FINS3646 Toolkit for Finance - 2024

General Course Information

Course Code :  FINS3646

Year :  2024

Term :  Term 2

Teaching Period :  T2

Course Details & Outcomes

Course Description

This course provides an introduction to some of the computational tools and techniques

necessary to navigate through recent technological advances in the fnancial services industry.     Using a hands-on approach, you will learn how to write simple Python codes to solve a number of practical problems. Potential projects covered in the course include the collection of Internet-

based fnancial data, real-time analysis of arbitrage opportunities, implementation of event

studies, and asset pricing, along with related analytical methods. The concepts learned in this course will help you develop a Python toolkit, which can be extended to tackle more complex  problems in both traditional Finance and FinTech.

Course Aims

Toolkit for Financial Market Decisions (TFFMD) is intended for students of all backgrounds; no prior coding experience is required. TFFMD is part of the School of Banking and Finance's

FinTech (Financial Technology) series of courses, and it should provide useful background

knowledge for more advanced courses. TFFMD should also prove useful if you wish to pursue careers outside FinTech, as it teaches you more efcient ways to solve standard fnancial problems.

Relationship to Other Courses

Toolkit for Finance (TFF) is intended for students of all backgrounds; no prior coding experience is required. FINS3645 (Financial Market Data Design and Analysis) provides useful background   information on active areas in FinTech but is not a prerequisite for this course. TFF is part of the School of Banking and Finance's FinTech (Financial Technology) series of courses, and it should provide useful background knowledge for more advanced courses. TFF should also prove useful for students pursuing careers outside FinTech, teaching them more efcient ways to solve standard Financial problems.

Course Learning Outcomes

Learning and Teaching Technologies

Moodle - Learning Management System

Learning and Teaching in this course

Toolkit for Finance uses a hands-on, project-oriented teaching approach. Sessions will frst

introduce a high-level task in Finance. We will then discuss solutions to that problem, building intuition from non-automated solutions. The class then pivots to the key concepts of the day,  before fnally implementing a solution in Python.Toolkit for Finance is intended to help people studying Finance develop new skills. Such skills can help them learn alternate ways to

accomplish typical work-place tasks or do things that would not otherwise be possible. Such skills help people work efciently and develop long-term marketplace competitiveness.

Assessments

Assessment Structure

Assessment Details

Class Contribution and Weekly Quizzes

Assessment Overview

The weekly activities provide opportunities to students to practice weekly content discussed in each lecture.

Assesses: PLO1, PLO2, PLO3

Course Learning Outcomes

·   CLO1 : Develop a kit of common tools used in the fnancial markets that can be applied in a variety of real-world settings.

·   CLO2 : Implement alternative ways to collect, manipulate, and analyse data to answer questions related to market efciency.

·   CLO3 : Evaluate implications of technological advances on the current and future states of the fnancial services industry.

·   CLO5 : Collaborate in teams to fnd solutions to real-world problems in the fnance sector.

Detailed Assessment Description

Weight Assessment Name                Assessment Due Date / Timing 

25%            WeeklyOnline Coding Quizzes      Onoing, weeks 1-10

Submission notes

See Detailed assessment description

Assignment submission Turnitin type

This is not a Turnitin assignment

Individual Project

Assessment Overview

The projects evaluate student’s capability of using programming skills to solve practical problems individually.

Assesses: PLO1, PLO2, PLO3

BCom students: myBCom course points for PLO2

Course Learning Outcomes

  CLO1 : Develop a kit of common tools used in the fnancial markets that can be applied in a variety of real-world settings.

  CLO2 : Implement alternative ways to collect, manipulate, and analyse data to answer questions related to market efciency.

  CLO3 : Evaluate implications of technological advances on the current and future states of the fnancial services industry.

·   CLO4 : Translate abstract fnancial theories into usable tools for competing in the fnance workplace.

·   CLO5 : Collaborate in teams to fnd solutions to real-world problems in the fnance sector.

Detailed Assessment Description

Weight Assessment Name

      Assessment Due Date / Timing

30%          IndividualProject                  Week 7

BCom students: myBCom course points for PLO2

Assignment submission Turnitin type

This is not a Turnitin assignment

Group Project

Assessment Overview

This project evaluates student’s capability in using programming skills to solve complex practical problems in a team environment.

Assesses: PLO1, PLO2, PLO3, PLO4

BCom students: myBCom course points for PLO4

Course Learning Outcomes

  CLO1 : Develop a kit of common tools used in the fnancial markets that can be applied in a variety of real-world settings.

  CLO2 : Implement alternative ways to collect, manipulate, and analyse data to answer questions related to market efciency.

  CLO3 : Evaluate implications of technological advances on the current and future states of the fnancial services industry.

  CLO4 : Translate abstract fnancial theories into usable tools for competing in the fnance workplace.

  CLO5 : Collaborate in teams to fnd solutions to real-world problems in the fnance sector.

Detailed Assessment Description

Weight Assessment Name                Assessment Due Date / Timing

5%           Peer review                                    Week 10

BCom students: myBCom course points for PLO4

Assignment submission Turnitin type

This is not a Turnitin assignment

General Assessment Information

Grading Basis

Standard

Requirements to pass course

In order to pass this course students must:

• Achieve a composite mark of at least 50 out of 100

• Engage actively in course learning activities and attempt all assessment requirements

• Meet any additional requirements specifed in the assessment details

• Meet the specifed attendance requirements of the course (see Schedule section)