Introduction to Computational Thinking (Fall 2020) (M-I-T)

• Working with images in Julia (M-I-T)
• First taste of abstraction with arrays (M-I-T)
• Basics of arrays in Julia (M-I-T)
• Convolutions in image processing (M-I-T)
• Seam carving (M-I-T)
• Arrays: Slices and views (M-I-T)
• Convolutions on GPUs (M-I-T)
• Image seam reminiscing (M-I-T)
• Convolutions in the real world (M-I-T)
• Seam carving live coding session (M-I-T)
• Structure (M-I-T)
• Defining new types (M-I-T)
• Functions and types: Multiple dispatch (M-I-T)
• Introduction to macros (M-I-T)
• Environments for programming with Julia (M-I-T)
• Understanding structure in data (M-I-T)
• Introspection (M-I-T)
• Analysing Covid-19 data (M-I-T)
• Introduction to DataFrames (M-I-T)
• Functions are objects (M-I-T)
• Probability via computation (M-I-T)
• Computational thinking illustrated (M-I-T)
• Graphs are matrices (M-I-T)
• Verbs and nouns in Julia (M-I-T)
• Graphs, trees, and spreading disease (M-I-T)