TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Fourth Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	3
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	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 DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	This 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 Designing Experiments in PsychoPy V 8th Week Conducting Research via Python I 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 General Evaluation
RECOMENDED OR REQUIRED READING	Farrel, 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 WORKLOAD	Activities Number Hours Workload Midterm exam 1 1 1 Preparation for Quiz Individual or group work 1 15 15 Preparation for Final exam Course hours 14 2 28 Preparation for Midterm exam 1 10 10 Laboratory (including preparation) Final exam 1 20 20 Homework Project 1 20 20 Total Workload 94 Total Workload / 30 3,13 ECTS Credits of the Course 3
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No