ISB251 Statistical Applications with Mathematica

3 ECTS - 2-0 Duration (T+A)- 3. Semester- 2 National Credit

Information

Code ISB251
Name Statistical Applications with Mathematica
Term 2024-2025 Academic Year
Semester 3. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜZİN YÜKSEL
Course Instructor
1 2
Prof. Dr. GÜZİN YÜKSEL (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this lecture is to introduce Mathematica Software program and to show how to to make applications of some basic lessons such as called Statistics, Calculus and differantial equations by using Mathematica for Statistics student.

Course Content

The scope is to do statistical analysis via Mathematica program.

Course Precondition

None

Resources

1. Enis Sınıksaran, Aylin Aktükün, Matematik ve İstatistik Uygulamalarıyla Mathematica, Türkmen Kitabevi,2009.

Notes

Enis Sınıksaran, Aylin Aktükün, Matematik ve İstatistik Uygulamalarıyla Mathematica, Türkmen Kitabevi,2009.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Validates a theorem using Mathematica.
LO02 Uses in Mathematica interactive graphical visualisations.
LO03 Computes in Mathematica using theoretical facts .
LO04 Uses Mathematica to write scientific papers or master, doctor thesis etc.
LO05 Uses the knowledge by using Mathematica documentation and other sources in the internet.
LO06 Orders the facts about some software programs which are often used in Statistics and Mathematics.
LO07 Simplifies the complex calculations by using software programs, to achieve results and to use of these.
LO08 Orders the main issues of calculations by using computer applications ant to make an introduction to the programming.


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 3
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 4
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 4
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 4
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually 2
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
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 An introduction the Mathematica software program Reading source books-Application Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama
2 Basic numerical calculations and some mathematical functions in Mathematica Reading source books-Application Öğretim Yöntemleri:
Alıştırma ve Uygulama
3 Defining variables and using the parenthesis Reading source books-Application Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama
4 Symbolic computation and numerical computation Reading source books-Application Öğretim Yöntemleri:
Alıştırma ve Uygulama
5 Defining functions and constants Reading source books-Application Öğretim Yöntemleri:
Alıştırma ve Uygulama
6 Solving Equations and linear equation systems Reading source books-Application Öğretim Yöntemleri:
Alıştırma ve Uygulama
7 Lists in Mathematica Reading source books-Application Öğretim Yöntemleri:
Alıştırma ve Uygulama
8 Mid-Term Exam Review the topics discussed in the lecture notes Ölçme Yöntemleri:
Yazılı Sınav
9 Lists in Mathematica II Reading source books-Application Öğretim Yöntemleri:
Alıştırma ve Uygulama
10 Basic plotting and defining plot options in Mathematica Reading source books-Application Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama
11 Differentiation , Integration and Limits Reading source books-Application Öğretim Yöntemleri:
Alıştırma ve Uygulama
12 Vectors , Matrices and Basic Matrix Operations in Mathematica Reading source books-Application Öğretim Yöntemleri:
Alıştırma ve Uygulama
13 Descriptive statistics Reading source books-Application Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama
14 Confidence intervals and hypothesis testing Reading source books-Application Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama
15 Loops Reading source books-Application Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams Review the topics discussed in the lecture notes Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review the topics discussed in the lecture notes Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 16 16
Total Workload (Hour) 78
Total Workload / 25 (h) 3,12
ECTS 3 ECTS

Update Time: 11.06.2024 01:47