TÜRKÇE
ENGLISH
Information
| Code | GM039 |
| Name | Basic Statistical Analysis used in Food Analysis |
| Term | 2023-2024 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi MERVE DARICI |
| Course Instructor |
1 |
Course Goal / Objective
To learn, apply and interpret the results of the basic statistical methods used in the evaluation of data obtained from food analysis using statistical programs.
Course Content
Basic statistical terms, descriptive statistic with statistical programs, Hypothesis tests, single sample t test, two sample t test, analysis of variance, non-parametric tests, correlation, principal component analysis.
Course Precondition
none
Resources
İstatistik ( Murray R.Spiegel & Larry J. Stephens), SPSS paket programı ile istatistiksel veri analizi (Prof.Dr.Hamza Erol)
Notes
XLSTAT notes, slides
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learning basic statistical concepts |
| LO02 | To learn the basic statistical data analysis methods and apply them to the obtained data. |
| LO03 | Interpreting statistical analysis results |
| LO04 | To be able to use a statistical program |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Develop and deepen their knowledge in the field of Food Engineering based on undergraduate level qualifications at the level of expertise. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Understands the interdisciplinary relationship related to the field of food engineering. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Synthesizes interdisciplinary information and produce new knowledge by using theoretical and practical knowledge at expert level in food engineering. | 5 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Solves food-related problems by using research methods and establishing cause-effect relationship. | 3 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Performs independent studies related to the field of food engineering. | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Develops new approaches and solutions for solving unforeseen complex problems encountered in applications in food engineering. | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Leads the way in solving problems In food engineering fields. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Evaluates the knowledge and skills acquired in the field of food engineering with a critical approach and directs its learning. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Supports current developments and own studies in the field of food engineering with quantitative and qualitative data and conveys them to groups outside and outside the field systematically in written, oral and visual form. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Examines and develops social relations and the norms that direct these relations from a critical point of view and takes action to change them when necessary. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Communicate in a foreign language at least in the European Language Portfolio B2 Level. | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Uses information and communication technologies in advanced level with computer software required by the field. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Gains importance to social, scientific, cultural and ethical values during the collection, interpretation, application and announcement of data related to food engineering. | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Develops strategy, policy and implementation plans in food engineering area and evaluates the obtained results within the framework of quality processes. | |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Uses the knowledge, problem solving and / or application skills that are assimilated in the field of food engineering in interdisciplinary studies. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic Statistical terms (Mode, Median, Frequency, Mean) | Textbook | |
| 2 | Statistical analyzes for descriptive purposes (Frequency Distributions) using a statistical program | Textbook | |
| 3 | Statistical analyzes for descriptive purposes (means) using a statistical program | Textbook | |
| 4 | Statistical analyzes for descriptive purposes using a statistical program (standard deviation, variance, standard error) | Textbook | |
| 5 | Hypothesis tests | Textbook | |
| 6 | One sample t test and its application with a statistical program | Textbook | |
| 7 | Two sample t test and its application with a statistical program | Textbook | |
| 8 | Mid-Term Exam | Textbook | |
| 9 | One-way analysis of variance | Textbook | |
| 10 | Application of one-way analysis of variance with statistical program | Textbook | |
| 11 | Two-way analysis of variance | Textbook | |
| 12 | Application of two-way analysis of variance with statistical program | Textbook | |
| 13 | Non-parametric tests and application with the program | Textbook | |
| 14 | Correlation and application with th program | Textbook | |
| 15 | Principal component analysis and its application with the program | Textbook | |
| 16 | Term Exams | Textbook | |
| 17 | Term Exams | Textbook |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 15 | 15 |
| Mid-term Exams (Written, Oral, etc.) | 0 | 0 | 0 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||