TÜRKÇE
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Information
| Code | ENM107 |
| Name | Computer Programming I |
| Term | 2022-2023 Academic Year |
| Semester | 1. Semester |
| Duration (T+A) | 1-1 (T-A) (17 Week) |
| ECTS | 2 ECTS |
| National Credit | 1 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Arş.Gör.Dr. IRFAN MACIT |
| Course Instructor |
Arş.Gör.Dr. IRFAN MACIT
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
In Computer Programming course, Industrial Engineering Department aims to acquire the ability of basic mathematical processes that students meet with programming language.
Course Content
In the course, laboratory applications will be carried out in order to write computer programs and gain the ability to develop these programs and algorithms. The theoretical part of the course will be reinforced by practicing with laboratory applications.
Course Precondition
Course is not required any prerequisites
Resources
Int. to Programming - I Course Notes
Notes
Int. to Programming - I course notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | They learn basic concepts of computer programming, responsibility and professional ethics. |
| LO02 | They learn the basic concepts of algorithms. |
| LO03 | They learn algorithm development processes. |
| LO04 | They learn the use of algorithms related tools. |
| LO05 | They ave knowledge about designing related processes in Algorithm. |
| LO06 | They can develop algorithms individually. |
| LO07 | They learn basic concepts of computer programming. |
| LO08 | They learn data structures. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Have sufficient knowledge of mathematics, science and related engineering disciplines; can use the theoretical and applied knowledge in these fields in complex engineering problems. | 1 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquire the ability to identify, define, formulate and solve complex Industrial Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. | 1 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods for this purpose. | 2 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Develops modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications, and has the ability to use information technologies effectively. | 1 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Have the ability to design experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. | 2 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; have the ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Have the awareness of the necessity of lifelong learning; can follow the developments in science and technology and have the ability to constantly renew themselves. | 1 |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acts in accordance with ethical principles, has knowledge about the standards used in engineering applications with the awareness of professional and ethical responsibility. | 1 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Gain knowledge of business practices such as project management, risk management and change management; become aware of entrepreneurship and innovation. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Gains knowledge about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering and has awareness of the legal consequences of engineering solutions. | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | They can benefit from the power of effective communication in their professional life and have the ability to interpret developments correctly. | 2 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve integrated systems involving machine, time, information and money. | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve complex products, processes, businesses, systems by applying modern design methods, under realistic conditions and constraints such as cost, environment, sustainability, manufacturability, ethical, health, safety and political issues. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic Concepts and introduction. | Course is not required prerequsities | Öğretim Yöntemleri: Anlatım |
| 2 | Introduction to Algorithm. | Definition research. | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösteri, Deney / Laboratuvar |
| 3 | Introduction to algorithm analysis. | Definition research. | Öğretim Yöntemleri: Anlatım, Tartışma, Gösterip Yaptırma, Deney / Laboratuvar |
| 4 | Algorithm analysis cases | Research in library | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma, Deney / Laboratuvar |
| 5 | Algorithm development processes and analysis results. | Research in library | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Gösterip Yaptırma, Deney / Laboratuvar, Problem Çözme |
| 6 | Clarification of analysis results by means of algorithm development tools. | Research in library | Öğretim Yöntemleri: Alıştırma ve Uygulama, Gösterip Yaptırma, Deney / Laboratuvar, Problem Çözme |
| 7 | Algorithm design and analysis with algorithms development tools. | Research in library | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Deney / Laboratuvar, Problem Çözme |
| 8 | Mid-Term Exam | none | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Basic concepts in programming. | Prepairing laboratory examination. | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Problem Çözme |
| 10 | Programming data structures. | Prepairing laboratory examination. | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Deney / Laboratuvar, Problem Çözme |
| 11 | Data entrering in the program. | Prepairing laboratory examination. | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Deney / Laboratuvar, Problem Çözme |
| 12 | Data outputs in programming. | Prepairing laboratory examination. | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Deney / Laboratuvar, Problem Çözme |
| 13 | Setup and analysis of conditioanls in programming. | Prepairing laboratory examination. | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Deney / Laboratuvar, Problem Çözme |
| 14 | Analysis of the setting up of conditionals in computer programming. | Prepairing laboratory examination. | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Deney / Laboratuvar, Problem Çözme |
| 15 | Functional analysis in programming. | Prepairing laboratory examination. | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Deney / Laboratuvar, Problem Çözme |
| 16 | Term Exams | none | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | none | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 12 | 1 | 12 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 4 | 4 |
| Final Exam | 1 | 6 | 6 |
| Total Workload (Hour) | 50 | ||
| Total Workload / 25 (h) | 2,00 | ||
| ECTS | 2 ECTS | ||