Mathematics

Series and Multivariable Functions(MAT201)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT201 Series and Multivariable Functions 3 3 2 0 5 8
Prerequisites
Admission Requirements
Language of Instruction
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Sylvain LAVAU sylvain.lavau@gmail.com (Email)
Assistant
Objective To teach the notion of convergence of sequences and series
To teach certain technics for testing their convergence
To enable participants to work with multivariable functions, their limits and derivatives
Content Convergence of series and power series
Convergence tests
Taylor Series
Multivariate functions and their graphs
Their limits
Notion of continuity for multivariate functions
Partial and directional derivatives of multivariate functions
Differentiability of multivariate functions
Course Learning Outcomes 1.Treatment of convergence of series
2.Treatment of convergence of power series
3. Computation of Taylor Series
4. Graphing multivariate functions
5. Notions of limit and continuity of multivariate functions
6. Notions of partial and directional derivatives of multivariate functions
7. Differentiability of multivariate functions
Teaching and Learning Methods Exercises, discussions and worksheets
References Analyse 2eme année, François Liret, Dominique Martinais
Analiz 1,2, Ali Nesin
Calculus, James Stewart
Print the course contents
Theory Topics
Week Weekly Contents
1 Series, Absolute convergence.
2 Series with positive terms. Comparison theorems. Riemann series.
3 Convergence tests: Cauchy, d'Alembert, Abel.
4 Alternating series
5 Power Series
6 Taylor Series
7 Midterm
8 Series of functions, pointwise and uniform convergence of series of functions.
9 Stone-Weierstrass theorem
10 Multivariate functions, their graphs
11 Limits of multivariate functions, continutiy
12 Partial derivatives, differentiability
13 Second derivatives, Schwarz theorem
14 Optimization of multivariate functions
Practice Topics
Week Weekly Contents
1 Review on functions with one variable, their limits, continuity, differentiability, integrals
2 Series, Absolute convergence.
3 Series with positive terms. Comparison theorems. Riemann series.
4 Convergence tests: Cauchy, d'Alembert, Abel.
5 Alternating series
6 Power Series
7 Taylor Series
8 Solution of midterm
9 Series of functions, pointwise and uniform convergence of series of functions.
10 Stone-Weierstrass theorem
11 Multivariate functions, their graphs
12 Limits of multivariate functions, continutiy
13 Partial derivatives, differentiability
14 Second derivatives, Schwarz theorem
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 11 60
Contribution of final exam to overall grade 1 40
Toplam 12 100
In-Term Studies
  Number Contribution
Assignments 10 30
Presentation 0 0
Midterm Examinations (including preparation) 1 30
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 11 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; X
2 can properly state and use concepts and results of major mathematical interest; X
3 masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools; X
4 is able to express one’s mathematical ideas in an organised way both in written and oral forms; X
5 understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...); X
6 has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; X
7 has a theoretical and practical knowledge in computer science well adapted for learning a programming language; X
8 has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions; X
9 has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; X
10 masters French language as well as other foreign languages, to a level sufficient to study or work abroad. X
Activities Number Period Total Workload
Class Hours 14 5 70
Working Hours out of Class 14 3 42
Assignments 10 5 50
Presentation 0 0 0
Midterm Examinations (including preparation) 1 10 10
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 10 10
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Total Workload 182
Total Workload / 25 7.28
Credits ECTS 7
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