Course Unit Page
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Teacher Marco Lenci
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Learning modules Marco Lenci (Modulo 1)
Marco Lenci (Modulo 2)
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Credits 8
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SSD MAT/05
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Teaching Mode Traditional lectures (Modulo 1)
Traditional lectures (Modulo 2)
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Language English
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Campus of Bologna
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Degree Programme First cycle degree programme (L) in Genomics (cod. 9211)
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Course Timetable from Oct 17, 2022 to Dec 02, 2022
Course Timetable from Dec 13, 2022 to Feb 03, 2023
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.
Academic Year 2022/2023
Learning outcomes
By the end of the course, the successful student has the ability to apply the methods of differential and integral calculus, to plot the graph of functions, and to find and classify critical points of functions of two variables.
Course contents
Real-valued functions of a real variable. Limits and continuity. Derivative and related applications. Relative and absolute maxima and minima. Quantitative study of the graph of a function. Integrals. Elements of multivariable calculus: vector-valued functions of a real variable. Real-valued functions of a vector (or of many variables). If time permits: elementary differential equations.
Readings/Bibliography
J. Stewart, D. K. Clegg, S. Watson, Calculus, Cengage Learning; 9th edition
Prof. Fioresi's textbook (in Italian): Metodi matematici per le scienze applicate
Teaching methods
Lectures
Assessment methods
2-3 hour written exam, with voluntary oral exam. The grade obtained in this module (in the scale 18-32) will concur to a weighted average with the grade obtained in the linear algebra module (the two weights are, respectively, 8/14 and 6/14). If the weighted average is bigger than 30.85, the final grade for the “integrated course” MATHEMATICS (I.C.) will be “30 cum laude”. If not, the final grade will be the weighted average (rounded to the nearest integer not exceeding 30).
Teaching tools
Text notes and exercises published on virtuale.unibo.it
Office hours
See the website of Marco Lenci
Alumni