The aim of this course is to teach how analytics can be combined with data and programming to solve real-life business problems including but not limited to inventory management, resource planning, credit risk management, cryptocurrency and forex trading, financial portfolio optimization, arbitrage, initial coin offerings (ICO), customer segmentation and pricing. In general, this course provides an understanding of how various analytics methodologies can be applied to operations management, revenue management, finance and marketing functions of businesses. This is the only course at Bilkent University combining business decision-making with data, programming, and optimization. Our aim is not to teach students basic optimization, forecasting, and machine learning techniques. We expect that enrolling students are either familiar with those concepts or willing to build a background on them by self-study. We will provide self-study material on those methodologies whenever it is necessary.
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).
| Dönem | Course CPA | |
|---|---|---|
| 2024-2025 Spring | 3.36 | 1 sec · 60 öğr |
| 2023-2024 Fall | 2.75 | 1 sec · 43 öğr |
| 2023-2024 Spring | 3.15 | 1 sec · 20 öğr |
| 2022-2023 Fall | 3.21 | 1 sec · 25 öğr |
| 2022-2023 Spring | 3.10 | 1 sec · 32 öğr |
| 2021-2022 Fall | 2.74 | 1 sec · 31 öğr |
| 2021-2022 Spring | 3.32 | 1 sec · 25 öğr |
Aggregate course GPA — Bilkent STARS'tan public data. Hoca-bazlı per-section detayı için STARS evaluation report →. Öğrenci anket cevapları KVKK kapsamında defter'de tutulmaz.
Course Learning Outcomes: Course Learning Outcome Assessment
ECTS - Workload Table: Activities Number Hours Workload Course hours 42 1 42 Preparation for Quiz 3 6 18 Homework 3 8 24 Presentation (including preparation) 1 6 6 Midterm exam 1 2 2 Quiz 3 1 3 Preparation for Midterm exam 1 24 24 Project (including preparation and presentation if applicable) 1 24 24 Total Workload: 143 Total Workload / 30: 143 / 30 4.77 ECTS Credits of the Course: 5