Mathematics: Integral Calculus and Applications
Develop advanced mathematical skills in calculus, algebra, and their applications through LSE's comprehensive course for quantitative careers.
Develop advanced mathematical skills in calculus, algebra, and their applications through LSE's comprehensive course for quantitative careers.
This advanced mathematics course from LSE focuses on essential mathematical concepts and their practical applications in economics and management. Students will master integral calculus, profit maximization, constrained optimization, matrix algebra, and financial modeling. The course emphasizes problem-solving skills and real-world applications, particularly in economics and related fields. As part of LSE's MicroBachelors program, it provides a strong foundation for further undergraduate studies or career advancement in quantitative fields.
4.6
(7 ratings)
Instructors:
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What you'll learn
Master integral calculus techniques and applications
Apply optimization methods to business problems
Solve complex linear equations using matrices and vectors
Analyze financial models using sequences and series
Implement mathematical solutions in economic contexts
Develop advanced problem-solving skills
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This comprehensive mathematics course covers advanced topics in calculus and algebra with a focus on practical applications. The curriculum includes integral calculus, profit maximization techniques, constrained optimization, matrix algebra, and financial modeling. Students develop problem-solving skills through real-world applications in economics and management. The course emphasizes both theoretical understanding and practical implementation, preparing students for further studies or careers in quantitative fields.
Integration
Module 1
Profit Maximisation
Module 2
Constrained Optimisation
Module 3
Matrices, Vectors, and Linear Equations
Module 4
Sequences, Series, and Financial Modelling
Module 5
Fee Structure
Instructor
8 Courses
Distinguished Mathematics Professor and Machine Learning Theory Expert
Martin Anthony serves as Professor of Mathematics and Director of the Data Science Institute at the London School of Economics and Political Science (LSE), where he has been a faculty member since 1990. Originally from Paisley, Scotland, his academic journey includes a BSc in Mathematics from the University of Glasgow (1988), a Ph.D. in Mathematics from the University of London (1991), and an MA in Higher and Professional Education from the Institute of Education (2002). His research focuses on the mathematical foundations of machine learning, data science, and Boolean functions, with recent work exploring algorithmic fairness and privacy in data science. His teaching excellence has been recognized with multiple awards, including the inaugural 2014 LSE Students' Union Teaching Excellence Award and LSE Education Excellence Awards in 2016 and 2017. Throughout his career at LSE, he has held several leadership positions, including Head of Department, Academic Governor, and Vice-Chair of the Academic Board. His contributions to mathematical education include authoring three research monographs and two successful undergraduate textbooks, establishing him as a leading figure in mathematical theory and education.
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4.6 course rating
7 ratings
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