MAT232 Mathematics for Statistics - II

6 ECTS - 4-0 Duration (T+A)- 4. Semester- 4 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code MAT232
Name Mathematics for Statistics - II
Term 2018-2019 Academic Year
Semester 4. Semester
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. DENİZ ÜNAL ÖZPALAMUTCU
Course Instructor Prof. Dr. DENİZ ÜNAL ÖZPALAMUTCU (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

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

Course 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

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Calculates the center of mass and moment of inertia
LO02 Defines the integral over a region
LO03 Solves triple integrals using cylindrical and spherical coordinates
LO04 Refers to the provided integral as an elliptic integral
LO05 Uses the concept of vector at the Integral calculations.
LO06 applies the Green theorem
LO07 Learns the Divergence Theorem
LO08 Recognizes the types of differential equations
LO09 Determines the type of a given differential equation
LO10 solves a given differential equation using the appropriate method


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 4
PLO02 - Emphasize the importance of Statistics in life 1
PLO03 - Define basic principles and concepts in the field of Law and Economics 0
PLO04 - Produce numeric and statistical solutions in order to overcome the problems 3
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 0
PLO06 - Utilize computer systems and softwares 0
PLO07 - Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 0
PLO08 - Apply the statistical analyze methods 0
PLO09 - Make statistical inference(estimation, hypothesis tests etc.) 0
PLO10 - Generate solutions for the problems in other disciplines by using statistical techniques 3
PLO11 - Discover the visual, database and web programming techniques and posses the ability of writing programme 0
PLO12 - Construct a model and analyze it by using statistical packages 0
PLO13 - Distinguish the difference between the statistical methods 2
PLO14 - Be aware of the interaction between the disciplines related to statistics 1
PLO15 - Make oral and visual presentation for the results of statistical methods 4
PLO16 - Have capability on effective and productive work in a group and individually 5
PLO17 - 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 5
PLO18 - Develop scientific and ethical values in the fields of statistics-and scientific data collection 4


Week Plan

Week Topic Preparation Methods
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 Term Exams exam
17 Term Exams exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 28 28
Total Workload (Hour) 152
Total Workload / 25 (h) 6,08
ECTS 6 ECTS

Update Time: 29.04.2025 02:17