derivation of computations: {g) Given. (1) $148,800 = $190,800- $42,000. (2) $69,000 = $27,600/.40. (3) Timing difference for depreciation is ($42,000 -$27,600)/.40 = $36,000. Because income taxes payable are less than i
Berkeley - BUSINESS - 230
Page 1 o f 915.515 Mid-term Examination October 26, 1999Student Name: _ Hand in all 8 pages There are 100 points in total - point allocations are stated at the beginning of each question. Write your answers in the space provided, and show a
Berkeley - BUSINESS - 230
Please note that when an estimate is required or there are multiple alternatives, briefly specify the assumptions behind your approach. To receive full credit, your assumptions must be consistent with the case facts and with the concepts we have stud
Berkeley - BUSINESS - 230
Pixar Animation StudiosPixar is a digital animation studio that is creating a new generation of animated feature films and related products. The firms primary objective is to develop computer animated feature films with a new threedimensional appear
Berkeley - BUSINESS - 230
IBM's Acquisition of Lotus Development Corp.1On July 5, 1995, International Business Machines (IBM) announced its acquisition of Lotus Development Corporation for a price of $3.2 billion ($2.9 billion in net cash). Lotus was a Cambridge, MA-based co
Berkeley - BUSINESS - 230
BA 202APart 2: Accounts ReceivablesSolutions to Case B (Part 2)(a) Provisions for bad debts = Sales * Percentage 33 (Note 2) = 4777 (I/S) * Percentage Percentage = 0.69%(b) Percentage deemed uncollectible = Allowance for bad debts / Gross acco
Berkeley - BUSINESS - 269
Bargaining, Third-Party Information and the Division of Prot in the Distribution ChannelGreg Shaer University of Rochester Florian Zettelmeyer University of California at BerkeleyAugust, 1999We are indebted to Meghan Busse for detailed comments
Berkeley - BUSINESS - 269
Agents to the Rescue?Patricia M. West, Dan Ariely, Steve Bellman, Eric Bradlow, Joel Huber, Eric Johnson, Barbara Kahn, John Little, and David SchkadeFebruary 1999This working paper is based on the Agents and Environments session of the 1998 HE
Berkeley - BUSINESS - 269
The Strategic Use of Consumer Search Cost*Florian ZettelmeyerHaas School of Business University of California at Berkeley Berkeley, CA 94720-1900 orian@haas.berkeley.edu (e-mail)(510) 643-1898 (Ofce) (510) 643-1420 (Fax)This version: October 1
Berkeley - BUSINESS - 269
The Internet as a Medium for Marketing Communications: Channel Conict over the Provision of InformationGreg Shaer University of Rochester Florian Zettelmeyer University of California at BerkeleyJune 1999We are indebted to Meghan Busse, Carl Sha
Berkeley - BUSINESS - 269
The Nature of Competition in Electronic Markets: An Empirical Investigation of Online Travel Agent OfferingsEric K. Clemons clemons@wharton.upenn.edu Il-Horn Hann hann36@wharton.upenn.edu Lorin M. Hitt lhitt@wharton.upenn.eduDepartment of Operati
Berkeley - BUSINESS - 269
Empirical Analysis of Predictive Algorithms for Collaborative FilteringJohn S. Breese David Heckerman Carl KadieMicrosoft Research Redmond, WA 98052-6399 fbreese,heckerma,carlkg@microsoft.comAbstractCollaborative ltering or recommender systems u
Berkeley - BUSINESS - 269
Economic Perspectives on Digital MarketingAnitesh Barua* Preyas S. Desai* Raj Srivastava* *The University of Texas at Austin * Duke University *Emory University January 1999, Revised November 1999Abstract The rapid proliferation of business-to-co
Berkeley - BUSINESS - 269
Controlling the Information Flow: Effects on Consumers Decision Making and PreferencesDan ArielyABSTRACTOne of the main objectives facing marketers is to present consumers with information on which to base their decisions. In doing so, marketers
Berkeley - BUSINESS - 269
Expanding to the Internet: Pricing and Communications Strategies When Firms Compete on Multiple Channels*Florian ZettelmeyerSeptember 1999Journal of Marketing Research, forthcomingKeywords: Internet Marketing, Competitive Strategy, Search Cos
Berkeley - FLINT - 2
A Reference Software Model for Intelligent Information SearchIvan L. M. Ricarte, Fernando Gomide School of Electrical and Computer Engineering (FEEC), State University of Campinas (Unicamp) Campinas, So Paulo, 13083-970, Brazil Abstract This chapte
Berkeley - FLINT - 3
A New Fuzzy Spectral Approach to Information Integration in a Search EngineGalina KorotkikhFaculty of Informatics and Communication Central Queensland University Mackay, Queensland, 4740 Australia email: g.korotkich@cqu.edu.auAbstract. The proble
Berkeley - FLINT - 3
Towards Irreducible Modeling of Structures and Functions of Protein SequencesVictor KorotkikhFaculty of Informatics and Communication Central Queensland University Mackay, Queensland, 4740 Australia email: v.korotkich@cqu.edu.au Abstract. A major a
Berkeley - FLINT - 2
Subjective Enhancement and Measurement of Web Search QualityM. M. Sufyan Beg and Nesar Ahmad Department of Electrical Engineering, Indian Institute of Technology, New Delhi, 110 016, India, {mmsbeg,nahmad}@ee.iitd.ac.inAbstractThe web search effo
Berkeley - FLINT - 2
Intelligent Web Searching Using Hierarchical Query DescriptionsRonald R. Yager Machine Intelligence Institute Iona College New Rochelle, NY 10801 E-Mail: yager@panix.comABSTRACT. We describe a document retrieval language which enables a user to bet
Berkeley - FLINT - 3
Fuzzy Thesauri for and from the WWWMartine De Cock1 , Sergio Guadarrama2 , and Masoud Nikravesh3123Fuzziness and Uncertainty Modelling Research Unit Dept. of Applied Mathematics and Computer Science Gent, Belgium email: martine.decock@ugent.b
Berkeley - FLINT - 3
Consumer Proling Using Fuzzy Query and Social Network TechniquesF. Olcay Cirit, Masoud Nikravesh, and Sema E. AlptekinBerkeley Initiative in Soft Computing (BISC), EECS Department University of California, Berkeley CA 94720, USA Abstract. Web commu
Berkeley - FLINT - 3
Evaluating Ontology Based Search StrategiesChris Loer1 , Sergio Guadarrama2 , and Masoud Nikravesh3123Berkeley Initiative in Soft Computing (BISC) Computer Science Division, Dept. of EECS University of California Berkeley CA 94704, USA email:
George Mason - ACAS - 00
EIGHT U.S. ARMY CONFERENCE ON APPLIED STATISTICS SHORT COURSE Statistical Data Mining Dr. Edward J. Wegman Dr. Jeffrey L. Solka George Mason University Naval Surface Warfare CenterAbstract: Used to extract knowledge hidden from large volumes of raw
George Mason - ACAS - 02
EIGHT U.S. ARMY CONFERENCE ON APPLIED STATISTICS SHORT COURSE Statistical Data Mining Dr. Edward J. Wegman Dr. Jeffrey L. Solka George Mason University Naval Surface Warfare CenterAbstract: Used to extract knowledge hidden from large volumes of raw
George Mason - ACAS - 00
LA-UR-00-218Approved for public release; distribution is unlimited.Title:Guidelines for Eliciting Expert Judgment as Probabilities or Fuzzy LogicAuthor(s):Mary A. Meyer Kenneth B. Butterfield William S. Murray Ronald E. Smith Jane M. Booker
George Mason - ACAS - 00
Monte Carlo Filters and Its Applications in Target Tracking and Wireless Communications 1Rong Chen Department of Information and Decision Science, University of Illinois at Chicago, Chicago, IL 60607. rongchen@uic.edu1IntroductionStochastic sy
George Mason - ACAS - 00
Abstracts 8th U.S. Army Conference on Applied Statistic Raleigh, North Carolina 30 October 01 November, 20021ContentsGeneral Session 1.3 Special Session 1.3 Special Session 2.5 Contributed Session 1 ..6 Contributed Session 2 .7 Contributed Ses
George Mason - ACAS - 02
Abstracts 8th U.S. Army Conference on Applied Statistic Raleigh, North Carolina 30 October 01 November, 20021ContentsGeneral Session 1.3 Special Session 1.3 Special Session 2.5 Contributed Session 1 ..6 Contributed Session 2 .7 Contributed Ses
George Mason - DPARKER - 3
Weekly short writing assignment instructions, Spatial ABM, Spring 2007, George Mason University Pick of the reading for the week that cover specific applications (ask me if you are not sure). Answer the following questions: 1. What is the research qu
George Mason - UNIT - 11
Anonymous Account of the Boston Massacre A Short Narrative of the Horrid Massacre in Boston. Printed by Order of the Town of Boston. Re-published with Notes and Illustrations by John Doggett, Jr., (New York, 1849), vp. 13-19; 21- 22; 28-30. THE HORRI
George Mason - UNIT - 3
Anonymous Account of the Boston Massacre A Short Narrative of the Horrid Massacre in Boston. Printed by Order of the Town of Boston. Re-published with Notes and Illustrations by John Doggett, Jr., (New York, 1849), vp. 13-19; 21- 22; 28-30. THE HORRI
George Mason - UNIT - 14
Culminating Assessment: Students will create an exhibit that shows the early years of the Jamestown colony, and the interactions between the colonists and the Powhatans that resulted in its survival. Students will create different types of displays,
George Mason - UNIT - 10
Excerpts from: Men of Color, To Arms! Frederick Douglass March 21, 1863 from http:/teachingamericanhistory.org When first the rebel cannon shattered the walls of Sumter and drove away its starving garrison, I predicted that the war then and there ina
George Mason - UNIT - 3
Excerpts from: Men of Color, To Arms! Frederick Douglass March 21, 1863 from http:/teachingamericanhistory.org When first the rebel cannon shattered the walls of Sumter and drove away its starving garrison, I predicted that the war then and there ina
Berkeley - CS - 294
CS294-40 Problem Set #11CS 294-40, Fall 2008 Problem Set #1: Value iteration, contractionsDue before 11am on Tuesday, November 18. NOTE: Please refer to the class webpage (http:/inst.eecs.berkeley.edu/cs294-40/fa08/) for the homework policy.1
Berkeley - CS - 3
CS294-40 Problem Set #11CS 294-40, Fall 2008 Problem Set #1: Value iteration, contractionsDue before 11am on Tuesday, November 18. NOTE: Please refer to the class webpage (http:/inst.eecs.berkeley.edu/cs294-40/fa08/) for the homework policy.1
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 14 - 10/14/2008Kalman Filtering, EKF, Unscented KF, Smoother, EMLecturer: Pieter Abbeel Scribe: Jared Wood1Kalman Filtering Recapxt+1 = Axt + But + wt yt = Cxt + vtRecall the linear system
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 7 - 9/18/2008Dierential Dynamic Programing (DDP)Lecturer: Pieter Abbeel Scribe: Brandon Basso1Lecture outline Setup DDP Trajectory following Runtime and oine solutions2Recap: Problem
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 3 - 9/4/2008Contractions, Asychronous Value IterationLecturer: Pieter Abbeel Scribe: Zhang Yan1Lecture outline Review. Contractions. Asynchronous value iteration.2ReviewWe assume nit
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 15 - 10/28/2008TD, Sarsa, Q-learning, TD-GammonLecturer: Pieter Abbeel Scribe: Anand Kulkarni1Lecture outline TD(), Q(), Sarsa() Function approximation. TD-gammon by Tesauro, one of the (e
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 19 - 30/10/2008Reward ShapingLecturer: Pieter Abbeel Scribe: P From al11.1Algorithm ReviewQ-learninginitialize forThe Q-learning algorithm can be summarized as s0 t = 1, 2, 3 . . . choos
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 16 - 10/20/2008Policy GradientLecturer: Pieter Abbeel Scribe: Jan Biermeyer1RecapHRecall: U () = E[R(st , at ); ] = E[R( ); ]t=0(1)Here is a sample path of states and actions, s0
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 17 - 10/23/2008TD, Q-learning and SarsaLecturer: Pieter Abbeel Scribe: Zhang YanLecture outlineNote: Ch 7 & 8 in Sutton & Barto book TD (Temporal dierence) learning Q-learning Sarsa (State
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 2 - 9/2/2008Value IterationLecturer: Pieter Abbeel Scribe: Anand Kulkarni1Lecture outline Problem set 1 out this week, due Sept. 23. Project reminder - set up appointment to discuss and get
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 15 - 10/16/2008Policy Gradient MethodsLecturer: Pieter Abbeel Scribe: Fernando Garcia Bermudez1Lecture outline Introduction Finite dierence methods Likelihood ratio methods2Introductio
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 22 - 11/18/2008Inverse Reinforcement LearningLecturer: Pieter Abbeel Scribe: Ankur Mehta1Inverse Reinforcement LearningGiven a policy E or state-action traces {st , at }, can we recover the
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 6 - 9/16/2008Linear Quadratic RegulatorsLecturer: Pieter Abbeel Scribe: Ankur Mehta1Lecture outline LQR LQR Extensions Coming up.2LQR (Finite Horizon Value Iteration Case Study)xt+1 =
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 11 - 10/02/2008BanditsLecturer: Pieter Abbeel Scribe: David NachumLecture outline1. Multi-armed bandits 2. Optimal stopping 3. Put it together (use 2 to solve 1)1Multi-armed bandits0, wit
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 9 - 9/25/2008Partially Observable SystemsLecturer: Pieter Abbeel Scribe: Martin M. Srensen1Lecture outline Partially observable systems Information states Separation principle and multi-ar
Berkeley - CS - 294
CS294-40 Learning for Robotics and ControlLecture 12 - 10/07/2008Separation Principle, Dynamics ModelingLecturer: Pieter Abbeel Scribe: P From al1Announcements Milestone report: due on Sunday; 1 2 pages with the results so far,1 2 1 pag