...com/reports/sea-change/2013/sep/11/alaska-crab-industry/ http://apps.seattletimes.com/reports/sea-change/2013/sep/11/oysters-hit-hard/ Write a summary of the key findings from each article. What struck you the most, do you feel that we can overcome this issue Week Two Unit 2 Problem Set 1 page 163 - 170 Lab manual Unit 2 Exercise 1 Environmental Health (Handout) Unit 2 Lab 1 page 19 - 22 Lab Manual Week Three Unit 3 Problem Set 1 Ecosystem Diagram (PPT) Unit 3 Problem Set 2 Biogeochemical Concept Map page 173 - 174 Lab Manual Unit 3 Lab 1 Experimental Design (Handout) Week Four Unit 4 Exercise 1 Population Growth: http://www.learner.org/courses/envsci/interactives/demographics/ Unit 4 Lab 1 Initiative 522 Week Five Unit 5 Exercise 1 Trees and Carbon Handout Unit 5 Problem Set 1 Page 175 - 180 Unit 5 Problems Set 1Lab Manual Global Warming CO2 and You Applied Problem Set Unit 5 Lab 1 page 89 - 94 Global Climate Change and Automobiles Week Six Unit 6 Project Part 1 Project Proposal Unit 6 Lab 1 Waterways Presentation Week Seven Unit 7 Exercise 1 Project Feedback Unit 7 Project Part 2 Project Sources Unit 7 Lab 1 Week Eight Unit 8 Problem Set 1 Breakfast Interview page 213-216 Lab Manual Unit 8 Lab 1 Life Cycle page 33-36 Lab Manual Week Nine Week Ten Create a free website Powered by Start your own free website A surprisingly easy drag & drop site creator. Learn...
Words: 276 - Pages: 2
...BUSINESS SCHOOL Unit of Study Outline Unit Code QBUS5001 Unit Title Quantitative Methods for Business Semester 2, 2013 Pre-requisite Units: None Co-requisite Units: None Prohibited Units: ECMT5001, QBUS5002 Assumed Knowledge and/or Skills: Basic calculus, basic concept of probability and statistics Unit Coordinator: Dr Boris Choy Address: Room 482, Merewether Building(H04), The University of Sydney NSW 2006 Email: boris.choy@sydney.edu.au Phone: 0293512787 Consultation Hours: Mondays 2pm-3pm at Room 482, H04 Class Day(s): Thursdays 6pm-9pm at Merewether Lecture Room 5, H04 Required Text / Resources: 1. Textbook: Selvanathan E.A., Selvanathan, S & Keller, G. (2011) Business Statistics, Australia & New Zealand 5th Edition. CENGAGE Learning. www.cengage.com.au/selvanathan5e 2. Online resources: Blackboard and Aplia 3. Software: MS Excel with Data Analysis Plus add-in This Guide to Unit Learning Content and Assessment MUST be read in conjunction with the Business School Student Administration Manual for information about all processes (sydney.edu.au/business/currentstudents/student_information/student_administration_manual) and the Business School unit of study common policy and implementation information that apply to every unit of study offered by the Business School (http://sydney.edu.au/business/currentstudents/policy). In determining applications and appeals relating to these matters it will be assumed that every student has taken the time to familiarise themselves...
Words: 3798 - Pages: 16
...rn i n g Co m p e te n c i e s ) MATHEMATICS MATHEMATICS DESCRIPTION Mathematics in Grades 1 and 2 includes the study of whole numbers, addition and subtraction, basic facts of multiplication and division, basics of geometry, fractions, metric and local measurements, the use of money and their application to practical problems based on real life activities. Grades 3 and 4 deals with the study of whole numbers, the four fundamental operations, fractions and decimals including money, angles, plane figures, measurement and graphs. In Grades 5 and 6 the child is expected to have mastered the four fundamental operations of whole numbers, performs skills in decimals and fractions, conceptualize the meaning of ratio and proportion, percent, integers, simple probability, polygons, spatial figures, measurement and graphs. Simple concepts in Algebra is also introduced to be articulated in the high school. Besides further development of the basic mathematical skills, the child is expected to solve problems related to business and industrial activities in the community. TIME ALLOTMENT Daily Weekly Grade 1 80 400 Grade 2 80 400 Grade 3 80 400 Grade 4 60 300 Grade 5 60 300 Grade 6 60 300 The 20-minute increase in the daily time allotment is given to ensure that all lessons are finished and there will be more activities that involve grouping practical investigations and problem solving. Pupils learn more if they have hands on or manipulative and interactive activities, learn on...
Words: 10903 - Pages: 44
...Exercises………………………………………………………… page 2 Labs…………………………………………………………………………………….page 16 Project…...............................................................................................................page 21 ------------------------------------------------- Graded Assignments Unit 1 Exercise 1: Statistics and Graphing Course Objectives and Learning Outcomes In this assignment, you will interpret and graph descriptive statistics. Assignment Requirements Work in small groups to complete Problems 1-4 given in the worksheet provided by your instructor (Problems Worksheets). This is also available at the link below. Fill out one activity sheet (found at the end of the document) for each of the 4 questions. Required Resources * Statistics and Graphing (SC2730.U1.HO1) Worksheets also available at: http://esa21.kennesaw.edu/activities/stats/stats.pdf * Problems Worksheets (SC2730.U1.HO2) also available at: http://esa21.kennesaw.edu/activities/stats/problems.pdf Submission Requirements 4 completed activity sheets (1 each for Problems 1-4) Unit 1 Problem Set 1: Scientific Method Applied Problem Sets Course Objectives and Learning Outcomes In this assignment, you will outline the steps of the scientific method. Assignment Requirements Refer to the Applied Problem Sets located on pp. 153-162 of the Wagner lab manual. Use the scientific method to complete the problem sets. Answer Questions 1-6 for Problem Set 1 and questions 1-8 for Problem Set 2. Submission...
Words: 5239 - Pages: 21
...processes and procedures involving the installation, configuration, maintanence, troublshooting and routine adminstrative tasks of popular desktop operating system(s) for standalone and network client computers, and related aspects of typical network server functions. Client-Server Networking I Syllabus Where Does This Course Belong? 1st QTR GS1140 NT1110 GS1145 Problem Solving Theory Computer Structure and Logic Strategies for the Technical Professional 2nd QTR NT1210 Introduction to Networking NT1230 Client-Server Networking I MA1210 College Mathematics I 3rd QTR NT1310 NT1330 MA1310 4th QTR PT1420 NT1430 EN1320 5th QTR PT2520 NT2580 EN1420 6th QTR NT2640 NT2670 CO2520 7th QTR NT2799 SP2750 Physical Networking Client-Server Networking II College Mathematics II Introduction to Programming Linux Networking Composition I Database Concepts Introduction to Information Security Composition II IP Networking Email and Web Services Communications Network Systems Administration Capstone Project Group Theory The follow diagram indicates how this course relates to other courses in the NSA program: 1 Date: 8/31/2012 Client-Server Networking I Syllabus NT2799 NSA Capstone Project NT2580 Introduction to Information Security NT2670 Email and Web Services NT2640 IP Networking PT2520 Database Concepts NT1330 Client-Server Networking II NT1230 Client-Server Networking I NT1430 Linux Networking PT1420...
Words: 1834 - Pages: 8
...0.1 0.1.1 Linear Programming Objectives By the end of this unit you will be able to: • formulate simple linear programming problems in terms of an objective function to be maximized or minimized subject to a set of constraints. • find feasible solutions for maximization and minimization linear programming problems using the graphical method of solution. • solve maximization linear programming problems using the simplex method. • construct the Dual of a linear programming problem. • solve minimization linear programming problems by maximizing their Dual. 0.1.2 Introduction One of the major applications of linear algebra involving systems of linear equations is in finding the maximum or minimum of some quantity, such as profit or cost. In mathematics the process of finding an extreme value (maximum or minimum) of a quantity (normally called a function) is known as optimization . Linear programming (LP) is a branch of Mathematics which deals with modeling a decision problem and subsequently solving it by mathematical techniques. The problem is presented in a form of a linear function which is to be optimized (i.e maximized or minimized) subject to a set of linear constraints. The function to be optimized is known as the objective function . Linear programming finds many uses in the business and industry, where a decision maker may want to utilize limited available resources in the best possible manner. The limited resources may include material, money, manpower, space...
Words: 10505 - Pages: 43
...Historical Cost Basis Assumed Data Beginning Inventory: TV Set 1 Cost . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Purchases: TV Set 2 Cost . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . TV Set 3 Cost . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cost of Goods Available for Sale . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sales: One TV set . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cost Flow Assumption FIFO Financial Statements Sales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cost of Goods Sold . . . . . . . . . . . . . . . . . . . . . . . . . Gross Margin on Sales . . . . . . . . . . . . . . . . . . . . . . . Ending Inventory . . . . . . . . . . . . . . . . . . . . . . . . . . aTV $250 290 300 $840 $550 Weighted Average (2) $550 280b $270 $560e LIFO (3) $550 300c $250 $540f (1) $550 250a $300 $590d set 1 costs $250. TV sets costs $280 ( cTV set 3 costs $300. bAverage dTV $840/3). sets 2 and 3 cost $290 $300 $590. average TV sets cost 2 $280 $560. fTV sets 1 and 2 cost $250 $290 $540. eTwo LAST-IN, FIRST-OUT The last-in, first out (LIFO) cost flow assumption assigns the costs of the latest units acquired to the withdrawals and assigns the costs of the oldest units to the ending inventory. Some theorists argue that LIFO...
Words: 3314 - Pages: 14
...SCHEME OF EXAMINATION FOR MASTER OF COMPUTER APPLICATIONS (MCA) (SIX-SEMESTER Programme) |Semester – I | |Paper |Title of the Paper |Duration |Maximum Marks |Total | |No. | |Of Exam | | | | | | |Theory |Sessional* | | |MCA-101 |Computer Fundamentals and Problem Solving Using C |3 Hours |80 |20 |100 | |MCA-102 |Computer Organisation |3 Hours |80 |20 |100 | |MCA-103 |Discrete Mathematical Structures |3 Hours |80 |20 |100 | |MCA-104 |Software Engineering |3 Hours |80 |20 |100 | |MCA-105 |Computer Oriented Numerical and Statistical Methods |3 Hours |80 |20 |100 | |MCA-106 |Software Laboratory - I |3 Hours | | |100 | | |C (Based on MCA-101) |...
Words: 13848 - Pages: 56
...monopoly is the situation where there is a single seller of a good. Because of this, it has the power to set both the price and quantity of the good that will be sold. We begin our study of monopoly by considering the price that the monopolist should charge.1 9.1 Simple Monopoly Pricing The object of the firm is to maximize profit. However, the price that the monopolist charges affects the quantity it sells. The relationship between the quantity sold and the price charged is governed by the (aggregate) demand curve q (p). Note, in order to focus on the relationship between q and p, we suppress the wealth arguments in the aggregate demand function. We can thus state the monopolist’s problem as follows: max pq (p) − c (q (p)) . p Note, however, that there is a one-to-one correspondence between the price charged and the quantity the monopolist sells. Thus we can rewrite the problem in terms of quantity sold instead of the price charged. Let p (q) be the inverse demand function. That is, p (q (p)) = p. The firm’s profit maximization problem can then be written as max p (q) q − c (q) . q It turns out that it is usually easier to look at the problem in terms of setting quantity and letting price be determined by the market. For this reason, we will use the quantity-setting approach. 1 References: Tirole, Chapter 1; MWG, Chapter 12; Bulow, “Durable-Goods Monopolists,” JPE 90(2) 314-332. 233 Nolan Miller Notes on Microeconomic Theory: Chapter 9 P ver: Aug. 2006 ...
Words: 10505 - Pages: 43
...deals with solving optimization problem, in which we want to maximize function (such as profit, expected return or efficiency) or minimize the function( such as cost. time or distance), Usually in a constrained environment. The recommended course of action is known as program : hence, the term MP is used to describe such problems. MP consist of 3 components (Elaborate 3 function) 1. Decision variable: - Which is controlled or determined by the decision maker 2. Objective Function:- Its to be maximize or minimize 3. Constraints:- Restrictive set of conditions that must be satisfied by any solution to the model. The most widely used mathematical model are LP models. LP models A LP model is model that seeks to maximize or minimize a linear objective functions subject to a set of linear constraints. Large company such as the San Miguel corporation, Texaco, American airlines and general motors have used linear models to affect efficiency and improve the bottom line . But LP can also be applied in smaller venues. In fact a wide variety of cases lend themselves to linear modeling , including problems from such diverse areas such as manufacturing, marketing, investing , advertising, trucking, shipping, agriculture, nutrition, E-commerce, restaurant and travel industry. Importance LP 1. Many problem naturally lend themselves to LP formulation, and many other problems can be closely approximated by models with this structure 2. Efficient solution techniques...
Words: 1315 - Pages: 6
...Lecture 1: Introduction 1 Optimization Problems We start with the utility maximization problem commonly seen in intermediate microeconomics. Example 1.1. Denote I a consumer’ monetary income, p1 and p2 the prices of two goods, s and x1 and x2 for their quantities. The budget set of the consumer is B = f(x1 ; x2 ) : p1 x1 + p2 x2 Ig: 1 where D X is the constraint set. The minimization problem can be de…ned similarly. f (x) have the same set of solutions, Theorem 1.1. The problems maxx2D f (x) and minx2D so do minx2D f (x) and maxx2D Proof. Note that f (x) f (x). f (y) for all y 2 D is equivalent to f (x) f (y) for all y 2 D. Given this result, we can focus on how to solve maximization problems. 2 More examples Economics studies how to make the best use of allocation of scarece resources, translated in mathematical terms, it studies various optimization problems under constraints. 2.1 Expenditure minimization This is the ‡ side of the utility maximization problem. It studies how to sustain a certain ip utility level with the lowest expense. With the usual notation, the problem can be written as min p x; s.t. u(x) u: 2.2 Pro…t maximization Let x be the inputs of a production function f (x); let the price of the inputs be w, and the price of good be p(f (x)); then the pro…t maximization problem can be formulated as max p(f (x))f (x) w x, s.t. x 2 Rn . 2 2.3 Cost minimization Similarly, the cost...
Words: 582 - Pages: 3
...DEA Tutorial Abstract Data envelopment analysis (DEA) is a linear programming based technique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparisons difficult. This tutorial paper introduces the technique and uses an example to show how relative efficiencies can be determined and targets for inefficient units set. The paper also considers a number of practical issues of concern in applying the technique. Introduction There is an increasing concern with measuring and comparing the efficiency of organisational units such as local authority departments, schools, hospitals, shops, bank branches and similar instances where there is a relatively homogeneous set of units. The usual measure of efficiency, i.e.: [pic] is often inadequate due to the existence of multiple inputs and outputs related to different resources, activities and environmental factors. This problem can be illustrated for depots of a large retailing organisation which distributes goods to supermarkets. In this case the inputs for an efficiency measure are taken to be the value of the stock and the recurrent costs mainly in the form of wages, as those are resources supporting the operation of the depots. Stock is reasonably an input to an efficiency measure as an efficient depot will attempt to give a good service at lower stock levels, saving on capital and space. The outputs correspond to activities of the depots and are measured by...
Words: 3801 - Pages: 16
...Transportation Model 1 Transportation Problems • Transportation Problem – A distribution-type problem in which supplies of goods that are held at various locations are to be distributed to other receiving locations. – The solution of a transportation problem will indicate to a manager the quantities and costs of various routes and the resulting minimum cost. – Used to compare location alternatives in deciding where to locate factories and warehouses to achieve the minimum cost distribution configuration. – Some of the examples are: Shipment from factories to warehouses, Shipment between departments within a company, Shipment from warehouses to retailers 2 Formulating the Model • A transportation problem – Typically involves a set of sending locations, which are referred to as origins, and a set of receiving locations, which are referred to as destinations. – To develop a model of a transportation problem, it is necessary to have the following information: 1. Supply quantity (capacity) of each origin. 2. Demand quantity of each destination. 3. Unit transportation cost for each origin-destination route. 3 Transportation Model Example Harley’s Sand and Gravel Ltd. (Top soil Shipment) Problem: How many tons of Top soil to transport from each location (Farms) to each Project sites on a monthly basis in order to minimize the total cost of transportation ? Top soil can be supplied from 3 different locations Location Monthly Supply (in Tons) Farm A 100 Form B 200 Form C...
Words: 1248 - Pages: 5
...Procedure of Creating Dimensionless Groups 1. List all Variables that are included in the problem 2. Express each variable in terms of basic dimension 3. Determine the required number of pi terms 4. Select a number of repeating variables 5. Form a pi term by multiplying one of the non repeating variable by the product of repeating variables each raised to an exponent that will make the combination dimensionless 6. Repeat step 5 7. Check all the resulting pi terms 8. Express the final form as a relationship among the pi terms and think about what it means Recapitulation 1. A base quantity is a property that is defined in physical terms by two operations: a comparison operation, and an addition operation. The comparison operation is a physical procedure for establishing whether two samples of the quantity are equal or unequal; the addition operation defines what is meant by the sum of two samples of that property. 2. Base quantities are properties for which the following concepts are defined in terms of physical operations: equality, addition, subtraction, multiplication by a pure number, and division by a pure number. Not defined in terms of physical operations are: product, ratio, power, and logarithmic, exponential, trigonometric and other special functions of physical quantities. 3. A base quantity can be measured in terms of an arbitrarily chosen unit of its own kind and a numerical value. 4. A derived quantity of the first...
Words: 1642 - Pages: 7
...| | Assignment 1 (Due January 14) | | | | | | | | | | | | | | | | | Solve the following problems. | | | | | | | | (Numbered problems are from the textbook.) | | | | | | | | | | | | | | | 1 | | Explain how the differences between goods and services influence the implementation | | | | | | | of the ten operations management strategy decisions. | | | | | | | | | | | | | | | | | O/M decisions | Goods | Services | | | | | | 1) | Goods and Service design | - Usually tangible | - Not tangible | | | | | | | | - The company has The controllability | - Customer can participate in the | | | | | | | | on the design and production. | design process | | | | | | 2) | Quality | - Many objective quality standards | - Many subjective quality standards | | | | | | 3) | Process and Capacity design | - Customer is not involved in most of | - Customer may be directly involved in | | | | | | | | the process | most of the process | | | | | | 4) | Location strategy | - May need to be near raw materials | - May need to be near customer | | | | | | | | or labor force | | | | | | | | | - Selling is different from production | | | | | | | | | and product is transportable, thus site | | | | | | | | of facility is important for cost | | | | | | | 5) | Layout design | - Layout can enhance production...
Words: 1387 - Pages: 6
