COURSE UNIT TITLE

: STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 1302 STATISTICS COMPULSORY 2 0 0 3

Offered By

Faculty of Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÖZGÜL VUPA ÇILENGIROĞLU

Offered to

Metallurgical and Materials Engineering

Course Objective

To introduce; fundamental elements of Statistics and probability, graphical and numerical methods for describing data sets, how to define discrete and continuous random variables, discrete and continuous probability models, sampling distributions.

Learning Outcomes of the Course Unit

1   Describing fundamental elements of Statistics
2   Distinguishing types of data
3   Calculating the measures which are used for describing data
4   Describing the fundamental elements of Probability
5   Calculating probabilities
6   Describing discrete and continuous random variables
7   Describing some special discrete and continuous distributions
8   Using sampling distributions

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 Elements of Statistics
2 Types of Data, Collecting Data
3 Describing Qualitative Data, Graphical Methods for Describing Quantitative Data
4 Numerical Measures for Central Tendency and Variability
5 Fundamental Elements of Probability
6 Discrete Random Variables, Probability Distributions
7 Continuous Random Variables, Probability Density Functions
8 Midterm exam
9 Special Discrete Distributions (Bernoulli, Binomial)
10 Special Discrete Distributions (Hypergeometric, and Poisson)
11 Special Continuous Distributions (Uniform, Normal)
12 Special Continuous Distributions (Standard Normal, Exponential) Using a Normal Distribution to Approximate Binomial Probabilities
13 Sampling Distributions and The Central Limit Theorem
14 Review before Final exam

Recomended or Required Reading

Textbook(s): J.T. McClave and T. Sincich, Statistics, 12th Edition, Prentice-Hall.

Planned Learning Activities and Teaching Methods

Lecture, homework and problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.40 + ASG * 0.10 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.10 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homework

Language of Instruction

English

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)

DEÜ, Department of Statistics
e-mail: ozgul.vupa@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparations before/after weekly lectures 13 1 13
Preparation for midterm exam 1 10 10
Preparation for final exam 1 20 20
Preparing assignments 1 2 2
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 75

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.155433
LO.255433
LO.355433
LO.455433
LO.555433
LO.655433
LO.755433
LO.855433

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

Copyright 2015 DEÜ. BİD

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