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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
FUNDAMENTAL of PROGRAMMING-Fall Semester4+047
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelShort Cycle (Associate's Degree)
Course TypeRequired
Course CoordinatorLect. Beyza KOYULMUŞ
Name of Lecturer(s)Lect. Ercan ERKALKAN, Lect. Beyza KOYULMUŞ
Assistant(s)Microsoft Visual Studio
AimWith this course, it is aimed to understand the logic of programming basics, algorithm structures and general features.
Course ContentThis course contains; Course objective, introduction, general information about programming, Introduction to Programming,Microsoft Visual Studio Installation and Introduction,Variable, Operator and Type Conversions,Decision Structures, If - else , Switch Case,Loop Structures , for , while,Decision Structures and Loop Structures Application Examples ,Lists, Series,Multidimensional Arrays,Methods,Function Types ,Class Structure,Introduction to Object Oriented Programming,Application Examples.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Understands the basics of programming.12, 13, 14, 2, 3, 6, 8, 9A, E, F, G
Understands the logic of algorithm construction. 12, 14, 2, 3, 6, 8, 9A, E, F, G
Solves basic programming problems. 10, 11, 12, 14, 16, 2, 3, 9A, E, F, G
Uses control statements and loop structures.10, 14, 3, 6, 9A, E, F, G
Improves problem solving skills10, 14, 6, 9A, E, F
Teaching Methods:10: Discussion Method, 11: Demonstration Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 3: Problem Baded Learning Model, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1 Course objective, introduction, general information about programming
2 Introduction to Programming
3Microsoft Visual Studio Installation and Introduction
4Variable, Operator and Type Conversions
5Decision Structures, If - else , Switch Case
6Loop Structures , for , while
7Decision Structures and Loop Structures Application Examples
8Lists, Series
9Multidimensional Arrays
10Methods
11Function Types
12Class Structure
13Introduction to Object Oriented Programming
14Application Examples
Resources
Introduction to Algorithms, Cormen, Leiserson, Rivest ve Stein.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Has the background in algorithms, programming, and application development in software engineering projects; and has the ability to use them together in business.
X
2
Chooses and uses the proper solution methods and special techniques for programming purpose.
X
3
Uses modern techniques and tools for programming applications.
X
4
Works effectively individually and in teams.
X
5
Implements and follows test cases of developed software and applications.
X
6
Has the awareness in workplace practices, worker health, environmental and workplace safety, professional and ethical responsibility, and legal issues about programming practices.
7
Reaches information, and surveys resources for this purpose.
X
8
Aware of the necessity of life-long learning; follows technological advances and renews him/herself.
X
9
Communicates, oral and written, effectively using modern tools.
10
Aware of universal and social effects of software solutions and practices; develops new software tools for solving universal problems and social advance.
X
11
Keeps attention in clean and readable code design.
X
12
Considers and follows user centered design principles.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours000
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report000
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam000
General Exam000
Performance Task, Maintenance Plan000
Total Workload(Hour)0
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(0/30)0
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
FUNDAMENTAL of PROGRAMMING-Fall Semester4+047
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelShort Cycle (Associate's Degree)
Course TypeRequired
Course CoordinatorLect. Beyza KOYULMUŞ
Name of Lecturer(s)Lect. Ercan ERKALKAN, Lect. Beyza KOYULMUŞ
Assistant(s)Microsoft Visual Studio
AimWith this course, it is aimed to understand the logic of programming basics, algorithm structures and general features.
Course ContentThis course contains; Course objective, introduction, general information about programming, Introduction to Programming,Microsoft Visual Studio Installation and Introduction,Variable, Operator and Type Conversions,Decision Structures, If - else , Switch Case,Loop Structures , for , while,Decision Structures and Loop Structures Application Examples ,Lists, Series,Multidimensional Arrays,Methods,Function Types ,Class Structure,Introduction to Object Oriented Programming,Application Examples.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Understands the basics of programming.12, 13, 14, 2, 3, 6, 8, 9A, E, F, G
Understands the logic of algorithm construction. 12, 14, 2, 3, 6, 8, 9A, E, F, G
Solves basic programming problems. 10, 11, 12, 14, 16, 2, 3, 9A, E, F, G
Uses control statements and loop structures.10, 14, 3, 6, 9A, E, F, G
Improves problem solving skills10, 14, 6, 9A, E, F
Teaching Methods:10: Discussion Method, 11: Demonstration Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 3: Problem Baded Learning Model, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1 Course objective, introduction, general information about programming
2 Introduction to Programming
3Microsoft Visual Studio Installation and Introduction
4Variable, Operator and Type Conversions
5Decision Structures, If - else , Switch Case
6Loop Structures , for , while
7Decision Structures and Loop Structures Application Examples
8Lists, Series
9Multidimensional Arrays
10Methods
11Function Types
12Class Structure
13Introduction to Object Oriented Programming
14Application Examples
Resources
Introduction to Algorithms, Cormen, Leiserson, Rivest ve Stein.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Has the background in algorithms, programming, and application development in software engineering projects; and has the ability to use them together in business.
X
2
Chooses and uses the proper solution methods and special techniques for programming purpose.
X
3
Uses modern techniques and tools for programming applications.
X
4
Works effectively individually and in teams.
X
5
Implements and follows test cases of developed software and applications.
X
6
Has the awareness in workplace practices, worker health, environmental and workplace safety, professional and ethical responsibility, and legal issues about programming practices.
7
Reaches information, and surveys resources for this purpose.
X
8
Aware of the necessity of life-long learning; follows technological advances and renews him/herself.
X
9
Communicates, oral and written, effectively using modern tools.
10
Aware of universal and social effects of software solutions and practices; develops new software tools for solving universal problems and social advance.
X
11
Keeps attention in clean and readable code design.
X
12
Considers and follows user centered design principles.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 05/11/2023 - 20:23Son Güncelleme Tarihi: 05/11/2023 - 20:25