Python Programming Course:
Week 1-2 (Oct 1-12): Introduction to Python Programming
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Basic syntax and data types
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Functions and control flow
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Working with files and directories
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Introduction to algorithms and Big O notation
Week 3-4 (Oct 15-26): Data Structures
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Lists, tuples, and sets
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Dictionaries and hashmaps
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Stacks and queues
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Trees and graphs
Week 5-6 (Oct 29-Nov 9): BOIN Dose Escalation Program
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Understanding the BOIN algorithm
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Implementing the algorithm in Python
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Testing and debugging the program
Week 7-8 (Nov 12-23): Sample Size/Power Calculation Program
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Understanding sample size and power calculations
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Implementing the calculations in Python
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Testing and debugging the program
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No classes on Thursday, Nov 23 (Thanksgiving)
Week 9-10 (Nov 26-Dec 7): Survival Analysis/Cox Proportional Hazards Program
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Understanding survival analysis and the Cox proportional hazards model
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Implementing the model in Python
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Testing and debugging the program
Week 11 (Dec 10-14): Efficacy Signal Detection and Bayesian Futility/Toxicity Programs
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Understanding the concepts of efficacy signal detection and Bayesian futility/toxicity
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Implementing the programs in Python to detect efficacy signals and assess futility/toxicity using Bayesian methods
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Testing and debugging the programs
Week 12 (Dec 17-21): RECIST v1.1 Program and Final Project
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Understanding the RECIST v1.1 criteria for measuring tumor response
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Implementing the program in Python to calculate the tumor size changes and overall response according to the criteria
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Enhancing the RECIST v1.1 program to handle multiple lesions and complex scenarios
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Testing and debugging the program
