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Course 2021-2022 a.y.

30543 - MATHEMATICAL ANALYSIS - MODULE 2

BAI
Department of Decision Sciences

Course taught in English


Go to class group/s: 27

BAI (7 credits - II sem. - OB  |  MAT/05)

Classes: 27 (II sem.)
Instructors:
Class 27: HUGO GEORGES VICTOR LAVENANT


Suggested background knowledge

To feel comfortable with this course students should be familiar with the content of the courses of "Mathematical Analysis 1" and "Algebra and Geometry" of the first semester of the BAI.


Mission & Content Summary
MISSION

The aim of this Course is to lead the students to acquire the strong methodological, theoretical and practical techniques of Mathematical Analysis necessary in a challenging degree in Mathematical and Computing Sciences. In continuity with the first module of Mathematical Analysis, the course covers fundamental notions of topology in metric spaces, and of differential and integral calculus for functions of several variables.

CONTENT SUMMARY

The course will cover the following elements: 

  • Elements of topology in the framework of normed and metric spaces. Convergence of sequences, continuity of functions.
  • Differentiability for functions of several variables. Continuity, differentiability, differential and Jacobian. Particular case of curves. 
  • Integral along a curve. Integral of a scalar field and of a vector function along a curve. Length. Path integral of a gradient. 
  • Integral of functions of several variables. Definition, Fubini's theorem and change of variables.

Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
  • know the fundamental notions and results presented in the course concerning the techniques used in Mathematical Analysis.
  • express these notions in a conceptually and formally correct way, using adequate definitions, theorems and proofs. 
  • understand the relevance of the mathematical language and the interplay between the abstract setting and a concrete mathematical problem.
APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
  • apply the mathematical knowledge to model problems. 
  • provide rigorous mathematical reasonings to solve exercicses.
  • using the methodological tools of Mathematical Analysis to dialog with other Sciences such as Physics and Economics. 

Teaching methods
  • Face-to-face lectures
  • Exercises (exercises, database, software etc.)
  • Individual assignments
  • Group assignments
DETAILS

Face-to-face lectures will have the role of presenting mathematical results, proofs and examples.

Exercise sessions are dedicated to the application of the main theoretical results obtained during lectures to problems and exercises of various nature.

Individual and/or group assignments have the precise aim of calling for an active involvement of students. 


Assessment methods
  Continuous assessment Partial exams General exam
  • Written individual exam (traditional/online)
  •   x x
  • Oral individual exam
  •     x
  • Individual assignment (report, exercise, presentation, project work etc.)
  • x    
  • Group assignment (report, exercise, presentation, project work etc.)
  • x    
    ATTENDING AND NOT ATTENDING STUDENTS

    Students will be evaluated on the basis of written and oral exams and continuous assignements.

    Some individual and/or assignement will be proposed during the course with the aim of stimulating partecipation and evaluating 

    -       the ability to think on complex problems

    -       the ability to write proofs.

    Both written and oral exams cover the whole syllabus of the course and contribute in a specific way to the assessment of the students’ acquired knowledge, in particular it has the aim of evaluating:

    -       the ability to articulate the knowledge of mathematical notions, definitions, theorems, and proofs in a conceptually and formally correct way    

    -       the ability to actively search for deductive ideas that are fit to prove possible links between the properties of mathematical objects

    -       the ability to apply mathematical notions to the solution of complex problems.

    The written exam can be split in two partial exams (March and May) or taken as a general exam (May, June, August/September, January/February).

    The oral exam can be taken after the written exam (in May after the second partial exam or after the general exam in May, June, August/September, January/February).

    The final grade will be made: 75% written exam and 25% oral exam. Assignements will result in bonus points. 

    We will take care to obtain final grades whose distribution follows the grade distribution that is recommended by Università Bocconi.


    Teaching materials
    ATTENDING AND NOT ATTENDING STUDENTS

    Self contained lecture notes will be distributed at the beginning of the course.

     

    For complements the students may use (but this their reading is not mandatory nor recommended):

     

    Baxandall, Peter R., and Hans Liebeck. Vector calculus.

    Oxford University Press, USA, 1986.
    ISBN: 978-0486466200

     

    Giaquinta, Mariano;  Modica, Giuseppe. Mathematical analysis. Linear and metric structures and continuity.

    Birkhäuser Boston, Inc., Boston, MA,  2007. xx+465 pp. 

    ISBN: 978-0-8176-4374-4; 0-8176-4374-5 

     

    Giaquinta, Mariano;  Modica, Giuseppe. Mathematical analysis. An introduction to functions of several variables.

    Birkhäuser Boston, Inc., Boston, MA,  2009. xii+348 pp. ISBN: 978-0-8176-4509-0

    Last change 10/12/2021 17:36