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THM 302

Human Resources Analytics and Applications

THM 302 treats people management as a measurement problem: instead of treating HR as soft intuition, it asks how you'd actually decide whom to hire, how to pay them, and whether a training program worked using data, metrics, and the legal constraints (both Turkish Labor Law and international EEO frameworks) that bound those decisions. Most of the grade rides on a semester project plus two case studies, so you spend the term doing job analyses, building scorecards, validating selection tests, and arguing recruitment or compensation choices from evidence rather than from a textbook definition. It sits at the intersection of the tourism/management core and the analytics track, the HRM concepts give you the vocabulary, and the analytics layer (HRIS, predictive models, dashboards) is what makes the course feel current rather than a standard intro-to-HR.

Kredi3ECTS5BölümTourism and Hotel ManagementKoordinatörAyşe Collins

Haftalık müfredat 14 hafta

Hafta 114–20 Eyl
İnsan kaynakları yönetimine giriş
Introduction to Human Resources Management. The changing context of Human Resources Management.
Human Resources Managementdeğişen HRM bağlamı
Hafta 221–27 Eyl
Gig economy, HR yetkinlikleri ve veri
Global Trends, Emergence of the gig economy. HR Competencies. Evidence-based management. Quantitative and qualitative data. Big data versus little data. Legal and ethical issues. HRM Competencies.
gig economyevidence-based managementbig data versus little dataHRM competencies
Hafta 328 Eyl – 4 Eki
HR Analytics Çağında Çeşitlilik ve Kapsayıcılık
Inclusions, Diversity in the age of HR Analytics, Affirmative action plans Organizations legal defenses to EEO. Employee rights. Disability rights. Big data as a pathway to increasing diversity and inclusion Labor Laws and Ethics. Legal implications of Big Data Opening case: Diversity challenges in the tech industry: The case of Pinterest Spotlight on data and analytics: Diversity initiatives at Kimberly-Clark
HR Analyticsaffirmative actionEEO ve labor lawsbig data
Hafta 45–11 Eki
Türk iş hukuku ve uluslararası EEO karşılaştırması
Turkish Labor Law and comparison of some articles with international EEO laws. (Labor Law Quiz)
Türk iş hukukuEEO lawmadde karşılaştırmasıLabor Law Quiz
Hafta 512–18 Eki
İş analizi ve competency modeling
Job Analysis and Occupational Information Network (O’NET). Competency modeling, Job Crafting, Building global competencies.
job analysisO*NETcompetency modelingjob crafting
Hafta 619–25 Eki
Workforce planning metrics ve seçim ölçütleri
Metrics and measures for workforce planning. Evaluating recruitment effectiveness Data driven criteria for choosing selection procedures. Reliability, validly and legal issues.
workforce planningrecruitment effectivenessselection proceduresreliability ve validity
Hafta 726 Eki – 1 Kas
İK Politikası, Stratejisi ve Performansı
Human Resource policy strategy and performance, swot, HR Audit
human resource policySWOTHR auditperformans
Hafta 82–8 Kas
Ara Sınav
Midterm
Hafta 99–15 Kas
Personel seçim testleri ve HR Analytics
Choosing relevant employee selection tests, types of interviews. International testing companies. Using employee selection tests. Legal Issues. Applicant and employees data secure. Data driven Decision making and HR Analytics. Aligning Analytics with strategy. HR Analytics and Scientific process. Conceptualizing organization performance: Software applications : The balanced scorecard, HR Scorecard.. System Architectures: Traditional Tiered architectures, Cloud-based architectures. Opening Case: Shifting to a Data-driven organization with HRIS: The case of Nissan
employee selection testsHR Analyticsbalanced scorecardHRIS
Hafta 1016–22 Kas
Performance appraisal ve performans yönetim sistemleri
Performance appraisal as a measurement tool. Performance Management Systems. Legal Issues. Software applications and usage.
performance appraisalperformance management systemslegal issuessoftware applications
Hafta 1123–29 Kas
Performans, ücretlendirme ve işten çıkarma
Linking performance rating to compensation. Using predictive Analytics to understand performance. Cost of dismissal. Legal Issues.
performance ratingcompensationpredictive analyticscost of dismissal
Hafta 1230 Kas – 6 Ara
Ücret yapısı ve pay for performance
Developing pay structure. Pay and Human Resource Information systems. Integrating internal and external equity Evaluating pay compression Using data to evaluate pat for Performance programs.
pay structureinternal-external equitypay compressionHR information systems
Hafta 137–13 Ara
Yan haklar programı ve data visualization
Deciding benefits programs. Legal Issues. Using data visualization to communicate value of benefits
benefits programslegal issuesdata visualization
Hafta 1414–20 Ara
Çalışan ilişkileri ve toplu pazarlık
Employee and labor relations, Unionization. Collective bargaining Global legal issues.
labor relationsunionizationcollective bargainingglobal legal issues

Değerlendirme 100% · 5 adım

25%
30%
15%
10%
20%
Midterm midterm 25%
Final Final 30%
Homework Labor Law 15%
Case study cases 10%
Project individual and group work 20%
en büyük tek kalem %30 · sınav ağırlığı %55 nasıl hesaplanıyor

Önerilen kaynaklar 2 kitap

📕
Zorunlu
Human Resource Management Global Edition
Gary Dessler
16th or 17th edition · SAGE
📕
Zorunlu
Turkish Labor Law

Bu dersi alınca · 4 öğrenme çıktısı

Bilkent'in resmî syllabus'ünden. Sağdaki etiket o çıktının hangi değerlendirmeyle ölçüldüğünü söylüyor.

🤖 GenAI politikası

The course includes unannounced in-class “pop-up” tasks completed only during class time; absence results in zero for that task (no make-ups). AI tools are allowed only for grammar, spelling, and punctuation corrections.

Ders notları · henüz yok

THM 302 için defter ekibi henüz not yazmadı.

İlk dosyayı sen atarsan: not, slayt, geçmiş sınav, çözüm, cheat-sheet, ne varsa. defter ekibi öğrenci paylaşımlarından bu dersin notlarını yazar. Drive linki / PDF / ZIP, hepsi olur.

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Bu dönem · 2026-2027 Güz · 1 şube · 15 kontenjan

haftada 3 saat ders

Haftalık ızgarada 4 saat görünüyor, kayıt sistemi dersi 3 saat yazıyor. Aradaki 1 saat yedek saat: Bilkent programlarında derse genelde bir fazla saat ayrılır ve çoğu zaman kullanılmaz. Hangisinin düşeceği dönem başlayınca belli olur.

1
Ayşe Collins
Sal15:30–17:20RB-202Cum10:30–12:20RB-202
15
kişilik
Genelde sadece güzSon yıllarda 4 kez güz döneminde açılmış, 1 kez bahar. Bu dönem alamazsan bir sonraki güzü beklemen gerekebilir.

⚠️ FZ engelleyen şartlar

Course Learning Outcomes: Course Learning Outcome Assessment Demonstrate the understanding of basic HR functions in effective use of human capital. midterm Final Labor Law cases individual and group work Showing the ability to connect HR function and analytics through HR metrics and measures midterm Final Labor Law cases individual and group work Demonstrate the knowledge and understanding of international and national legal requirements and their applications in business life midterm Final Labo

Hocalar 1 bu dönem · 0 geçmiş

Bu dönem (2026-2027 Fall) · 1 section
Ayşe Collins