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Algebra & Algorithms

Дмитрий Ильинский and Alex Dainiak

Algebra is one of the definitive and oldest branches of mathematics, and design of computer algorithms is one of the youngest. Despite this generation gap, the two disciplines beautifully interweave. Firstly, modern computers would be somewhat useless if they were not able to carry out arithmetic and algebraic computations efficiently, so we need to think on dedicated, sometimes rather sophisticated algorithms for these operations. Secondly, algebraic structures and theorems can help develop algorithms for things having [at first glance] nothing to do with algebra, e.g. graph algorithms. One of the main goals of the offered course is thus providing the learners with the examples of the above mentioned situations. We believe the course to contain much material of interest to both CS and Math oriented students. The course is supported by programming assignments.

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Focuses on how Algebra can impact modern computer science, specifically algorithms

Taught by recognized Algebra and algorithm design experts: Dmitry Ilyinsky and Alex Dainiak

Includes programming assignments to provide hands-on experience

Designed for both Computer Science and Mathematics students

Provides a unique perspective on the relationship between Algebra and algorithms

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Reviews summary

Interesting algebra & algorithms

This course on Algebra and Algorithms has been well received by its learners. One reviewer commented that the materials were interesting.

The course has good materials.

"Хороший материал, было интересно"

Activities

Coming soon We're preparing activities for Algebra & Algorithms. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Algebra & Algorithms will develop knowledge and skills that may be useful to these careers:

Mathematician

Mathematicians research and develop new mathematical theories and applications. This course provides a strong foundation in algebra, which is essential for understanding the theoretical underpinnings of mathematics.

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Computer Scientist

Computer Scientists research and develop new computer technologies and applications. This course provides a foundation in algebra and algorithms, which are essential for understanding the theoretical underpinnings of computer science.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical techniques to solve complex problems in business and industry. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in operations research.

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Data Analyst

Data Analysts use mathematical and statistical techniques to analyze data and identify trends and patterns. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in data analysis.

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Financial Analyst

Financial Analysts use mathematical and statistical techniques to analyze financial data and make investment decisions. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in financial analysis.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze financial data and make investment decisions. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in quantitative finance.

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Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in actuarial science.

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Market Researcher

Market Researchers use mathematical and statistical techniques to collect, analyze, and interpret data about consumer behavior. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in market research.

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Business Analyst

Business Analysts use mathematical and statistical techniques to analyze business data and make recommendations for improvement. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in business analysis.

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Statistician

Statisticians use mathematical and statistical techniques to collect, analyze, and interpret data. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in statistics.

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Data Scientist

Data Scientists use mathematical and statistical techniques to extract knowledge from data. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in data science.

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Risk Manager

Risk Managers use mathematical and statistical techniques to assess and manage risk. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in risk management.

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Epidemiologist

Epidemiologists use mathematical and statistical techniques to study the causes and spread of disease. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in epidemiology.

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Biostatistician

Biostatisticians use mathematical and statistical techniques to analyze data in the field of biology. This course provides a strong foundation in algebra, which is essential for understanding the mathematical models used in biostatistics.

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Software Engineer

Software Engineers design, develop, test, and maintain computer software. This course provides a foundation in algebra and algorithms, which are essential for understanding the theoretical underpinnings of software design and development.

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Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Algebra & Algorithms.

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