COURSE UNIT TITLE

: EVALUATION OF EXPERIMENTAL DATA

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CIE 5082 EVALUATION OF EXPERIMENTAL DATA ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR HALIT YAZICI

Offered to

CONSTRUCTION MATERIALS
CONSTRUCTION MATERIALS
CONSTRUCTION MATERIALS

Course Objective

The main objective of this course is to evaluate the conformity of materials tests to current standards and to provide the interpretation and examination of the relations between the factors affecting the quality of the material, and economic designs with the help of statistical models.

Learning Outcomes of the Course Unit

1   to define factors affecting the strength and quality of construction materials
2   to define the concept of quality and its measures
3   to analyze and to evaluate the experimental data
4   to choose the appropriate statistical methods
5   to use quality control charts

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Material Quality and Quality Level
3 External Review and Evaluation
4 Fundamentals of Statistical Review
5 Frequency distribution
6 Probability Distribution Models
7 Regression Models
8 Regression Models
9 Sampling Theory
10 Sampling Distributions
11 Tests of Hypotheses
12 Confidence Limits and Confidence Intervals
13 Quality Control Charts
14 Homework Presentation

Recomended or Required Reading

Textbook(s): Walpole, R.E.&R.H. Myers, 1972, Probability and Statistics for Engineers and Scientists, Collier-Mac-Millan
Supplementary Book(s):
Gambhir, M. L. 1996, Concrete Technology , Tata Mc Graw-Hill Publishing Company Limited, New Delhi, 470pp.

Planned Learning Activities and Teaching Methods

Course book (given in the reference section.) and homework.

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 * 0.25 + ASG *0.25 +FIN *0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG *0.25 +RST *0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

LO1-5: All learning outcomes will be evaluated by midterm, final examination and homework reports.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

ertugrul.benzeden@deu.edu.tr

Office Hours

Will be announced by instructors after the completion of semester program.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparation for midterm exam 1 27 27
Preparing assignments 1 45 45
Preparations before/after weekly lectures 13 3 39
Preparation for final exam 1 45 45
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 202

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1
LO.23
LO.33
LO.43
LO.53

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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