COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Mathematics for Statistics - II * MAT   232 4 4 4 6

Prerequisites and co-requisites Yok
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Assoc.Prof.Dr. Deniz ÜNAL ÖZPALAMUTCU
Instructors
Doç.Dr.DENİZ ÜNAL ÖZPALAMUTCU1. Öğretim Grup:A
Doç.Dr.DENİZ ÜNAL ÖZPALAMUTCU2. Öğretim Grup:A
 
Assistants
Goals
The center of mass and moments , integrals over a region of space, elliptic integrals, vector integral calculus, line integrals, divergence theorem, Greens theorem, differential equations, first-order differential equations, homogeneous differential equations, Exact differential equations, linear differential equations, Bernoulli differential equation
Content
The center of mass and moments , integrals over a region of space, elliptic integrals, vector integral calculus, line integrals, divergence theorem, Greens theorem, differential equations, first-order differential equations, homogeneous differential equations, Exact differential equations, linear differential equations, Bernoulli differential equation

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
X
2
Emphasize the importance of Statistics in life
X
3
Define basic principles and concepts in the field of Law and Economics
4
Produce numeric and statistical solutions in order to overcome the problems
X
5
Use proper methods and techniques to gather and/or to arrange the data
6
Utilize computer systems and softwares
7
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
8
Apply the statistical analyze methods
9
Make statistical inference(estimation, hypothesis tests etc.)
10
Generate solutions for the problems in other disciplines by using statistical techniques
X
11
Discover the visual, database and web programming techniques and posses the ability of writing programme
12
Construct a model and analyze it by using statistical packages
13
Distinguish the difference between the statistical methods
X
14
Be aware of the interaction between the disciplines related to statistics
X
15
Make oral and visual presentation for the results of statistical methods
X
16
Have capability on effective and productive work in a group and individually
X
17
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
X
18
Develop scientific and ethical values in the fields of statistics-and scientific data collection
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Center of mass and moment of inertia Lecturing, discussion
2 Integrals over a region in space Lecturing, discussion
3 Triple integrals in cylindrical and spherical coordinates. Lecturing, discussion
4 Elliptic integrals. Lecturing, discussion
5 Vector integral calculus. Lecturing, discussion
6 Line integral, Greens theorem in the plane. Lecturing, discussion
7 Divergence Theorem Lecturing, discussion
8 mid-term exam exam
9 Definitions of differential equations Lecturing, discussion
10 First-order differential equations. Lecturing, discussion
11 Homogeneous differential equations. Lecturing, discussion
12 Exact Differential equations Lecturing, discussion
13 Linear differential equations Lecturing, discussion
14 Bernoulli, Riccatti, Clairout differential equations Lecturing, discussion
15 High-order linear differential equations Lecturing, discussion
16-17 Final exam exam

Recommended or Required Reading
Textbook
Additional Resources