AI 101

CS 199 “Understanding AI”

  • Called:
    • CS 199: Topics: Understanding AI
    • AI 101
  • A non-technical survey semester over:
    • Some trends in AI use
    • Some historical conversations around AI
    • Some technical background in implementing minimal AI
  • Taught this year via Google Colab.
    • It’s fast (it’s not)
    • It’s free (to us for now)
    • It’s fun (trust me)

MW 1020-1150

Prof. Calvin

Syllabus

Calendar

Week Date (M) Lecture (M) Lab (W) HW (F)
0x0 01/12 Turing’s Test ChatBots Introductions
0x1 01/19 None Colab Hello, World!
0x2 01/26 Knowledge Rep. Decision Trees Taxonomy
0x3 02/02 Perceptron Perceptron Dice
0x4 02/09 Formalisms Error Matplotlib
0x5 02/16 Tensors Torch Linear Regression
0x6 02/23 Pixels Pixel Map Gradients
0x7 03/02 CNNs Pyramid Pets
0x8 03/09 Adversity Autoencode
0x9 03/16 GANs Style
0bX 03/23 None None None
0xA 03/30 Text Rep.
0xB 03/06 Word2Vec
0xC 04/13 RNNs
0xD 04/20 Transformers None
0xE 04/29 Perspectives None

Final course reflection (“Perspectives”) due whenever the final exam would finish, TBA

Lecture Recordings

Forthcoming