TMT136 Statistics

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

Information

Unit FACULTY OF AGRICULTURE
AGRICULTURAL MACHINERY AND TECHNOLOGIES ENGINEERING PR.
Code TMT136
Name Statistics
Term 2021-2022 Academic Year
Semester 2. Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÖKHAN TAMER KAYAALP
Course Instructor Prof. Dr. GÖKHAN TAMER KAYAALP (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to provide basic statistical information and to enable students to easily analyze the figures obtained from livestock trials after graduation using the statistical methods they have learned in the course.

Course Content

In the course, statistical analysis and interpretation of trial plans are explained as content.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns Basic Statistical Analysis methods
LO02 knows how to interpret the results of analysis.
LO03 Knows how to analyze and synthesize.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Knows the concepts of basic science, engineering, general agricultural and agricultural machinery and other social-cultural subjects in order to have proficiency for agricultural machinery education and get current information.
PLO02 - Learns the use and conservation of natural and fossil energy sources in agricultural production.
PLO03 - Learns the production methods of agricultural machinery, knows and selects materials.
PLO04 - Be aware of the universal and social effects of professional practices, to comprehend the importance of entrepreneurship and innovation issues.
PLO05 - Learns the basic applications of agricultural machinery in terms of setting, maintenance, field using and related problems.
PLO06 - Applies sustainable production models which are suitable for mechanization in agricultural enterprises, creates and manages the optimum mechanization chain.
PLO07 - Knows and applies the standards, laws and regulations of agricultural machinery.
PLO08 - Identifies the problems that can be solved within the scope of agricultural mechanization in plant and animal production and makes selection from existing agricultural machinery.
PLO09 - Learns and applies the methods for self-improvement in a professional sense.
PLO10 - Plans and manages the production, marketing and service network of agricultural machinery.
PLO11 - Have general proficiency on basic engineering and agricultural engineering, specifically in the field of Agricultural Machinery.
PLO12 - Supports the companies working in the field of agricultural machinery for R & D and technology development.
PLO13 - Learns new applications and software for agricultural machinery design.
PLO14 - Communicates with the representatives of the manufacturing industry, public institutions and professional chambers of the agricultural machinery sector within the scope of internship, practice and current problems monitoring and takes responsibility in different working environments.


Week Plan

Week Topic Preparation Methods
1 Basic Statistical Concepts and Notations Course Book
2 Locations Measurements (Mod, Median, Mean, etc.) Course Book
3 Distribution Measurements Course Book
4 Discrete Probability Distributions Course Book
5 General Review and Problem Solving Course Book
6 Continuous Probability Distributions Course Book
7 General Review and Problem Solving Course Book
8 Mid-Term Exam
9 Confidence Intervals Course Book
10 Hypothesis testing Course Book
11 Hypothesis testing Course Book
12 General Review and Problem Solving Course Book
13 Khi Square Analysis Course Book
14 Regression and Correlation Analaysis Course Book
15 General Review and Problem Solving Course Book
16 Term Exams
17 Term Exams


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

Update Time: 25.05.2021 01:21