Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| COMPUTATIONAL TOOLS in PSYCHOLOGICAL RESEARCH | PSY3215538 | Spring Semester | 3+0 | 3 | 6 |
| Course Program | Pazartesi 14:30-15:15 Pazartesi 15:30-16:15 Pazartesi 16:30-17:15 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assist.Prof. Büşra AKTAŞ |
| Name of Lecturer(s) | Assist.Prof. Büşra AKTAŞ, Lect. İlayda VELİOĞLU |
| Assistant(s) | |
| Aim | The purpose of this course is to transfer practical actions such as
loading data, organizing data, visualizing data, and conducting basic
statistical analyses (regression, ANOVA, t-test, correlation, etc.)
using the R programming language, which has become frequently
used. It aims to familiarize students with R Studio panels, master
general terminology, distinguish data types, and perform actions such
as writing commands. |
| Course Content | This course contains; What is R? R Studio and General Terminology ,Data Types and Writing R Script,Data Visualization-1,Data Visualization-2,Data Wrangling -1,Data Wrangling -2,Data Importing and tidy,Basit Statistical Measurements,Basic Regression,Multiple Regression,T-test and Correlation,ANOVA. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1.Students can recognize R Studio panels and have a
command of general terminology.
| 1, 4 | A |
| 7.Bir araştırma sürecini yalnızca R kullanarak baştan sona
kadar yürütebilir | 1, 16 | A, D |
| 2. Students can list data types and write commands. | 1, 4 | A |
| 3. Students can use frequently used R functions and
libraries | 1, 4 | A |
| 4. Students can visualize data and customize
visualizations.
| 1, 4 | A, C |
| 5. Students can load external data into R and edit the data. | 1, 4 | A, C |
| 6. Students can perform basic statistical analyses using R. | 1, 4 | A, C |
| Teaching Methods: | 1: Mastery Learning, 16: Question - Answer Technique, 4: Inquiry-Based Learning |
| Assessment Methods: | A: Traditional Written Exam, C: Multiple-Choice Exam, D: Oral Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | What is R? R Studio and General Terminology | B1.1 |
| 2 | Data Types and Writing R Script | B2.7 |
| 3 | Data Visualization-1 | B1.2 |
| 4 | Data Visualization-2 | B1.2 |
| 5 | Data Wrangling -1 | B1.3 |
| 6 | Data Wrangling -2 | B1.3 |
| 7 | Data Importing and tidy | B1.4 |
| 8 | Basit Statistical Measurements | B2.14 |
| 9 | Basic Regression | B1.5 |
| 10 | Multiple Regression | B1.6 |
| 11 | T-test and Correlation | B1.14 |
| 12 | ANOVA | B1.14 |
| Resources |
| https://moderndive.com/index.html
https://www.geeksforgeeks.org/r-tutorial/?ref=lbp |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications |
| No | Program Qualification | Contribution Level |
| 1 | 2 | 3 | 4 | 5 |
| 1 | Knows the basic concepts of research and application-oriented sub-fields of psychology and the basic theories of these fields. | | | | X | |
| 2 | Can compare theories and schools in the history of psychology, and relate new developments with this knowledge. | | | | | |
| 3 | Can recognize and interpret the problems they encounter and offer solutions using their expert knowledge. | | X | | | |
| 4 | Can investigate a problem with scientific methods, interpret findings and turn the results into a scientific publication. | | | | | X |
| 5 | Can lead the project, plan and manage the activities in a team established to solve the problems related to their field. | | | X | | |
| 6 | Can question and criticize new ideas from a scientific point of view without taking sides. | | | | | |
| 7 | They adopt the principle of lifelong learning and can follow new developments in their field. | | X | | | |
| 8 | Can share their findings, knowledge and solution suggestions about a problem with colleagues or people outside of their field in written or oral form, in an appropriate language. | | X | | | |
| 9 | They have a sense of social responsibility and can use their professional achievements in solving problems in their near and far surroundings. | X | | | | |
| 10 | Speaks English at least at B1 level to follow international professional developments. | | X | | | |
| 10 | Speaks English at least at B1 level to follow international professional developments. | | X | | | |
| 11 | Has basic computer skills and can communicate with colleagues on up-to-date platforms. | | | | X | |
| 12 | Knows the basic tools of psychology used in assessment and evaluation and can use these tools. | | | | X | |
| 13 | Knows professional responsibilities, authorization, and limits, recognizes psychological problems, can make the right referral for their solution, and abides by ethical principles in research and practice. | | | | | |
| 14 | They consider individual and cultural differences in research and practice and take these differences into account while evaluating the research results. | | X | | | |
Assessment Methods
| Contribution Level | Absolute Evaluation |
| Rate of Midterm Exam to Success | | 40 |
| Rate of Final Exam to Success | | 60 |
| Total | | 100 |
| ECTS / Workload Table |
| Activities | Number of | Duration(Hour) | Total Workload(Hour) |
| Course Hours | 0 | 0 | 0 |
| Guided Problem Solving | 0 | 0 | 0 |
| Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 |
| Term Project | 0 | 0 | 0 |
| Presentation of Project / Seminar | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Midterm Exam | 0 | 0 | 0 |
| General Exam | 0 | 0 | 0 |
| Performance Task, Maintenance Plan | 0 | 0 | 0 |
| Total Workload(Hour) | 0 |
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(0/30) | 0 |
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. |
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| COMPUTATIONAL TOOLS in PSYCHOLOGICAL RESEARCH | PSY3215538 | Spring Semester | 3+0 | 3 | 6 |
| Course Program | Pazartesi 14:30-15:15 Pazartesi 15:30-16:15 Pazartesi 16:30-17:15 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assist.Prof. Büşra AKTAŞ |
| Name of Lecturer(s) | Assist.Prof. Büşra AKTAŞ, Lect. İlayda VELİOĞLU |
| Assistant(s) | |
| Aim | The purpose of this course is to transfer practical actions such as
loading data, organizing data, visualizing data, and conducting basic
statistical analyses (regression, ANOVA, t-test, correlation, etc.)
using the R programming language, which has become frequently
used. It aims to familiarize students with R Studio panels, master
general terminology, distinguish data types, and perform actions such
as writing commands. |
| Course Content | This course contains; What is R? R Studio and General Terminology ,Data Types and Writing R Script,Data Visualization-1,Data Visualization-2,Data Wrangling -1,Data Wrangling -2,Data Importing and tidy,Basit Statistical Measurements,Basic Regression,Multiple Regression,T-test and Correlation,ANOVA. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1.Students can recognize R Studio panels and have a
command of general terminology.
| 1, 4 | A |
| 7.Bir araştırma sürecini yalnızca R kullanarak baştan sona
kadar yürütebilir | 1, 16 | A, D |
| 2. Students can list data types and write commands. | 1, 4 | A |
| 3. Students can use frequently used R functions and
libraries | 1, 4 | A |
| 4. Students can visualize data and customize
visualizations.
| 1, 4 | A, C |
| 5. Students can load external data into R and edit the data. | 1, 4 | A, C |
| 6. Students can perform basic statistical analyses using R. | 1, 4 | A, C |
| Teaching Methods: | 1: Mastery Learning, 16: Question - Answer Technique, 4: Inquiry-Based Learning |
| Assessment Methods: | A: Traditional Written Exam, C: Multiple-Choice Exam, D: Oral Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | What is R? R Studio and General Terminology | B1.1 |
| 2 | Data Types and Writing R Script | B2.7 |
| 3 | Data Visualization-1 | B1.2 |
| 4 | Data Visualization-2 | B1.2 |
| 5 | Data Wrangling -1 | B1.3 |
| 6 | Data Wrangling -2 | B1.3 |
| 7 | Data Importing and tidy | B1.4 |
| 8 | Basit Statistical Measurements | B2.14 |
| 9 | Basic Regression | B1.5 |
| 10 | Multiple Regression | B1.6 |
| 11 | T-test and Correlation | B1.14 |
| 12 | ANOVA | B1.14 |
| Resources |
| https://moderndive.com/index.html
https://www.geeksforgeeks.org/r-tutorial/?ref=lbp |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications |
| No | Program Qualification | Contribution Level |
| 1 | 2 | 3 | 4 | 5 |
| 1 | Knows the basic concepts of research and application-oriented sub-fields of psychology and the basic theories of these fields. | | | | X | |
| 2 | Can compare theories and schools in the history of psychology, and relate new developments with this knowledge. | | | | | |
| 3 | Can recognize and interpret the problems they encounter and offer solutions using their expert knowledge. | | X | | | |
| 4 | Can investigate a problem with scientific methods, interpret findings and turn the results into a scientific publication. | | | | | X |
| 5 | Can lead the project, plan and manage the activities in a team established to solve the problems related to their field. | | | X | | |
| 6 | Can question and criticize new ideas from a scientific point of view without taking sides. | | | | | |
| 7 | They adopt the principle of lifelong learning and can follow new developments in their field. | | X | | | |
| 8 | Can share their findings, knowledge and solution suggestions about a problem with colleagues or people outside of their field in written or oral form, in an appropriate language. | | X | | | |
| 9 | They have a sense of social responsibility and can use their professional achievements in solving problems in their near and far surroundings. | X | | | | |
| 10 | Speaks English at least at B1 level to follow international professional developments. | | X | | | |
| 10 | Speaks English at least at B1 level to follow international professional developments. | | X | | | |
| 11 | Has basic computer skills and can communicate with colleagues on up-to-date platforms. | | | | X | |
| 12 | Knows the basic tools of psychology used in assessment and evaluation and can use these tools. | | | | X | |
| 13 | Knows professional responsibilities, authorization, and limits, recognizes psychological problems, can make the right referral for their solution, and abides by ethical principles in research and practice. | | | | | |
| 14 | They consider individual and cultural differences in research and practice and take these differences into account while evaluating the research results. | | X | | | |
Assessment Methods
| Contribution Level | Absolute Evaluation |
| Rate of Midterm Exam to Success | | 40 |
| Rate of Final Exam to Success | | 60 |
| Total | | 100 |
Numerical Data
Ekleme Tarihi: 05/10/2023 - 15:20Son Güncelleme Tarihi: 05/10/2023 - 15:21
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