GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
INTRODUCTION TO STATISTICS AND PROBABILITY I/İST- 291
Course Title: INTRODUCTION TO STATISTICS AND PROBABILITY I
Credits 3 ECTS 5
Semester 3 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof.Dr. .Semra Erbaş
 -- WEB SITE(S) OF LECTURER(S)
  http:websitem.gazi.edu.tr/site/serbas
 -- EMAIL(S) OF LECTURER(S)
  serbas@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Student learns probability concept and probability computation.
Student learns probability distrubitions and examples of these distributions in daily life
Student learns how to plan and conduct a scientific research
Student learns what statistical methods are and how to use these methods
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Statistics,variable,scaling
2. Week  Data design ,table and graphical
3. Week  Measures of central tendency , mean,median,mode, Geometric and harmonik mean
4. Week  Measures of variability;range,interquality,variance and standart deviation ,coefficient of variation
5. Week  problem- solving
6. Week  Probability,conditional probability,statistical independents, Bayes' theorem
7. Week  Discrete random variables and probability distributions,expected value and variance
8. Week  Continuous random variables and probability distributions,expected value and variance, problem- solving
9. Week  Moments and some important inequality,Chebychev's theorem problem- solving
10. Week  Midterm
11. Week  Discrete random variables,Continuous uniform distribution ,Bernoulli,Binom,Çok terimli,Geometrik,Pascal,Hipergeometric ,Poisson distribution
12. Week  Continuous probability distribution,exponantial,normal,gamma,beta,cauchy,weibull, chi-square,student-t,F,Erlang distribution
13. Week  problem- solving
14. Week  discrete two variables probability distribution,joint probability distribution ,conditional and cumulative probability distribution
15. Week  continouos two variables probability distribution,joint probability distribution ,conditional and cumulative probability distribution
16. Week  Covariance and correlaton,problem- solving
 -- RECOMMENDED OR REQUIRED READING
  Oral Erbaş,S .Olasılık ve İstatistik.Gazi Kitabevi,2013
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Various statisticial tables and lecture book, lecture notes
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
1
5
 Exercises
4
5
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
10
3
30
 Practising Hours of Course Per Week
4
3
12
 Reading
0
0
0
 Searching in Internet and Library
2
2
4
 Designing and Applying Materials
1
2
2
 Preparing Reports
1
2
2
 Preparing Presentation
1
2
2
 Presentation
0
0
0
 Mid-Term and Studying for Mid-Term
3
7
21
 Final and Studying for Final
4
8
32
 Other
2
4
8
 TOTAL WORKLOAD: 
113
 TOTAL WORKLOAD / 25: 
4.52
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To train individuals who are contemporary, entrepreneur and have unique and aesthetic values, self-confidence and capable of independent decision-making.X
2To give good education in the program fields as algebra, geometry, applied mathematics, topology and analysis in order to be equipped with enough mathematics.X
3To teach mathematical thinking methods in order to improve the ability to express mathematics both orally and in writing.X
4To train individuals who are knowledgeable about the history of mathematics and the production of scientific knowledge and can follow developments in these disciplines.X
5To provide necessary equipments to take positions such areas as banking, finance, econometrics, and actuarial.X
6To acquire ability to solve problems encountered in real life by means of mathematical modeling using mathematical methods.X
7To provide ability to do necessary resource researches in the areas of mathematics and to use accessed information.X
8To give appropriate training in such areas as in computer programming and creating algorithms in order to take parts in developing IT sector.X
9To gain substructure to be able to study at graduate level.X
10To enable the student to gain the ability of relating mathematics with the other sciences.X