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Global Marketing Services Henning Schoenenberger 09.2011 Code
Code Description English A Science A11007 Science, general A12000 History of Science B Biomedicine B0000X Biomedicine general B11001 Cancer Research B12008 Human Genetics B12010 Gene Expression B12020 Gene Therapy B12030 Gene Function B12040 Cytogenetics B12050 Microarrays B13004 Human Physiology B14000 Immunology B14010 Antibodies B15007 Laboratory Medicine B16003 Medical Microbiology B16010 Vaccine B16020 Drug Resistance B1700X Molecular Medicine B18006 Neurosciences B18010 Neurochemistry B19002 Parasitology B21007 Pharmacology/Toxicology B21010 Pharmaceutical Sciences/Technology B22003 Virology B23000 Forensic Science C Chemistry C00004 Chemistry/Food Science, general C11006 Analytical Chemistry C11010 Mass Spectrometry C11020 Spectroscopy/Spectrometry C11030 Chromatography C12002 Biotechnology C12010 Applied Microbiology C12029 Biochemical Engineering C12037 Genetic Engineering C12040 Microengineering C12050 Electroporation C13009 Computer Applications in Chemistry C14005 Documentation and Information in Chemistry C15001 Food Science C16008 Inorganic Chemistry C17004 Math. Applications in Chemistry C18000 Nutrition C19007 Organic Chemistry C19010 Bioorganic Chemistry C19020 Organometallic Chemistry C19030 Carbohydrate Chemistry C21001 Physical Chemistry C21010 Electrochemistry C22008 Polymer Sciences C23004 Safety in Chemistry, Dangerous Goods C24000 Textile Engineering C25007 Theoretical and Computational Chemistry C26003 Gmelin C27000 Industrial Chemistry/Chemical Engineering C28000 Medicinal Chemistry C29000 Catalysis C31000 Nuclear -
Principles of MICROECONOMICS an Open Text by Douglas Curtis and Ian Irvine
with Open Texts Principles of MICROECONOMICS an Open Text by Douglas Curtis and Ian Irvine VERSION 2017 – REVISION B ADAPTABLE | ACCESSIBLE | AFFORDABLE Creative Commons License (CC BY-NC-SA) advancing learning Champions of Access to Knowledge OPEN TEXT ONLINE ASSESSMENT All digital forms of access to our high- We have been developing superior on- quality open texts are entirely FREE! All line formative assessment for more than content is reviewed for excellence and is 15 years. Our questions are continuously wholly adaptable; custom editions are pro- adapted with the content and reviewed for duced by Lyryx for those adopting Lyryx as- quality and sound pedagogy. To enhance sessment. Access to the original source files learning, students receive immediate per- is also open to anyone! sonalized feedback. Student grade reports and performance statistics are also provided. SUPPORT INSTRUCTOR SUPPLEMENTS Access to our in-house support team is avail- Additional instructor resources are also able 7 days/week to provide prompt resolu- freely accessible. Product dependent, these tion to both student and instructor inquiries. supplements include: full sets of adaptable In addition, we work one-on-one with in- slides and lecture notes, solutions manuals, structors to provide a comprehensive sys- and multiple choice question banks with an tem, customized for their course. This can exam building tool. include adapting the text, managing multi- ple sections, and more! Contact Lyryx Today! [email protected] advancing learning Principles of Microeconomics an Open Text by Douglas Curtis and Ian Irvine Version 2017 — Revision B BE A CHAMPION OF OER! Contribute suggestions for improvements, new content, or errata: A new topic A new example An interesting new question Any other suggestions to improve the material Contact Lyryx at [email protected] with your ideas. -
Advances in Energy Forecasting Models Based on Engineering
20 Sep 2004 14:55 AR AR227-EG29-10.tex AR227-EG29-10.SGM LaTeX2e(2002/01/18) P1: GCE 10.1146/annurev.energy.29.062403.102042 Annu. Rev. Environ. Resour. 2004. 29:345–81 doi: 10.1146/annurev.energy.29.062403.102042 First published online as a Review in Advance on July 30, 2004 ADVANCES IN ENERGY FORECASTING MODELS ∗ BASED ON ENGINEERING ECONOMICS Ernst Worrell,1 Stephan Ramesohl,2 and Gale Boyd3 1Energy Analysis Department, Lawrence Berkeley National Laboratory, Berkeley, California 94720; email: [email protected] 2Energy Division, Wuppertal Institute for Climate, Environment, Energy, 42103 Wuppertal, Germany; email: [email protected] 3Decision and Information Sciences Division, Argonne National Laboratory, Argonne, Illinois 60439; email: [email protected] KeyWords energy modeling, industry, policy, technology ■ Abstract New energy efficiency policies have been introduced around the world. Historically, most energy models were reasonably equipped to assess the impact of classical policies, such as a subsidy or change in taxation. However, these tools are often insufficient to assess the impact of alternative policy instruments. We evalu- ate the so-called engineering economic models used to assess future industrial en- ergy use. Engineering economic models include the level of detail commonly needed to model the new types of policies considered. We explore approaches to improve the realism and policy relevance of engineering economic modeling frameworks. We also explore solutions to strengthen the policy usefulness of engineering eco- nomic analysis that can be built from a framework of multidisciplinary coopera- tion. The review discusses the main modeling approaches currently used and eval- uates the weaknesses in current models. -
Lecture Notes1 Mathematical Ecnomics
Lecture Notes1 Mathematical Ecnomics Guoqiang TIAN Department of Economics Texas A&M University College Station, Texas 77843 ([email protected]) This version: August, 2020 1The most materials of this lecture notes are drawn from Chiang’s classic textbook Fundamental Methods of Mathematical Economics, which are used for my teaching and con- venience of my students in class. Please not distribute it to any others. Contents 1 The Nature of Mathematical Economics 1 1.1 Economics and Mathematical Economics . 1 1.2 Advantages of Mathematical Approach . 3 2 Economic Models 5 2.1 Ingredients of a Mathematical Model . 5 2.2 The Real-Number System . 5 2.3 The Concept of Sets . 6 2.4 Relations and Functions . 9 2.5 Types of Function . 11 2.6 Functions of Two or More Independent Variables . 12 2.7 Levels of Generality . 13 3 Equilibrium Analysis in Economics 15 3.1 The Meaning of Equilibrium . 15 3.2 Partial Market Equilibrium - A Linear Model . 16 3.3 Partial Market Equilibrium - A Nonlinear Model . 18 3.4 General Market Equilibrium . 19 3.5 Equilibrium in National-Income Analysis . 23 4 Linear Models and Matrix Algebra 25 4.1 Matrix and Vectors . 26 i ii CONTENTS 4.2 Matrix Operations . 29 4.3 Linear Dependance of Vectors . 32 4.4 Commutative, Associative, and Distributive Laws . 33 4.5 Identity Matrices and Null Matrices . 34 4.6 Transposes and Inverses . 36 5 Linear Models and Matrix Algebra (Continued) 41 5.1 Conditions for Nonsingularity of a Matrix . 41 5.2 Test of Nonsingularity by Use of Determinant . -
Microeconomics III Oligopoly — Preface to Game Theory
Microeconomics III Oligopoly — prefacetogametheory (Mar 11, 2012) School of Economics The Interdisciplinary Center (IDC), Herzliya Oligopoly is a market in which only a few firms compete with one another, • and entry of new firmsisimpeded. The situation is known as the Cournot model after Antoine Augustin • Cournot, a French economist, philosopher and mathematician (1801-1877). In the basic example, a single good is produced by two firms (the industry • is a “duopoly”). Cournot’s oligopoly model (1838) — A single good is produced by two firms (the industry is a “duopoly”). — The cost for firm =1 2 for producing units of the good is given by (“unit cost” is constant equal to 0). — If the firms’ total output is = 1 + 2 then the market price is = − if and zero otherwise (linear inverse demand function). We ≥ also assume that . The inverse demand function P A P=A-Q A Q To find the Nash equilibria of the Cournot’s game, we can use the proce- dures based on the firms’ best response functions. But first we need the firms payoffs(profits): 1 = 1 11 − =( )1 11 − − =( 1 2)1 11 − − − =( 1 2 1)1 − − − and similarly, 2 =( 1 2 2)2 − − − Firm 1’s profit as a function of its output (given firm 2’s output) Profit 1 q'2 q2 q2 A c q A c q' Output 1 1 2 1 2 2 2 To find firm 1’s best response to any given output 2 of firm 2, we need to study firm 1’s profit as a function of its output 1 for given values of 2. -
ECON - Economics ECON - Economics
ECON - Economics ECON - Economics Global Citizenship Program ECON 3020 Intermediate Microeconomics (3) Knowledge Areas (....) This course covers advanced theory and applications in microeconomics. Topics include utility theory, consumer and ARTS Arts Appreciation firm choice, optimization, goods and services markets, resource GLBL Global Understanding markets, strategic behavior, and market equilibrium. Prerequisite: ECON 2000 and ECON 3000. PNW Physical & Natural World ECON 3030 Intermediate Macroeconomics (3) QL Quantitative Literacy This course covers advanced theory and applications in ROC Roots of Cultures macroeconomics. Topics include growth, determination of income, employment and output, aggregate demand and supply, the SSHB Social Systems & Human business cycle, monetary and fiscal policies, and international Behavior macroeconomic modeling. Prerequisite: ECON 2000 and ECON 3000. Global Citizenship Program ECON 3100 Issues in Economics (3) Skill Areas (....) Analyzes current economic issues in terms of historical CRI Critical Thinking background, present status, and possible solutions. May be repeated for credit if content differs. Prerequisite: ECON 2000. ETH Ethical Reasoning INTC Intercultural Competence ECON 3150 Digital Economy (3) Course Descriptions The digital economy has generated the creation of a large range OCOM Oral Communication of significant dedicated businesses. But, it has also forced WCOM Written Communication traditional businesses to revise their own approach and their own value chains. The pervasiveness can be observable in ** Course fulfills two skill areas commerce, marketing, distribution and sales, but also in supply logistics, energy management, finance and human resources. This class introduces the main actors, the ecosystem in which they operate, the new rules of this game, the impacts on existing ECON 2000 Survey of Economics (3) structures and the required expertise in those areas. -
Engineering Economy for Economists
AC 2008-2866: ENGINEERING ECONOMY FOR ECONOMISTS Peter Boerger, Engineering Economic Associates, LLC Peter Boerger is an independent consultant specializing in solving problems that incorporate both technological and economic aspects. He has worked and published for over 20 years on the interface between engineering, economics and public policy. His education began with an undergraduate degree in Mechanical Engineering from the University of Wisconsin-Madison, adding a Master of Science degree in a program of Technology and Public Policy from Purdue University and a Ph.D. in Engineering Economics from the School of Industrial Engineering at Purdue University. His firm, Engineering Economic Associates, is located in Indianapolis, IN. Page 13.503.1 Page © American Society for Engineering Education, 2008 Engineering Economy for Economists 1. Abstract The purpose of engineering economics is generally accepted to be helping engineers (and others) to make decisions regarding capital investment decisions. A less recognized but potentially fruitful purpose is to help economists better understand the workings of the economy by providing an engineering (as opposed to econometric) view of the underlying workings of the economy. This paper provides a review of some literature related to this topic and some thoughts on moving forward in this area. 2. Introduction Engineering economy is inherently an interdisciplinary field, sitting, as the name implies, between engineering and some aspect of economics. One has only to look at the range of academic departments represented by contributors to The Engineering Economist to see the many fields with which engineering economy already relates. As with other interdisciplinary fields, engineering economy has the promise of huge advancements and the risk of not having a well-defined “home base”—the risk of losing resources during hard times in competition with other academic departments/specialties within the same department. -
Cryptocurrency: the Economics of Money and Selected Policy Issues
Cryptocurrency: The Economics of Money and Selected Policy Issues Updated April 9, 2020 Congressional Research Service https://crsreports.congress.gov R45427 SUMMARY R45427 Cryptocurrency: The Economics of Money and April 9, 2020 Selected Policy Issues David W. Perkins Cryptocurrencies are digital money in electronic payment systems that generally do not require Specialist in government backing or the involvement of an intermediary, such as a bank. Instead, users of the Macroeconomic Policy system validate payments using certain protocols. Since the 2008 invention of the first cryptocurrency, Bitcoin, cryptocurrencies have proliferated. In recent years, they experienced a rapid increase and subsequent decrease in value. One estimate found that, as of March 2020, there were more than 5,100 different cryptocurrencies worth about $231 billion. Given this rapid growth and volatility, cryptocurrencies have drawn the attention of the public and policymakers. A particularly notable feature of cryptocurrencies is their potential to act as an alternative form of money. Historically, money has either had intrinsic value or derived value from government decree. Using money electronically generally has involved using the private ledgers and systems of at least one trusted intermediary. Cryptocurrencies, by contrast, generally employ user agreement, a network of users, and cryptographic protocols to achieve valid transfers of value. Cryptocurrency users typically use a pseudonymous address to identify each other and a passcode or private key to make changes to a public ledger in order to transfer value between accounts. Other computers in the network validate these transfers. Through this use of blockchain technology, cryptocurrency systems protect their public ledgers of accounts against manipulation, so that users can only send cryptocurrency to which they have access, thus allowing users to make valid transfers without a centralized, trusted intermediary. -
FALL 2021 COURSE SCHEDULE August 23 –– December 9, 2021
9/15/21 DEPARTMENT OF ECONOMICS FALL 2021 COURSE SCHEDULE August 23 –– December 9, 2021 Course # Class # Units Course Title Day Time Location Instruction Mode Instructor Limit 1078-001 20457 3 Mathematical Tools for Economists 1 MWF 8:00-8:50 ECON 117 IN PERSON Bentz 47 1078-002 20200 3 Mathematical Tools for Economists 1 MWF 6:30-7:20 ECON 119 IN PERSON Hurt 47 1078-004 13409 3 Mathematical Tools for Economists 1 0 ONLINE ONLINE ONLINE Marein 71 1088-001 18745 3 Mathematical Tools for Economists 2 MWF 6:30-7:20 HLMS 141 IN PERSON Zhou, S 47 1088-002 20748 3 Mathematical Tools for Economists 2 MWF 8:00-8:50 HLMS 211 IN PERSON Flynn 47 2010-100 19679 4 Principles of Microeconomics 0 ONLINE ONLINE ONLINE Keller 500 2010-200 14353 4 Principles of Microeconomics 0 ONLINE ONLINE ONLINE Carballo 500 2010-300 14354 4 Principles of Microeconomics 0 ONLINE ONLINE ONLINE Bottan 500 2010-600 14355 4 Principles of Microeconomics 0 ONLINE ONLINE ONLINE Klein 200 2010-700 19138 4 Principles of Microeconomics 0 ONLINE ONLINE ONLINE Gruber 200 2020-100 14356 4 Principles of Macroeconomics 0 ONLINE ONLINE ONLINE Valkovci 400 3070-010 13420 4 Intermediate Microeconomic Theory MWF 9:10-10:00 ECON 119 IN PERSON Barham 47 3070-020 21070 4 Intermediate Microeconomic Theory TTH 2:20-3:35 ECON 117 IN PERSON Chen 47 3070-030 20758 4 Intermediate Microeconomic Theory TTH 11:10-12:25 ECON 119 IN PERSON Choi 47 3070-040 21443 4 Intermediate Microeconomic Theory MWF 1:50-2:40 ECON 119 IN PERSON Bottan 47 3080-001 22180 3 Intermediate Macroeconomic Theory MWF 11:30-12:20 -
Mathematical Economics - B.S
College of Mathematical Economics - B.S. Arts and Sciences The mathematical economics major offers students a degree program that combines College Requirements mathematics, statistics, and economics. In today’s increasingly complicated international I. Foreign Language (placement exam recommended) ........................................... 0-14 business world, a strong preparation in the fundamentals of both economics and II. Disciplinary Requirements mathematics is crucial to success. This degree program is designed to prepare a student a. Natural Science .............................................................................................3 to go directly into the business world with skills that are in high demand, or to go on b. Social Science (completed by Major Requirements) to graduate study in economics or finance. A degree in mathematical economics would, c. Humanities ....................................................................................................3 for example, prepare a student for the beginning of a career in operations research or III. Laboratory or Field Work........................................................................................1 actuarial science. IV. Electives ..................................................................................................................6 120 hours (minimum) College Requirement hours: ..........................................................13-27 Any student earning a Bachelor of Science (BS) degree must complete a minimum of 60 hours in natural, -
Course Syllabus ECN101G
Course Syllabus ECN101G - Introduction to Economics Number of ECTS credits: 6 Time and Place: Tuesday, 10:00-11:30 at VeCo 3 Thursday, 10:00-11:30 at VeCo 3 Contact Details for Professor Name of Professor: Abdel. Bitat, Assistant Professor E-mail: [email protected] Office hours: Monday, 15:00-16:00 and Friday, 15:00-16:00 (Students who are unable to come during these hours are encouraged to make an appointment.) Office Location: -1.63C CONTENT OVERVIEW Syllabus Section Page Course Prerequisites and Course Description 2 Course Learning Objectives 2 Overview Table: Link between MLO, CLO, Teaching Methods, 3-4 Assignments and Feedback Main Course Material 5 Workload Calculation for this Course 6 Course Assessment: Assignments Overview and Grading Scale 7 Description of Assignments, Activities and Deadlines 8 Rubrics: Transparent Criteria for Assessment 11 Policies for Attendance, Later Work, Academic Honesty, Turnitin 12 Course Schedule – Overview Table 13 Detailed Session-by-Session Description of Course 14 Course Prerequisites (if any) There are no pre-requisites for the course. However, since economics is mathematically intensive, it is worth reviewing secondary school mathematics for a good mastering of the course. A great source which starts with the basics and is available at the VUB library is Simon, C., & Blume, L. (1994). Mathematics for economists. New York: Norton. Course Description The course illustrates the way in which economists view the world. You will learn about basic tools of micro- and macroeconomic analysis and, by applying them, you will understand the behavior of households, firms and government. Problems include: trade and specialization; the operation of markets; industrial structure and economic welfare; the determination of aggregate output and price level; fiscal and monetary policy and foreign exchange rates. -
2020-2021 Bachelor of Arts in Economics Option in Mathematical
CSULB College of Liberal Arts Advising Center 2020 - 2021 Bachelor of Arts in Economics Option in Mathematical Economics and Economic Theory 48 Units Use this checklist in combination with your official Academic Requirements Report (ARR). This checklist is not intended to replace advising. Consult the advisor for appropriate course sequencing. Curriculum changes in progress. Requirements subject to change. To be considered for admission to the major, complete the following Major Specific Requirements (MSR) by 60 units: • ECON 100, ECON 101, MATH 122, MATH 123 with a minimum 2.3 suite GPA and an overall GPA of 2.25 or higher • Grades of “C” or better in GE Foundations Courses Prerequisites Complete ALL of the following courses with grades of “C” or better (18 units total): ECON 100: Principles of Macroeconomics (3) MATH 103 or Higher ECON 101: Principles of Microeconomics (3) MATH 103 or Higher MATH 111; MATH 112B or 113; All with Grades of “C” MATH 122: Calculus I (4) or Better; or Appropriate CSULB Algebra and Calculus Placement MATH 123: Calculus II (4) MATH 122 with a Grade of “C” or Better MATH 224: Calculus III (4) MATH 123 with a Grade of “C” or Better Complete the following course (3 units total): MATH 247: Introduction to Linear Algebra (3) MATH 123 Complete ALL of the following courses with grades of “C” or better (6 units total): ECON 100 and 101; MATH 115 or 119A or 122; ECON 310: Microeconomic Theory (3) All with Grades of “C” or Better ECON 100 and 101; MATH 115 or 119A or 122; ECON 311: Macroeconomic Theory (3) All with