CAP 4630-U01 Artificial Intelligence
Fall 2020 Tu-Th 3:30PM - 4:45PM
Zoom

Instructor:
Leonardo Bobadilla
Assistant Professor
bobadillacs.fiu.edu
Office:Zoom
Phone: Zoom
Office Hours: Zoom
Tuesday/Thursday 5:00 PM-6:15 PM or by appointment

Course Calendar

Course Canvas

Catalog Description

Introduction to all major topics in artificial intelligence, including search, logic, optimization, constraint satisfaction, planning, probabilistic reasoning, multiagent systems, machine learning. The class prepares students for advanced study and research in each of the individual topics and provides students with tools to apply the approaches to numerous industrial applications. The assignments involve a mix of theoretical and implementation exercises.

Prerequisites

COP 3530.

Textbooks and Materials

We will follow closely this book:

Required Textbook: Artificial Intelligence: A Modern Approach. Third Edition. Stuart Russell and Peter Norvig. Pearson. ISBN: 9780136042594

Course Outline

  • Introduction: History of AI and Intelligent Systems
  • Problem Solving and Logic: Search (uninformed, informed, heuristics), Constraint Satisfaction Problems, Logical Agents
  • Uncertain knowledge and reasoning: Probability, Markov Decision Processes, Reinforcement Learning
  • Learning: Naive Bayes, Linear Regression, Perceptrons, Non parametric models, Hidden Markov Models

Grading

Homeworks will be a combination of written, programming, and practical assignments. There will be five to six homeworks assignments during the semester, some of them will include a significant amount of programming. We will use Python 3 as our programming language. Homeworks be done in groups of 2 (preferably). In addition, occasional quizzes may be given in class. You should read the corresponding sections on the book and be able to actively participate in class discussions. There will be one Midterm exam and one Final Exam. You will be responsible for all material covered in lectures, homeworks, and assigned readings. The various components of the course will be weighted as follows:

Homework assignments 50%
Midterm 20%
Final Exam 25%
Quizzes and class participation 5%

Policies on Assignments and Exams

All mini project deliverables and assignments should be submitted before midnight on the due date. The only excuse for missing an exam is verifiable cases of illness and emergencies and religious holidays. Please check the dates for exams and inform me at the earliest of any conflict due to the above-mentioned reasons.

Code of Academic Integrity:

University Policies:

For academic misconduct, sexual harassment, religious holidays, and information on services for students with disabilities, see :

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