| 1 | Technological Literacy & Fundamental Computer Skills: Identify and describe basic computer system components (hardware, software, operating systems) Effectively utilize office applications (Word, Excel, PowerPoint) to create professional and academic documents |
| 2 | Programming & Data Analysis Competency: Demonstrate algorithmic thinking by solving basic programming problems using Python Process engineering data using analysis and visualization tools (Excel, Python-Pandas) |
| 3 | Information Access & Technology Trend Monitoring: Access reliable sources using academic databases (Google Scholar, IEEE Xplore, WOS) and search engine techniques Develop continuous learning habits by tracking technology trends (AI, cloud computing) |
| 4 | Digital Collaboration & Project Management: Manage team projects using collaboration tools (GitHub, Google Drive) Work effectively with cloud-based applications and open-source platforms (Overleaf, Colab) |
| 5 | Application of IT in Engineering Problem-Solving: Generate practical solutions for engineering calculations using tools like Excel and Python Acquire basic web design (HTML/CSS) and database management (SQL) skills |