Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1BIL101BİLİŞİM TEKNOLOJİLERİNE GİRİŞ1+2+02330.07.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Associate Degree
Department / Program Drone Technology and Operations
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to provide students with fundamental knowledge of computer and internet technologies, digital literacy, and digital transformation, to enable effective use of Microsoft Office applications (Word, Excel, and PowerPoint), and to develop the knowledge and skills required to use AI-supported digital tools ethically, efficiently, and professionally.
Course Content This course covers the development of computer and internet technologies, digital transformation, digital literacy, basic and advanced use of Microsoft Word, Excel, and PowerPoint applications, document preparation and formatting, data analysis and visualization, presentation design, generative AI-supported office applications, sustainable digital work practices, and micro-credentials.
Course Methods and Techniques Synchronous online lectures, question-and-answer sessions, live demonstrations (Word, Excel, and PowerPoint), screen-sharing-based practical instruction, discussions, individual assignments, AI-supported learning activities, and online presentations.
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Instructor Dr. Burcu TEKİN burcu.tekin@ankarabilim.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Office 2016 (Cenk İltir): Abaküs Yayınları
Course Notes Instructor-prepared course notes, Microsoft Office documentation, Microsoft Learn training materials, scientific articles, and reliable online educational resources will be used.

Course Category
Engineering %10
Social Sciences %10
Field %80

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 35
Quizzes 1 % 10
Assignment 1 % 10
Final examination 1 % 45
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 2 28
Hours for off-the-c.r.stud 14 2 28
Assignments 1 6 6
Mid-terms 1 13 13
Final examination 1 15 15
Total Work Load   Number of ECTS Credits 3 90

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Explains the concepts of computers, internet technologies, digital transformation, and digital literacy.
2 Creates documents, spreadsheets, and presentations using Microsoft Office applications; performs editing, formatting, data analysis, and data visualization tasks.
3 Uses artificial intelligence–supported digital tools in accordance with ethical principles for document preparation, data analysis, and presentation development.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 History of computers and the Internet, digital transformation, digital literacy and sustainable computing No pre-class preparation is required. Course notes, presentations
2 Word: Introduction, interface, ribbons and document operations Review the Microsoft Word interface. Microsoft Word Practice File
3 Word: Text editing, tables, SmartArt, cover page, images and AI-assisted document drafting Review text editing tools. Microsoft Word Practice File
4 Word: Formatting, page layout, accessible document design and sustainable document management Review document formatting features. Lecture Notes
5 Word: Advanced features, table of contents, macros, Microsoft Copilot and AI-assisted document creation Review table of contents and macros. Lecture Notes
6 Excel: Introduction and worksheet operations Review the Excel interface. Lecture notes
7 Excel: Spreadsheet operations, AI-supported data analysis and data cleaning Review spreadsheet concepts. Microsoft Excel Practice File
8 Midterm Exam
9 Excel: Table and worksheet formatting Review formatting tools. Lecture notes
10 Excel: Formulas Review basic Excel functions. Lecture notes
11 Excel: Formulas Review formula applications. Microsoft Excel Practice File
12 Excel: Charts and data visualization Review chart types. Lecture notes
13 PowerPoint: Interface, slide creation and editing Review the PowerPoint interface. Lecture Notes
14 PowerPoint: Visual elements, images, shapes and charts Review basic visual design principles. Microsoft PowerPoint Practice File
15 PowerPoint: Animations, transitions, advanced presentation techniques and introduction to micro-credential platforms Review presentation techniques and the concept of micro-credentials. Lecture notes
16 Final Examination

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16
C1 4 4 2 2 3 2 2 4 3
C2 4 4 3 4 2 2 3 2 2 3
C3 4 2 4 4 4 2 4 4 2 3 4 3 2 4 2

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant