Scheduling + Python

download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

Class Scheduling + Genetic Algorithm + Python

• Python + Genetic Algorithm + Class Scheduling (Prototype Project 01)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • given course scheduling supplied data, app. uses genetic algorithm in order to find schedule with 0 conflicts

  • potential conflicts are:

    • instructor assigned to teach more than one course at same time

    • room occupied by more than one course at same time

    • course assigned to be taught in a room with a seating capacity that is smaller than the course max number of students

  • easy to add or remove conflicts

• Genetic Algorithm + Python + SQLite DB + Class Scheduling (Prototype Prj 02)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • refactor code from Prototype Project 01 so that data is now coming from an SQLite DB

• Genetic Algorithm + Python + Class Scheduling (Prototype Project 03)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Refactor code from Class Scheduling Application 02

  • add interactive command line functionality

  • add ability to run in either verbose or default mode

  • add handling of instructor availability

  • add display of schedule conflicts

  • test run w/ varied input data

• CS + GA + Student Scheduling + Python (Prototype Project 04)

  public version (demo only) | members-only version (demo, write, and test run)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Add Students scheduling (FT or PT)

  • what courses are already taken by each student

  • Make sure that prerequisites for each course scheduled are satisfied

  • Add ability to schedule multiple sessions of same course

  • Much better conflicts reporting

• CS + GA + P2P + Python (Prototype Project 05)

  public version (demo only) | members-only version (demo, write, and test run)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Add the new feature of app. running in P2P mode

• CS + GA + Python (Prototype Project 06)

  public version (demo only) | members-only version (demo, write, and test run)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Add ability to Enable/Disable various scheduling features @ runtime

    (e.g. Student Scheduling, Instructor Availability, & Student Availability)

  • Add ability to run in either Standalone or P2P mode @ runtime

  • Much better Testing & Logging Data

• CS+GA+Python+Credit Hours+Conflicting Meeting Times (07)

  public version (demo only) | members-only version (demo, write, and test run)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Add ability to handle meeting times w/ varied credit hours

  • Add ability to handle conflicting meeting times

  • Only schedule courses in associated dept building

  • Handle full & part time students class load (max # of credit hours)

• CS + GA + Python + Store Results (Prototype Project 08)

  public version (demo only) | members-only version (demo, write, and test run)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Refactor code from previous version

  • Add ability to store scheduling results in database

  • Add ability to retrieve & display db stored schedules

Conference/Workshops Scheduling + Genetic Algorithm + Python

• Conference Scheduling + Genetic Algorithm + Python (Prototype Project 01)

  • demo the application

  • code the application

    • scheduler.py contains app. logic

    • create_db_01.py

    • creates and populates database

  • go over various tables in database

  • create and populate

    • database by running create_db_01.py

    • classes representing application domain

  • code Workshop class, Speaker class, Room class, SessionTime class, Session class, DBMgr class

  • test run displaying input data

  • code Conflict class, Schedule class, Population class, DisplayMgr class

  • test run finding fittest schedule in generation 0

  • code GeneticAlgorithm class

  • finish coding find_fittest_schedule function

  • test run finished application

• Conference Scheduling + Genetic Algorithm + Python (Prototype Project 02)

  • Download source code @ https://sites.fastspring.com/prototypeprj/instant/ai

  • Refactor code from Workshop Scheduling Application 01

  • add interactive command line functionality

  • add ability to run in either verbose or default mode

  • test run w/ varied input data