CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Linear Models İST302 SPRING 1+2 C 6
    Learning Outcomes
    1-Knows algebra knowledge based on linear models.
    2-Solves the systems of linear equations.
    3-Knows linear independence.
    4-Finds transformations and distributions of linear functions.
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14456
    Assignments2022040
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)3012020
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 5013030
    Other 0000
    Total Workload (hours)   188
    Total Workload (hours) / 30 (s)     6,27 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 General Information: Vector spaces, Linear transformation and Matrices- 1 K1) Lecture Note
    2 General Information: Vector spaces, Linear transformation and Matrices- 2 K1) Lecture Note
    3 Solutions of linear equations systems and generalized inversors K1) Lecture Note
    4 Generalized inversors K1) Lecture Note
    5 Distributions of Quadratic Forms of Normal Distributed Random Vectors K1) Lecture Note
    6 Introduction to Linear Models: Some Linear Model Examples K1) Lecture Note
    7 Parameter Estimation- 1 K1) Lecture Note
    8 Parameter Estimation -2 K1) Lecture Note
    9 Hypothesis Testing- 1 K1) Lecture Note
    10 Hypothesis Testing- 2 K1) Lecture Note
    11 Some Linear Model Applications K1) Lecture Note
    12 Linear mixed models-1 K1) Lecture Note
    13 Linear mixed models-2 K1) Lecture Note
    14 Linear mixed models-3 K1) Lecture Note
    Prerequisites -
    Language of Instruction Turkish
    Responsible Dr. Öğr. Üyesi Haydar KOÇ
    Instructors -
    Assistants -
    Resources K1) Lecture Note
    Supplementary Book YK1) Andre I. K. (2009). Linear Model Methodology, Chapman & Hall/CRC. YK2) Charles E.McCULLOCH, Shayle R.SEARLE. (2001). Generalized, Linear, and Mixed Models. The US. YK3) Rencher, A. C., Schaalje, G.B. (2008). Linear Models in Statistics,2008,Wiley Series in Probability and Statistics.
    Goals Understanding of basic operations and information about linear models.
    Content Central tendency measures, distribution measures, series, normal and standard normal distribution.
  • 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 -
    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 3
    5 To have the knowlegde about Mathematics and Economics -
    6 To define statistics problems and develop suggestions by using statistical survey. -
    7 To use the profiency knowlegde on interdiscipliner studies -
    8 To have the ability of planing, managing and reporting of a project -
    9 To use computer softwares and programmes for statistics methods. -
    10 To have the ability of analythical thinking 2
    11 To have the individual study skills and be capable of independent decision-making 3
    12 To have the qualifications required for team work 4
    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. -
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