Data Analysis and Statistical Packages (ΣΕΕ5)
Από Wiki Τμήματος Μαθηματικών
Αναθεώρηση ως προς 16:39, 15 Ιουνίου 2023 από τον Mathwikiadmin (συζήτηση | συνεισφορές)
- Ελληνική Έκδοση
- Graduate Courses Outlines
- Outline Modification (available only for faculty members)
- Department of Mathematics
- Save as PDF or Print (to save as PDF, pick the corresponding option from the list of printers, located in the window which will popup)
General
School | School of Science |
---|---|
Academic Unit | Department of Mathematics |
Level of Studies | Graduate |
Course Code | ΣΣΕ5 |
Semester | 2 |
Course Title | Data Analysis and Statistical Packages |
Independent Teaching Activities | Lectures (Weekly Teaching Hours: 3, Credits: 7.5) |
Course Type | Specialised general knowledge |
Prerequisite Courses | - |
Language of Instruction and Examinations | Greek |
Is the Course Offered to Erasmus Students | Yes (in English, reading Course) |
Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
Learning outcomes |
The students should be able to understand which statistical method is appropriate for each problem under study and to confirm that the relative assumptions hold. Moreover, the student should be able to present and interpret the results of the above analysis. |
---|---|
General Competences |
|
Syllabus
Descriptive Statistics. Review of basic undergraduate concepts like t-test, Mann Whitney test etc. Multiple Regression and Diagnostics. One Way and Two Way Analysis of Variance. Introduction to Logistic Regression. Repeated Measures Analysis. Reliability and Factor Analysis. Introduction to Survival Analysis: Roc curves, Cox PH Regression Model.
Teaching and Learning Methods - Evaluation
Delivery | Classroom (face-to-face) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Use of Information and Communications Technology | Use of ICT in communication with students | ||||||||||
Teaching Methods |
| ||||||||||
Student Performance Evaluation |
Final written exam in Greek (in case of Erasmus students in English) which includes analysis of real data sets. |
Attached Bibliography
- Barnett, V. and Lewis, T. (1978). Outliers in statistical data. Wiley, New York.
- Belsley, David A, Kuh, Edwin and Welsch, Roy E. (1980). Regression diagnostics: identifying influential data and sources of collinearity. Wiley Series in Probability and Mathematical Statistics. John Wiley & Sons.
- Samprit Chatterjee, Ali S. Hadi (2012). Regression analysis by examples. John Wiley & Sons, Inc.
- Coakes, S. and Steed, L ( 1999). S.P.S.S. Analysis without Anguish. Wiley.
- Field, A. P. (2005). Discovering statistics using S.P.S.S. (Second Edition). London: Sage.
- Landau, S. and Everitt (2004). A Handbook of Statistical Analyses using S.P.S.S.. Chapman and Hall.
- Neter, J., Kutner, M., Nachtsheim, C. and Wassserman, W. (1996). Applied linear statistical models. 4th Edition, Irwin, Inc.
- Rawlings, J. O. (1988). Applied regression analysis: a research tool. Wadsworth & Brooks/Cole Advanced Books & Software, Pacific Grove, CA.
- Rencher, A. C. (2000). Linear Models in Statistics. Wiley.
- Searle, S. R. (1971). Linear models. John Wiley & Sons, Inc.
- Seber, G. A. F. (1977). Linear regression analysis. John Wiley & Sons.