• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MDN 2215 STATISTICS COMPULSORY 3 0 0 5

Offered By

Mining Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MEHMET VOLKAN ÖZDOĞAN

Offered to

Mining Engineering Mining Engineering (Evening)

Course Objective

To teach the statistical concepts and estimations done by the analysis of data.

Learning Outcomes of the Course Unit

1   To determine the main population parameters by arranging data 2   To learn the calculation techniques of probability 3   To determine the differences between distribution types and to calculate the probability 4   To explain the concept of confidence interval and calculate the confidence limits of populations 5   To set up a hypotheses and to test of hypothesis 6   To analyse the relation variables

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Frequency distributions and Graphics 2 Measures of Central Tendency 3 Measures of the Central Extension 4 Probability theory 5 Permutation 6 Combination 7 Binom, Poisson and Hypergeometric distributions 8 Sampling Theory and Normal Distribution 9 Statistical expectation 10 Confidence Intervals 11 Confidence Intervals 12 Hypothesis Testing 13 Hypothesis Testing 14 Regression and Correlation

Recomended or Required Reading

1. Tekin, V. N., 2008, Istatistiğe Giriş, Seçkin Yayınları, 312 s. Supplementary Book(s): 1. Püskülcü, H. Ve Ikiz, F., 1989, Istatistiğe Giriş, Bilgehan Yayınevi, 333 s. 2. Anderson, T. W., and Sclove, S. L., 1978, An Introduction to the Statistical Analysis of Data, Hougton Mifflin Company, Boston

Planned Learning Activities and Teaching Methods

Lectures and examples in the class

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.50 + RST * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Course outcomes 1 and 4 will be checked by the Mid-term exam, Course outcomes 5 and 6 will be checked by the Final exam questions.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof.Dr.Ercüment YALÇIN E-mail: e.yalcin@deu.edu.tr Phone: +09 232 301 72 05

Office Hours

Wednesday, 8.30 11.00 am.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 2 28 Preparation for midterm exam 1 10 10 Preparation for final exam 1 15 15 Preparing assignments 7 3 21 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 120

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 LO.1 1 5 2 3 1 LO.2 3 3 2 LO.3 4 2 3 LO.4 1 4 1 2 LO.5 3 1 4 LO.6 4 2 4 3 5