COURSE UNIT TITLE

: STATISTICAL METHODS FOR OCCUPATIONAL HEALTH AND SAFETY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ISG 5005 STATISTICAL METHODS FOR OCCUPATIONAL HEALTH AND SAFETY ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ABDULLAH FIRAT ÖZDEMIR

Offered to

Ph.D. in Occupational Health and Safety
Occupational Healty and Safety(Non-Thesis-Evening)
Occupational Healty and Safety

Course Objective

Fundamental statistical concepts, descriptive and inferential methods will be taught in order to have students to learn collecting, analyzing and interpreting data regarding occupational health and safety.

Learning Outcomes of the Course Unit

1   Fundamental statistical concepts.
2   Numerical and graphical description of series.
3   Fundamental concepts in probability.
4   Computing probabilities concerning events.
5   The concept of random variable, discrete and continuous probability distributions.
6   Sampling distribution and central limit theorem.
7   Statistical inference with one, two and more samples.
8   The concept of statistical relation and modelling.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The science of statistics, fundamental concepts of statistics.
2 Types of data, data collecting methods, graphs used for qualitative and quantitative data.
3 Measures of central tendency and variation.
4 Combinatorics, combination, permutation.
5 Sample spaces and events, union and intersection of two events, complementary events, addition rule, mutually exclusive events.
6 Probability of an event, Probability rules, Conditional probability, Bayes Theorem.
7 Midterm exam.
8 Discrete random variables and discrete probability distributions.
9 Continuous random variables and continuous probability distributions.
10 Sampling distribution, central limit theorem.
11 Confidence interval and hypothesis testing for one population mean, proportion and variance.
12 Confidence interval and hypothesis testing for two population means, proportions and variances.
13 The concept of statistical relation and introduction to regression analysis.
14 Comparing more than two groups and introduction to ANOVA.

Recomended or Required Reading

Textbook: McClave J.T., Sincich T., Statistics, 11th edition, Prentice Hall, USA, 2008.
Supplementary Book: Ryan,B., Joiner, B.L. & Cryer, J.D., MINITAB Handbook, 5th edition, Brooks/Cole - Thomson Learning Inc, Duxbury, Canada, 2005

Planned Learning Activities and Teaching Methods

Presentations, problem solving and computer simulations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60


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

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluating written exams

Language of Instruction

Turkish

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)

Assoc.Dr.A. Fırat Özdemir
DEU Fen Fakültesi Istatistik Bölümü
e-mail: firat.ozdemir@deu.edu.tr
Tel: 0232 301 8552

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 12 5 60
Preparation for midterm exam 1 24 24
Preparation for final exam 1 40 40
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 164

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.15455545
LO.25545
LO.355455
LO.445554
LO.55545
LO.65454
LO.75
LO.8545455

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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