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Lessons from Burkina Faso's Thomas Sankara By
Pan-Africanism and African Renaissance in Contemporary Africa: Lessons from Burkina Faso’s Thomas Sankara By: Moorosi Leshoele (45775389) Submitted in accordance with the requirements for the degree of Doctor of Philosophy At the UNIVERSITY OF SOUTH AFRICA SUPERVISOR: Prof Vusi Gumede (September 2019) DECLARATION (Signed) i | P a g e DEDICATION I dedicate this thesis to Thomas Noel Isadore Sankara himself, one of the most underrated leaders in Africa and the world at large, who undoubtedly stands shoulder to shoulder with ANY leader in the world, and tall amongst all of the highly revered and celebrated revolutionaries in modern history. I also dedicate this to Mariam Sankara, Thomas Sankara’s wife, for not giving up on the long and hard fight of ensuring that justice is served for Sankara’s death, and that those who were responsible, directly or indirectly, are brought to book. I also would like to tremendously thank and dedicate this thesis to Blandine Sankara and Valintin Sankara for affording me the time to talk to them at Sankara’s modest house in Ouagadougou, and for sharing those heart-warming and painful memories of Sankara with me. For that, I say, Merci boucop. Lastly, I dedicate this to my late father, ntate Pule Leshoele and my mother, Mme Malimpho Leshoele, for their enduring sacrifices for us, their children. ii | P a g e AKNOWLEDGEMENTS To begin with, my sincere gratitude goes to my Supervisor, Professor Vusi Gumede, for cunningly nudging me to enrol for doctoral studies at the time when the thought was not even in my radar. -
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 -
Energy Efficiency Guidelines for Office Buildings in Tropical Climate Design Tools for a Low Energy Demand: Cost Aspects 2 Outline
Energy Efficiency Guidelines for Office Buildings in Tropical Climate Design Tools for a Low Energy Demand: Cost aspects 2 Outline A. Life Cycle Cost analysis – What is LCC? – Comparison of LCC and other methods – Limitations of LCC B. Excel based tool for LCC analysis • Energy Payback Period (EPP). For example, a measure with an ini>al investment of $4,000 and an expected annual savings of $1,000 has an EPP of 4 years. • It does not account for the time value of money: the fact that the value of money does not remain constant all the time (i.e. $1,000 in the present are worth more than the same amount in the future); • It is not a measure of long-term economic performance because it only focuses on how quickly the initial investment can be recovered, ignoring all the costs and savings incurred after the point in time in which payback is reached; • It does not account for the opportunity cost; this is, that this money could had been invested in something else in exchange of a potentially higher return; • Life Cycle Cost – 3 indicators of economic performance: • Net Present Value (NPV) • Intenral Return Rate (IRR) • Savings to Investement ratio (SIR) • Net Present Value (NPV) For example, imagine that the country is experiencing an annual increase in its level of prices of 3%. This rate of inflaon is diminishing the future value of money as compared to their present value. At this 3% rate the present value (discounted value) of these $1,000 a year for the next four years is: $1,000/(1 + 3%) +$1,000/(1+3%)2 + $1,000/(1+3%)3 +$1,000/(1+3%)4 This is: $971 + $943 + $915 + $888 = $3,717 As it can be observed, the more far away in the future, the lower the present value of those $1,000. -
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 . -
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. -
The Only Spending Rule Article You Will Ever Need M
Financial Analysts Journal Volume 71 · Number 1 ©2015 CFA Institute The Only Spending Rule Article You Will Ever Need M. Barton Waring and Laurence B. Siegel After examining an array of approaches to determining a spending rule for retirees, the authors propose the annually recalculated virtual annuity. Each year, one should spend (at most) the amount that a freshly pur- chased annuity—with a purchase price equal to the then-current portfolio value and priced at current interest rates and number of years of required cash flows remaining—would pay out in that year. Investors who behave in this way will experience consumption that fluctuates with asset values, but they can never run out of money. ow much of your capital Calculating a Spending can you afford to spend Rate: An Annuitization Heach year? A great deal of effort has been expended on Problem CFA INSTITUTE determining how to construct FINANCIAL ANALYSTS JOURNAL In this article, we tie back to long- an efficient investment portfolio, standing and widely accepted how much risk to take, and how GRAHAM research asserting that the pur- to accomplish many other valu- and pose of investment policy for the able tasks on the accumulation individual is to support consump- side of the investment equation. DODD tion by providing an annuity of AWARDS OF EXCELLENCE But a body of useful thinking on payments in some form for one’s the decumulation or spending remaining life. Our insight is that side, in language accessible to constructing a spending rule is the investor, is just beginning to Top Award itself an annuitization problem at emerge. -
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, -
The Time Value of Money
THE TIME VALUE OF MONEY Aswath Damodaran Intui<on Behind Present Value ¨ There are three reasons why a dollar tomorrow is worth less than a dollar today ¤ Individuals prefer present consump<on to future consump<on. To induce people to Give up present consump<on you have to offer them more in the future. ¤ When there is monetary inflaon, the value of currency decreases over <me. The Greater the inflaon, the Greater the difference in value between a dollar today and a dollar tomorrow. ¤ If there is any uncertainty (risk) associated with the cash flow in the future, the less that cash flow will be valued. ¨ Other thinGs remaininG equal, the value of cash flows in future <me periods will decrease as ¤ the preference for current consump<on increases. ¤ expected inflaon increases. ¤ the uncertainty in the cash flow increases. 2 Discoun<nG and CompoundinG ¨ The mechanism for factorinG in these elements is the discount rate. The discount rate is a rate at which present and future cash flows are traded off. It incorporates (1) Preference for current consump<on (Greater ....HiGher Discount Rate) (2) Expected inflaon(HiGher inflaon .... HiGher Discount Rate) (3) Uncertainty in the future cash flows (HiGher Risk....HiGher Discount Rate) ¨ A hiGher discount rate will lead to a lower value for cash flows in the future. ¨ The discount rate is also an opportunity cost, since it captures the returns that an individual would have made on the next best opportunity. • Discoun<nG future cash flows converts them into cash flows in present value dollars. Just a discoun<nG converts future cash flows into present cash flows, • CompoundinG converts present cash flows into future cash flows. -
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