COURSE UNIT TITLE

: STATISTICS FOR BUSINESS AND MANAGEMENT

DEGREE PROGRAMMES

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 (English)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ABDULLAH AÇIK

Offered to

Maritime Business Administration (English)
Maritime Business Administration (Evening)

Course Objective

The aim of this course is to provide students with data collection, organization, analysis, inference and statistical thinking skills.

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 statistical softwares

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 and Data Analysis
2 Organization and Presentation of Data
3 Measures of Central Tendency and Dispersion -1
4 Measures of Central Tendency and Dispersion -2
5 Probability-1
6 Probability-2
7 Discrete Probability Distributions
8 ContinousProbability Distributions
9 Sampling and Estimation
10 Testing Hypothesis
11 Testing Hypothesis with Software Applications
12 Correlation Analysis
13 Regression Analysis
14 Causality and Estimation Analysis

Recomended or Required Reading

Newbold, P., Carlson W.L., Thorne B.M., Statistics for Business and Economics, Pearson.
McClave, J., Benson, P.G, Sincich, T., Statistics for Business and Economics, Pearson.
Goodwin E.M., Kemp, J. Marine Statistics Theory and Practice, Stanford Maritime.

Planned Learning Activities and Teaching Methods

Presentation and problem solving, computer application

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FINS FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.10 + FINS * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.10 + RST * 0.60


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 assessed

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

abdullah.acik@deu.edu.tr

Office Hours

Monday 15:00-16:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 5 70
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Preparing assignments 2 3 6
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 157

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.15533553535535
LO.23553533335533
LO.33555355355355
LO.43553533533533
LO.55533553555533
LO.63333333333333

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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