Information Package

Program of Psychology (English)

PSY202

SOFTWARE AND PROGRAMMING IN PSYCHOLOGY

Course Code
PSY202
Semester
Fourth Term (Spring)
Theory+Practice
3 + 0
ECTS
3
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterFourth Term (Spring)
ECTS3
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Explain the programs used in psychological research.
  2. Define how to use programming languages in designing experiments and analyzing data.
  3. Design basic experiments in PsychoPy.
  4. Explain the tools that are used to gather data from participants, such as Virtual Reality.
  5. Design experiments using Python.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis course aims to provide an overview of basic software programs used in psychological research. Software include the ones used for questionnaire preparation and administration to software used in experimental designs (including the ones taking physiological measures).
Course Contents
WEEK TOPICS
1st Week Introduction
2nd Week Using Qualtrics for Research
3rd Week Designing Experiments in PsychoPy I
4th Week Designing Experiments in PsychoPy II
5th Week Designing Experiments in PsychoPy III
6th Week Designing Experiments in PsychoPy IV
7th Week Conducting Research via Python I
8th Week Mid-Term Exam
9th Week Conducting Research via Python II
10th Week Conducting Research via Python III
11th Week Conducting Research via Python IV
12th Week Conducting Research via Python V
13th Week Tools Used in VR Research and Recent Studies
14th Week Tools Used in VR Research and Recent Studies II
15th Week General Evaluation
Recommended or Required ReadingFarrel, S., & Lewandowsky, S. (2018). Computational modeling of cognition and behavior. Cambridge: Cambridge University Press.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Project
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 20
Project 1 50
Total(%) 70
Contribution of In-term Studies to Overall Grade(%) 70
Contribution of Final Examination to Overall Grade(%) 30
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz
Individual or group work 1 12 12
Preparation for Final exam
Course hours 15 2 30
Preparation for Midterm exam 1 10 10
Laboratory (including preparation)
Final exam 1 18 18
Homework
Project 1 18 18
Total Work Load89
Total Work Load / 30 (h)2.96
ECTS Credit of the Course3
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5
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K3 X X X X X
K4 X X X X X
K5
K6
K7
K8
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K10
K11 X X X X X
K12
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