TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF AGRICULTURE |
| FOOD ENGINEERING PR. | |
| Code | IG211 |
| Name | Scientific Research Methods |
| Term | 2019-2020 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Belirsiz |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. SELMA TOKER KUTAY |
| Course Instructor |
Doç. Dr. SELMA TOKER KUTAY
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To enable students to gain skills in making comments and analysis of the problems through theoretical and practical knowledge about data analysis and basic statistical methods used in the Food Science and Technology and Related Fields.
Course Content
Introduction to basic computer skills, Preparation of data, Descriptive Statistics, Correlation, Statistical Tests, ANOVA Analysis, Regression Analysis, Coding survey data, Reliability Analysis
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Gains the ability to do data analysis. |
| LO02 | Can find solutions to the problems of operational work. |
| LO03 | Learns how to use SPSS. |
| LO04 | Gains the ability to analyze data through SPSS. |
| LO05 | Develops the skills in problem analysis and problem solving. |
| LO06 | Develops the skills in data processing and manipulation. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Have sufficient knowledge in the fields of basic sciences (mathematics / science) and food engineering and the ability to use theoretical and applied knowledge in these areas in complex engineering problems. | 3 |
| PLO02 | - | Identifies, defines and solves complex engineering problems in applications in the fields of food engineering and technology. | 2 |
| PLO03 | - | Gains the ability to apply a complex system or process related to food products and production components using modern design methods under certain constraints and conditions. | 1 |
| PLO04 | - | Choosing and using modern technical tools necessary for analysis and solution of complex problems encountered in food engineering and technology applications; For this purpose, he/she uses information technologies. | 2 |
| PLO05 | - | Gaining laboratory skills for the analysis and solution of complex problems in the field of food engineering, designing an experiment, conducting an experiment, collecting data, analyzing and interpreting the results. | 3 |
| PLO06 | - | Takes responsibility individually and as a team member to solve problems encountered in food engineering applications. | 1 |
| PLO07 | - | Gains the ability to communicate verbally and in writing in Turkish / English related to the field of food engineering, to write reports, to prepare design and production reports, to present effectively and to use communication technologies. | 3 |
| PLO08 | - | Recognizing the necessity of lifelong learning and constantly improving himself/herself in the field of food engineering. | 2 |
| PLO09 | - | Gains the awareness of food legislation and management systems and professional ethics. | 1 |
| PLO10 | - | Using the knowledge of project design and management, he/she attempts to develop and realize new ideas about food engineering applications; have information about sustainability. | 3 |
| PLO11 | - | Has awareness about the effects and legal consequences of engineering practices related to food safety and quality on consumer health and environmental safety within the framework of national and international legal regulations. | 1 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to basic computer skills | Reading source and application | |
| 2 | Introduction to SPSS Program | Reading source and application | |
| 3 | Preparation of data | Reading source and application | |
| 4 | Data screening and transformation | Reading source and application | |
| 5 | Descriptive Statistics | Reading source and application | |
| 6 | Correlation | Reading source and application | |
| 7 | Tests for means | Reading source and application | |
| 8 | Mid-Term Exam | ||
| 9 | Statistical Tests | Reading source and application | |
| 10 | ANOVA Analysis | Reading source and application | |
| 11 | ANOVA Analysis | Reading source and application | |
| 12 | Regression Analysis | Reading source and application | |
| 13 | Regression Analysis | Reading source and application | |
| 14 | Coding survey data | Reading source and application | |
| 15 | Reliability Analysis | Reading source and application | |
| 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 |