CALCULUS
Instructional goals
The course aims to provide first-year economics students with the main mathematical tools that are used to analyse and solve a wide range of problems in economics, business, finance and insurance. This will be their first step towards achieving a broad training in quantitative disciplines, as well as a good methodological training for the analysis and critical interpretation of economic and business dynamics. This will allow them to acquire the useful tools for the formulation, implementation and control of decisions in the work contexts in which they will operate.
Intended learning outcomes
Knowledge and understanding:
By the end of the course, students will have acquired a wide range of mathematical tools and will be able to understand and solve numerous theoretical and applied problems in economics, business and finance.
Ability to apply knowledge and understanding:
By the end of the course, students will be able to apply quantitative tools to business decisions, to the analysis of economic phenomena and to the resolution of economic and business problems in the work contexts in which they will operate.
Autonomy of judgment:
By the end of the course, students will be able to develop a critical capacity in identifying the most suitable solution to the proposed problem, even in highly innovative contexts.
Communication skills:
By the end of the course, students will be able to develop both written and oral communication skills and to highlight the relationships between the theoretical concepts and the most important economic and managerial applications.
Learning ability:
By the end of the course, students will be able to stay up to date and improve their skills in examining the quantitative aspects of economics and management.
Course Contents
The mathematical analysis for functions of a single variable allows the students to introduce the fundamental mathematical tools (limits, derivatives, integrals) for the definition and study of the mathematical models in economics.
The functions of several variables make it possible to develop models that are closer to real life economics. To this end, the tools already introduced for the functions of single variable are suitably adapted to the new context.
The study of the matrices and the linear systems allows the design of models capable of including large amounts of data.
The explanation is accompanied by economic examples to illustrate the importance, in real life’s settings, of the tools acquired tools in during the course.
Reference Books
Stefan Waner, Steven R Costenoble, Finite Mathematics and Applied Calculus, 7th edition, Cengage.
Teaching Methods
The teaching activity will consist of:
- in presence and online teaching;
- in presence and online exercises;
- A weekly interactive online appointment on the applications of mathematics in economics;
- material for in-depth study of the topics available on the learn.luiss.it page of the course.
The teacher and the teaching assistant will set up weekly office hours to help students.
Assessment Method
Student assessment will take into account individual performance, participation in activities, and involvement in workgroups. Specifically, for first-year students with consistent class attendance, grading criteria are as follows:
Three midterms during the course, each weighted at 20%. Each midterm includes multiple choice and written exercises questions, with point values corresponding to difficulty. The tests are graded on a 0-30 scale, with a passing grade set at 18 or higher for each test
Final exam 20 %, covering the whole course, including the economic applications of mathematics.
Group activities focusing on the economic applications of mathematics 15%
Participation 5%.
In the December 2023 session, students can retake the individual midterms along with the final exam.
In the May and September 2024 sessions, there will be a two-part exam: the final exam (worth 20%) and an exam covering all three midterms (worth 60%).
For the students who did not participate in group activities and/or were absent from class, the final exam will account for the remaining percentage required to achieve a total score of 100%.
Thesis assignment criteria
Interview with the teacher after the exam.
Week 1 Contenuto sessioni on line e on campus
Systems of Linear Equations and Matrices – Chapter 4 of the textbook.
Systems of Two Equations in Two Unknowns. Using Matrices to Solve Systems of Equations. Applications of Systems of Linear Equations.
Week 2 Contenuto sessioni on line e on campus
Matrix Algebra and Applications – Chapter 5.
Matrix Addition and Scalar Multiplication. Matrix Multiplication.
Week 3 Contenuto sessioni on line e on campus
Matrix Algebra and Applications – Chapter 5.
Matrix Inversion. Input-Output Models.
Linear Programming – Chapter 6.
Graphing Linear Inequalities. Solving Linear Programming Problems Graphically. The Simplex Method: Solving Standard Maximization Problems.
Week 4 Contenuto sessioni on line e on campus
Functions and Applications – Chapter 1.
Functions from the Numerical, Algebraic, and Graphical Viewpoints. Functions and Models. Linear Functions and Models.
Nonlinear Functions and Models -- Chapter 2.
Quadratic Functions and Models. Exponential Functions and Models. Logarithmic Functions and Models.
Week 5 Contenuto sessioni on line e on campus
Introduction to the Derivative – Chapter 10.
Limits: Numerical and Graphical Viewpoints Limits and Continuity. Graphical and Algebraic Viewpoints. Average Rate of Change.
Week 6 Contenuto sessioni on line e on campus
The Derivative – Chapter 10. Numerical and Graphical Viewpoints. Algebraic Viewpoint.
Techniques of Differentiation with Applications – Chapter 11
Week 7 Contenuto sessioni on line e on campus
Derivatives of Powers, Sums, and Constant Multiples, A First Application: Marginal Analysis.The Product and Quotient Rules. The Chain Rule. Derivatives of Logarithmic and Exponential Functions. Derivatives of
Week 8 Contenuto sessioni on line e on campus
Further Applications of the Derivative -- Chapter 12.
Maxima and Minima and their Applications. Higher Order Derivatives: Acceleration and Concavity. Analysing Graphs. Elasticity
Week 9 Contenuto sessioni on line e on campus
The Integral – Chapter 13.
The Indefinite Integral. Substitution. The Definite Integral: Numerical and Graphical Viewpoints. The Definite Integral: Algebraic Viewpoint and the Fundamental Theorem of Calculus.
Week 10 Contenuto sessioni on line e on campus
Further Integration Techniques and Applications of the Integral -- Chapter 14.
Integration by Parts. Area between Two Curves and Applications. Applications to Business and Economics: Consumers' and Producers' Surplus and Continuous Income Streams.
Week 11 Contenuto sessioni on line e on campus
Functions of Several Variables – Chapter 15.
Functions of Several Variables from the Numerical, Algebraic, and Graphical Viewpoints. Partial Derivatives. Implicit Differentiation (Ch.11).
Week 12 Contenuto sessioni on line e on campus
Functions of Several Variables – Chapter 15.
Maxima and Minima. Constrained Maxima and Minima and Applications.