Associate Degree Programs
Vocational School of Technical Sciences
Computer Programming
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Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
TBP0020 2/2/0 DE 4
Course Goals
The aim of this course is to provide students with an introduction to the subject of artificial intelligence, including the basic techniques and mechanisms of artificial intelligence. It is aimed that students who complete this course will understand the historical and conceptual development of artificial intelligence, the purposes of artificial intelligence and the methods used to achieve these purposes, the social and economic role of artificial intelligence, and determine where artificial intelligence techniques can be used by analyzing problems and be able to use artificial intelligence techniques.
Prerequisite(s) Basic Python Knowledge
Corequisite(s) Course Code Course Name…
Special Requisite(s) The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s) Lecturer Muharrem Altunisik
Course Assistant(s)
Schedule Wednesday, 09.00-12.50, Ataköy Campus 2nd Floor PC LAB (2 ENDLAB)
Office Hour(s) Thursday, 11.00-12.50, Incirli Campus 1st Floor A Corridor Room 09 (1A09)
Teaching Methods and Techniques - Hybrid, Applied explanation
Principle Sources - Lecture note documents shared after the lesson and applications made during the lesson
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Writing a Bot with Python Hybrid Lecture and Application
2. Week Selenium Bot Hybrid Lecture and Application
3. Week Data Analysis - Numpy Hybrid Lecture and Application
4. Week Data Analysis - Pandas Hybrid Lecture and Application
5. Week Data Analysis - Pandas Hybrid Lecture and Application
6. Week Data Visualization - Matplotlib Hybrid Lecture and Application
7. Week Midterm Week Midterm Week
8. Week Data Visualization - Matplotlib Hybrid Lecture and Application
9. Week SQL Database in Python - MySql/SQLite Hybrid Lecture and Application
10. Week SQL Database in Python - MySql/SQLite Hybrid Lecture and Application
11. Week SQL Database in Python - MySql/SQLite Hybrid Lecture and Application
12. Week NoSQL Database Hybrid Lecture and Application
13. Week Desktop Application Hybrid Lecture and Application
14. Week Finals Week Finals Week
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 20
Homework / Term Projects / Presentations 1 40
Final Exam 1 40


Program Outcomes
PO-1Effectively identifying collecting and evaluating the data required for the Computer Programming field and using theoretical knowledge for creating applications.
PO-2Being equipped with basics of computer science.
PO-3Possessing the knowledge of all necessary software and equipment in the profession.
PO-4Emphasizing team work, contributing to the group and operating with team chemistry.
PO-5Effectively expressing and sharing the completed work with project group and teammates.
PO-6Objectively evaluating the performance of employees under his/her supervision and providing objective information to the management.
PO-7Demonstrating problem solving skills and the education he/she obtained at the program.
PO-8Possessing the computer programming knowledge built on skills, information and competencies provided by secondary education and supperted by higher education course materials, and demonstrating the understanding of concepts in the field of computer programming.
PO-9Acquiring the analytical thinking skills required in the field of computer programming, and creating and running programs in accordance with this analytical perspective.
PO-10Complying with ethical values of the field of Computer Programming and carrying social responsibility.
PO-11Developing sufficent foreign language skills to conduct the work and follow the global developments at the best level.
PO-12Empasizing communication and using Turkish accurately in this communication.
PO-13Ensuring the security, environment and health awareness at personal level and among his/her employees.
PO-14Following technological innovations in software and hardware after graduation and sustaining continuous personal development.
PO-15Claiming responsibility at his/her workplace, organizing work flow with employees and operating according to high quality work standards.
Learning Outcomes
LO-1Learning Artificial Intelligence concepts
LO-2Understanding application areas
LO-3Learning about relevant libraries
LO-4Performing Data Analysis operations
LO-5Veri Görselleştirilmesinin yapılması
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15
LO 1
LO 2
LO 3
LO 4
LO 5