TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| INDUSTRIAL ENGINEERING PR. | |
| Code | ENM107 |
| Name | Computer Programming I |
| Term | 2020-2021 Academic Year |
| Semester | 1. Semester |
| Duration (T+A) | 1-1 (T-A) (17 Week) |
| ECTS | 2 ECTS |
| National Credit | 1.5 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Öğr. Gör. Dr. İRFAN MACİT |
| Course Instructor |
Öğr. Gör. Dr. İRFAN MACİT
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
In Computer Programming course, Mathematics 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
Resources
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 | Acquires sufficient knowledge in mathematics, science and Industrial Engineering discipline-specific subjects; acquires the ability to use theoretical and applied knowledge in these fields in complex engineering problems. | 1 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires the ability to identify, define, formulate and analytically solve complex Industrial Engineering problems; and has the ability to select and apply appropriate analysis and modelling methods for this purpose. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Acquires the ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; acquires the ability to apply modern design methods for this purpose. | 2 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Acquires the ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Industrial Engineering applications and acquires the ability to use information technologies effectively. | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Acquire the skills to design and conduct experiments, collect data, analyze and interpret results to investigate complex Industrial Engineering problems or discipline-specific research topics. | |
| 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, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand effective reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | They have awareness of the necessity of lifelong learning; they have the ability to access information, follow developments in science and technology, and constantly renew themselves. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acting in accordance with ethical principles, becoming knowledgeable about the standards used in engineering practices with awareness of professional and ethical responsibility. | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Learn about business practices such as project management, risk management and change management, and is aware of entrepreneurship and innovation. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Informed about the universal and societal impacts of engineering practices on health, environment and safety, and the contemporary problems reflected in the field of engineering, and is aware of the legal consequences of engineering solutions. | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Benefit from the power of effective communication in professional life and has the ability to interpret developments correctly. | 2 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve integrated systems that include machines, people, time, information or money. | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | By applying modern design methods, they have the ability to design, develop, implement and improve complex products, processes, businesses and systems under realistic conditions and constraints such as cost, environment, sustainable development, energy, manufacturability, ethics, health, safety and political issues. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic Concepts and introduction. | None | |
| 2 | Introduction to Algorithm. | Definition research. | |
| 3 | Introduction to algorithm analysis. | Definition research. | |
| 4 | Algorithm analysis cases | Research in library | |
| 5 | Algorithm development processes and analysis results. | Research in library | |
| 6 | Clarification of analysis results by means of algorithm development tools. | Research in library | |
| 7 | Algorithm design and analysis with algorithms development tools. | Research in library | |
| 8 | Mid-Term Exam | none | |
| 9 | Basic concepts in programming. | Prepairing laboratory examination. | |
| 10 | Programming data structures. | Prepairing laboratory examination. | |
| 11 | Data entrering in the program. | Prepairing laboratory examination. | |
| 12 | Data outputs in programming. | Prepairing laboratory examination. | |
| 13 | Setup and analysis of conditioanls in programming. | Prepairing laboratory examination. | |
| 14 | Analysis of the setting up of conditionals in computer programming. | Prepairing laboratory examination. | |
| 15 | Functional analysis in programming. | Prepairing laboratory examination. | |
| 16 | Term Exams | none | |
| 17 | Term Exams | none |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||