CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Advanced Mathematics IST203 FALL 2+2 C 5
    Learning Outcomes
    1-Recognizes the Multi-variable functions.
    2-Have Basic Mathematics knowledge and culture.
    3-Have analytical thinking and evaluation ability.
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14456
    Classroom study (Pre-study, practice)14342
    Assignments2021020
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)3011515
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 5012525
    Other 0000
    Total Workload (hours)   158
    Total Workload (hours) / 30 (s)     5,27 ---- (5)
    ECTS Credit   5
  • Course Content
  • Week Topics Study Metarials
    1 Functions of several variables definition Lecture Note
    2 Limits and continuity for functions of several variables Lecture Note
    3 Applications of limits and continuity for functions of several variables Lecture Note
    4 Partial derivates of functions of several variables,differantiable functions 1 Lecture Note
    5 Partial derivates of functions of several variables,differantiable functions 2 Lecture Note
    6 The total differential and its applications Lecture Note
    7 Closed functions 1 Lecture Note
    8 Closed functions 2 Lecture Note
    9 Coordinate transformations and functional dependency Lecture Note
    10 Taylor`s formula for functions of several variables Lecture Note
    11 Extreme values for functions of several variables Lecture Note
    12 Vector analysis Lecture Note
    13 Vector analysis applications Lecture Note
    14 Monte carlo integration Lecture Note
    Prerequisites -
    Language of Instruction Turkish
    Responsible Dr. Öğr. Üyesi Tuba KOÇ
    Instructors -
    Assistants -
    Resources Hacısalihoğlu H. H., Balcı M. ve Gökdal F., 1988, Temel ve Genel Metematik, Özyeşim web ofset tesisleri
    Supplementary Book -Balcı M., 1997, Matematik Analiz, Cilt2, Balcı Yayınları. -Kaplan W., 1991, Advanced Calculus, Addison-Wesley Publishing, New York
    Goals Çok değişkenli fonksiyonlarda temel kavram ve yöntemleri vermektir
    Content Çok değişkenli fonksiyonlarda limit ve süreklilik, Toplam diferansiyel ve uygulamaları, Çok değişkenli fonksiyonlarda Taylor açılımı, Vektörel analiz
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 To have informations about conceptional, theoretical and applied statistics and and associates the concepts with each other. 2
    2 To collect, save and arrange the statistical data, builds the proper tables and graphics to summarize data 2
    3 To analyse the data, to able to determine suitable statistical method, to make more efficient inferences and forecasts for the future 3
    4 To design and analyse an experiment and interpreting the results 5
    5 To have the knowlegde about Mathematics and Economics 2
    6 To define statistics problems and develop suggestions by using statistical survey. -
    7 To use the profiency knowlegde on interdiscipliner studies 2
    8 To have the ability of planing, managing and reporting of a project 4
    9 To use computer softwares and programmes for statistics methods. 3
    10 To have the ability of analythical thinking -
    11 To have the individual study skills and be capable of independent decision-making 2
    12 To have the qualifications required for team work 3
    13 To follow developments in statistics field by using a foreign language and can be connected with their colleagues. -
    14 To have scientific and ethnical values in data collection and interpretation in statistics dicipline. 2
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