This course is an undergraduate major course which is highly recommended for students pursuing a specialization in IT Business, in particular to develop a strong understanding of computer networks. Students will learn the past, state-of-art and future technologies of computer networking and communications.

This course intent for students to understand AI basics with reference to product development and AI applications　

This course is an undergraduate major course which is highly recommended for students pursuing a specialization in Ditigal Business and Innovation, and Business Economics, in particular to develop a strong background and understanding of the Artificial Intelligence (AI) and Internet of Things (IoT), and to develop creative thinking skills for innovations based on AI and IoT.

This course is designed for those interested in starting up a business and anticipating a career in organizations and government offices supporting start ups, or in business innovation and development departments. It covers an array of various topics, including; (1) Ideation, (2) Analysis, (3) Presenting Business Model, (4) Proof of concept, (5) Entrepreneurship Finance.

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This course reviews common funding options available to raising capital for business like crowdfunding, angel investments, incubators & accelerators, & venture capital. The course provides an overview of the industry as well as components required per funding option, & provides insights on indicators investors look for in startups. This course aims to provide fundamental skills & tools needed to understand, evaluate, & conduct effective pitches in order to receive financing for your business. Part of this course will be on practical skills, focusing on how an entrepreneur should go about soliciting funds, as well as different methods of pitching to potential investors, writing comprehensive business plans, & developing techniques & documentation to help secure funding for a new venture.

Students will be able to:
・Produce a competent start up plan
・Distinguish between the different funding options available and the advantages and disadvantages of each option
・Identify the elements of a good pitch and replicate them
・Design a plan to obtain funding from each funding option
・Generate the required deliverables for each funding option
・Create a pitch to appeal to potential investors

This course intent for students to understand AI basics with reference to product development and AI applications.

This course's intent is for students to understand AI and ML from decision making perspective and building ability in students to apply AI and ML for decision-making and diagnostic applications.

This course is an undergraduate major course which is highly recommended for students pursuing a specialization in Ditigal Business and Innovation, and Business Economics, in particular to develop a strong background and understanding of the Artificial Intelligence (AI) and Internet of Things (IoT), and to develop creative thinking skills for innovations based on AI and IoT.

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Understand Big Data perspective towards mining unstructured data.

Learn various methods of text mining and applications of text mining.

This is an introductory course in the theory and practice of the econometric methods. The main components of the course deal with the economic applications of the linear multiple regression model, identification and structural estimation in simultaneous models, and analysis of economic behavior.

This course provides you with the fundamental skills and tools needed to understand, evaluate and conduct business research. Business research is vital in the assessment of new business opportunities, decisions for new products, pricing and product design issues, evaluating employees, identifying operational inconsistencies and other relevant business issues. In this course, we will go through the basic research process to understand how to formulate and structure business problems, gather and analyze qualitative and quantitative data, and make effective decisions based on those data. This is a hands-on course and the emphasis will be on practical skills and building depth and confidence in the most commonly used business research tools.　

Due to advance in technology, data is abundant, offering insights businesses require. However, large amounts of data may be complex & difficult to use. In business, we must understand how to capture, clean, contextualize, merge, store, access & analyze data to get better understanding of how to capture & merge data forms into database & convert it into knowledge.

Course provides overview of big data, underlying principles of a distributed system & how this forms a database, data pipelines & practices used in businesses, software systems used to handle big data, data security, & data provenance. Tools used to build databases or run data science introduced & students familiarized with information technologies used to manipulate, store & analyze data.

Students will be able to:
・Understand Big Data and its sources
・Identify the stages of the data processing pipeline
・Describe the design of database and its components
・Develop a plan to store big data into databases
・Differentiate between different solutions that are available for handling big data
・Recognize the value of big data and the opportunities it provides to businesses

This course is an undergraduate major course which is highly recommended for students pursuing a specialization in IT Business, in particular to develop a strong background and understanding of the Blockchain technology. Not only scientific and technological but also legal, political and social aspects and possible future consequences of Blockchain are covered. Consensus protocols and anonymity of Blockchain and possible attacks and security issues are covered. Basic and advanced real world Blockchain applications are implemented.

The novel technology, mobile devices, communication lines and devices highly affect life and the modern business. The purpose of this course is to introduce the internet of things and mobile technology to students and to demonstrate the capabilities of this technologies to create or add the value in various segments. 　

This course is devoted to the programming on R in application to business and statistics analysis, starting form the basics of programming and finishing with statistical analysis of data and visualization of the result by graphs.　

This course provides you with the fundamental knowledge about web and mobile technologies. Technology is integrated in all parts of our lives, with the web and mobile giving us increased interconnectivity with others. These tools are integral and skills that allow us to understand and to use these tools become increasingly important in the current digital economy. This course will aim to give students a first look into the coding behind web and mobile technologies and how these codes are constructed. Different functionalities are explored and students should be able to create a basic web page and mobile app at the end of the course.　

The modern marketer needs to learn how to employ strategic thinking alongside the use of digital media to deliver measurable and accountable business success. Digital Marketing Strategy covers the essential elements for achieving exactly this by guiding you through steps to create your perfect digital marketing strategy. This course analyses the essential techniques and platforms of digital marketing, which includes social media, content marketing, Search Engine Optimization, user experience, display advertising, as well as the broader aspects of implementation such as planning, integration with overall company aims, and presenting to decision makers. The course is composed of five main parts as mentioned in the course outline.

The combination of computers and communication, now commonly known as ICT or information and communication technologies made a rapid advance into business with the inventions related to Internet, smart phones, and business intelligence, dawning what is known as online business or digital business.

This course is an introduction to Digital Business. Starting from basics of information technology (IT) and communication, including Internet technologies, this course brings the students to understand businesses that had been created with the key components that were just mentioned. The course lays the foundation for students to "think digital" and "think strategically" on how to make businesses using "digital"

This course is an intermediate level course that builds on students' marketing knowledge learned in "Principles of Marketing." Students will apply their understanding of these basic principles of marketing to examine consumers, consumer culture, and consumer behavior from a global perspective. Students will learn how consumers behave in the globalized marketplace. International and Japanese case studies will be used as the basis for in-class discussions and analysis. "Principles to Marketing" is required as a prerequisite for this course. "Marketing Strategy" is also recommended as a prerequisite.

The course provides a working introduction to big data, both large n and large p, a new generation of prediction methods, a.k.a. machine learning, as well as the use of these methods for causal inference, i.e., causal machine learning. The hard part of empirical research in a data-rich environment is to raise good questions and do good data. To this end, we go through examples of the initial off-the-shelf applications of machine learning to economics. We then present highlights and empirical studies from the emerging econometric literature combining machine learning and causal inference. Mastery of techniques taught in a class demonstrated through the completion of a capstone project.

The purpose of the course is to arm students with a solid knowledge of python programming in application to business tasks and real-life purposes. And to introduce the applicable machine learning and deep learning techniques. As an outcome, students who will finish the course will be capable to use the obtained knowledge for the business analytics

The Global Marketing course focuses on opportunities and challenges created by globalization. It examines cross-cultural and management issues in an international marketplace. The aim of this course is to enable students to better analyze and understand the opportunities and challenges that companies face when expanding their activities internationally and when dealing within international competitors in their home markets. We draw from current business periodicals to raise our awareness of what is happening in the marketing environment and how trends affect industries, markets, and the effectiveness of strategies that marketers employ. Special attention is placed upon different tools and analytic competences to marketing managerial roles when competing internationally.

This course will provide an introduction to market research as a business decision-making tool. The primary goal of this course is to equip students with an understanding of how market research can help them make business decisions and how they can transform research findings into actionable business insights. The course also aims to help students gain the ability to evaluate and interpret research designed and conducted by outside providers. During the course, we will discuss a wide range of research methods and their application to the services and non-profit sectors. Students will have the opportunity to define a business problem, develop a research plan, collect and analyze data and present findings and their implications as a class project.

Effective organisational management is essential in order to establish, operate and lead business activities. But what is 'management', and how can we 'manage' organisations? This course is designed as an introduction to the principles and processes of management, including definitions and functions of management, management theories, planning, organising, leading and controlling organisations.

This course provides an introduction to the principles of marketing. Throughout this course we will examine the basic principles of marketing, including: segmentation, targeting, positioning, and the marketing mix (product, price, place, and promotion)--the STPMM. Students will learn how these various concepts work together to create an offering that will be successful in the marketplace. International and Japanese case studies (such as award-winning commercials that highlight a specific concept) will be used as the basis for in-class discussions and analysis. Prior knowledge of the subject is not required to take this course.

Students will be able to explain their understanding of the fundamental principles of marketing. After completing this course, students should be able to analyze real-world marketing examples using their knowledge of segmentation, targeting, positioning, and the marketing mix (product, price, place, and promotion).

This course provides basic economic concepts and theories. It discusses both decision making of individual agents' behavior (microeconomics) and aggregate level economic issues (macroeconomics). The first part of the course covers principles of economics, how to think as an economist, supply-demand-market mechanism, and elasticity. Then, the second part of the course discusses consumers' and producers' behaviors as well as externalities and public goods. The third part of the course covers various types of market. The last part of this course discusses macroeconomics issues including national income, production, growth, saving, investments and unemployment. Fundamentals of monetary system, aggregate demand and aggregate supply are also covered.

This course examines the determination of the macroeconomic variables such as national income, unemployment, inflation, investment and interest rates. After a brief introduction to macroeconomic data, the course is divided into three sections. The first studies the long-run behavior of aggregate measures of the economy. The second section focuses on the determinants of economic growth. In the third section, a model is developed to characterize short-run economic fluctuations. Throughout the course, we consider macroeconomic policies and particular economic issues of current interest.

This course introduces students to some of the fundamental ideas and tools of standard microeconomic theory and their applications to various business and policy issues. The topics include: demand and supply, consumer behavior, theory of the firm, markets and welfare, general equilibrium, strategic behavior, information economics, and market failures. Upon completion, students should be able to apply the concepts and models of microeconomics to real world problems.

This course is an undergraduate major course which is highly recommended for students pursuing a specialization in IT Business, in particular to develop a strong background and understanding of Digital Banking and FinTech. The course starts with Digital Banking and covers all important aspects of it, including cars, ATMs, mobile and internet banking, branchless banking, POS terminals, payment systems, etc. The course continues with FinTech and this part starts with how the data is giving rise to a new Economy. It covers the roles of AI and Deep Learning in FinTech. It also covers CRM in FinTech, and Blockchain technologies. I shall also present my experiences as the IT Department Manager of a Japanese Company (Has-Nihon Trading Co. Ltd.) where I developed smart business application systems and payment mechanisms for international trade.

The course provides a review of e-business and payment systems. The technology, market models and correspondent strategies of e-business will be discussed individually. In frame of payment systems students will study such topics as banking systems, credit cards, digital payment, security and others.　

This course provides the accounting fundamentals governing preparation of financial statements. It discusses the accrual accounting concepts, transactions analysis and the recording process. The first part of specific topics includes cash, receivables, inventories and long-term assets. The second part covers liabilities and equities. The statement of cash flow and financial statement analysis topics are also covered in the third part. Overall, the whole accounting cycle is discussed so that students will acquire knowledge of the preparation, proper reporting and analysis of financial statements.

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This course covers strategies for empirical research in a data rich environment. That is, we discuss the analysis of high dimensional data sets. Specifically, the course provides a working introduction to big data, both large n and large p, a new generation of prediction methods (a.k.a. machine learning), as well as the use of these methods for causal inference (causal machine learning). We go through examples of the initial off the shelf applications of machine learning to economics and finance. We also present highlights and empirical studies from the emerging econometric literature combining machine learning and causal inference. Mastery of techniques taught in a class demonstrated through the completion of a capstone project. Students will finish the course equipped with a familiarity with the (causal) machine learning techniques, facility with data handling, and programming.

This is an undergraduate course in Money and Banking that aims to provide a framework for understanding how financial institutions and markets work. This is an upper level course. The aim of the course is to provide an overview of the international financial system, discuss central banking and monetary policies, and how the stock markets, the bond markets and the mortgage markets operate. I will follow the topics in the main textbook by Frederic S. Mishkin. The main objective of the course is to provide a fresh perspective to the contemporary issues in financial policies. The students are expected to gain a deeper understanding of how the financial markets work through discussions of case studies in the class lectures.

This is an undergraduate major course on Informatics and Computing, which is highly recommended for students pursuing a specialization in IT Business. Starting from how a computer operates -including hardware, system and application software-, the course will continue with open source software and Linux. It covers network essentials, security, cryptography and Blockchain technology. It continues with developing web-sites with HTML, CSS and JavaScript, a brief look at programming languages at different levels, the course covers graph and algorithms, the principles of computing, modeling computation and Turing machine.

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The human resource function of modern organizations is critical, as people are our most important resource. This course is a survey of theory and practices, and current issues facing organizations as related to attracting, selecting, and maintaining a productive workforce in today's competitive operating environment. Students will examine the changing roles and responsibilities of human resources managers, the responsibilities of organizational leadership for incorporating human resource issues in strategic planning and initiatives with emphasis on current legal considerations.

Operations and Service Management covers two of the most important areas of businesses. Operations usually means using the resources of an organization to deliver its services in the most efficient way. Operations could basically be in any type of business or organization private or public. With the advancement of information technologies, the management of operations and services has become heavily data driven. The course introduces students to decision making tools and methods used by business in practice. Most of the classes are conducted in TIUs computer labs. Students will get hands on experience of the use of data science in operations and service management.

This course provides students the fundamentals principles of corporate finance. Students will learn major financial issues commonly faced by corporate decision-makers. The first part of the course will discuss the financial statements fundamentals, time value of money, valuation and capital budgeting decision. The second part of the course will cover the capital market, risk and return analysis, theories of capital structure and dividend policy as well as the short term financial management implementation.

This course is an undergraduate major course which is highly recommended for students pursuing a specialization in IT Business, in particular to develop a strong background and understanding of IT Project Management, aiming to become leaders in IT Business. The course starts defining the project and the project life cycle. It continues covering the basic concepts of a project, including strategic management, project team, project risk management, project budged and budget risk estimation, resource allocation, scheduling and using computer tools for scheduling, monitoring and controlling IT projects, and ends with the project termination, and preparing the final IT project report. I shall also present my experiences IT Department Manager of a Japanese Company (Has-Nihon Trading Co. Ltd.) where managed the projects on developed business and network application systems and payment mechanisms for international trade; as well my project management experiences as a Principal Investigator of international teams of researchers in quantum technologies.　

This course is designed for Business and Economics students. Topics include the review of linear and non-linear functions and models (including cost, revenue, profit, demand and supply), solving linear and non-linear systems of equations, matrices, mathematics of finance (including simple and compound interest), as well as optimization of constraint and unconstrained functions.

This course is a first course in applied statistics. It will familiarize you with the basics of statistical thinking, language, and techniques, thus providing you with the needed skills to address questions that have real life consequences and effects. By the end of the course, you will able to organize and summarize empirical data. This course will also teach you how to compute probabilities, making you skillful in the uses of theoretical probability distributions.

This course begins with the development of elementary functions, including their properties and applications. Then, we will cover finite mathematics, which includes mathematics of finance, linear algebra (matrices, linear systems, and linear programming), probability (starting with foundation for probability with a treatment of logic, sets, and counting techniques), application of linear algebra and probability.

This course will provide frameworks to understand the new digital marketing landscape and mechanisms on how firms can effectively implement their digital marketing strategies. It will provide an introduction to digital marketing, social media and business and explore how social media has disrupted traditional marketing strategies. The course will proceed to go in-depth into social media, the different forms it can take, how content can go viral and how businesses can go about using social media to market their business. We will explore how user-generated content is linked to social media and what can encourage users to create user-generated content and several tools that can quantify return on investments (ROI) on social media platforms.　　

This course is for those who had taken the Entrepreneurial Strategies course and intending to go the next step to develop the business model to a more or less real one. The course helps to refine the idea, find the market place, explore how to fundraising to launch the business. This course explains how you can run hypothesis testing to validate ideas and refine business strategy. You will learn how the entrepreneurs network with investors and how they make financial decisions to grow the business.

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This course uses various decision-making frameworks in marketing (11 models). Emphasis is placed on understanding quantitative methods employed by different disciplines in marketing and digital marketing. The course covers five main modules: 1) summarizing marketing data, 2) pricing, 3) Predicting new products sales, 4) advertising models, and 5) Internet and social media models.