| 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 | Seçiniz | ||||
| Level of Course | Seçiniz | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 151 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Co-requisites | None | ||||
| Expected Prior Knowledge | 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 Python 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 Learning Outcomes and CompetencesUpon 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. |
| 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,Homework,Derse Katılım |
| 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 | Derse Katılım |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | Homework,Derse Katılım |
| 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,Homework |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,Homework |
| Prepared by and Date | UTKU KOÇ , July 2024 |
| Course Coordinator | FUNDA ÖZDEMİR |
| Semester | Fall |
| Name of Instructor | Asst. Prof. Dr. FUNDA ÖZDEMİR |
| 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 Methods | Flipped classroom. Students work individually for assignments. | ||||||||||||||||||
| Homework and Projects | Assignments | ||||||||||||||||||
| Laboratory Work | Laboratory study | ||||||||||||||||||
| Computer Use | Required | ||||||||||||||||||
| Other Activities | None | ||||||||||||||||||
| Assessment Methods |
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| Course Administration |
Instructor’s office: 5th floor Phone number: 0 212 395 37 50 Office hours: After the lecture hours. E-mail address: ozdemirf@mef.edu.tr Rules for attendance: YÖK Regulations. Statement on plagiarism: YÖK Regulations. http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf |
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| 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 | ||||||