Anadolu Info Package Anadolu Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Turkish
    • Turkish Turkish
    • English English
Profile of the Programme Specific Admission Requirements Qualification Requirements and Regulations Recognition of Prior Learning Educational Staff Programme Director & ECTS Coord. Field Qualifications Key Learning Outcomes Course Structure Diagram with Credits Matrix of Program Outcomes&Field Qualifications Matrix of Course& Program Qualifications Examination Regulations, Assessment and Grading Graduation Requirements Access to Further Studies Occupational Profiles of Graduates
  • Vocational School of Information Technologies
  • Department of Statistics
  • Program in Big Data Analyst
  • Course Structure Diagram with Credits
  • Foundations of Programming
  • Description
  • Description
  • Content
  • Learning Outcomes
  • Learning Activities and Teaching Methods
  • Course's Contribution to Prog.
  • Assessment Methods

Course Title Code Compulsory/Elective Laboratory + Practice ECTS
Foundations of Programming BVA101 I. SEMESTER 3+0 3.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) PROF. DR. ALPER TOLGA KUMTEPE
Mode of Delivery Face to Face
Prerequisites There are no prerequisites.
Courses Recomended It is not available.
Recommended Reading List It will be announced later.
Assessment methods and criteria 2 Quizzes, 1 Midterm Exam, 1 Final Exam
Work Placement It is not available.
Catalog Content This course aims to provide fundamental programming skills in the field of big data analytics. Concepts such as data structures, data processing, basic algorithms, and data analysis are taught using the Python language. Students gain both theoretical knowledge and practical experience. The course aims to provide basic programming knowledge in Python, teach data types, data structures, and basic algorithms, and develop the programming logic necessary for big data analysis. The goal is not only to teach syntax but also to teach analytical thinking, how to work with data, and how to code it correctly.

  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations