At the end of this course, the students; 1) To be able to define basic concepts related to statistics
2) Be able to distinguish between data types 3) To be able to compute descriptive statistics used to summarize data set 4) To be able to define basic concepts about probability 5) To make basic probability calculations 6) To be able to calculate the probabilities by probability functions of discrete and continuous random variables 7) To be able to calculate mathematical Expected Value 8) To be able to obtain the moments of the random variable
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
No
COURSE DEFINITION
To introduce; fundemantal elements of Statistics and Probability, graphical and numerical methods for describing data sets, how to calculate probability, how to form probability distributions for both discrete and continuous random variables and how to calculate mathematical expectation.
COURSE CONTENTS
WEEK
TOPICS
1st Week
The Science of Statistics, Types of Statistical Applications, Fundemantal Elements of Statistics
2nd Week
Types of Data, Collecting Data
3rd Week
Describing Qualitative Data, Graphical Methods for Describing Quantitative Data
4th Week
Numerical Measures for Central Tendency
5th Week
Numerical Measures for Variability, Numerical measures for Relative Standing
6th Week
Combinatorial Methods
7th Week
Sample Spaces and Events, Unions and Intersections, Complementary Events, Additive Rule and Mutually Exclusive Events
8th Week
Midterm Exam
9th Week
The Probability of an Event, Some Rules of Probability, Conditional Probability,
10th Week
Independent Events and The Multiplicative Rule, Bayes Theore
11th Week
Discrete Random Variables, Probability Distributions
12th Week
Continuous Random Variables, Probability Density Functions
13th Week
The Expected Value of Random Variable
14th Week
Moments
RECOMENDED OR REQUIRED READING
Materials to be used for the course will be provided by the course the teachers.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Practice,Questions/Answers
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
30
Assignment
1
15
Quiz
1
20
Total(%)
65
Contribution of In-term Studies to Overall Grade(%)
65
Contribution of Final Examination to Overall Grade(%)
35
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
1,67
1,67
Preparation for Quiz
Individual or group work
14
3
42
Preparation for Final exam
1
50
50
Course hours
14
3
42
Preparation for Midterm exam
1
50
50
Laboratory (including preparation)
Final exam
1
1,67
1,67
Homework
2
50
100
Total Workload
287,34
Total Workload / 30
9,57
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
