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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS LGM 2003 STATISTICS FOR BUSINESS AND MANAGEMENT COMPULSORY 3 0 0 6

Offered By

Logistics Management

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

INSTRUCTOR VOLKAN ÇETINKAYA

Offered to

Logistics Management

Course Objective

To learn basic statistics concept and how statistics can be used in management by different applications and make data analyses via MS Excel and SPSS.

Learning Outcomes of the Course Unit

1   To know collecting and sampling data. 2   To learn probality statistical distrubitions. 3   To know how to make a hypothesis test. 4   To learn Basic Regression Analysis. 5   To forecast by Time Series Method. 6   To make data analysis 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 central tendency and dispersion 4 Measures of central tendency and dispersion 5 Probability 6 Probability Distributions 7 Mid-Term Exam 8 Probability Distributions 9 Sampling and Estimation 10 Hypotheses Tests 11 Regression 12 Time Series And Forecasting 13 MS Excel and SPSS Application 14 Final Exam

Recomended or Required Reading

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

Planned Learning Activities and Teaching Methods

Literature review, case studies, problem solving.

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

Oral and written competencies regarding the use of knowledge, abilities and skills in the field of Statistics in terms of research, investigation and evaluation will be evaluated.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

volkan.cetinkaya@deu.edu.tr

Office Hours

Wed. 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 3 3 3 3 3 3 3 LO.2 3 3 3 3 3 3 3 3 3 LO.3 3 3 3 3 3 3 3 3 3 3 LO.4 3 3 3 3 3 3 3 LO.5 3 3 3 3 3 3 3 3 3 3 3 LO.6 3 3 3 3 3 3 3 3 3 3 3 3 3