Class 1 - Should I be getting into this market: Market Sizing: In this segment, students will learn techniques for estimating the size and potential of target markets. Through bottom-up approaches, students will gain insights into assessing total addressable market, service addressable market and service obtainable market. Class 2 - Does the business make sense: Financial Modeling for Startups: This class focuses on building financial models tailored to the unique needs and dynamics of startup ventures. Students will learn to construct financial projections incorporating revenue forecasts and expense estimates. Emphasis will be placed on understanding key financial metrics and assumptions critical for evaluating the financial viability and sustainability of a startup business. Class 3 - How much money will I need: Cash Flow Planning: This session explores the importance of cash flow management for startup ventures. Students will learn techniques for forecasting cash inflows and outflows, identifying potential cash flow gaps, and implementing strategies to optimize cash flow efficiency. Topics covered include cash flow statements, working capital management, and liquidity planning. Additionally students will examine the concept of runway planning, which involves estimating the length of time a startup can operate before depleting its available resources. Through scenario analysis and sensitivity testing, students will learn to assess the impact of various factors on runway length, such as revenue growth, expense management, and fundraising timelines. Class 4 - Where can I get this money: This segments will be focus on the three most common sources of financing for startups. Bootstrapping: This section explores bootstrapping strategies for financing startup ventures without external capital. Students will learn creative methods for minimizing costs, leveraging existing resources, and generating revenue to fuel business growth. Debt Financing: In this session, students will explore the use of debt financing as a source of capital for startup ventures. Topics covered include different types of debt instruments, loan structures, credit assessment criteria, and debt repayment strategies. Equity Financing: This segment focuses on equity financing options available to startup ventures, including angel investment, venture capital, and corporate venture capital. Students will learn about the equity investment process, it¿s benefits and down-sides. Class 5 - What will this money cost me: Startup Valuation: This class explores the art and science of startup valuation, examining various methodologies and approaches used to determine the worth of a startup venture. Students will learn to assess the value of a startup based on factors such as market opportunity, revenue potential, competitive landscape, and growth prospects. Cap Tables, Equity Instruments, and Dilution: In this session, students will gain an understanding of capitalization tables (cap tables) and equity instruments used to invest in startup ventures. Topics covered include common stock, preferred stock, stock options, convertible securities, and warrants. Students will learn to construct and analyze cap tables, evaluate the impact of equity financing on ownership stakes, and understand the concept of dilution.

Class 1 In this first class we¿ll briefly present the course and introduce the financial planning / business modeling process as a tool for entrepreneurial decision making. We¿ll look at the general structure and best practices for building models followed by a deep dive into market sizing and the different ways to get to a realistic market size for early stage companies. Exercise: Small case study related to market sizing, and the kick off of the business model. Class 2 In this class we will focus on two topics: Customer acquisition and sales projection. We¿ll learn how to build these projections and look at the most important sales and acquisition metrics. Once we¿ve modeled the income of the company, we¿ll look at the cost structure necessary to achieve this, build out the income statement and its main metrics. Exercise: Small case study related to customer acquisition. We¿ll add the income statement and the different metrics to our business models. Class 3 In class three we¿ll look at how cash planning varies for different business models and the effect of different types of financing on the cash flows of a company. Also, we¿ll learn how to model this in a cash flow statement. Exercise: Small case study related to cash planning, and we¿ll add the cash flow statement to our business models. Class 4 In this class we will focus on two topics: An introduction to cohort analysis. We¿ll see why these are important for early and growth stage companies, and how to construct them. Sensitivity analysis. We will look at the different ways to perform sensitivity analysis, as well as how to create and test scenarios. Exercise: Small case study related to cohort analysis and we¿ll finish our business model adding the sensitivity analysis. Class 5 In this last class we will take a broad look at startup financing, including topics as: startup valuation, the different types of financing that are available to entrepreneurs, when it makes sense to raise capital, and how the fundraising process works. Exercise: The groups will present their business models.

Learning activities Lectures Case studies Active participation and attendance Group assignment Final exam Teaching methodologies Presentation during the class in which the main concepts of the subject are developed. Solution of practical cases, problems in class. Case study discussion in class. Preparation of an assignment in groups. Use of Artificial Intelligence (AI): The use of AI is allowed but not compulsory. Please be aware that, while AI tools can be useful to enhance your access to information and learning, you should try to take advantage of it to enhance your independent research skills, develop your critical thinking, and make your own assessment of the issues researched. Please also be aware of the reduction in the originality of your arguments and the risk of plagiarism that exists when you overrely on AI tools to generate content.