School/Faculty/Institute Faculty of Engineering
Course Code COMP 109
Course Title in English Computer Programming (JAVA)
Course Title in Turkish Bilgisayar Programlama (JAVA)
Language of Instruction EN
Type of Course Exercise,Flipped Classroom,Lecture
Level of Course Introductory
Semester Spring,Fall
Contact Hours per Week
Lecture: 3 Recitation: none Lab: 2 Other: none
Estimated Student Workload 151 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Expected Prior Knowledge Basic mathematics knowledge
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 and while providing informed judgments under restricted contexts;
3) 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 TUNA ÇAKAR , March 2024
Course Coordinator TUNA ÇAKAR
Semester Spring,Fall
Name of Instructor Asst. Prof. Dr. TUNA ÇAKAR

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 I
7) Functions II
8) Functions III
9) Loops I
10) Loops II
11) Methods and Debugging I
12) Methods and Debugging II
13) Single-Dimensional Arrays
14) Multi-Dimensional Arrays
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsIntro. to Java Programming: Comprehensive Ed. (11th Ed., Pearson, 2014), Daniel Liang.
Teaching MethodsFlipped classroom. Students work individually for assignments.
Homework and ProjectsAssignments
Laboratory WorkLaboratory study
Computer UseRequired
Other Activitiesnone
Assessment Methods
Assessment Tools Count Weight
Laboratory 1 % 10
Application 1 % 20
Quiz(zes) 1 % 10
Homework Assignments 1 % 20
Midterm(s) 1 % 15
Final Examination 1 % 25
TOTAL % 100
Course Administration cakart@mef.edu.tr
0 212 395 37 45
Instructor’s office: 5th floor Phone number: 0 212 395 37 50 Office hours: After the lecture hours. E-mail address: cakart@mef.edu.tr Statement on plagiarism: YÖK Regulations

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