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MAN 456

Business Analytics

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.

Credit3
ECTS5
BölümManagement
FacultyFaculty of Business Administration
PrereqECON 222 and MAN 256

Hocalar 1 bu dönem · 1 geçmiş

Bu dönem (2025-2026 Spring) · 1 section
Fehmi Tanrısever
Geçmişte ders veren (1 kişi)
Yasemin Limon

→ STARS müfredatı / syllabus

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↑ konuya MAN 456 yaz

Geçmiş GPA dağılımı 7 dönem · ort. 3.09

DönemCourse 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.

Müfredat detayı STARS syllabus

⚠️ FZ engelleyen şartlar

Course Learning Outcomes: Course Learning Outcome Assessment

📅 Haftalık müfredat

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