BBT414 Applied Data Analysis

3 ECTS - 0-2 Duration (T+A)- 8. Semester- 1 National Credit

Information

Code BBT414
Name Applied Data Analysis
Term 2024-2025 Academic Year
Semester 8. Semester
Duration (T+A) 0-2 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 1 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. ALKHAN SARIYEV
Course Instructor
1 2
Prof. ALKHAN SARIYEV (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to enable students to gain knowledge about the presentation of data, summarizing and analysis of data by taking the concepts that form the basis of statistics practically.

Course Content

Data, Data Collection and Description, Data editing and presentation methods, 3D graphics of data, Data-based interpolation and transformation of functions, Data base and data filtering management systems, Statistical data analysis, Regression and correlation, Multiple regression and functional forms, Analysis of variance based on data, Analysis of principal components of data within a cluster, Dendrogram

Course Precondition

No prerequisites.

Resources

Data Analysis with Examples SPSS Applied

Notes

Different resources on data analysis


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Find and develop appropriate tools and methods to collect data correctly
LO02 Produce information by summarizing data in a way that helps decision making
LO03 Do basic and advanced statistical data analysis
LO04 Produce information by processing data stored in information systems
LO05 Use information technologies and software in data management and analysis


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Has discipline-specific subject’s adequate knowledge of mathematics, science, and Agricultural Engineering (Soil Science and Plant Nutrition); use theoretical and applied knowledge in these fields of the complex engineering problems.
PLO02 Beceriler - Bilişsel, Uygulamalı Define, formulate and solve complex problems in the field of Soil Science and Plant Nutrition, select and apply appropriate analysis and modeling methods for this purpose.
PLO03 Yetkinlikler - Öğrenme Yetkinliği Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions, and apply modern design methods for this purpose in Soil Science and Plant Nutrition discipline.
PLO04 Yetkinlikler - İletişim ve Sosyal Yetkinlik Select and use modern tools necessary for the analysis and solution of complex problems and use information technologies effectively in the field of Soil Science and Plant Nutrition application. 2
PLO05 Beceriler - Bilişsel, Uygulamalı Design, conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research issues encountered in the field of Soil Science and Plant Nutrition. 2
PLO06 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Work effectively in interdisciplinary (Soil Science and Plant Nutrition) and multidisciplinary teams; develope individual study skills
PLO07 Yetkinlikler - İletişim ve Sosyal Yetkinlik Communicate effectively orally and in writing; has a foreign language knowledge at the “beginner” level; write reports effectively in the field of Soil Science and Plant Nutrition, understand written reports, prepare, design and production reports, make effective presentations, take and give clear and understandable instructions.
PLO08 Yetkinlikler - Öğrenme Yetkinliği Gain awareness of the necessity of lifelong learning; access information in the field of Soil Science and Plant Nutrition, follow the developments in science and technology, and constantly renew oneself.
PLO09 Yetkinlikler - Alana Özgü Yetkinlik Compliance with ethical principles, professional and ethical responsibility in the field of Soil Science and Plant Nutrition, and has knowledge of standards used in engineering practices.
PLO10 Yetkinlikler - Alana Özgü Yetkinlik Gain knowledge of business practices as project and risk management and change management; gain awareness of entrepreneurship and innovation; information about sustainable development in the field of Soil Science and Plant Nutrition.
PLO11 Yetkinlikler - Alana Özgü Yetkinlik Has information about the effects of Soil Science and Plant Nutrition practice’s on health, environmental, and security in universal scale and social dimensions: The problems of the age reflection related with the field of Soil Science and Plant Nutrition; gain awareness of the legal implications of Soil Science and Plant Nutrition solutions.


Week Plan

Week Topic Preparation Methods
1 Data and Units, Unit Conversions, Data Mining, Data Storage, Large Data Transfer and Data Security Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
2 Data, Data Collection and Description and Clustering Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
3 Graphical Analysis of Data, 3-dimensional graphical analysis Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
4 Data-based interpolation and function transformation Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
5 Database and data filtering management systems Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
6 Linear Regression and Correlation Analysis Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
7 Preparing for the exam Preparing for the exam Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Multiple regression and functional transformations-1 Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
10 Multiple regression and functional transformations-2 Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
11 One-Way Analysis of Variance Based on Data-1 Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
12 One-Way Analysis of Variance Based on Data-2 Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
13 Principal component analysis of data within a cluster-1 Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
14 Principal component analysis of data within a cluster-2, Dendrogram (Branching) scheme Basic statistics and assessment and evaluation information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
15 Preparing for the exam Preparing for the exam Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams 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: 07.05.2024 03:37