Course Schedule
1.041/1.200/IDS.075/IDS.675/11.544 Spring 26
- All homework is due at 12pm on the day they are due.
- All pre-readings can be found in this document.
- Samuel Chin will TA Recitations 1 to 5
- Jung Hoon Cho will TA Recitations 6 to 11
Schedule
| Lecture | Date | Subject | Deadlines |
|---|---|---|---|
| Unit 1 | Traffic flow fundamentals | ||
| 1 | W 2/4 | Introduction, Context, and Administrivia [slides] | |
| 2 | F 2/6 | Graphical analysis I - Time-space diagrams [slides] | PSet1+CL1 out |
| R1 | M 2/9 | Recitation 1 | |
| 3 | W 2/11 | Graphical analysis II - Cumulative diagrams [slides] | |
| 4 | F 2/13 | Microscopic traffic models - Vehicle dynamics, kinematics, and behavior [slides] | |
| R2 | T 2/17 | Recitation 2 (Holiday on Monday. Tuesday = Monday on 2/17.) | |
| 5 | W 2/18 | Macroscopic traffic models - Traffic flow theory | |
| Unit 2 | Queueing systems | ||
| 6 | F 2/20 | Uncertainty in transportation - Probabilistic concepts | |
| R3 | M 2/23 | Recitation 3 | |
| 7 | W 2/25 | PSet Checkpoint 1 Queuing theory fundamentals - Stochastic delays |
PSet1+CL1 due at 12pm PSet2+CL2 out |
| 8 | F 2/27 | Queuing models - Stochastic throughput | |
| R4 | M 3/2 | Recitation 4 | |
| 9 | W 3/4 | Markov chains - Beyond basic facility dynamics | |
| 10 | F 3/6 | PSet Checkpoint 2 Stochastic simulation |
PSet 2 due |
| R5 | M 3/9 | Recitation 5 (Quiz1 Review) | |
| 11 | W 3/11 | Network queues and delays - Queuing network models, Quiz review | |
| 12 | F 3/13 | Quiz 1 | |
| Unit 3 | Machine learning for traffic control | ||
| R6 | M 3/16 | Recitation 6 | |
| 13 | W 3/18 | Markov decision processes - Modeling sequential decision problems | |
| 14 | F 3/20 | Dynamic programming - Solving deterministic finite horizon MDPs | CL2 due PSet3+CL3 out |
| Mar 23-27 | Spring Break | ||
| R7 | M 3/30 | Recitation 7 | |
| 15 | W 4/1 | Dynamic programming, Part 2 - Solving stochastic finite horizon MDPs | |
| 16 | F 4/3 | Reinforcement Learning - Solving MDPs from samples | |
| R8 | M 4/6 | Recitation 8 | |
| 17 | W 4/8 | Deep reinforcement learning - Solving large-state MDPs | |
| 18 | F 4/10 | Advanced topics in reinforcement learning | |
| Unit 4 | Optimizing transportation resources | ||
| R9 | M 4/13 | Recitation 9 | |
| 19 | W 4/15 | PSet Checkpoint 3 Linear programs I - Modeling mathematical programs |
PSet3+CL3 due PSet4+CL4 out |
| 20 | F 4/17 | Guest Lecture (Daizong Liu, East Asia Director, Institute for Transportation and Development Policy - ITDP) | |
| R10 | M 4/20 | Recitation 10 (Patriots' Day, No Recitation) | |
| 21 | W 4/22 | Linear program solvers - Simplex method | |
| 22 | F 4/24 | Integer programs - Branch-and-bound, Quiz review | |
| R11 | M 4/27 | Recitation 11 | |
| 23 | W 4/29 | PSet Checkpoint 4 TBD |
PSet 4 due |
| 24 | F 5/1 | Quiz 2 | |
| 25 | W 5/6 | In-class student presentations | |
| 26 | F 5/8 | In-class student presentations | CL4+Project Report due |