Online courses directory (10358)

The fact of scarcity forces individuals, firms, and societies to choose among alternative uses – or allocations – of its limited resources. Accordingly, the first part of this summer course seeks to understand how economists model the choice process of individual consumers and firms, and how markets work to coordinate these choices. It also examines how well markets perform this function using the economist's criterion of market efficiency.

Overall, this course focuses on microeconomics, with some topics from macroeconomics and international trade. It emphasizes the integration of theory, data, and judgment in the analysis of corporate decisions and public policy, and in the assessment of changing U.S. and international business environments.

This course provides theoretical and practical training on the increasingly popular logistic regression model, which has become the standard analytical method for use with a binary response variable.

This course provides theoretical and practical training for epidemiologists, biostatisticians, and professionals of related disciplines in statistical modeling with particular emphasis on logistic regression.

This course is part of the Microsoft Professional Program Certificate in Data Science.

In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science.

In the first two modules, you will learn about common applications of specialized data types. Then, in the remaining two modules, you will focus on unstructured data. You will work with tools such as R, Python, and Azure Machine Learning to solve advanced data science problems.

15.012 Applied Macro- and International Economics uses case studies to investigate the macroeconomic environment in which firms operate. The first half of the course develops the basic tools of macroeconomic management: monetary, fiscal, and exchange rate policy. The class discusses recent emerging market and financial crises by examining their causes and considering how best to address them and prevent them from recurring in the future. The second half evaluates different strategies of economic development. Topics covered in the second half of this course include growth, the role of debt and foreign aid, and the reliance on natural resources.

This course seeks to establish understanding of the development processes of societies and economies by studying several dimensions of sustainability (environmental, social, political, institutional, economy, organizational, relational, and personal) and the balance among them. It explores the basics of governmental intervention, focusing on areas such as the judicial system, environment, social security, and health, and builds skills to determine what type of policy is most appropriate. We also consider implications of new technologies on the financial sector: Internationalization of currencies, mobile payment systems, and cryptocurrencies, and discuss the institutional framework to ensure choices are sustainable across all dimensions and applications. 

Explore how we have hidden secret messages through history. What is Cryptography?. Probability Space. The Caesar Cipher. Polyalphabetic Cipher. The One-Time Pad. Frequency Stability. The Enigma Encryption Machine (case study). Perfect Secrecy. Pseudorandom Number Generators.

Solve problems using Mathematics, Computer Science and more!. Introduction. The Discovery. Clue #1. Clue #2. Clue #3. Crypto Checkpoint 1. Clue #4. Checkpoint. Crypto Checkpoint 2. Crypto Checkpoint 3. What's Next?. Introduction. The Discovery. Clue #1. Clue #2. Clue #3. Crypto Checkpoint 1. Clue #4. Checkpoint. Crypto Checkpoint 2. Crypto Checkpoint 3. What's Next?.

The math behind human, animal and machine communication. What is Information Theory?. Prehistory: Proto-writing. Ptolemaic: Rosetta Stone. Ancient History: The Alphabet. Source Encoding. Visual Telegraphs (case study).

How have humans protected their secret messages through history? What has changed today?. What is Cryptography?. Probability Space. The Caesar Cipher. Caesar Cipher Exploration. Frequency Fingerprint Exploration . Polyalphabetic Cipher. Polyalphabetic Exploration. The One-Time Pad. Perfect Secrecy Exploration. Frequency Stability. Coin flip sequences. Frequency Stability Exploration. The Enigma Encryption Machine (case study). Perfect Secrecy. Pseudorandom Number Generators. Random Walk Exploration. Ciphers vs. Codes. Shift Cipher. Caesar cipher encryption. Caesar Cipher Decryption. Caesar cipher frequency analysis. Vigenere cipher encryption. XOR Bitwise Operation. XOR & the One-Time Pad. XOR Exploration. Bitwise Operators. What's Next?. The Fundamental Theorem of Arithmetic. Public Key Cryptography: what is it?. The Discrete Logarithm Problem. Diffie-Hellman Key Exchange. RSA Encryption: step 1. RSA Encryption: step 2. RSA Encryption: step 3. Time Complexity (Exploration). Euler's Totient Function. Euler Totient Exploration. RSA Encryption: step 4. What should we learn next?. What is Modular Arithmetic?. Modulo Operator. Congruence Modulo. Congruence Relation. Equivalence Relations. The Quotient Remainder Theorem. Modular Addition & Subtraction. Modular Addition. Modular Multiplication. Modular Multiplication. Modular Exponentiation. Fast Modular Exponentiation. Fast Modular Exponentiation. Modular Inverses. Introduction. Primality Test Challenge. Trial Division. Level 1: Primality Test. Running Time. Level 2: measuring running time. Computer Memory (space). Binary Memory Exploration. Algorithmic Efficiency. Level 3: Challenge. Sieve of Eratosthenes. Level 4: Sieve of Eratosthenes. Primality Test with Sieve. Level 5: Trial division using sieve. The Prime Number Theorem. Prime density spiral. Prime Gaps. Time Space Tradeoff. Summary (what's next?). Randomized Algorithms (intro). Conditional Probability (Bayes Theorem) Visualized. Guess the coin. Random Primality Test (warm up). Level 9: Trial Divison vs Random Division. Fermat's Little Theorem. Fermat Primality Test. Level 10: Fermat Primality Test. What's Next?. What is Cryptography?. Probability Space. The Caesar Cipher. Caesar Cipher Exploration. Frequency Fingerprint Exploration . Polyalphabetic Cipher. Polyalphabetic Exploration. The One-Time Pad. Perfect Secrecy Exploration. Frequency Stability. Coin flip sequences. Frequency Stability Exploration. The Enigma Encryption Machine (case study). Perfect Secrecy. Pseudorandom Number Generators. Random Walk Exploration. Ciphers vs. Codes. Shift Cipher. Caesar cipher encryption. Caesar Cipher Decryption. Caesar cipher frequency analysis. Vigenere cipher encryption. XOR Bitwise Operation. XOR & the One-Time Pad. XOR Exploration. Bitwise Operators. What's Next?. The Fundamental Theorem of Arithmetic. Public Key Cryptography: what is it?. The Discrete Logarithm Problem. Diffie-Hellman Key Exchange. RSA Encryption: step 1. RSA Encryption: step 2. RSA Encryption: step 3. Time Complexity (Exploration). Euler's Totient Function. Euler Totient Exploration. RSA Encryption: step 4. What should we learn next?. What is Modular Arithmetic?. Modulo Operator. Congruence Modulo. Congruence Relation. Equivalence Relations. The Quotient Remainder Theorem. Modular Addition & Subtraction. Modular Addition. Modular Multiplication. Modular Multiplication. Modular Exponentiation. Fast Modular Exponentiation. Fast Modular Exponentiation. Modular Inverses. Introduction. Primality Test Challenge. Trial Division. Level 1: Primality Test. Running Time. Level 2: measuring running time. Computer Memory (space). Binary Memory Exploration. Algorithmic Efficiency. Level 3: Challenge. Sieve of Eratosthenes. Level 4: Sieve of Eratosthenes. Primality Test with Sieve. Level 5: Trial division using sieve. The Prime Number Theorem. Prime density spiral. Prime Gaps. Time Space Tradeoff. Summary (what's next?). Randomized Algorithms (intro). Conditional Probability (Bayes Theorem) Visualized. Guess the coin. Random Primality Test (warm up). Level 9: Trial Divison vs Random Division. Fermat's Little Theorem. Fermat Primality Test. Level 10: Fermat Primality Test. What's Next?.

We've always been communicating.... as we moved from signal fires, to alphabets & electricity the problems remained the same. What is Information Theory?. Prehistory: Proto-writing. Ptolemaic: Rosetta Stone. Ancient History: The Alphabet. Source Encoding. Visual Telegraphs (case study). Decision Tree Exploration. Electrostatic Telegraphs (case study). The Battery & Electromagnetism. Morse Code & The Information Age. Morse code Exploration. What's Next?. Symbol Rate. Symbol Rate Exploration. Introduction to Channel Capacity. Message Space Exploration. Measuring Information. Galton Board Exploration. Origin of Markov Chains. Markov Chain Exploration. A Mathematical Theory of Communication. Markov Text Exploration. What's Next?. What is Information Theory?. Prehistory: Proto-writing. Ptolemaic: Rosetta Stone. Ancient History: The Alphabet. Source Encoding. Visual Telegraphs (case study). Decision Tree Exploration. Electrostatic Telegraphs (case study). The Battery & Electromagnetism. Morse Code & The Information Age. Morse code Exploration. What's Next?. Symbol Rate. Symbol Rate Exploration. Introduction to Channel Capacity. Message Space Exploration. Measuring Information. Galton Board Exploration. Origin of Markov Chains. Markov Chain Exploration. A Mathematical Theory of Communication. Markov Text Exploration. What's Next?.

20th century solutions to new problems in Cryptography. The Fundamental Theorem of Arithmetic. Public Key Cryptography: what is it?. The Discrete Logarithm Problem. Diffie-Hellman Key Exchange. RSA Encryption: step 1. RSA Encryption: step 2. RSA Encryption: step 3. Euler's Totient Function. RSA Encryption: step 4. What should we learn next?.

Why do Primes make some problems fundamentally hard? Build algorithms to find out!. Primality Test. Running Time. Computer Memory (space). Algorithmic Efficiency. Sieve of Eratosthenes. Primality Test with Sieve. The Prime Number Theorem. Time Space Tradeoff. Conditional Probability Visualized.

This course explores elements of nuclear physics for engineering students. It covers basic properties of the nucleus and nuclear radiations; quantum mechanical calculations of deuteron bound-state wave function and energy; n-p scattering cross section; transition probability per unit time and barrier transmission probability. It also covers binding energy and nuclear stability; interactions of charged particles, neutrons, and gamma rays with matter; radioactive decays; and energetics and general cross section behavior in nuclear reactions.

In this free online course, Applied Operations Management - Aggregate Planning, you will learn how aggregate planning is used in many businesses to match supply and demand of output over the medium time range of up to approximately 12 months in the future. Aggregate planning allows management to quantify materials and other resources that are to be procured so that the total cost of operations are kept to the minimum over a set period of time. The course begins by introducing the concept of aggregate planning and its use in medium term planning in businesses. You will be introduced to aggregate planning methodologies such as the tabular method and linear programming. You will learn how a tabular approach uses spreadsheets and the values of different variables, such as production by regular workforce and inventory levels can be calculated by using the costs associated with production, overtime, subcontracting, hiring, inventory and backorders. The tabular method is widely used because it is easy to understand and utilize. However, the generated solution may not be optimal and many trials and errors may be needed to find the optimal solution. The course also introduces the linear programming technique and a special type of linear programming known as the Transportation Model, which can be used to obtain aggregate plans that would allow balanced capacity and demand and the minimization of costs. This free online course will be of great interest to all professionals working in the areas operations management or general management who would like to learn more about aggregate planning and the methods used in this important area of operations management. The course will also be of interest to all learners who are interested in operations management as a future career.<br />

The free online course Applied Operations Management - Introduction to Forecasting shows learners why virtually all operations management decisions are based on a forecast of the future. Forecasts drive strategic operations decisions, such as choice of competitive priorities, changes in processes, and large technology purchases. Forecast decisions also serve as the basis for tactical planning and developing worker schedules. The course begins by introducing forecasting and describes why it is critical to the management of all functional areas within an organization. For example, marketing relies on forecasting to predict demand and future sales, and human resources forecasts future hiring requirements. You will then learn about forecasting methods such as time series forecasting. Time series models assume that information needed to generate a forecast is contained in a time series of data and that the future will follow the same patterns as the past. You will learn about simple mean, moving average, weighted moving average, and exponential smoothing methods. These forecasting methods are explained in detail with worked examples throughout. This free online course will be of great interest to all learners who have certified in ALISON's Diploma in Operations Management as it introduces practical applications of operations management in the area of forecasting. It will also be of great interest to all professionals working in the areas operations management or general management who would like to learn more about forecasting and the methods used to make predictive forecasts. The course will also be of interest to all learners who are interested in operations management as a future career.<br />

The free online course Applied Psychology - Introduction to Consumer Behavior introduces the psychological processes behind the behavior of consumers and how they make their decisions. All consumers are similar in that they all have needs and wants, but all are different in that they have different consumption patterns and consumption behavior. In this course you will learn about the nature and scope of consumer behavior, and how it evolved from other disciplines such as psychology and sociology into its own distinct field of study. You will then learn about the application of consumer behavior and how studying it helps marketers formulate appropriate marketing strategies for consumers and their environment. You will learn how the study of consumer behavior may be applied to segment the market, select the target market and position the product or service offering. The course then introduces the very important area of consumer decision making, in particular, programmed decision making and non-programmed decision making. You will also learn how the study of consumer behavior has identified five buying roles and how the marketer needs to understand these roles so as to be able to frame suitable marketing strategies to target them. This free online course will be of great interest to all learners who have certified in ALISON's Diploma in Psychology as it introduces practical applications of psychological processes in the area of consumer behavior. It will also be of great interest to marketers and professionals in the area of consumer marketing who would like to learn more about the psychology of consumer behavior.<br />

The free online course Applied Psychology - Matching Marketing Strategies to Consumer Personalities introduces learners to the psychological aspects of consumer personality and why consumers generally buy those products/brands whose 'brand personality' matches their own. Psychological research has shown that a consumer's decision about whether or not to buy a particular brand as well as the timing and place of purchase, the amount purchased, its usage and disposal, are all based on the consumer's personality. Because of this it is of great importance that marketers understand the psychological aspects of consumer personality so that they can devise appropriate marketing strategies to introduce the right product/brand to the right consumer. The course first introduces you to the nature of personality in general and you will learn about the differences between personality types and personality traits. You will also review aspects of self-concept and self-image and see how these help shape each consumer's personality. Finally, the course introduces theories of personality developed by psychologists and you'll learn how marketers can adapt these theories during the design, development and implementation of marketing strategies. This free online course will be of great interest to all marketing professionals who would like to learn more about consumer personality and why understanding this aspect of consumer behavior will help marketers design more effective and efficient marketing strategies. <br />

The free online course Applied Psychology - Understanding Consumer Attitudes introduces learners to the importance of understanding consumer attitudes for creating effective marketing strategies. For a marketer, consumer attitudes reflect a consistent favorable or unfavorable feeling that a consumer has after evaluating a product/service offering, brand, price etc. By understanding the dynamics behind consumer attitudes marketers can design marketing strategies that positively influence consumers towards the product/service offering, brand, price etc. The course starts by introducing you to the nature and functions of attitudes in general and how researchers have described four structural models of attitudes. Attitudes cannot be directly measured so the course then describes the techniques and procedures of accurately measuring consumer attitudes using qualitative and quantitative methods. You will then learn how attitudes are formed and what factors influence attitudes enough to change them. You will learn about the two main theories that have been developed to explain how and why attitudes change, and you will learn how marketers can use this information to design marketing strategies that positively influence consumers' attitudes. This course will be of great interest to all marketing and business professionals working in marketing, and all learners who are interested in a career in the area of marketing.<br />