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4806: Financial Modeling and Programming Summer Kobayashi In this class, we aim to acquire important concepts and some methodologies for financial modeling and technologies of computer programming, which will be available for practical aspect. We are going to cover the following as topics for this year: 1. Basic Financial Calculations 2. Calculating the Cost of Capital 3. Financial Statement Modeling 4. Portfolio Models - Introduction 5. Calculating the Variance-Covariance Matrix 6. Calculating Efficient Portfolios When there are No Short-Sale Restrictions 7. Estimating Betas and the Security Market Line 8. Efficient Portfolios without Short Sales 9. Value at Risk 10. An Introduction to Options 11. The

FB2900 Health & Fitness - Exercise and Weight Control Course Aims & Objectives: The aims of this course are to develop a positive / healthy body image of students, to improve their physical condition, as well as to enhance their self esteem and quality of life. The aim of weight control is not only talking about weight reduction, but also including gaining body weight. Upon completion of the course, students should be able t understand what is Over Weight and Over Fat be aware of "Body Image / Self Esteem" that related to the personal success realize "Physical Exercise" and "Healthy Diet" is crucial for

Faculty of Economic at The University of Tokyo 5702: Mathematics II Winter Kamiya This course covers basic topics in calculus: elementary topology, derivatives, inverse and implicit function theorems, integral, and nonlinear programming.

Faculty of Economic at The University of Tokyo 4501: Computer and Information Processing Summer Omori This course introduces several computational methods for econometric analysis. We start with the popular econometric software, TSP and STATA, using real data examples.

Faculty of Economic at The University of Tokyo 4013: Advanced Macroeconomics Summer/Winter Esteban-Pretel& Hayashi This is the first part of the graduate core macro sequence. The objective of the sequence is to provide students with tools for conducting dynamic macroeconomic analysis and show how to apply those tools to leading macro models. The tools covered in the first part of the sequence are difference equations, Markov chains, dynamic programming, and programming with Matlab. This course will cover materials suitagble for a first-year graduate macroeconomics course. The textbook is RECURSIVE MACROECONOMIC THEORY, by L. Ljungqvist and T. Sargent, MIT Press.

Entrepreneurship (EKM 2101) The course introduces students to entrepreneurship, especially for small enterprises. The discussions begin with idea creation, feasibility analysis, business plan, organization, and business development. The aims of this course are to introduce students to entrepreneurship concepts, to exercise students in developing and analyzing ideas, arranging and drafting plan, organize and develop business, and to provide an opportunity for students to exercise their skills in conducting research on some small businesses.

Decision Models This half course introduces computer-based models and their use in structuring information and supporting managerial decisions. You examine linear programming, multi-period planning models under uncertainty, non-linear programmes and Monte Carlo simulations.

Introductory Program Introduction to Management Introduction to Marketing Introduction to Finance Fundamental Accounting Mathematical Models for Business Sciences Introduction to Computer Sciences Introduction to Programming

Management Science and Computer Based Modeling Business involves dealing with numbers. Numbers are then used strategically to make business decisions. This course is about how to formulate business problems involving numbers and how to solve them using the latest computer tools. The course introduces modeling techniques for resource allocation, operational, and other managerial problems. The course will make full use of computer tools (Excel, CrystalBall and Macros) that integrate the knowledge and implementation skills to solve such managerial problems. It is assumed that students who take this course have familiarity with Windows environment on a PC and have basic Excel skills.

MFIN6002A Spreadsheet Modelling in Finance Chau, Michael General Information This course is intended to introduce spreadsheet (MS Excel) as a financial modeling tool and understand its capabilities and limitations. It is designed to teach students to apply Visual Basic for Applications (VBA) to automate spreadsheet applications and extend the functionality of the spreadsheet. Numerical derivative pricing by implementing models in VBA will be illustrated. Examples include Black-Scholes formula, Greeks Parameters, Binomial Tree and Monte Carlo Methods. Statistical computations with application to Risk Management will also be demonstrated. This course will also explore to optimize the computational power of Excel through the

Marketing Management (EKM 2102) This is a follow on from Marketing Management which explores in greater depth the basic marketing concepts. The course explains the methods, techniques, and processes of formulating and developing a marketing plan to achieve their marketing objectives through certain steps in the marketing plan which includes activities such as segmentation, targeting, marketing strategies and programs formulation technically called product, price, place or distribution and promotion, and action plan. The objectives of this course are to enrich students with a better understanding about (1) the mechanism of making marketing decisions, (2) basic marketing concepts and recent development in

ICS , Graduate School of International Corporate Strategy [Term 3] Negotiation (S. Akutsu) (2009/Term 3&4 (Spring&Summer)) The goal of this course is to enable students to be more effective negotiators. In many situations, such as transactions between suppliers and buyers, deals between venture capitalists and entrepreneurs, conflicts between management and unions, and alliances between two firms, different parties typically have different interests, perceptions, and values; thus, negotiation skill is a key factor for success. The course will provide a brief introduction of game theory, behavioral decision-making theory, and social psychology, which are fundamental to effective negotiation. The course will also emphasize practice so

Faculty of Economic at The University of Tokyo 5052: Credit Risk Modeling Winter Bohn This course focuses on quantitative techniques used to model credit risk. In particular, we will discuss both structural and reduced-form models used to estimate default probabilities and loss given default. These fundamental model components will serve as the foundation to explore credit risk assessment, corporate debt valuation, credit derivative valuation, correlation estimation, and credit portfolio management. Emphasis will be placed on model building, model validation, and interpreting model output. Students will be required to do some high-level programming in a package such as Matlab. Some empirical testing exercises will

Foundations of Web Technologies The Internet and World Wide Web (WWW) technologies are evolving fast. The knowledge of cutting edge technologies and how they are used for Web based e-business applications are "must have" skills not only for e-business systems developers but for all other e-business professionals. Organizations aim to "seamlessly" integrate WWW and the Internet into their business operations. This course provides a practical understanding of the breadth of the most widely used professional web technologies such as networking and Internet fundamentals, browser side programming (i.e. scripting) and server side programming (i.e. interactive dynamic web development using databases). Students

Faculty of Economic at The University of Tokyo 4051: Applied Statistics Summer Omori This course introduces a statistical simulation method, "Markov chain Monte Carlo," using Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference (2nd edition) written by Gamerman and Lopes (2006) . We begin with an introduction of Bayesian statistical analysis and a matrix computer language such as Ox for the calculation of simulations.