COURSE UNIT TITLE

: COMPUTATIONAL TOOLS FOR STATISTIS II

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ELECTIVE

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR ALPER VAHAPLAR

Offered to

Statistics(Evening)
Statistics

Course Objective

To make students to learn fundemantal elements of Statistics and probability, to describe data sets by graphical and numerical methods, to calculate probability, form probability distributions for both discrete and continuous random variables and to calculate mathematical expectation

Learning Outcomes of the Course Unit

1   Using Statistical Packages
2   Able to Discrete Probability Distributions Definition
3   Able to Continuous Probability Distributions Definition
4   Able to Sampling Distributions learning
5   Estimation with Confidence Intervals
6   Able to Tests of Hypothesis learning

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 SPSS
2 Introduction to Excel
3 The Binomial Distribution
4 The Hypergeometric Distribution
5 Macro Applications
6 The Poisson Distribution
7 Minitab and Excel Applications
8 Midterm Exam
9 Uniform, Exponential and Normal Distribution
10 Sampling Distributions
11 Estimation with Confidence Intervals
12 One Sample Tests of Hypothesis
13 Two Sample Tests of Hypothesis
14 Macro Applications

Recomended or Required Reading

Textbook(s):
R. Meyer and D. Krueger, A Minitab Guide to Statistics, Prentice Hall, 1998.
Supplementary Book(s):
1. J.T. McClave, T. Sincich, Statistics, 9th Ed., Prentice Hall, USA, 2003.

Planned Learning Activities and Teaching Methods

Lecture, presentation, homework assignments, 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 * 0.30 + ASG * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.30 + RST * 0.40


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

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homeworks.

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)

DEU Faculty of Scient Department of Statistics
e-mail: alper.vahaplar@deu.edu.tr
Tel: 0232 301 8555
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 7 1 7
Preparing assignments 1 18 18
Preparation for final exam 1 20 20
Project Assignment 1 2 2
Final 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.12PO.13PO.14
LO.155
LO.255
LO.355
LO.455
LO.555
LO.655