Mathematics

Single Variable Analysis I(MAT101)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT101 Single Variable Analysis I 1 3 2 0 5 8
Prerequisites
Admission Requirements
Language of Instruction
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Begüm Gülşah ÇAKTI (Email) Sylvain LAVAU sylvain.lavau@gmail.com (Email)
Assistant
Objective To build, with appropriate rigour, the foundations of calculus and along the way to develop the skills to enable us to continue studying mathematics
Content Course syllabus : Real Numbers, Sequences, Topology of R, Continuity, Limits
Course Learning Outcomes The student is expected to learn the main notions ( Real Numbers, Sequences, Topology of R, Continuity, Limits).
Teaching and Learning Methods Course and the problem solving
References - Analyse 1re année : Cours et exercices avec solution Liret, François, Dominique Martinais

- Maths en pratique - 1re édition - A l'usage des étudiants Liret, Françoise

- First Course in Real Analysis, Sterling K.Berberian, Springer

- Mathématiques : tout-en-un : 1re année : cours et exercices corrigés : MPSI-PCSI Mathématiques : tout-en-un : 1re année : cours et exercices corrigés : MPSI-PCSI
Print the course contents
Theory Topics
Week Weekly Contents
1 Set, maps and the language
2 Real Numbers
3 Real Numbers
4 Midterm 1
5 Sequences
6 Sequences
7 LImits and Continuity
8 Limits and Continuity
9 Limits and Continuity
10 Midterm 2
11 Derivation
12 Derivation
13 Parametric Curves
14 Parametric Curves
Practice Topics
Week Weekly Contents
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 3 60
Contribution of final exam to overall grade 1 40
Toplam 4 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 2 45
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 1 15
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 3 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 2 3 6
Presentation 4 6 24
Midterm Examinations (including preparation) 2 12 24
Final Examinations (including preparation) 1 15 15
Term Paper/ Project 1 3 3
Total Workload 184
Total Workload / 25 7.36
Credits ECTS 7
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