TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Third Term (Fall)
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) Will be able to familiarize with computer systems. 2) Will be able to construct basic algorithms. 3) Can use Python programming language. 4) Are familiar with algorithmic thinking. 5) Will be able to write basic computer programs.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	This is an introductory programming course. Topics include familiarization with and utilization of computer systems; developing logic; preparing top-down design of problems; and creating programs. Students will learn how to construct basic algorithms and write computer programs using basic types, loops, and conditionals. The course also offers an introduction to the historical and social context of computing and an overview of computer science as a discipline and its application to psychology.
COURSE CONTENTS	WEEK TOPICS 1st Week History of Computers 2nd Week Operating Principles of Computers and Their Applications 3rd Week Introduction to Algorithms 4th Week Algorithms and Flow Charts I 5th Week Algorithms and Flow Charts II 6th Week Introduction to Software Development 7th Week Software Development 8th Week Mid-Term Exam 9th Week Introduction to Python 10th Week Programming with Python I 11th Week Programming with Python II 12th Week Programming with Python III 13th Week Programming with Python IV 14th Week Course Evaluation
RECOMENDED OR REQUIRED READING	Cormen, T. H., Stein, C., Rivest, R. L., & Leiserson, C. E. (2009). Introduction to algorithms. Cambridge: The MIT Press.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Attendance 1 20 Total(%) 50 Contribution of In-term Studies to Overall Grade(%) 50 Contribution of Final Examination to Overall Grade(%) 50 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1 1 Preparation for Quiz Individual or group work 1 30 30 Preparation for Final exam 1 30 30 Course hours 14 2 28 Preparation for Midterm exam Laboratory (including preparation) Final exam Homework Total Workload 89 Total Workload / 30 2,96 ECTS Credits of the Course 3
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No