ENF204 Introduction to Computer Programming

4 ECTS - 2-2 Duration (T+A)- 4. Semester- 3 National Credit

Information

Code ENF204
Name Introduction to Computer Programming
Semester 4. Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 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 Goal

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

NONE

Resources

Lecture Notes

Notes

Lecture 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.
LO09 They have information about visual programming languages.
LO10 They learn to make a simple program in a visual programming language.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Comprehend the ability to prove the mathematical knowledge gained in secondary education on the basis of theoretical basis.
PLO02 Bilgi - Kuramsal, Olgusal Understands importance of basic consepts of Algebra, Analaysis and Topology.
PLO03 Yetkinlikler - Öğrenme Yetkinliği Mathematical reasoning demonstrates the ability to develop and write mathematical proofs by gaining maturity.
PLO04 Bilgi - Kuramsal, Olgusal Demonstrate the ability to express the basic theories of mathematics both correctly.
PLO05 Bilgi - Kuramsal, Olgusal Understands the relationship between the different fields of mathematics and its relation to other disciplines.
PLO06 Bilgi - Kuramsal, Olgusal Comprehends the ability to understand the relationships between the objects in the most understandable way while creating a model for any problem.
PLO07 Bilgi - Kuramsal, Olgusal Comprehend and explain mathematical models such as formulas, graphs, tables and schema.
PLO08 Bilgi - Kuramsal, Olgusal Demonstrate the ability to mathematically rearrange, analyze, and model the problems they encounter.
PLO09 Bilgi - Kuramsal, Olgusal Comprehends at least one of the computer programming languages. 4
PLO10 Bilgi - Kuramsal, Olgusal Demonstrate the ability to use scientific methods and appropriate technologies effectively in problem solving. 3
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Understands sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği In addition to their professional development, they demonstrate their ability to continuously improve themselves by identifying their educational needs in scientific, cultural, artistic and social areas in line with their interests and abilities.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Understands the programming techniques and shows the ability to do programming. 4
PLO14 Yetkinlikler - Öğrenme Yetkinliği Demonstrates the ability to study mathematics both independently and as a group.
PLO15 Bilgi - Kuramsal, Olgusal Demonstrate an awareness of the universal and social impacts and legal consequences of mathematical applications in the field of study.
PLO16 Bilgi - Kuramsal, Olgusal Demonstrate the ability to select, use and develop effectively for contemporary mathematical applications.
PLO17 Bilgi - Kuramsal, Olgusal It has ability of lifelong learning awareness, access to information, monitoring developments in science and technology and self-renewal ability.
PLO18 Bilgi - Kuramsal, Olgusal Gains the ability to use information technologies effectively for contemporary mathematical applications.
PLO19 Bilgi - Kuramsal, Olgusal Gains the ability to design, conduct experiments, field work, data collection, analysis, archiving, text solving and / or interpretation according to mathematics fields.
PLO20 Bilgi - Kuramsal, Olgusal Gains the consciousness of prefesional ethics and responsibility. 5


Week Plan

Week Topic Preparation Methods
1 Basic Concepts and introduction. Definition research Öğretim Yöntemleri:
Anlatım
2 Introduction to Algorithm. Definition research. Öğretim Yöntemleri:
Anlatım
3 Introduction to algorithm analysis. Definition research. Öğretim Yöntemleri:
Anlatım
4 Algorithm analysis. Research in library Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
5 Algorithm development processes and analysis results. Research in library Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Örnek Olay, Problem Çözme
6 Clarification of analysis results by means of algorithm development tools. Research in library Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Örnek Olay, Problem Çözme
7 Algorithm design and analysis with algorithms development tools. Research in library Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma, Örnek Olay, Problem Çözme
8 Mid-Term Exam None Ölçme Yöntemleri:
Yazılı Sınav
9 Basic concepts in programming. Prepairing laboratory examination. Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Deney / Laboratuvar, Bireysel Çalışma, Problem Çözme
10 Programming data structures. Prepairing laboratory examination. Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma, Örnek Olay, Deney / Laboratuvar, Problem Çözme
11 Data entrering in the program. Prepairing laboratory examination. Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma, Örnek Olay, Deney / Laboratuvar, Problem Çözme
12 Data outputs in programming. Prepairing laboratory examination. Öğretim Yöntemleri:
Anlatım, Örnek Olay, 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, Deney / Laboratuvar, Problem Çözme
16 Term Exams Ending laboratory examination. Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ending laboratory examination. Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 1 14
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 100
Total Workload / 25 (h) 4,00
ECTS 4 ECTS