Mathematics

Multivariable Analysis I(MAT201)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT201 Multivariable Analysis I 3 5 0 0 5 7
Prerequisites
Admission Requirements
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Ayberk ZEYTİN azeytin@gsu.edu.tr (Email)
Assistant
Objective Master the notion of convergence of sequences and series (both for those of numbers and functions).
Content Convergence of sequences and series (both for those of numbers and functions).
Course Learning Outcomes 1.Treatment of convergence of sequences of numbers.

2.Treatment of convergence of series of numbers.

3.Right treatment of integration and differentiation of series of functions.

4. Preparation for the study of differential equations, complex analysis and functional analysis.
Teaching and Learning Methods Lectures, exercises, discussions and working groups.
References Analyse, François Cottet-Emard, de Boeck.

Principes d’Analyse Mathématique, W. Rudin, Ediscience.
Print the course contents
Theory Topics
Week Weekly Contents
1 Series of numbers. Criterion by Cauchy on the convergence. Absolute convergence.
2 Series with positive terms. Comparison theorems. Riemann series.
3 Criteria for convergence: by Cauchy and d`Alembert.
4 Criteria for convergence: by Abel
5 Alternative series.
6 Mid-term examination.
7 Series of functions. Point-wise convergence
8 Uniform convergence of a series of functions.
9 Theorem on the double limit, Theorems on continuity, differentiability and integration.
10 Uniform convergence of series of functions.
11 Stone-Weierstrass theorem.
12 Power series.
13 Power series and their applications to some differential equations.
14 Fourier series. Trigonometric polynomials. Fourier coefficients.
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 2 50
Contribution of final exam to overall grade 1 50
Toplam 3 100
In-Term Studies
  Number Contribution
Assignments 1 20
Presentation 0 0
Midterm Examinations (including preparation) 1 20
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 1 10
Toplam 3 50
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 6 84
Working Hours out of Class 14 3 42
Assignments 1 1 1
Presentation 1 8 8
Midterm Examinations (including preparation) 1 8 8
Project 1 8 8
Final Examinations (including preparation) 1 3 3
Total Workload 154
Total Workload / 25 6,16
Credits ECTS 6
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