Data science for software engineering basics. Role of data science in various phases of the software development lifecycle. Research fundamentals (how to read/write/review a research paper). Research methods for software engineering. Mining data from online software repositories. Developer and team productivity. Expert recommendation. Survey and project proposal presentations. Application of graph-based metrics and algorithms. Ground truth data in software engineering. Process smells, AI-assisted code generation.
İlk dosyayı sen ekleyebilirsin — notlar, geçmiş finaller, çözümler, cheat-sheet, ne varsa. Drive linki / PDF / ZIP / fotoğraf, hepsi olur.
Şu an: mail at, ben düzenleyip yayına alayım. Form/upload UX yakında geliyor (Kimya tasarlıyor).
Course Learning Outcomes: Course Learning Outcome Assessment
Data Science for Software Engineering Overview Role of Data Science in various phases of the software development lifecycle Research Fundamentals (how to read/write/review a research paper) Research Methods for Software Engineering Mining data from online software repositories Developer and Team Productivity Expert Recommendation Survey and Project proposal presentations Application of Graph-based metrics and algorithms Ground Truth Data in Software Engineering Process Smells Midterm AI-Assisted Code Generation Project Final Presentations ECTS - Workload Table: Activities Number Hours Workload Total Workload: 0 Total Workload / 30: 0 / 30 0 ECTS Credits of the Course: 5 Type of Course: Lecture - Project Course Material: Lecture Notes - Slides Teaching Methods: Lecturing - Presentations - Brainstorming - Role-play - Discussion