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update schedule
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Arash Marioriyad committed Sep 27, 2024
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Expand Up @@ -106,6 +106,8 @@ parts:
Students' learning will be assessed through two quizzes, a midterm, and a final exam.
These exams will be held on the following dates, and participation is mandatory for all students.
- **First Quiz**: 1403/08/20 12:00 PM.
- **Second Quiz**: 1403/10/09 12:00 PM.
- **Midterm Exam**: 1403/09/22 15:00 PM.
- **Final Exam**: 1403/11/04 15:00 AM (as scheduled in EDU).
Expand All @@ -129,7 +131,9 @@ parts:
[Dr. Rohban's Quera](https://quera.org/course/add_to_course/course/18700/) and [Mr. Fereydooni's Quera](https://quera.org/course/add_to_course/course/18731/).
Regarding the late submission policy, you can submit answers with total delay
of 10 days with no penalty through the semester. Any additional delays will lead to a 0.5% reduction
in the assignment grade for every hour of delay. Notably, in order to prioritize fairness and consistency for all students, a request for a deadline extension must be emailed to the instructor and head TAs at least 72 hours before the deadline through E-Mail.
in the assignment grade for every hour of delay. This is illustrated in the figure below, where ℎ representsthe amount of delay in hours:
<div class="mx-auto max-w-xl">![Delay Coefficient graph]({{ static("images/course/delay_coef_2.png") }} "Delay coefficient")</div>
Notably, in order to prioritize fairness and consistency for all students, a request for a deadline extension must be emailed to the instructor and head TAs at least 72 hours before the deadline through E-Mail.
More information about homeworks are provided in [Dr. Rohban's Schedule Sheet](https://docs.google.com/spreadsheets/d/105jOspLAV32hXwpoF-64soccdiA-ytkdforUm4bsx6U/edit?usp=sharing) and [Mr. Fereydooni's Schedule Sheet](https://docs.google.com/spreadsheets/d/1keef9XNneE9-C7THQazHaUr_ax107L2f3bcKA4yIS9Q/edit?usp=sharing).
- title: Collaboration, Academic Honesty, and Plagiarism
text: >
Expand All @@ -142,7 +146,7 @@ parts:
text: >
- [**https://sut-ai.github.io/**](https://sut-ai.github.io/): This is the main page of our course and all exercises, slides and course resources will be placed in it.
- Quera, [**https://quera.org/course/add_to_course/course/16535/**](https://quera.org/course/add\_to\_course/course/16535/): Delivery of exercises and announcements will be done entirely through Quera. Make sure you enter an email on Quera that you check regularly. Your questions from the exercises will also be answered in Quera.
- [**Dr. Rohban's Quera**](https://quera.org/course/add_to_course/course/18700/) and [**Mr. Fereydooni's Quera**](https://quera.org/course/add_to_course/course/18731/): Delivery of exercises and announcements will be done entirely through Quera. Make sure you enter an email on Quera that you check regularly. Your questions from the exercises will also be answered in Quera.
- title: Schedule
type: table
id: schedule
Expand All @@ -167,286 +171,212 @@ parts:
display_name: Deadlines
size: 4
rows:
- date: Sun Bahman 15
- date: Sun, Mehr 1
session: '1'
description: |
Introduction & Intelligent Agents
materials:
events:

- date: Tue Bahman 17
- date: Tue, Mehr 3
session: '2'
description: |
Uninformed Search
materials:
events:

- date: Tue Bahman 24
- date: Sun, Mehr 8
session: '3'
description: |
Uninformed Search
materials:
events:

- date: Sun Bahman 29
- date: Tue, Mehr 10
session: '4'
description: |
Informed Search
materials:
events:

- date: Tue Esfand 1
- date: Sun, Mehr 15
session: '5'
description: |
Local Search
Informed Search
materials:
events:


- date: Sat Esfand 5
session:
events: |
<span class="text-green-500 font-bold" font-bold">HW1 Out </span> <span class="text-green-500" font-bold">[[handout](https://github.com/sut-ai/resources/raw/master/problem_sets/rohban_s2024/assignments/A1/HW1-S2024.zip)]</span>
- date: Tue Esfand 8
- date: Tue, Mehr 17
session: '6'
description: |
Local Search
materials:
events:

- date: Sun Esfand 13
- date: Sun, Mehr 22
session: '7'
description: |
Search in Continuous spaces
Search in Continuous Spaces
materials:
events:

- date: Tue Esfand 15
- date: Tue, Mehr 24
session: '8'
description: |
Constraint Satisfaction Problems I
Constraint Satisfaction Problems
materials:
events:


- date: Sun Esfand 20
- date: Tue, Mehr 29
session: '9'
description: |
Constraint Satisfaction Problems II
Constraint Satisfaction Problems
materials:
events:
- date: Tue Esfand 22

- date: Tue, Aban 1
session: '10'
description: |
Adversarial Search
materials:
events:

- date: Fri Esfand 25
session:
color: deadline
deadlines: |
<span class="text-red-500 font-bold">HW1 Deadline</span>
- date: Sat Esfand 26
session:
events: |
<span class="text-green-500 font-bold" font-bold">HW2 Out </span> <span class="text-green-500" font-bold">[[handout](https://github.com/sut-ai/resources/raw/master/problem_sets/rohban_s2024/assignments/A2/HW2-S2024.zip)]</span>
- date: Tue Farvardin 14

- date: Sun, Aban 6
session: '11'
description: |
Uncertainty & Inference
materials:
events:

- date: Fri Farvardin 17
session:
color: deadline
deadlines: |
<span class="text-red-500 font-bold">HW2 Deadline</span>
- date: Sat Farvardin 18
session:
events: |
<span class="text-green-500 font-bold" font-bold">HW3 Out </span> <span class="text-green-500" font-bold">[[handout](https://github.com/sut-ai/resources/master/problem_sets/rohban_s2024/assignments/A3/HW3-S2024.zip)]</span>
- date: Sun Farvardin 19
- date: Tue, Aban 8
session: '12'
description: |
Bayesian Networks: Representation
materials:
events:
- date: Tue Farvardin 21

- date: Sun, Aban 13
session: '13'
description: |
Inference in Bayesian Networks: Exact
materials:
events:
- date: Sun Farvardin 26

- date: Tue, Aban 15
session: '14'
description: |
Inference in Bayesian Networks: Approximate
materials: |
Sessions 1-8
events: |
<span class="text-red-500 font-bold" font-bold">Quiz 1</span>
<span class="text-red-500 font-bold">[[handout](https://github.com/sut-ai/resources/master/problem_sets/rohban_s2024/exams/Quiz1-problems.pdf)]</span>
<span class="text-red-500 font-bold">[[solution](https://github.com/sut-ai/resources/master/problem_sets/rohban_s2024/exams/Quiz1-solutions.pdf)]</span>
color: warning
materials:
events:

- date: Tue Farvardin 28
- date: Sun, Aban 20
session: '15'
description: |
Temporal Probability Models: Markov Chains & HMMs
materials:
events:
- date: Sun Ordibehesht 2

- date: Tue, Aban 22
session: '16'
description: |
Temporal Probability Models: Particle Filters
materials:
events:
- date: Tue Ordibehesht 4

- date: Sun, Aban 27
session: '17'
description: |
Learning in Bayesian Networks & Naive Bayes
materials:
events:

- date: Fri Ordibehesht 7
session:
color: deadline
deadlines: |
<span class="text-red-500 font-bold">HW3 Deadline</span>
- date: Sat Ordibehesht 8
session:
events:

- date: Sun Ordibehesht 9
- date: Tue, Aban 29
session: '18'
description: |
Decision Tree
materials:
events:

- date: Tue Ordibehesht 11
- date: Sun, Azar 4
session: '19'
description: |
Concepts of Machine Learning
materials:
events:

- date: Thu Ordibehesht 13
session:
description: |
<span class="text-red-500 font-bold" font-bold">Midterm Exam</span>
<span class="text-red-500 font-bold" font-bold">[[handout](https://github.com/sut-ai/resources/master/problem_sets/rohban_s2024/exams/midterm-question.pdf)]</span>
<span class="text-red-500 font-bold" font-bold">[[solution](https://github.com/sut-ai/resources/master/problem_sets/rohban_s2024/exams/midterm-solution.pdf)]</span>
materials: |
Sessions 1-13
events:
color: warning

- date: Sat Ordibehesht 15
session:
events: |
<span class="text-green-500 font-bold" font-bold">HW4 Out </span> <span class="text-green-500" font-bold">[[handout](https://github.com/sut-ai/resources/master/problem_sets/rohban_s2024/assignments/A4/HW4-S2024.zip)]</span>

- date: Sun Ordibehesht 16
- date: Tue, Azar 6
session: '20'
description: |
Regression & Optimization
materials:
events:

- date: Tue Ordibehesht 18
- date: Tue, Azar 11
session: '21'
description: |
Perceptron
materials:
events:


- date: Sun Ordibehesht 23
- date: Sun, Azar 13
session: '22'
description: |
Neural Networks I
Neural Networks
materials:
events:

- date: Tue Ordibehesht 25
- date: Sun, Azar 18
session: '23'
description: |
Neural Networks II
Neural Networks
materials:
events:

- date: Sun Ordibehesht 30
- date: Tue, Azar 20
session: '24'
description: |
Markov Decision Process
Markov Decison Process
materials:
events:
- date: Tue Khordad 1

- date: Sun, Azar 25
session: '25'
description: |
Markov Decision Process: Value Iteration & Policy Iteration
Value Iteration & Policy Iteration
materials:
events:

- date: Fri Khordad 4
session:
color: deadline
deadlines: |
<span class="text-red-500 font-bold">HW4 Deadline</span>
- date: Sat Khordad 5
session:
events: |
<span class="text-green-500 font-bold" font-bold">HW5 Release</span>
- date: Sun Khordad 6

- date: Tue, Azar 27
session: '26'
description: |
Reinforcement Learning: Passive & Active
Reinforcement Learning: Passive
materials:
events:


- date: Tue Khordad 8
- date: Sun, Dey 2
session: '27'
description: |
Reinforcement Learning: Active
materials:
events:

- date: Sun, Dey 4
session: '28'
description: |
Reinforcement Learning: Approximate
materials:
events:

- date: Wed Khordad 9
events: |
<span class="text-red-500 font-bold" font-bold">Quiz 2</span>
color: warning
materials: Sessions 14-23

- date: Fri Khordad 25
session:
color: deadline
deadlines: |
<span class="text-red-500 font-bold">HW5 Deadline</span>
- date: Sun Tir 3
session:

- date: Sun, Dey 9
session: '29'
description: |
<span class="text-red-500 font-bold" font-bold">Final Exam</span>
materials: |
Sessions 14-27
Applications / Guest Lecturer
materials:
events:
color: warning

- date: Sun, Dey 11
session: '30'
description: |
Applications / Guest Lecturer
materials:
events:

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