Weekly Schedule

CSC 114 — Due Date Calendar

Assignments must be submitted no later than 3:00 PM on the due date to allow time to resolve potential problems. A late period extends from 3:01 PM — 11:59 PM on the day the assignment is due.

Assignments submitted during the late period are submitted at your own risk. System problems (campus, Brightspace, or other computer issues) are not acceptable excuses for missed work. Any issue that arises during the late period must be resolved by the student. Review the makeup policy and late policy on the Syllabus.

  • The short EVA quiz must be completed by January 21, 2026, 11:59 PM EST. The EVA is located under the Getting Started module.

  • Last day to withdraw is: February 2, 2026

Assignment Schedule

Assignment Opens Due (closes 11:59 PM)

Week 1
START HERE — Getting Started Assignments + — Course Acceptance Agreement (EVA)

Week 1: Foundations of Artificial Intelligence + — Week 1 Quiz + — Week 1 Discussion + — Week 1 Hands-On Assignment

Jan 12

Jan 21 — EVA Due
Jan 19 — Week 1 Quiz and Discussion Due

Week 2: Intelligent Agents and Problem Formulation + — Week 2 Quiz + — Week 2 Discussion

Jan 19

Jan 26

Week 3: Search Techniques for Problem-Solving + — Week 3 Quiz + — Week 3 Discussion + — Week 3 Assignment: Search Algorithm Application

Jan 26

Feb 2

Week 4: Optimization and Constraint Satisfaction + — Sudoku CSP Solver Lab + — Simulated Annealing Lab

Feb 2

Feb 9

Week 5: Logic and Knowledge Representation + — Week 5 Quiz + — Logic Puzzles Lab

Feb 9

Feb 16

Week 6: Knowledge-Based Agents and Inference + — Week 6 Quiz + — Expert Systems Lab

Feb 16

Feb 23

Week 7: Probabilistic Reasoning and Uncertainty + — Week 7 Quiz

Feb 23

Mar 2

Week 8: Intro to Machine Learning and Course Synthesis + — Week 8 Quiz + — Machine Learning Classifier Lab + — Final Reflection

Mar 2

Mar 6

Readings by Week

Each week’s readings draw from this open textbook and linked open-access materials.

Week Textbook Sections Open-Access Source

1

Unit 1 Overview, sections 1.1 — 1.5

Berkeley CS 188: Agents and Environments

2

Unit 2 Overview, sections 2.1 — 2.5

Berkeley CS 188: Rational Agents

3

Unit 3 Overview, sections 3.1 — 3.6

Berkeley CS 188: Search

4

Unit 4 Overview, sections 4.1 — 4.6

Berkeley CS 188: CSPs

5

Unit 5 Overview, sections 5.1 — 5.5

forall x: Calgary (Chapters 1-4)

6

Unit 6 Overview, sections 6.1 — 6.7

Berkeley CS 188: Logic

7

Unit 7 Overview, sections 7.1 — 7.5

Berkeley CS 188: Probability; OpenStax Introductory Statistics, Chapter 3

8

Unit 8 Overview, sections 8.1 — 8.5

Berkeley CS 188: Machine Learning

Leadership Speaker Series — Extra Credit

The Technology Division will hold a series of Leadership Speaker events via Microsoft Teams. Attendance is optional; recordings will be posted for your review. After attending or watching a recording, complete the Professional Development Assignment for 25 points of extra credit.

The extra credit for the Professional Development Assignment can only be earned once during the semester.
Event Session Date

Leadership Speaker Series Event #1

January 27, 2026

Leadership Speaker Series Event #2

February 10, 2026

Leadership Speaker Series Event #3

February 24, 2026

This work is licensed under CC BY-SA 4.0.