• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MBA 2035 STATISTICS FOR BUSINESS AND MANAGEMENT COMPULSORY 3 0 0 6

Offered By

Maritime Business Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

INSTRUCTOR VOLKAN ÇETINKAYA

Offered to

Maritime Business Administration Maritime Business Administration

Course Objective

The objective of this course is to understand the fundamental concepts in statistics and to apply theory via MS Excel and SPSS.

Learning Outcomes of the Course Unit

1   To understand the use of real data sets 2   To analyse data 3   To understand the fundamental concepts in statistics 4   To understand the probability 5   To make data analysis 6   To enter and analyse data in MS Excel and SPSS

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to Statistics 2 Data sets 3 Measures of Center, Measures of Dispersion, 4 Measures of Center, Measures of Dispersion, 5 Probability 6 Probability Distributions 7 Midterm 8 Probability Distributions 9 Sampling and Estimation 10 Hypotheses tests 11 Regression Analysis 12 Time Series Forecasting 13 MS Excel and SPSS Application 14 Final Exam

Recomended or Required Reading

Levin, R. ve Rubin, D.S. Statistics for Management. Prentice Hall. Kemp, J., Goodwin E.M., Marine Statistics Theory and Practice Stanford Maritime Pub.

Planned Learning Activities and Teaching Methods

Presentation and Application

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MD Midterm 2 QUZ Quiz 3 PRT Participation 4 FN Final 5 BNS BNS MD * 0.30 + QUZ * 0.15 + PRT * 0.05 + FN * 0.50 6 BUT Bütünleme Notu 7 BBN Bütünleme Sonu Ba ary Notu MD * 0.30 + QUZ * 0.15 + PRT * 0.05 + BUT * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

volkan.cetinkaya@deu.edu.tr

Office Hours

Wednesday 10:30-12:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 12 5 60 Preparation for midterm exam 1 15 15 Preparation for final exam 1 20 20 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 138

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 5 5 3 3 5 5 3 5 3 5 5 3 5 LO.2 3 5 5 3 5 3 3 3 3 5 5 3 3 LO.3 3 5 5 5 3 5 5 3 5 5 3 5 5 LO.4 3 5 5 3 5 3 3 5 3 3 5 3 3 LO.5 5 5 3 3 5 5 3 5 5 5 5 3 3 LO.6 3 3 3 3 3 3 3 3 3 3 3 3 3