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bb-ai.net Brandon’s Teaching Materials This is the top level index file for teaching.bb-ai.net • Practical Programming for Data Science • Knowledge Representation • Student Projects 

Coursework for COMP5450M Knowledge Representation and Reasoning Prolog Knowledge Base & Winograd Challenge Due 10am, Friday 6th December, 2019 This coursework counts for 25% of the total marks for this module. You may do this coursework in pairs. Part A: Creating Prolog Knowledge Base For this part of the assignment you will create a Knowledge

Lab 5: Subroutines Part A: Due Wednesday, 4 December 2019, 11:59 PMPart B: Due Wednesday, 11 December 2019, 11:59 PM Minimum Submission Requirements Ensure that your Lab5 folder contains the following files note the capitalization convention: Lab5.asm README.txt Completed Google Form Commit and push your repository Note: you are not required to submit a block

Class Project FINM32500 Matching engine Description A trade matching engine is the core software and hardware component of an electronic exchange. It matches up bids and offers to complete trades. Matching engines use one or several algorithms to allocate trades among competing bids and offers at the same price. The most commonly used algorithm is

Project Guideline MC1001 / 2002 Overview ■ 3 – 5 members per group ■ Projects 1. Cloud application 2. Mobile application ■ Presentation 1. Cloud application 2. Mobile application 3. Demo ■ Case study ■ Peer evaluation 2 Topic ■ Create an integrated system for learning one language – A language of your choice (e.g.

Class Project FINM32500 Matching engine Description A trade matching engine is the core software and hardware component of an electronic exchange. It matches up bids and offers to complete trades. Matching engines use one or several algorithms to allocate trades among competing bids and offers at the same price. The most commonly used algorithm is

Project Guideline MC1001 / 2002 Overview ■ 3 – 5 members per group ■ Projects 1. Cloud application 2. Mobile application ■ Presentation 1. Cloud application 2. Mobile application 3. Demo ■ Case study ■ Peer evaluation 2 Topic ■ Create an integrated system for learning one language – A language of your choice (e.g.

workshop project August 10, 2019 The goal is to implement algorithms for (sparse) linear regression and to conduct experiments The implementations and experiments should be conducted using python in a jupyter notebook. Every function you implement should have a doc strings that describes the role of the function arguments, the effect of the function, and

Basic Components for Final Project: ¡ö Use JavaFX for GUI ¡ö Include class diagram of your project in the submission ¡ö There must be use of inheritance, encapsulation and interfaces ¡ö There must be at least one design pattern ¡ö Code must be well commented ¡ö Include screenshots of various tests done by developer ¡ö

CS1026: Assignment 4: Country Classes Due: Thursday, December 5th 2019 at 9:00pm Weight: 12% Learning Outcomes: By completing this assignment, you will gain skills relating to  Strings and text files  Writing and using your own classes  Testing code  Using complex data structures (i.e., lists, sets and dictionaries) Data files are very