Course Name  Introduction to Probability Theory II 
Code  Semester  Theory (hour/week)  Application/Lab (hour/week)  Local Credits  ECTS 

MATH 204  Spring  2  2  3  6 
Prerequisites 
 
Course Language  English  
Course Type  Required  
Course Level  First Cycle  
Mode of Delivery    
Teaching Methods and Techniques of the Course  
Course Coordinator    
Course Lecturer(s)  
Assistant(s) 
Course Objectives  This course aims to consider basic theory and applications of probability theory including jointly distributed and multivariate random variables, independent random variables and their sums, some special discrete and continuous distributions and copulas, covariance and correlation coefficient, order statistics, some special inequalities, the weak and strong law of large numbers, and central limit theorem. 
Learning Outcomes  The students who succeeded in this course;

Course Description  This course aims to provide basic theory and applications of Probability Theory. 
 Core Courses  X 
Major Area Courses  
Supportive Courses  
Media and Managment Skills Courses  
Transferable Skill Courses 
Week  Subjects  Required Materials 
1  Multivariate random variables and their joint distribution functions  Chapter 6 
2  Sum of two random variables and convolution formula  Chapter 6 
3  Independent random variables and sums of two random variables  Chapter 6 
4  Joint probability distribution of functions of random variables  Chapter 6 
5  Exchangeable random variables  Chapter 6 
6  Some special discrete distributions  Chapter 6 
7  Some special continuous distributions  Chapter 6 
8  Some copulas  Chapter 6 
9  Expectation of sums of random variables  Chapter 7 
10  Covariance and correlation coefficient  Chapter 7 
11  Conditional expectation  Chapter 7 
12  Order statistics  Chapter 6 
13  Chebyshev, Markov, and Pearson inequalities  Chapter 8 
14  Weak Law of Large Numbers, Strong Law of Large Numbers  Chapter 8 
15  Central Limit Theorem  Chapter 8 
16  Review of the semester 
Course Notes/Textbooks  “A First Course in Probabilty” by Sheldon Ross. 
Suggested Readings/Materials  “Probability and Statistics for Engineers and Scientists” by Ronald Walpole, Raymond Myers, Sharon Myer. 
Semester Activities  Number  Weigthing 
Participation  1  10 
Laboratory / Application  
Field Work  
Quizzes / Studio Critiques  3  15 
Portfolio  
Homework / Assignments  
Presentation / Jury  
Project  
Seminar / Workshop  
Oral Exam  
Midterm  1  35 
Final Exam  1  40 
Total 
Weighting of Semester Activities on the Final Grade  5  60 
Weighting of EndofSemester Activities on the Final Grade  1  40 
Total 
Semester Activities  Number  Duration (Hours)  Workload 

Course Hours (Including exam week: 16 x total hours)  16  4  64 
Laboratory / Application Hours (Including exam week: 16 x total hours)  16  
Study Hours Out of Class  15  4  
Field Work  
Quizzes / Studio Critiques  3  4  
Portfolio  
Homework / Assignments  
Presentation / Jury  
Project  
Seminar / Workshop  
Oral Exam  
Midterms  1  22  
Final Exams  1  25  
Total  183 
#  Program Competencies/Outcomes  * Contribution Level  
1  2  3  4  5  
1  To have a grasp of basic mathematics, applied mathematics and theories and applications of statistics.  X  
2  To be able to use theoretical and applied knowledge acquired in the advanced fields of mathematics and statistics,  X  
3  To be able to define and analyze problems and to find solutions based on scientific methods,  X  
4  To be able to apply mathematics and statistics in real life with interdisciplinary approach and to discover their potentials,  X  
5  To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,  X  
6  To be able to criticize and renew her/his own models and solutions,  X  
7  To be able to tell theoretical and technical information easily to both experts in detail and nonexperts in basic and comprehensible way,  X  
8  To be able to use international resources in English and in a second foreign language from the European Language Portfolio (at the level of B1) effectively and to keep knowledge uptodate, to communicate comfortably with colleagues from Turkey and other countries, to follow periodic literature,  X  
9  To be familiar with computer programs used in the fields of mathematics and statistics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,  X  
10  To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,  X  
11  To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,  X  
12  By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,  X  
13  To be able to continue lifelong learning by renewing the knowledge, the abilities and the compentencies which have been developed during the program, and being conscious about lifelong learning,  
14  To be able to adapt and transfer the knowledge gained in the areas of mathematics and statistics to the level of secondary school,  
15  To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. 
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest