School/Faculty/Institute Faculty of Engineering
Course Code COMP 113
Course Title in English Computer Programming (Python)
Course Title in Turkish Bilgisayar Programlama (Python)
Language of Instruction EN
Type of Course Select
Level of Course Select
Semester Fall
Contact Hours per Week
Lecture: 151 Recitation: 3 Lab: 2 Other:
Estimated Student Workload 151 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn fundamentals of computer programming, how to design and implement computer algorithms to solve basic engineering problems in Java programming language.
Course Description This course provides a comprehensive understanding of computer programming. The following topics are covered: Fundamentals of computers and computer programming; variables and data types; control flow and conditionals; functions; loops; methods and debugging; single and multi-dimensional arrays.
Course Description in Turkish Bu ders, bilgisayar programlamanın kapsamlı bir şekilde anlaşılmasını sağlamaktadır. Aşağıdaki konular işlenmektedir: Bilgisayar programlamanın temelleri, program control, fonksiyonlar, diziler, katarlar, işaretçiler, dosya işleme ve yapılar.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) identify, formulate, and solve fundamental computer science and basic engineering problems by applying principles of engineering, science, and mathematics;
2) Recognize ethical and professional responsibilities related to computer science while providing informed judgments under restricted contexts;
3) Further acquire and apply fundamentals of computers and computer programming as needed, using appropriate learning strategies.
Program Learning Outcomes/Course Learning Outcomes 1 2 3
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date UTKU KOÇ , July 2024
Course Coordinator TUBA AYHAN
Semester Fall
Name of Instructor Asst. Prof. Dr. FUNDA ÖZDEMİR

Course Contents

Week Subject
1) Introduction to Computers & Programming
2) Variables and Data Types I
3) Variables and Data Types II
4) Control Flow and Conditionals I
5) Control Flow and Conditionals II
6) Functions
7) Functions
8) Functions
9) Loops
10) Loops
11) Methods and Debugging
12) Methods and Debugging
13) Single-Dimensional Arrays
14) Multi-Dimensional Arrays
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended Readings
Teaching MethodsFlipped classroom. Students work individually for assignments.
Homework and ProjectsAssignments
Laboratory WorkLaboratory study
Computer UseRequired
Other Activities
Assessment Methods
Assessment Tools Count Weight
Laboratory 10 % 35
Application 5 % 10
Midterm(s) 1 % 15
Final Examination 1 % 40
TOTAL % 100
Course Administration

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 3 56
Laboratory 10 1 2 1 40
Homework Assignments 5 1 3 20
Midterm(s) 1 10 2 12
Final Examination 1 20 3 23
Total Workload 151
Total Workload/25 6.0
ECTS 6