Mathematics

Single Variable Analysis II(MAT102)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT102 Single Variable Analysis II 2 5 0 0 5 7
Prerequisites
Admission Requirements
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Begüm Gülşah ÇAKTI (Email) Gönenç ONAY gonay@gsu.edu.tr (Email)
Assistant
Objective Establish the fundamental concepts of real analysis with appropriate mathematical precision and learn the methods and knowledge necessary for continuing mathematics education
Content Derivatives, Integrals, Known Functions, Parametric Curves (if time permits)
Course Learning Outcomes The student is expected to learn the main notions and the teorems (Intermediate Value Theorem, Differentiation, Mean Value Theorem, Rolle Theorem, Riemann integral, Improper integral). The student will be able make the applications and he/she will be able to draw the usual functions graphics
Teaching and Learning Methods Courses and the problem solving
References A First Course in Real Analysis, Sterling K.Berberian, Springer

Calculus, TÜBA yayınları

Mathématiques de 1er cycle, 1er année, Dixmier
Print the course contents
Theory Topics
Week Weekly Contents
1 Derivatites
2 Derivatives
3 Derivatability , l'Hopital Rule
4 Mean Value Theorem and Rolle Theorem
5 Applications of Derivative
6 Usual Functions
7 Introduction to Integration
8 Midterm Exam I
9 Primitives
10 Integral and Primitive, Riemannian Integration
11 Theorem Combining Derivative and Integral for Continuous Functions: Fundamental Theorem of Calculus
12 Improper Integral
13 Parametric Curves
14 Summary
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 4 60
Contribution of final exam to overall grade 1 40
Toplam 5 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 1 30
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 3 30
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 4 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 70 1 70
Working Hours out of Class 70 1 70
Assignments 0 0 0
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 3 3 9
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 169
Total Workload / 25 6.76
Credits ECTS 7
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