IE 431 Introduction to Financial EngineeringMEF UniversityDegree Programs Computer EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Computer Engineering
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code IE 431
Course Title in English Introduction to Financial Engineering
Course Title in Turkish Finans Mühendisliğine Giriş
Language of Instruction EN
Type of Course Flipped Classroom,Lecture
Level of Course Introductory
Semester Spring,Fall
Contact Hours per Week
Lecture: 3 Recitation: none Lab: none Other: none
Estimated Student Workload 148 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites MATH 104 - Mathematics for Social Sciences II | MATH 116 - Calculus II
Expected Prior Knowledge Basic quantitative skills
Co-requisites None
Registration Restrictions none
Overall Educational Objective To learn what derivative securities are, how they are valued and how they can be used in both financial risk management and in trading.
Course Description The aim of this course is to provide the students with a comprehensive introduction to derivative securities and their application in financial engineering. The course will cover; what forwards, futures, options and swaps are; how they can be used as risk transferring/minimizing devices (hedging); how they can be used to create additional value to firms (trading); and how they are valued (pricing and marking to market). Cost of carry valuation model for forwards/futures, binomial pricing for options, dynamic delta hedging, the Black Scholes formula, Greek letters (delta, gamma, vega, theta) and value at risk (VaR) will also be introduced.
Course Description in Turkish Bu dersin amacı, öğrencilere, türev ürünlerin ne olduğu ve bu ürünlerin finansal mühendislik alanında nasıl kullanıldığını göstermektir. Ders; vadeli alım/satım sözleşmelerinin (forwards ve futures), opsiyonların ve para takas sözleşmelerinin (swap) tanıtımını; bu ürünlerin finansal riskleri transfer etmek veya azaltmak için nasıl kullanılabileceğini; bu ürünlerin ilave değer yaratmak maksadıyla alım satım işlemlerinde nasıl kullanılabileceğini (trading); ve bu ürünlerin nasıl değerleneceğini (pricing and marking to market) kapsamaktadır. Forward ve futures sözleşmeleri için taşıma maliyeti değerleme yöntemi, opsiyonlar için binom fiyatlama, dinamik delta hedging, Black Scholes formülleri, Greek harfleri (delta, gamma, vega, theta) ve riske maruz değer (VaR) konuları da işlenecektir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) describe the nature of and apply valuation methods for forwards, futures and swaps;
2) explain how to manage interest rate and foreign exchange risk via forwards, futures and swaps;
3) identify the characteristics and uses of options;
4) apply option strategies for trading and risk management purposes;
5) identify and analyze the influence of determinants of the value of options;
6) construct Black Scholes and Binomial option pricing methods;
7) apply delta hedging and value at risk concepts.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics S Exam,HW,Participation
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors N
3) An ability to communicate effectively with a range of audiences N
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts N
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives N
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions S Exam,HW,Participation
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. N
Prepared by and Date HANDE KÜÇÜKAYDIN , March 2024
Course Coordinator HANDE KÜÇÜKAYDIN
Semester Spring,Fall
Name of Instructor Öğr. Gör. AHMET AKÇA

Course Contents

Week Subject
1) Introduction to Derivatives – Chapter 1
2) Mechanics of Forwards and Futures – Chapters 2 and 5
3) Hedging Strategies using Forwards and Futures – Chapter 3
4) Hedging Strategies using Forwards and Futures – Chapter 4
5) Hedging Strategies using Forwards and Futures – Chapter 6
6) Swaps – Chapter 7
7) Mechanics of Options – Chapter 10
8) Properties of Stock Options – Chapter 11
9) Trading Strategies involving Options – Chapter 12
10) Binomial Trees – Chapter 13
11) The Black Scholes Merton Model – Chapter 15
12) Greek Letters – Chapter 19
13) Volatility Smiles – Chapter 20
14) Value at Risk – Chapter 22
15) Final Exam/Project/Presentation period
16) Final Exam/Project/Presentation period
Required/Recommended ReadingsRequired: Fundamentals of Futures and Option Markets, John C. Hull, 9th Edition, Pearson Optional: Options, Futures and Other Derivatives, John C. Hull, 9th Edition, Pearson
Teaching MethodsLectures/contact hours using “flipped classroom” as an active learning technique
Homework and Projects Homeworks
Laboratory Worknone
Computer UseCompulsory to bring calculators to the classes and exams. Exchange of calculators are not allowed during exams. Optional to bring a notebook as MS Excel might be used during classes.
Other Activitiesnone
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 10
Quiz(zes) 4 % 15
Homework Assignments 5 % 20
Midterm(s) 1 % 25
Final Examination 1 % 30
TOTAL % 100
Course Administration akcaa@mef.edu.tr, ahmetakca@gmail.com

Instructor’s office and phone number: TBD
 office hours: Appointment by e-mail
 email address: akcaa@mef.edu.tr, ahmetakca@gmail.com Missing a quiz: Provided that proper documents of excuse are presented, each missed quiz by the student will be given a grade by taking the average of all of the other quizzes. No make-up will be given.
 Missing a project: Project deadlines are always extendable up to 24 hours, 10% of total attainable score will be deducted from late submissions Missing a midterm: Provided that proper documents of excuse are presented, each missed midterm by the student will be given the grade of the final exam. No make-up will be given. Missing a final: Faculty regulations.
 A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Academic dishonesty and plagiarism: YÖK Regulations

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 3 56
Homework Assignments 5 3 3 30
Quiz(zes) 4 3 1 16
Midterm(s) 1 20 3 23
Final Examination 1 20 3 23
Total Workload 148
Total Workload/25 5.9
ECTS 6