The aim of this course is to provide students with knowledge about basic algorithms and problem solving structures and to gain the ability to design algorithms using these basic structures and to perform these algorithms with the Python programming language when they encounter a problem.
Course Content
This course contains; Communication With The User: Data Exchange,Communication With The User: Data Exchange,Condition-Related Situations In Python,Condition-Related Situations In Python ,Loops In Python,Loops In Python,Lists In Python,Lists In Python,Bundles and dictionaries,Packages and dictionaries,Functions, Modules In Python,Functions, Modules In Python,Object-Oriented Programming-OOP (NTP),Object-Oriented Programming-OOP (NTP),Nesne Tabanlı Programlama - OOP (NTP) .
• Gaddis, T., “Starting Out with Python, 3rd Edition”, Pearson, (2015) • Punch, W.F. & Enbody, R., “The Practice of Computing Using Python, 2nd Edition”, Pearson, (2013).
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Acquires knowledge of social work theory and practice fields.
2
Gains communication and professional interview skills
3
Obtains information about management and processes.
4
Understands professional ethics, principles and values.
5
Uses required computer software, communication technologies and a foreign language.
6
Acquires the skills of solving social problems with scientific data and evidence.
7
Improves skills for using the knowledge gained from different disciplines to solve complex social problems.
X
8
Able to cooperate with other disciplines and make teamwork.
9
Gains ability for self-development in his area to follow actual info and developments, to trace and evaluate the state of the projects for his goals.
10
Capable to practice social work and train different client groups.
11
Learns the effects of the social and cultural environment on human behavior and considers this effect in social work practice.
12
Able to evaluate and feed-back during planned changing process.
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
40
Rate of Final Exam to Success
60
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
2
28
Guided Problem Solving
0
0
0
Resolution of Homework Problems and Submission as a Report
0
0
0
Term Project
4
5
20
Presentation of Project / Seminar
0
0
0
Quiz
0
0
0
Midterm Exam
2
20
40
General Exam
2
20
40
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
128
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(128/30)
4
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
INTRODUCTION to ALGORITHM with PYTHON
-
Fall Semester
2+0
2
4
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
Short Cycle (Associate's Degree)
Course Type
Elective
Course Coordinator
Lect. Tayyar TEPE
Name of Lecturer(s)
Lect. Zafer AK
Assistant(s)
Aim
The aim of this course is to provide students with knowledge about basic algorithms and problem solving structures and to gain the ability to design algorithms using these basic structures and to perform these algorithms with the Python programming language when they encounter a problem.
Course Content
This course contains; Communication With The User: Data Exchange,Communication With The User: Data Exchange,Condition-Related Situations In Python,Condition-Related Situations In Python ,Loops In Python,Loops In Python,Lists In Python,Lists In Python,Bundles and dictionaries,Packages and dictionaries,Functions, Modules In Python,Functions, Modules In Python,Object-Oriented Programming-OOP (NTP),Object-Oriented Programming-OOP (NTP),Nesne Tabanlı Programlama - OOP (NTP) .
• Gaddis, T., “Starting Out with Python, 3rd Edition”, Pearson, (2015) • Punch, W.F. & Enbody, R., “The Practice of Computing Using Python, 2nd Edition”, Pearson, (2013).
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Acquires knowledge of social work theory and practice fields.
2
Gains communication and professional interview skills
3
Obtains information about management and processes.
4
Understands professional ethics, principles and values.
5
Uses required computer software, communication technologies and a foreign language.
6
Acquires the skills of solving social problems with scientific data and evidence.
7
Improves skills for using the knowledge gained from different disciplines to solve complex social problems.
X
8
Able to cooperate with other disciplines and make teamwork.
9
Gains ability for self-development in his area to follow actual info and developments, to trace and evaluate the state of the projects for his goals.
10
Capable to practice social work and train different client groups.
11
Learns the effects of the social and cultural environment on human behavior and considers this effect in social work practice.
12
Able to evaluate and feed-back during planned changing process.
