14.01 Principles of Microeconomics is an introductory undergraduate course that teaches the fundamentals of microeconomics. This course introduces microeconomic concepts and analysis, supply and demand analysis, theories of the firm and individual behavior, competition and monopoly, and welfare economics. Students will also be introduced to the use of microeconomic applications to address problems in current economic policy throughout the semester.

Microeconomics is all about how individual actors make decisions. Learn how supply and demand determine prices, how companies think about competition. 

Course summary: basic economic concepts, supply and demand, production, cost, and PCM, imperfect competition, factor markets, market failure and the role of government.

Macroeconomics is about whole economies. What is GDP? Why does the economy boom and bust? How is the government involved? We hit the traditional topics from a college-level macroeconomics course.

Course summary: basic economic concepts, economic indicators and the business cycle, national income and price determination, financial sector, long-run consequences of stabilization policies, and open economy: international trade and finance.

Course Summary: Interest and debt, housing, inflation, taxes, accounting and financial statements, stocks and bonds, investment vehicles, insurance and retirement, money, banking, and central banks, options, swaps, futures, MBSs, CDOs, and other derivatives, and current economies.

Course Summary: human anatomy and physiology, advanced circulatory system physiology, circulatory system diseases, advanced respiratory system physiology, respiratory system diseases, advanced hematologic system physiology, hematologic system diseases, advanced endocrine system physiology, endocrine system diseases, advanced nervous system physiology, nervous system diseases, advanced gastrointestinal system physiology, gastrointestinal system diseases, advanced muscular-skeletal system physiology, muscular-skeletal system diseases, executive systems of the brain, mental health, infectious diseases, lab values and concentrations, and health care systems.

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.

This course provides practical instruction in the design and analysis of non-digital games. Students cover the texts, tools, references and historical context to analyze and compare game designs across a variety of genres, including sports, game shows , games of chance, card games, schoolyard games, board games, and role–playing games. In teams, students design, develop, and thoroughly test their original games to understand the interaction and evolution of game rules. Students taking the graduate version complete additional assignments.

This calculus course covers differentiation and integration of functions of one variable, and concludes with a brief discussion of infinite series. Calculus is fundamental to many scientific disciplines including physics, engineering, and economics. This course has been designed for independent study. It includes all of the materials you will need to understand the concepts covered in this subject. 

This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

Project-based programming resources offers students access to a variety of hands on programming projects. With these projects, students learn to code in different languages and develop their own applications. They also gain valuable experience in problem solving and critical thinking. These project based resources offer a great opportunity for students to gain real world experience in programming and application development. They can work on projects in a variety of topics such as web development and mobile app development.

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The collection of databases offer a wealth of free academic content on multiple topics, including, but not limited to computer science, physics, agriculture, history, and humanities. These databases are a great resource for students, researchers, and professionals alike. They offer access to resources that can be used for a variety of research, including primary source material, academic journals, and project-based learning.

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