10 courses with the subject eCornell CHEME, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
eCornell CHEME121Creating a Budget0
Budgeting is a key skill, especially for scientists and engineers. Money management skills are crucial for reaching your personal and professional goals. How can you learn to generate a comprehensive budget and leverage it to help you make important financial decisions? In this course, you will investigate the many elements that comprise an accurate, inclusive budget. You will explore how a budget can help guide your financial choices and map out options to respond to change. You will use a spreadsheet to create your own personal budget and, through quantitative examples, you will understand the important budgetary implications of elements such as taxes, debt, and longer-term savings. By the end of the course, you will have these critical skills to manage your personal and professional money with ease.
eCornell CHEME122Determining the Value of an Asset0
Recommending the purchase of a new asset and approximating its cost is often a key responsibility of engineers and scientists. For the financial health of the organization, it's important that such purchases are only made when truly necessary and that cost estimates are accurate. How can you gain the skills necessary to assess these factors? In this course, you will identify the different types of common business assets and how to determine their value. Through real-world examples, you will also examine alternatives to new capital investments and consider methods to account for the loss of an asset's value over time. This course includes electronic access to a key reference text, Product and Process Design Principles, (Seider and Seader), which you will use to practice estimating the capital cost and depreciation losses of a major piece of process equipment. By the end of this course, you will be set up for success as you better understand the value of assets in your work.
eCornell CHEME123Interpreting Financial Statements and Ratios0
Technical expertise can help you boost efficiency and innovate new products, but to convince stakeholders to invest in these advances, you will need a degree of financial literacy. What financial documents are you likely to encounter? How can you use that information to determine the fiscal health of an organization? If you are seeking investors for a new venture, how can you ensure your financials are making a compelling case? In this course, you will explore accounting standards and three of the most critical corporate financial documents: the balance sheet, the income statement, and the statement of cash flow. Using real-world examples, you will examine a corporate annual report and calculate metrics that can reveal the financial health of an organization. You will also investigate how scientists and engineers contribute to improving organizational finances, with special consideration for the cost of manufacturing, an expense most commonly determined by the work of technical personnel. By the end of this course, you will have new skills in understanding corporate financial documents, calculating ratios, and estimating operating costs.
eCornell CHEME124Assessing the Financial Viability of a Project or Business0
Whether you are using your technical expertise to plan a project within an organization or to seek investors for a new venture, you will need to peer into the financial future of your endeavors. This likely includes identifying potential areas of risk, incorporating the changing value of money over time, and projecting future revenues and rates of return for your proposal. In this course, you will practice the skills needed to determine whether a new project makes good financial sense. Based on sample calculations and guidance on making projections for a new venture, you will incorporate simple equations to compare the present and future value of money and to determine rates of return, return on investment, and payback periods. Finally, you will consider the uncertainties involved in new project proposals and methods to visualize them for the benefit of you and your stakeholders. By the end of this course, you will have experience calculating critical metrics and analyzing risks, enabling you to fully evaluate the financial viability of a proposed project.
eCornell CHEME131Quantitative Modeling of Fixed Income Debt Securities0
United States Marketable Treasury Securities are widely considered one of the safest global investments. How can you better understand, apply, and model these securities? In this course, you will be introduced to zero-coupon and multiple-coupon Treasury securities. You will compute the price of these investments using the Julia programming language and discover what factors influence the price. After completing this course, you will understand the different types of Treasury securities, how to price them, the factors that influence their price, and how to model their outcomes, setting you up with hands-on experience in foundational quantitative skills.
eCornell CHEME132Equity Asset Pricing Using Stochastic Models0
When people think about investing, they typically consider stocks and the stock market. Unlike Treasury securities, investing in equities like stocks involves purchasing shares in a publicly traded company on an exchange, which comes with significant risks due to share price fluctuations. Predicting exact future share prices is likely an unsolvable problem, but using the power of modeling, you can predict a range of possible future equity share price values. In this course, you will discover how to use tools in the Julia programming language to simulate and analyze equity share price distributions. You will explore different approaches, from approximating future prices using discrete lattice models to using continuous stochastic modeling to simulate the prices over time for individual stocks and groups of stocks. By the end of the course, you will be able to predict future share price distributions, understand the statistical properties of these distributions, and evaluate the various methods for modeling share prices.
eCornell CHEME133Analysis of Equity Derivatives at Expiration0
Equity derivatives are one of the most exciting and fastest-growing investment categories. It's important to note, however, that these instruments are considerably more complicated than equity and come with unique risks. In this course, you will examine options and use the Julia programming language to calculate the payoff and profit of these investment products at expiration. Along the way, you will get hands-on experience with simulating options chains and computing profit diagrams. By the end of the course, you will be able to analyze the performance of individual contracts, understand the different styles and types of contracts, and explore combinations of contracts that can result in profitable trades regardless of whether the underlying equity asset price goes up, down, or stays the same.
eCornell CHEME134Analysis of Equity Derivatives Before Expiration0
Equity derivatives are one of the most exciting and fastest-growing investment categories. Yet these instruments are considerably more complicated than equity and come with unique risks. In this course, you will examine option contract pricing. You will gain hands-on experience with modeling option contract prices based on market and contract parameters, the impact of changing conditions on contract prices (known as the Greeks), and how options contracts can be combined with equity to create unique investment strategies. By the end of the course, you will be able to analyze the performance of contracts over time and under different market conditions before expiration and prepare strategies to use contracts to hedge against various types of market risks.
Portfolio allocation is a continuous challenge: Investors must find the right balance between seeking higher returns and managing increased risk. How can you use quantitative modeling to help optimize your portfolio? In this course, you will delve into data-driven and model-based approaches to portfolio allocation using the Julia programming language. You will discover various methods to estimate the required components of the allocation problem from data or by using simple models. You will then determine how to evaluate portfolio performance and examine the role of diversification in portfolio performance. Finally, you will explore utility maximization, risk aversion, and behavioral finance to help you better understand portfolio allocation choices. By the end of the course, you will be able to develop optimized portfolios that consist of combinations of both more risky assets and risk-free ones to balance risk and reward.
Machine learning and artificial intelligence are revolutionizing many fields, including quantitative finance and financial decision making. These technologies offer the possibility of developing advanced approaches to model market behavior and predict optimal trade decisions using various investment tools. In this course, you will discover how to use the Julia programming language for quantitative financial decision making. You will be introduced to tools like Markov models, Markov decision processes, reinforcement learning, and Q-learning. To apply this knowledge, you will get firsthand experience with the process of building a trading bot. By the end of the course, you will be able to model and analyze investment decision making and develop automated trading systems using these tools.
