COURSE INFORMATION PACKAGE · LFR430

Research Methodology

Compulsory · French
ECTS
5
Local Credit
3
Theory + Practice + Lab
3 + 0 + 0
Course Level
Bachelor Degree
Prerequisites
-
Semester
8
On this page
Content Assessment System Relation of Proficiency ECTS
Course Instructor(s)
Marie Helene SAUNER LEROY
saunermarie@gmail.com

Content

Objective

This course aims to teach the fundamental concepts, principles and applications related with scintific research and methods used.

Course Content

1) Introduction, research project and steps of a research project, basics of sampling.
2) Statistical inference (Estimation of a mean and proportion)
3) Statistical inference (Estimation of a mean and proportion), determination of the sample size.
4) Hypothesis testing, hypothesis, determination of the significance level, type I and II errors, rules of decision.
5) Parametric hypothesis testing (Test of a mean or a proportion of a population).
6) Non-parametric hypothesis testing (Contingency tables, Test Chi-2 of independance, homogeneity and conformity).
7) Non-parametric hypothesis testing. (Test of Kolmogorov-Smirnov, Wilcoxon signed rank test, Mann-Whitney U test)
8) Regression analysis, scatter plots. Regression and correlation analysis and hypothesis.
9) Simple linear regression, computing coefficients using least squares method. Pearson’s coefficient of correlation, tests of regression end correlation coefficients.
10) Multiple regression analysis. Part and partial correlation coefficients.
11) Non-parametric correlation. (Spearman’s rank correlation, coefficient of Kendall-Tau).

Course Learning Outcomes

At the end of the course, the studient will be able to :
1. Carry out a scientific research project.
2. Define correctly the population, the sampling method and sample size for a research project.
3. Ascertain the appropriate method for data collection and data analysis.
4. Deduce the right and unbiased outcome as a result of a hypothesis testing.
5. Execute a parametric or non- parametric correlation analysis.

References

Daniel Wayne W. & Terrell James C., Business Statistics, 5. edition, Houghton Miflin, USA.
Newbold, Paul, Statistics for Business and Economics, Pearsons Education
Newbold, Paul, İşletme ve İktisat için İstatistik, Çeviren Ümit Şenesen, Literatür Yayıncılık
Orhunbilge, Prof. Dr. Neyran, Örnekleme Yöntemleri ve Hipotez Testleri, İ.Ü.İşletme Fak. Yayınları Avcıol Basım Yayın, 2. Baskı, İstanbul 2000.
Orhunbilge, Prof. Dr. Neyran, Uygulamalı Regresyon ve Korelasyon Analizi, 2. B., İ.Ü.İşletme Fak. Yayınları, İ.Ü. Basım ve Yayınevi Md., İstanbul 2002

Assessment System

Contribution to Overall Grade
Activities Number Contribution
Contribution of in-term studies to overall grade 1 30
Contribution of final exam to overall grade 2 70
Total 3 100
In-Term Studies
Activities Number Contribution
Assignments 0 0
Presentation 1 20
Midterm Examinations (including preparation) 1 30
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 1 50
Seminar 0 0
Other 0 0
Total 3 100

Relation of Proficiency

No Program Learning Outcomes Contribution
1 2 3 4 5
1 Acquire competence in written French C1 X
2 Acquisition of speaking proficiency in French at level C1 X
3 Being able to translate from French to Turkish at all levels of language. X
4 Being able to translate from Turkish to French at all levels of language. X
5 Being able to analyze texts of various kinds and levels. X
6 Being able to make cross-cultural studies. X
7 To teach French literature. X
8 Being able to descriptions of languages ​​starting with the contemporary linguistic theories. X
9 Being able to teach French as a foreign language. X
10 Having acquired the Spanish language and literature.

ECTS

Activities Number Period Total Workload
Class Hours 14 2 28
Working Hours out of Class 14 5 70
Midterm Examinations (including preparation) 1 10 10
Thesis/ Project 1 25 25
Total Workload 133
Total Workload / 25 5.32
Credits ECTS 5