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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MEN 2036 MATHEMATICS IV COMPULSORY 4 0 0 4

Offered By

Marine Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ABDULLAH AÇIK

Offered to

Marine Engineering

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   Understanding methods of collecting and organizing data 2   Making inferences by interpreting the statistical properties of the data obtained 3   Reducing uncertainty in decision-making processes with probabilistic thinking methods 4   Testing hypotheses and making scientific inferences and estimations using data collected through sample

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 the 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 Continous Probability 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

Levin, R. I., Rubin, D. S., Siddiqui, M.H. and Rastogi, S. (2017) Statistics for Management (8th ed.). Pearson, India. Newbold, P., Carlson, W.L. and Thorne, B.M. (2013). Statistics for Businessand Economics(8th ed.). Pearson, UK.

Planned Learning Activities and Teaching Methods

Cooperative and active teaching and learning strategies

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FINS FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.40 + FINS * 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

Midterm, Final and Lecture Attendance

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Assoc. Prof. Dr. Abdullah AÇIK abdullah.acik@deu.edu.tr

Office Hours

Tuesday, 13.00 - 15.00.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 4 56 Preparation for midterm exam 1 6 6 Preparation for final exam 1 12 12 Preparations before/after weekly lectures 13 2 26 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 104

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 PO.14 PO.15 PO.16 PO.17 PO.18 PO.19 PO.20 LO.1 5 5 5 LO.2 5 5 LO.3 5 5 5 5 5 5 LO.4 5 5