Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
IST 3132	SPECIAL TOPICS IN REGRESSION ANALYSIS	ELECTIVE	3	0	0	5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR NESLIHAN DEMIREL

Offered to

Statistics
Statistics(Evening)

Course Objective

This lecture aims to gain sufficient knowledge on the special topics in regression analysis and to use statistical software package.

Learning Outcomes of the Course Unit

1	Apply methods of selection of regressors (Stepwise regression, forward selection, backward elimination and all best subsets) using by statistical package.
2	Interpret the residual analysis plots of the multiple linear regression model.
3	Make transformation on the dependent variable.
4	Obtain a model with nonlinear terms (polynomial and trigonometric) in the regression analysis.
5	Apply logistic regression analysis.
6	Apply nonparametric regression analysis.
7	Prepare the project about special topics in regression analysis.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Review for Simle and Multiple Linear Regression.
2	Selection of Regressors using by statistical package: Stepwise Regression, Forward Selection, Backward Elimination and All Possible Best Subset.
3	Diagnostic of Influential Observations.
4	Residual Analysis Plots.
5	Transformations in Multiple Regression.
6	Box-Cox Transformation.
7	Polynomial and Trigonometric Terms.
8	Midterm exam.
9	Nonparamteric Regression.
10	Logistics Regression.
11	Project Presentation.
12	Project Presentation.
13	Project Presentation.
14	Project Presentation.

Recomended or Required Reading

Textbook(s):
D. Birkes and Y. Dodge, Alternative Methods of Regression, John Wiley & Sons, 1993.
Supplementary Book(s):
1. P.R. Thomas, Modern Regression Methods, Wiley Series, 1996.
2. J.Neter, M.H Kutner, C.J. Nachttsheim, and W. Wasserman, Applied Linear Statistical Models, Irwin, USA, 1996.

Planned Learning Activities and Teaching Methods

Lecture, class discussion, homeworks, project.

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	ASG	ASSIGNMENT
3	FIN	FINAL EXAM
4	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.25 + ASG * 0.35 + FIN * 0.40
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.25 + ASG * 0.35 + RST * 0.40

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homworks.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen.

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
Yrd. Doç. Dr. Neslihan DEMIREL
e-posta:Neslihan.ortabas@deu.edu.tr
Tel: 0232 301 85 73

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	13	3	39
Preparations before/after weekly lectures	12	1	12
Preparation for midterm exam	1	10	10
Preparation for final exam	1	20	20
Preparing assignments	3	10	30
Final	1	2	2
Midterm	1	2	2
TOTAL WORKLOAD (hours)			115

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.3	PO.5	PO.6	PO.11
LO.1	5	4	3	5	2	4
LO.2	5	4	3	5	2	4
LO.3	5	4	3	5	2	4
LO.4	5	4	3	5	2	4
LO.5	5	4	3	5	2	4
LO.6	5	4	3	5	2	4
LO.7	5	4	3	5	2	4

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION