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IE 432
Stochastic Models in Finance

Faculty Faculty of Engineering and Natural Sciences
Semester Spring 2025-2026
Course IE 432 - Stochastic Models in Finance
Time/Place
Time
Week Day
Place
Date
14:40-15:30
Tue
FENS-G035
Feb 16-May 22, 2026
09:40-11:30
Thu
FASS-1101
Feb 16-May 22, 2026
Level of course Undergraduate
Course Credits SU Credit:3, ECTS:6, Basic:2, Engineering:4
Prerequisites IE 303
Corequisites -
Course Type Lecture

Instructor(s) Information

Semih Onur Sezer

Course Information

Catalog Course Description
The objective of the course is to introduce basic stochastic models and techniques used in mathematical finance. The first half of the course is dedicated to discrete-time models, the other half to their continuous-time counterparts. The topics covered include pricing and hedging in binomial models and Black-Sholes models, fundamental theorems of asset pricing, martingales, Brownian motion, stochastic integration, Itô rule. Depending on the progress in class, we also briefly discuss SDE?s as they appear in continuous-time models.
Course Learning Outcomes:
1. Upon completing this course, students should be able to: Price different instruments in both discrete time binomial models and continuous time Black-Scholes model
2. Find hedging strategies in different pricing problems
3. Compute expectations related to random walk and Brownian motion
4. Apply Ito rule and use it in different problems
Course Objective
- To introduce the basic stochastic models and techniques used in mathematical finance
- To teach pricing and hedging in binomial models and Black-Sholes models
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Course Materials

Resources:
See the syllabus file
Technology Requirements:

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