MPA-EPM Math Bootcamp

PEPM Math Bootcamp

This intensive, non-credit preparatory course is designed to equip MPA-EPM students with the foundational mathematical skills needed for success in the program. Topics include algebra, functions, systems of equations, and differential calculus, with a focus on applications relevant to economics and policy analysis. Completion of Math Bootcamp is essential for success in
Mathematics for Economists
, which builds directly on this material.

• Instructor: Emanuele Gerratana
  CULPA: 1 Info
• 0 points

Effective Global Leadership for Economic

Effective Global Leadership I

This mid-career global leadership development course provides intensive, collaborative, and highly interactive hands-on instruction, constructive evaluation, and ample opportunities to transform theory into practice.  It utilizes cutting-edge, research-based methodologies and customized case studies to build the next generation of leaders who turn differences into opportunities, ideas into solutions, and knowledge into action.  Students will acquire a variety of leadership skills in global contexts, including negotiation strategies, consensus building, collaborative facilitation, persuasion, design-thinking-based problem-solving techniques, and public speaking in knowledge-intensive industries.  They will gain a competitive edge in their professional careers by participating in a variety of simulation games, role-playing exercises, and mock public policy panels to apply the skills they have learned and receive valuable feedback.

• 1.5 points

Microeconomics I

The objective of this course is to introduce students to microeconomics, providing them with a strong foundation of the basic principles of economic theory. We will discuss consumer theory (preferences, choices, and demand), producer theory (production functions, cost minimization, and supply), and their interaction in the market, represented by the perfectly competitive equilibrium.

• Instructor: Muhammad Asali
  h-index: 7 Info
• 1.5 points

Microeconomics I

The objective of this course is to introduce students to microeconomics, providing them with a strong foundation of the basic principles of economic theory. We will discuss consumer theory (preferences, choices, and demand), producer theory (production functions, cost minimization, and supply), and their interaction in the market, represented by the perfectly competitive equilibrium.

• 0 points

Macroeconomics I

This is a graduate-level course on macroeconomics and international macroeconomics. It is intended to: (i) develop the basis for a thorough understanding of how an economy works at the aggregate level and (ii) build a framework that facilitates the analysis of different government policies and shocks on the economy in an open economy setting.

• Instructor: Jonathan T Malagon
  Info
• 3 points

Macroeconomics I

This is a graduate-level course on macroeconomics and international macroeconomics. It is intended to: (i) develop the basis for a thorough understanding of how an economy works at the aggregate level and (ii) build a framework that facilitates the analysis of different government policies and shocks on the economy in an open economy setting.

• 0 points

Mathematics for Economists

The objective of this course is to provide a short introduction to the (basic) mathematics used in economics. By the end of the course, you should be familiar with several basic tools used in economics including calculus of functions of several variables, optimization problems with and without constraints. A solid grasp of these mathematical tools will enhance the students´ understanding of economic models and econometric techniques.

• Instructor: Wouter R Vergote
  CULPA: 15 Info
• 1.5 points

Mathematics for Economists

The objective of this course is to provide a short introduction to the (basic) mathematics used in economics. By the end of the course, you should be familiar with several basic tools used in economics including calculus of functions of several variables, optimization problems with and without constraints. A solid grasp of these mathematical tools will enhance the students´ understanding of economic models and econometric techniques.

• 0 points

Accounting and Finance

The course examines and emphasizes the basic principles of financial accounting and finance (from the financial manager's perspective) and is sufficiently general to be of interest to all graduate students. We will begin by introducing how financial information is communicated and furthermore used to forecast the financial performance of a firm. Next, we discuss how financial markets and institutions function and are organized with a global perspective. We then present the framework for asset valuation. Finally, we study the capital structure of the firm and how managers can optimize the value of a firm conditional on the choice of financing.

• Instructor: Ethan Namvar
  CULPA: 2 Info
• 3 points

Accounting and Finance

The course examines and emphasizes the basic principles of financial accounting and finance (from the financial manager's perspective) and is sufficiently general to be of interest to all graduate students. We will begin by introducing how financial information is communicated and furthermore used to forecast the financial performance of a firm. Next, we discuss how financial markets and institutions function and are organized with a global perspective. We then present the framework for asset valuation. Finally, we study the capital structure of the firm and how managers can optimize the value of a firm conditional on the choice of financing.

• 0 points

Introductory Statistics

This course introduces students to the fundamentals of statistical analysis. We will examine the principles and basic methods for analyzing quantitative data, with a focus on applications to problems in public policy, management, and the social sciences. We will begin with simple statistical techniques for describing and summarizing data and build toward the use of more sophisticated techniques for drawing inferences from data and making predictions about the social world.

The course will assume that students have little mathematical background beyond high school algebra. Students will be trained on STATA, which is supported in the SIPA computer lab. This powerful statistical package is frequently used to manage and analyze quantitative data in many organizational and institutional contexts. A practical mastery of a major statistical package will be an important proficiency for many of you down the road. You can obtain more information about your lab sticker at the SIPA lab, which is located on the 5th floor of IAB.

The formal mathematical foundation of statistics is downplayed; students who expect to make extensive and customized use of advanced statistical methods may be better served by a different course. This course also offers less practice in writing research papers using quantitative analysis than some courses (e.g., Political Science 4910). Most SIPA students, however, should benefit from our emphasis on generating and interpreting statistical results in many different practical contexts.

• Instructor: Doru Cojoc
  Info
• 3 points

Introductory Statistics

This course introduces students to the fundamentals of statistical analysis. We will examine the principles and basic methods for analyzing quantitative data, with a focus on applications to problems in public policy, management, and the social sciences. We will begin with simple statistical techniques for describing and summarizing data and build toward the use of more sophisticated techniques for drawing inferences from data and making predictions about the social world.

The course will assume that students have little mathematical background beyond high school algebra. Students will be trained on STATA, which is supported in the SIPA computer lab. This powerful statistical package is frequently used to manage and analyze quantitative data in many organizational and institutional contexts. A practical mastery of a major statistical package will be an important proficiency for many of you down the road. You can obtain more information about your lab sticker at the SIPA lab, which is located on the 5th floor of IAB.

The formal mathematical foundation of statistics is downplayed; students who expect to make extensive and customized use of advanced statistical methods may be better served by a different course. This course also offers less practice in writing research papers using quantitative analysis than some courses (e.g., Political Science 4910). Most SIPA students, however, should benefit from our emphasis on generating and interpreting statistical results in many different practical contexts.

• 0 points