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ECON 449

Data Science with Economic Applications

ECON 449 is about translating economic questions into something a machine learning model can actually answer, picking the right method for the problem, not just running every algorithm you know. You'll move through supervised and unsupervised techniques in Python, work through lab sessions on fiscal-policy problems, hear from industry guest speakers, and build a group project that ties the methods together on a real economics question. It's a practical capstone-style elective for econ students who want to leave with applied data skills rather than just econometric theory, sitting at the intersection of the department's quantitative track and what firms and central banks are actually hiring for.

Kredi3ECTS5FakülteFaculty of Economics, Administrative, and Social SciencesBölümEconomicsKoordinatörTalat Şenocak

Ön koşulCS 125 ve ECON 301

→ STARS müfredatı (resmi syllabus)

Haftalık müfredat 14 hafta

Hafta 114–20 Eyl

Data science nedir, ekonomide nerede kullanılır

Applications of data science in Economics: What is data science? Which fields of Economics can use data science?

data scienceEconomics

Hafta 221–27 Eyl

Ekonomide data science kullanım alanları

Applications of data science in Economics: What are the most popular use cases where data science is applied in Economics?

data scienceEconomicsuse cases

Hafta 328 Eyl – 4 Eki

Data analytics framework ve data science yöntemleri

Methods: Data analytics framework and data science methods

data analytics frameworkdata science methods

Hafta 45–11 Eki

Sektör profesyonelleriyle konuk konuşmacı tartışması

Guest speakers: Discussion with industry professionals

konuk konuşmacısektör profesyonelleritartışma

Hafta 512–18 Eki

Supervised learning yöntemleri

Methods: Supervised learning

supervised learning

Hafta 619–25 Eki

Fiscal Economics'te supervised learning lab (I/II)

Practice: Lab sessions to solve a Fiscal Economics problem using supervised learning methods (I/II)

supervised learningfiscal economicslab session

Hafta 726 Eki – 1 Kas

Fiscal Economics'te supervised learning lab (II/II)

Practice: Lab sessions to solve a Fiscal Economics problem using supervised learning methods (II/II)

supervised learningfiscal economicslab session

Hafta 82–8 Kas

Unsupervised learning yöntemleri

Methods: Unsupervised learning

unsupervised learning

Hafta 99–15 Kas

Fiscal Economics'te unsupervised learning lab (I/II)

Practice: Lab sessions to solve a Fiscal Economics problem using unsupervised learning methods (I/II)

unsupervised learningfiscal economicslab session

Hafta 1016–22 Kas

Fiscal Economics'te unsupervised learning lab (II/II)

Practice: Lab sessions to solve a Fiscal Economics problem using unsupervised learning methods (II/II)

unsupervised learningfiscal economicslab session

Hafta 1123–29 Kas

Sağlam bir data science model kurma

Methods: Building a robust data science model

data science modelmodel buildingrobustness

Hafta 1230 Kas – 6 Ara

Maliye politikasında data science uygulamaları

Case discussions: Applications of data science in Fiscal Policy

data sciencefiscal policyvaka tartışması

Hafta 137–13 Ara

Para politikasında data science uygulamaları

Case discussions: Applications of data science in Monetary Policy

data sciencemonetary policyvaka tartışması

Hafta 1414–20 Ara

Sektör profesyonelleriyle tartışma (devam)

Guest speakers: Discussion with industry professionals continues

konuk konuşmacısektör profesyonelleritartışma

Değerlendirme 20% · 1 adım

20%

In-class participation Case study discussions 20%

Önerilen kaynaklar 1 kitap

📖

Önerilen

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Foster Provost, Tom Fawcett

2013 / 1 · O'Reilly Media

Bu dersi alınca · 7 öğrenme çıktısı

• Have advanced level of fundamental conceptual knowledge so as to consider its reflections in practice.Case study discussions, Midterm Quiz
• Analyse theoretical knowledge and evaluate its reflections in practice.Case study discussions, Term project
• Solve a field-related problem both as a team member and as an independent individualTerm project
• Use field related knowledge to make decisions, implement and apply them.Term project
• Communicate field related knowledge and skills in writing and speakingCase study discussions, Midterm Quiz Term project
• Have the capacity to share knowledge and learn together.Case study discussions, Term project
• Act according to social, cultural, scientific, and ethical values during the (gathering and analysis of data, interpretation and dissemination of results) process associated with the formation of field related knowledge and expertise.Term project

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

Ders notları · henüz yok

ECON 449 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 · 42 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.

Staff

Sal13:30–15:20Cum08:30–10:20

kişilik

programıma ekle → CGPA'ya ekle kayıt tarihleri

Her dönem açılıyorSon yıllarda 2 güz ve 2 bahar döneminde açılmış. Kaçırırsan bir sonraki dönem tekrar bulabilirsin.

⚠️ FZ engelleyen şartlar

Course Learning Outcomes: Course Learning Outcome Assessment • Have advanced level of fundamental conceptual knowledge so as to consider its reflections in practice. Midterm Quiz Case study discussions • Analyse theoretical knowledge and evaluate its reflections in practice. Term project Case study discussions • Solve a field-related problem both as a team member and as an independent individual Term project • Use field related knowledge to make decisions, implement and apply them. Term project

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