PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
IENG 481	BUSINESS FORECASTING	3 + 0	7th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	Students right to use statistical techniques with the computer applications, forecasting ability, the ability to gain results by providing the correct interpretation and decision-making, is to receive a variety of short-and long-term business decisions.
Course Content	Forecasting methods and selection, implementation and findings interpretation by SPSS are the content of this course.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Knows basic statistical concepts
2	Comments descriptive statistics using characteristics of the data
3	Determines the most appropriate equation for time series prediction
4	Equation by making the appropriate transformations to the equation removes various negative influences
5	Estimates made for the error measures and comments
6	Using the prediction equation makes projection and decides

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12	PO 13
LO 001	3	3	4	4	4	5	5	2	2	2	3	3	3
LO 002	3	3	4	4	4	5	5	2	2	2	3	3	3
LO 003	5	5	3	3	3	4	4	4	3	3	3	3	3
LO 004	3	3	4	4	2	2	2	1	1	1	1	1	1
LO 005	2	2	2	3	3	3	3	4	4	4	1	1	1
LO 006	2	2	2	2	1	1	1	1	2	3	3	2	2
Sub Total	18	18	19	20	17	20	20	14	14	15	14	13	13
Contribution	3	3	3	3	3	3	3	2	2	3	2	2	2

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Assignments	4	6	24
Mid-terms	1	10	10
Final examination	1	14	14
Presentation / Seminar Preparation	1	14	14
Report / Project	1	26	26
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	1	HACER GÜNER GÖREN

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
IENG 481	BUSINESS FORECASTING	3 + 0	1	Turkish	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. HACER GÜNER GÖREN	hgoren@pau.edu.tr		MUH A0325	%70

Goals		Students right to use statistical techniques with the computer applications, forecasting ability, the ability to gain results by providing the correct interpretation and decision-making, is to receive a variety of short-and long-term business decisions.
Content		Forecasting methods and selection, implementation and findings interpretation by SPSS are the content of this course.

Topics

Weeks	Topics
1	Introduction
2	What is forecasting?
3	Basic forecasting tools
4	Time series
5	Exponential smoothing methods
6	Simple regression
7	Simple regression
8	Multiple regression
9	Mid term
10	Multiple regression
11	Long term forecasting
12	Applications of forecasting
13	Review
14	Presentations

Materials

Materials are not specified.

Resources

Resources	Resources Language
“Forecasting Methods and Applications”, Spyros Makridakis, Steven C. Wheelwright, Rob J. Hyndman, Wiley-India Edition, Delhi, 2012.	Türkçe
“Olasılık ve İstatistiğe Giriş”, Sheldon M. Ross., Çeviri Editörleri: Reşat Kasap, Salih Çelebioğlu, Nobel Akademik Yayıncılık, 2010.	Türkçe
“Kantitatif Tahmin Yöntemleri”, Çekerol G.S., Ulukan A., Nisan Kitabevi Seçkin Yayıncılık, 2012.	Türkçe

Course Assessment

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student