MAT231 Mathematics for Statistics - I

6 ECTS - 4-0 Duration (T+A)- 3. Semester- 4 National Credit

Information

Code MAT231
Name Mathematics for Statistics - I
Term 2024-2025 Academic Year
Semester 3. 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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. DENİZ ÜNAL ÖZPALAMUTCU
Course Instructor Prof. Dr. SELAHATTİN KAÇIRANLAR (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this lesson is to comprehend the subjects of polar coordinates, axes, translation, rotation, cones, circle, ellipse, hyperbola, the common definition of conics, parabola, Real quadratic (second order) Forms, Quadratic surfaces , Functions of several variables, differentials, chain rule, implicit differentiation, extrema of functions of two variables, lagrange multipliers, exact differentials, gradient and directional derivatives, Jacobien matrix, double integrals.

Course Content

The subjects of polar coordinates, axes, translation, rotation, cones, circle, ellipse, hyperbola, the common definition of conics, parabola, real quadratic (second order) forms, quadratic surfaces , functions of several variables, differentials, chain rule, implicit differentiation, extrema of functions of two variables, Lagrange multipliers, exact differentials, gradient and directional derivatives, Jacobien matrix, double Integrals are the contents of this lesson.

Course Precondition

None

Resources

Analitik Geometri- Mustafa Balcı Genel Matematik-Mustafa Balcı Calculus-Thomas

Notes

Analitik Geometri- Arif Sabuncuoğlu Calculus-Thomas


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Classify the surface of conic, circle, ellipse, hyperbola, parabola.
LO02 Specify the quadratic surfaces.
LO03 Have the ability to carry out analytical thinking and problem solving.
LO04 Use information technology for solving problems.
LO05 Understand and apply application of mathematics in real life.
LO06 Know application of derivative and apply it.
LO07 Perform and solve limits and derivatives.
LO08 Know and apply the basic functions.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Statistics
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 4
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization
PLO07 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods
PLO08 Bilgi - Kuramsal, Olgusal Make statistical inference (estimation, hypothesis tests etc.)
PLO09 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques and gain insight
PLO10 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programs
PLO11 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 2
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually 4
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği 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 4
PLO15 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1 Basic terms and definations in analytic geometry literature review Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
2 Polar coordinates, axes, translation, rotation literature review Öğretim Yöntemleri:
Anlatım, Problem Çözme
3 Cones, circle literature review Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
4 Ellipse, Hyperbola literature review Öğretim Yöntemleri:
Anlatım, Problem Çözme
5 The common definition of conics, parabola literature review Öğretim Yöntemleri:
Problem Çözme
6 Real quadratic (second order) Forms literature review Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
7 Quadratic surfaces and determination of these surfaces literature review Ölçme Yöntemleri:
Yazılı Sınav
8 Mid-Term Exam literature review Öğretim Yöntemleri:
Anlatım
9 Functions of several variables literature review Öğretim Yöntemleri:
Anlatım
10 Differentials, chain rule, implicit differentiation literature review Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
11 Extrema of functions of two variables literature review Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
12 Lagrange Multipliers literature review Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
13 Exact differentials, gradient and directional derivatives literature review Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
14 Jacobien Matrix literature review Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
15 Double Integrals literature review Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
16 Term Exams literature review Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams literature review Ölçme Yöntemleri:
Yazılı Sınav


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: 17.09.2024 03:52