ECTS - Computer Programming
Computer Programming (CMPE102) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Computer Programming | CMPE102 | 1. Semester | 2 | 2 | 0 | 3 | 4 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Service Courses Taken From Other Departments |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| Course Objectives | The objective of this course is to provide the basics of programming concepts using Python programming language and enable students to gain experience in laboratory environment. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | The objective of this course is to provide the basics of programming concepts using Python programming language and enable students to gain experience in laboratory environment. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to Computers and Programming | Chapter 1 |
| 2 | Algorithm Development (pseudo code and flowchart) | Chapter 2 |
| 3 | Input, Processing, and Output | Chapter 2 |
| 4 | If and compound statements | Chapter 3 |
| 5 | Nested decision structures | Chapter 3 |
| 6 | Repetition and loop statements: While loop, For loop | Chapter 4 |
| 7 | Repetition and loop statements: Nested loops | Chapter 4 |
| 8 | Lists and Tuples | Chapter 7 |
| 9 | Lists and Tuples | Chapter 7 |
| 10 | Dictionaries | Chapter 9 |
| 11 | Sets | Chapter 9 |
| 12 | Functions | Chapter 5 |
| 13 | Functions | Chapter 5 |
| 14 | Review | |
| 15 | Review | |
| 16 | Review |
Sources
| Course Book | 1. Tony Gaddis, “Starting Out with Python”, Pearson, 5th Edition, 2019. |
|---|---|
| Other Sources | 2. "Python 3", Onur Sevli, Kodlab, 12.Baskı , 2023. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | 2 | 20 |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 50 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 5 | 100 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | |
| Supportive Courses | X |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Engineering Knowledge: Knowledge of mathematics, science, fundamental engineering, computational sciences, and related engineering disciplines; the ability to apply this knowledge to solve complex engineering problems. | |||||
| 2 | Problem Analysis: The ability to identify, formulate, and analyze complex engineering problems using fundamental scientific, mathematical, and engineering knowledge, considering the relevant UN Sustainable Development Goals. | |||||
| 3 | Engineering Design: The ability to design creative solutions to complex engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, considering realistic constraints and conditions. | |||||
| 4 | Techniques and Tool Usage: The ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations. | X | ||||
| 5 | Research and Investigation: The ability to use research methods, including literature review, designing experiments, conducting experiments, collecting data, analyzing and interpreting results, to investigate complex engineering problems. | |||||
| 6 | Global Impact of Engineering Applications: Information about the impacts of engineering applications on society, health and safety, the economy, sustainability and the environment within the framework of the UN Sustainable Development Goals; awareness of the legal consequences of engineering solutions. | |||||
| 7 | Engineering Ethics: Knowledge of ethical responsibility and adherence to engineering professional principles; awareness of impartiality, lack of discrimination, and inclusivity. | |||||
| 8 | Individual and Teamwork: The ability to work effectively individually and as a team member or leader in interdisciplinary and multidisciplinary teams (face-to-face, on-line, or hybrid). | X | ||||
| 9 | Oral and Written Communication: The ability to communicate effectively orally and in writing on technical topics, considering the diverse differences of the target audience (education, language, profession, etc.). | |||||
| 10 | Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation. | |||||
| 11 | Lifelong Learning: The ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about technological change. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 2 | 32 |
| Laboratory | 12 | 2 | 24 |
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 2 | 32 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 4 | 8 |
| Prepration of Final Exams/Final Jury | 1 | 4 | 4 |
| Total Workload | 100 | ||