These courses advertise themselves as being a hour course simply because this is what customers and employers are searching for.
The key to successful study is working out what works best for you. Setting aside time to work through the course is important, whether this involves allocating a specific time daily or weekly. You could also set yourself a goal of completing a certain amount of the course each week to keep yourself on track. We have some useful study tips you can check out in a previous blog post. Many employers will be happy to consider applicants currently working towards their qualification. Would your program help me to teach English abroad?
Yes, our courses are internationally recognised. Some of our course graduates have shared their TEFL experiences over on our blog. Is there an order in what I complete first? Would it be possible to complete the in class teaching section first and then go to learning online or is this course strict on the order you complete it in? Great question Scott! The remaining balance is due two weeks prior to your selected classroom course date.
Access to your online studies will be granted once full payment has been received. What is the class schedule like? Is there a window I can take my courses at in the evenings or are they recorded and I can work on it whenever?
Our entirely online-based TEFL courses are available round the clock — you can log in and study on days and at times that suit you best. Under supervision of a faculty member approved by Graduate Registration Officer, student writes a substantial, probably publishable research paper.
Must be completed by the end of a student's second year to satisfy the departmental minor requirement. Guides second-year Economics PhD students through the process of conducting and communicating economic research.
Students choose topics for research projects, develop research strategies, carry out analyses, and write and present research papers. Limited to second year Economics PhD students. Reading and discussion of current topics in economics.
Open to advanced graduate students by arrangement with individual members of the staff. Under supervision of a faculty member approved by Graduate Registration Officer, student conducts independent research. Required of teaching assistants in introductory economics Gruber, S.
Beraja, R. Covers theoretical research on contracts in static as well as dynamic settings. Emphasis is on canonical models in contracting agency theory, mechanism design, incomplete contracting illustrated by major areas of application e. Analyzes the current debate over the rise of monopolies, the strategic behavior and performance of firms in imperfectly competitive markets, and the role of competition policy. Topics include monopoly power; pricing, product choice, and innovation decisions by firms in oligopoly markets; static and dynamic measurement of market performance; and incentives in organizations.
Requires regular participation in class discussion and teamwork in a competitive strategy game. Uses theoretical economic models and empirical evidence to help understand the growth and future of e-commerce. Economic models help frame class discussions of, among other topics, content provision, privacy, piracy, sales taxation, group purchasing, price search, and advertising on the internet.
Empirical project and paper required. Prereq: None. Coreq: Covers theoretical and empirical work dealing with the structure, behavior, and performance of firms and markets and core issues in antitrust. Topics include: the organization of the firm, monopoly, price discrimination, oligopoly, and auctions. Theoretical and empirical work are integrated in each area.
Continuation of Topics include horizontal merger policy and demand estimation, vertical integration and vertical restraints, and the theory and practice of economic regulation. Applications include the political economy of regulation; the performance of economic regulation; deregulation in sectors, including electric power, transportation, and financial services; and pharmaceutical and environmental regulation in imperfectly competitive product markets. Empirical analysis of theoretically derived models of market behavior.
Varied topics include demand estimation, differentiated products, production functions, analysis of market power, entry and exit, vertical relationships, auctions, matching markets, network externalities, dynamic oligopoly, moral hazard and adverse selection. Discussion will focus on methodological issues, including identification, estimation, counter-factual analysis and simulation techniques.
Same subject as Provides a rigorous, but not overly technical introduction to the economic theory of organization together with a varying set of applications. Addresses incentives, control, relationships, decision processes, and organizational culture and performance.
Introduces selected fundamentals of game theory. Limited to Begins with survey of contract theory for organizational economists, then introduces the main areas of the field, including the boundary of the firm; decision-making, employment, structures and processes in organizations; and organizations other than firms.
Builds on the work done in Self-contained introduction to probability and statistics with applications in economics and the social sciences.
Covers elements of probability theory, statistical estimation and inference, regression analysis, causal inference, and program evaluation. Couples methods with applications and with assignments involving data analysis.
Uses basic calculus and matrix algebra. May not count toward HASS requirement. Prereq: None G Spring Not offered regularly; consult department units. Introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. Presents essential notions of probability and statistics. Projects include analysis of data with a written description and interpretation of results; may involve gathering of original data or use of existing data sets.
Applications drawn from real world examples and frontier research. Instruction in use of the statistical package R. Institute LAB. Introduces multiple regression methods for causal inference and descriptive analysis in economics and related disciplines. Extensions include instrumental variables methods, analysis of randomized experiments and quasi-experimental research designs, and regression with time series data.
Develops the skills needed to conduct - and critique - empirical studies in economics and related fields. Students complete an empirical project with a written description and interpretation of results; this may involve original data collection or use of existing data sets. Applications drawn from real-world examples and frontier research.
Familiarity with statistical programming languages is helpful. Exposes students to the process of conducting independent research in empirical economics and effectively communicating the results of the research. Emphasizes econometric analysis of an assigned economic question and culminates in each student choosing an original topic, performing appropriate analysis, and delivering oral and written project reports.
Limited to 20 per section. Emphasizes econometric theory, methods, and applications using regression, instrumental variables, differences-in-differences, regression discontinuity designs, machine learning and big data sets, and problems related to standard errors and statistical inference. Includes a project with a theoretical, written and data-analytic component. Familiarity with Stata or a similar statistical programming language recommended.
Provides an applied treatment of modern causal inference with high-dimensional data, focusing on empirical economic problems encountered in academic research and the tech industry. Formulates problems in the languages of structural equation modeling and potential outcomes.
Presents state-of-the-art approaches for inference on causal and structural parameters, including de-biased machine learning, synthetic control methods, and reinforcement learning. Introduces tools from machine learning and deep learning developed for prediction purposes, and discusses how to adapt them to learn causal parameters.
Emphasizes the applied and practical perspectives. Requires knowledge of mathematical statistics and regression analysis and programming experience in R or Python. Introduction to probability and statistics as background for advanced econometrics.
Covers elements of probability theory, sampling theory, asymptotic approximations, hypothesis testing, and maximum-likelihood methods. Illustrations from economics and application of these concepts to economic problems. Explains basic econometric ideas and methods, illustrating throughout with empirical applications. Cross-sectional causal inference is emphasized and examples of economic models are given. Topics include randomized trials, regression, instrumental variables, regression, discontinuity designs, and diffs-in-diffs.
Basic asymptotic theory for regression is studied and problems related to standard errors and statistical inference are resolved. No listeners. Covers key models as well as identification and estimation methods used in modern econometrics.
Presents modern ways to set up problems and do better estimation and inference than the current empirical practice. Introduces generalized method of moments and the method of M-estimators in addition to more modern versions of these methods dealing with important issues, such as weak identification or biases arising in high dimensions.
Also discusses the bootstrap and explores very high dimensional formulations, or "big data. Studies theory and application of time series methods in econometrics, including spectral analysis, estimation with stationary and non-stationary processes, VARs, factor models, unit roots, cointegration, estimation of DSGE models, and Bayesian methods.
Develops a full understanding of and ability to apply micro-econometric models and methods. Topics include extremum estimators, including minimum distance and simulated moments, identification, partial identification, sensitivity analysis, many weak instruments, nonlinear panel data, de-biased machine learning, discrete choice models, nonparametric estimation, quantile regression, and treatment effects.
Methods are illustrated with economic applications. Exposes students to the frontier of econometric research. Includes fundamental topics such as empirical processes, semiparametric estimation, nonparametric instrumental variables, inference under partial identification, large-scale inference, empirical Bayes, and machine learning methods. Other topics vary from year to year, but can include empirical likelihood, weak identification, and networks.
Develops research ability of students through intensive discussion of dissertation research as it proceeds, individual or group research projects, and critical appraisal of current reported research. Workshops divided into various fields, depending on interest and size.
Prereq: Permission of instructor G Spring units. Group study of current topics in development policy and research. Includes student presentations and invited speakers. Explores the role of government in the economy, applying tools of basic microeconomics to answer important policy questions such as government response to global warming, school choice by K students, Social Security versus private retirement savings accounts, government versus private health insurance, setting income tax rates for individuals and corporations.
Students taking the graduate version complete additional assignments. See description under subject Introduces key concepts and recent advances in environmental economics, and explores their application to environmental policy questions. Topics include market efficiency and market failure, methods for valuing the benefits of environmental quality, the proper role of government in the regulation of the environment, environmental policy design, and implementation challenges.
Considers international aspects of environmental policy as well, including the economics of climate change, trade and the environment, and environmental challenges in developing countries.
Introduces students to key concepts and recent advances in environmental economics, and explores their application to environmental policy questions. Topics include market efficiency and market failure, methods for valuing the benefits of environmental quality, the proper role of government in the regulation of the environment, environmental policy design and implementation challenges.
Also considers international aspects of environmental policy including the economics of climate change, trade and the environment and environmental challenges in developing countries. Analyzes business and public policy issues in energy markets and in the environmental markets to which they are closely tied. Examines the economic determinants of industry structure and evolution of competition among firms in these industries. Investigates successful and unsuccessful strategies for entering new markets and competing in existing markets.
Industries studied include oil, natural gas, coal, electricity, and transportation. Topics include climate change and environmental policy, the role of speculation in energy markets, the political economy of energy policies, and market power and antitrust. Two team-based simulation games, representing the world oil market and a deregulated electricity market, act to cement the concepts covered in lecture. Primarily for doctoral students in finance, economics, and accounting.
Theoretical and empirical perspectives on individual and industrial demand for energy, energy supply, energy markets, and public policies affecting energy markets. Discusses aspects of the oil, natural gas, electricity, and nuclear power sectors.
Examines energy tax, price regulation, deregulation, energy efficiency and policies for controlling pollution and CO 2 emissions. Primarily for doctoral students in accounting, economics, and finance.
Restricted to doctoral students. Provides an introduction to dynamic optimization methods, including discrete-time dynamic programming in non-stochastic and stochastic environments, and continuous time methods including the Pontryagin maximum principle. Applications may include the Ramsey model, irreversible investment models, and consumption choices under uncertainty. Introduces the sources and modeling of economic growth and income differences across nations.
Topics include an introduction to dynamic general equilibrium theory, the neoclassical growth model, overlapping generations, determinants of technological progress, endogenous growth models, measurement of technological progress, the role of human capital in economic growth, and growth in a global economy.
Investigation of why aggregate economic activity fluctuates, and the role of policy in affecting fluctuations. Topics include the link between monetary policy and output, the economic cost of aggregate fluctuations, the costs and benefits of price stability, and the role of central banks. Introduction to real business cycle and new Keynesian models. Provides an overview of models of the business cycle caused by financial markets' frictions and shocks. Topics include credit crunch, collateral shocks, bank runs, contagion, speculative bubbles, credit booms, leverage, safe asset shortages, capital flows and sudden stops.
Advanced subject in macroeconomics that seeks to bring students to the research frontier. Topics vary from year to year, covering a wide spectrum of classical and recent research. Topics may include business cycles, optimal monetary and tax policy, monetary economics, banking, and financial constraints on investment and incomplete markets.
Topics vary from year to year. Often includes coordination failures; frictions in beliefs, such as rational inattention, higher-order uncertainty, certain forms of bounded rationality, heterogeneous beliefs, and ambiguity; implications for business cycles, asset markets, and policy; financial frictions and obstacles to trade; intermediation; liquidity; safe assets; global imbalances; financial crises; and speculation.
Preference to juniors, seniors, and Energy Minors. Theory and evidence on government taxation policy. Topics include tax incidence; optimal tax theory; the effect of taxation on labor supply and savings; taxation and corporate behavior; and tax expenditure policy.
Key topics include theoretical and empirical analysis of insurance market failures, the optimal design of social insurance programs, and the design of redistributive programs. Prereq: None G Spring units. Theory and evidence on environmental externalities and regulatory, tax and other government responses to problems of market failure. Topics include cost-benefit analysis; measurement of the benefits of non-market goods; evaluation of the impacts of regulation; and international environmental issues including the economics of climate change and trade and the environment.
In March , the Air Force softened its stance and decided to allow those airmen to re-enlist or extend their service if they wanted to and if their squadron commander approved, although they were still ineligible for promotion. AFPC said later in that 5, enlisted airmen ended up being ineligible for consideration for promotion to technical sergeant due to their failure to complete the distance learning course.
This was a key factor driving the 8,airman drop in eligibility for E-6 promotion that year. Another senior airmen were left ineligible for promotion to staff sergeant as well, AFPC said.
Stephen Losey is the air warfare reporter at Defense News. He previously reported for Military. Before that, he covered U. Air Force leadership, personnel and operations for Air Force Times. Your Air Force. By Stephen Losey.
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