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MATH1004J

Academic Year 2023/2024

Foundations for Financial Math (MATH1004J)

Subject:
Mathematics
College:
Science
School:
Mathematics & Statistics
Level:
1 (Introductory)
Credits:
5
Module Coordinator:
Dr Daniele Casazza
Trimester:
Spring
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades
Campus of Delivery:
BDIC(UCD) Beijing

Curricular information is subject to change.

This module is an introduction to the probability theory underlying modern financial mathematics, in particular the background necessary to understand the Black-Scholes formula for pricing call and put options.

About this Module

Learning Outcomes:

Students apply basic probability models, averages and expected values, and use conditional probabilities and conditional expectations. In case if time permits, students will be introduced to the calculations of simple option prices, call and put options, etc.

Student Effort Hours:
Student Effort Type Hours
Lectures

36

Tutorial

16

Specified Learning Activities

32

Autonomous Student Learning

32

Total

116


Approaches to Teaching and Learning:
Lectures, tutorials, enquiry and problem-based learning.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Continuous Assessment: Continuous assessment Throughout the Trimester n/a Alternative linear conversion grade scale 40% No

30

No
Examination: End of Trimester Exam Unspecified No Alternative linear conversion grade scale 40% No

70

No

Carry forward of passed components
No
 

Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Daniele Casazza Lecturer / Co-Lecturer
Dr Daniele Casazza Tutor
Ruhat Kabulantok Tutor