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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ZEN 3012 STATISTIC ELECTIVE 2 0 0 3

Offered By

MENTALLY DISABLED CHILDREN TEACHER EDUCATION

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASISTANT PROFESSOR BURAK KARABEY

Offered to

MENTALLY DISABLED CHILDREN TEACHER EDUCATION MENTALLY DISABLED CHILDREN TEACHER EDUCATION

Course Objective

define the principal concepts about probability.

Learning Outcomes of the Course Unit

1   express the concept of probability and its features. 2   explain the concept of a random variable and the probability distributions. 3   calculate the expected value and the moments. 4   explain major distributions of random variables. 5   Define the discrete distributions and solve the problems about these distributions.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic concepts and properties of probability 2 Probabilities of special events 3 Random variable, probability function, probability density function 4 Distribution Function 5 Expected value and moments 6 Descrete uniform distribution, Bernoulli distribution 7 Binom Distribution - I 8 Midterm Exam 9 Binom Distribution - II 10 Hypergeometrical distribution 11 Poisson distribution 12 Continuous uniform distribution 13 Exponantial distrubition 14 Normal Distribution 15 Final Exam

Recomended or Required Reading

Lesson Notes

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FINS FINAL EXAM 3 FCGR FINAL COURSE GRADE (RESIT) 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

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 13 2 26 Preparation for midterm exam 1 5 5 Preparation for final exam 1 5 5 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 79

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