Fall 2022 Term 1 Project - Apple Stock Price Forecasting

Project Details:

Term project: Final Presentation and Write-Up The term project will consist of a final presentation and a write-up and it will be a term long group effort (unless you decided to work individually on the assignments). It will contribute significantly to the learning experience. Students will select a topic from the following list:

• Bayesian Learning
• Market Basket Analysis
• Markov Chains
• Probabilistic Decision Theory and Utility Functions
• Bayesian Networks
• Probabilistic Pricing of Stock Options
• Queueing Theory and Applications

The write-up and the presentation will focus on four main chapters: definition and relevance of the topic (and mathematical details if needed), an extensive literature review (what has been done), a detailed overview of application areas (where has it been applied), and potential directions for current/future work (very speculative and subjective). There is no minimum or maximum number of pages for the write-ups. You need to write as much as you need in conveying your results. Simply summarizing someone else’s work is not sufficient. You need to add your own spin to the arguments that are synthesized in a manner easy to follow for the reader. Please be very careful in including citations and quotes from other sources. The presentation needs to be designed to be delivered within 20-25 minutes. The presentation grade will be based on how well the slides are crafted, your individual presentation skills, and time management. I do not expect the presentation to include technical details. The presentation should be put together as if it is being delivered to a professional audience who is not technically savvy but interested in learning more about the topic. Please keep in mind that this is a term long project and requires a significant amount of work outside of the classroom.