Schedule

Worksheet

• Worksheet 1

In-Class Activities

1. Perceptions of AI
   Individual reflection and small-group discussion.

2. Reading and Reflection
   Read this article and respond to guided questions.

3. Class Discussion: Responsibility
   Whole-class discussion on responsibility and accountability in AI.

Submission

• Upload a PDF of the completed worksheet to Gradescope under In-Class – Week 1 Tuesday

Worksheet

• Worksheet 2

In-Class Activities

1. What Makes Something Intelligent?

   Group Activity: Small-group discussion using a shared board.

2. Big Ideas in AI

   Short discussion on perception, representation, learning, interaction, and societal impact.

   Worksheet activity applying the Big Ideas to:

   • Face detection on phones

   • A biological intelligence example

   • Another AI system

   Resources: Big Ideas Poster

3. Areas where AI is Used

   Short discussion on major AI application areas (e.g., vision, language, recommendation systems, robotics).

   Worksheet Activity: Connecting AI areas to CSE courses.

Submission

• Upload a PDF of the completed worksheet to Gradescope under In-Class – Week 1 Thursday

Worksheet

• Worksheet 3

In-Class Activities

1. The Imitation Game (Turing, Sections 1–5)
   Individual reflection followed by small-group discussion on what the Imitation Game captures about intelligence and what it leaves unresolved.

2. Learning Machines (Turing, Section 7)

   Read and discuss different parts of Turing’s argument about learning machines, then explain your section to your group.

3. Engineered vs. Learned Intelligence
   Work in small groups to classify AI systems as engineered or learned and justify your reasoning.

4. What Is Required for Learned Intelligence Reflect individually on what a system needs in order to learn, then contribute your ideas to a shared class list.

Submission

• Upload a PDF of the completed worksheet to Gradescope under In-Class – Week 2 Tuesday

Worksheet

• Worksheet 4

In-Class Activities

1. Engineered vs. Learned Intelligence
   Work in small groups to classify AI systems as engineered or learned and justify your reasoning.

2. What Is Required for Learned Intelligence Reflect individually on what a system needs in order to learn, then contribute your ideas to a shared class list.

3. Machine Learning Pipeline Build a high-level machine learning pipeline, discuss the role of each stage, and reason about why learning systems are iterative.

4. Learning Paradigms Identify whether example systems use supervised, unsupervised, or reinforcement learning and explain why.

5. Designing a Learning System Individually propose a learning system by defining the problem, the type of data or experience needed, the learning paradigm, and what success would look like. (PLEASE SUBMIT THIS AS HW2)

Submission

• Upload a PDF of the completed worksheet to Gradescope under In-Class – Week 2 Thursday

Log in to DataHub using your UCSD account. Then click on the worksheet link below - it should directly open the worksheet in DataHub.

Worksheet

• Open on DataHub directly: Worksheet 5

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Quick Poll

Please complete this short poll at the start of class: Poll Link

In today’s class we will:

• Continue reviewing Worksheet 5 and finish the final exercise.

• Review the material we have covered so far.

• Address any specific topics you would like to revisit and work through a few sample questions together.

Worksheet

• Open on DataHub directly: Worksheet 5

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

• Filled Worksheet

Submission

• Upload a PDF of the completed worksheet to Gradescope under In-Class – Week 3 Thursday

• To receive credit, your submission must include an attempted solution for Exercise: Brute-Force Search for Celsius to Fahrenheit.

Test 1 Prep:

• Please review the Test 1 preparation notes and let us know if you have any questions or clarifications.

• We will work through the Practice Set 1 on prairielearn.

Log in to DataHub using your UCSD account. Then click on the worksheet link below - it should directly open the worksheet in DataHub.

Worksheet

• Open on DataHub directly: Worksheet 6

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

• Filled Worksheet

Submission

• Upload a PDF of the (partially) completed worksheet 6 to Gradescope under In-Class – Week 4 Tuesday

Log in to DataHub using your UCSD account. Then click on the worksheet link below - it should directly open the worksheet in DataHub.

We will finish working on Worksheet 6 and then continue onto Worksheet 7. You can use your worksheet 6 from last time or if you want you can also use the filled one (from last class) linked below.

Worksheet

• Filled Worksheet 6( from Tuesday)

• Open on DataHub directly: Worksheet 7

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed worksheet 6 to Gradescope under In-Class – Week 4 Thursday

• To receive credit, your submission must include an attempted solution for Exercise: Implement Gradient Descent and Exercise: Compute Gradients for Both Weight and Bias.

Reminders

• Final Project - Teams Formation is due by this Thursday - It counts for 5% of the project grade.

• PA1 is released and is due by next Tuesday.

• Weekly reflections are due by Sunday - these count towards your participation grade.

In-Class Activity

We will finish working on Worksheet 7.

Log in to DataHub using your UCSD account. Then click on the worksheet link below - it should directly open the worksheet in DataHub.

Worksheet

• Open on DataHub directly: Worksheet 7

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed worksheet 7 to Gradescope under In-Class – Week 5 Tuesday

Supplementary Worksheet

• Open on DataHub directly: Worksheet 7 - Supplementary

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

• No submission required for the Supplementary Worksheet.

Reminders

• PA1 is due by next Tuesday.

• Final Project - Teams Formation is due today.

• Weekly reflections are due by Sunday and count toward your participation grade. Will be released after thursday’s class.

In-Class Activity

Today, we will work through Worksheet 8, where we focus on how models learn by reducing loss.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet

• Open on DataHub directly: Worksheet 8

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed worksheet to Gradescope under In-Class – Week 5 Thursday.

Reminders

• PA1 is due today.

• Final Project - Project proposal is due this Thursday.

• Weekly reflections are due by Sunday and count toward your participation grade. Will be released after thursday’s class.

In-Class Activity

Today, we will work through Worksheet 9.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet

• Open on DataHub directly: Worksheet 9

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed worksheet to Gradescope under In-Class – Week 6 Tuesday.

Reminders

• Final Project - Project proposal is due today.

• Weekly reflections are due by Sunday and count toward your participation grade. Will be released after thursday’s class.

In-Class Activity

Today, we will work through Worksheet 10. Use the main Notebook Environment.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet

• Open on DataHub directly: Worksheet 10

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed worksheet to Gradescope under In-Class – Week 6 Thursday.

In-Class Activity

Today, we will finish working on Worksheet 10 and then work through Worksheet 11.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet 10

• Open on DataHub directly: Worksheet 10

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Worksheet 11

• Open on DataHub directly: Worksheet 11

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed Worksheet 10 to Gradescope under In-Class – Week 7 Tuesday

• To receive credit, your submission must include an attempted solution for: Exercise: Update the _backward() functions for add, mul, and sigmoid_func in the next cell so they correctly propagate gradients using the chain rule.

Reminders

• Test 2 is next week - Week 8. Please schedule your Tests if you haven’t already done so. It covers all material from Week 4 to Week 7.

• PA 2 is due next Tuesday. Please start early!

• Project Proposal feedback should be out soon - please review the feedback and talk to your assigned mentor if needed.

• Weekly reflections are due by Sunday and count toward your participation grade. Will be released after thursday’s class.

In-Class Activity

Today, we will finish working on Worksheet 11 and then work through some practice problems for Test 2 if we have time.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet 11

• Open on DataHub directly: Worksheet 11

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed Worksheet 11 to Gradescope under In-Class – Week 7 Thursday

Test 2 Prep:

• Please review the Test 2 preparation notes and let us know if you have any questions or clarifications.

• We will work through the Practice Set 2 on prairielearn.

In-Class Activity

Today, we will be working on Worksheet 12.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet 12

• Open on DataHub directly: Worksheet 12

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed Worksheet 12 to Gradescope under In-Class – Week 8 Tuesday

Reminders

• PA3 is is due by next Tuesday.

• Final Project: Progress report is due by next Thursday - It counts for 10% of the project grade.

• Weekly reflections are due by sunday and count toward your participation grade. Will be released after thursday’s class.

In-Class Activity

Today, we will be working on Worksheet 13.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet 13

• Open on DataHub directly: Worksheet 13

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed Worksheet 13 to Gradescope under In-Class – Week 8 Thursday

Reminders

• PA3 is is due today.

• Final Project: Progress report is due this Thursday - It counts for 10% of the project grade.

• PA4 is out and due next Tuesday.

• Studen Evaluations: Please take some time to complete the SETs. I’d love to hear what you enjoyed most about the class and any ideas you have for making it even better next year!

• Weekly reflections are due by sunday and count toward your participation grade. Will be released after thursday’s class.

In-Class Activity

Today, we will be working on Worksheet 14.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet

• Open on DataHub directly: Worksheet 14

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed Worksheet 14 to Gradescope under In-Class – Week 9 Tuesday

Reminders

• Final Project: Progress report is due today - It counts for 10% of the project grade.

• PA4 is due next Tuesday.

• Studen Evaluations: Please take some time to complete the SETs. I’d love to hear what you enjoyed most about the class and any ideas you have for making it even better next year!

• Weekly reflections are due by sunday and count toward your participation grade. Will be released after thursday’s class.

In-Class Activity

Today, we will be working on Worksheet 15.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet

• Open on DataHub directly: Worksheet 15

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed Worksheet 15 to Gradescope under In-Class – Week 9 Thursday

Reminders

• PA4 is due today. Late date is this friday.

• Studen Evaluations: Please take some time to complete the SETs. I’d love to hear what you enjoyed most about the class and any ideas you have for making it even better next year! (EXTRA CREDIT)

In-Class Activity

Today, we will be working on Worksheet 16.

Log in to DataHub using your UCSD account.
Then click the worksheet link below to open it directly in DataHub.

Worksheet

• Open on DataHub directly: Worksheet 16

• If the DataHub link does not work, download the notebook from GitHub and upload it to DataHub.

Submission

• Upload a PDF of the completed Worksheet 16 to Gradescope under In-Class – Week 10 Tuesday

Worksheet

• Worksheet 17

Submission

• Upload a PDF of the completed worksheet to Gradescope under In-Class – Week 10 Thursday