Artificial Intelligence – 6511 – Syllabus

Instructor and Contact

  • Name:                   Amrinder Arora
  • Office hours:        Tuesday, 4:00-6:00 PM or By Appointment

                                                  

Course Information

  • Course:                  Department of Computer Science, Artificial Intelligence
  • Credits:                  3

Bulletin Course Description

Representation and space search; heuristic search; predicate calculus; knowledge representation and knowledge engineering for expert systems; rule-based, hybrid, and O-O systems; semantic nets, frames, and natural language; theorem provers; planning, learning, neural nets; use of AI languages.

Prerequisites

CSCI 6212

Learning Outcomes

As a result of completing this course, students will be able to:

  1. Analyze given software programs (in form of pseudocode) to compute the time complexity
  2. Apply basic concepts in mathematics to evaluate given software programs
  3. Design and synthesize algorithms for given problems using standard algorithm design techniques and their combinations
  4. Understand applications of discrete math, algebra and number theory concepts to problems in computing.
  5. Apply knowledge of software engineering to design and implement software programs

Note: here is the list of student outcomes:

     a     an ability to apply knowledge of mathematics, science and engineering

     b     an ability to design and conduct experiments, as well as to analyze and interpret data

     c     an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability

     d     an ability to function on multidisciplinary teams

     e     an ability to identify, formulate, and solve engineering problems

     f      an understanding of professional and ethical responsibility

     g     an ability to communicate effectively (3g1 orally, 3g2 written)

     h     the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

     i      a recognition of the need for, and an ability to engage in life-long learning

     j      a knowledge of contemporary issues

     k     an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Class Schedule [week-by-week, Tentative]

Date Topic(s) and readings Assignment(s) Due
Lecture 1 Introduction  
Lecture 2 Uninformed Search  
Lecture 3 Informed Search  
Lecture 4 Constraint Satisfaction Problem I Project 1
Lecture 5 Constraint Satisfaction Problem II  
Lecture 6 Adversarial Search  
Lecture 7 Uncertainty and Utilities Project 2
Lecture 8 Markov Decision Processes I  
Lecture 9 Spring Break/No Class  
Lecture 10 Midterm  
Lecture 11 Markov Decision Processes II  
Lecture 12 Reinforcement Learning Project 3
Lecture 13 Probability and Markov Models  
Lecture 14 Hidden Markov Models and Particle Filters and Applications of HMMs  
Lecture 15 Bayes’ Nets, Decision Networks, Value of Perfect Information Project 4
Surprise quizzes can happen during any lecture

* Independent Learning Statement

Average minimum amount of out-of-class or independent learning expected per week:

The course includes 2.5 hours of direct instruction, and students are expected to spend a minimum of 5 hours of out-of-class independent learning, totaling a minimum of 7.5 hours per week.

Assignments and Grades

Grading

  • Midterm exam (15%)
  • 4 Projects (60%),
  • Final exam (15%)
  • Attendance (Class Participation) + Quizzes (10%)

Assignments

Assignment Total Points/Course Weightage
Project 1 15
Project 2 15
Project 3 15
Project 4 15

University Policies

University Policy on Religious Holidays

  1. Students should notify faculty during the first week of the semester of their intention to be absent from class on their day(s) of religious observance.
  2. Faculty should extend to these students the courtesy of absence without penalty on such occasions, including permission to make up examinations.
  3. Faculty who intend to observe a religious holiday should arrange at the beginning of the semester to reschedule missed classes or to make other provisions for their course-related activities

Support for Students Outside the Classroom

Disability Support Services (DSS)

Any student who may need an accommodation based on the potential impact of a disability should contact the Disability Support Services office at 202-994-8250 in the Rome Hall, Suite 102, to establish eligibility and to coordinate reasonable accommodations. For additional information please refer to: gwired.gwu.edu/dss/

Mental Health Services 202-994-5300​    

The University’s​ ​Mental Health Services offers 24/7 assistance and referral to address students’ personal, social, career, and study skills problems. Services for students include: crisis and emergency mental health consultations confidential assessment, counseling services (individual and small group), and referrals.  counselingcenter.gwu.edu/

Academic Integrity Code

Academic dishonesty is defined as cheating of any kind, including misrepresenting one’s own work, taking credit for the work of others without crediting them and without appropriate authorization, and the fabrication of information. For the remainder of the code, see: studentconduct.gwu.edu/code-academic-integrity

Any student who may need an accommodation based on the potential impact of a disability should contact the Disability Support Services office at 202-994-8250 in the Rome Hall, Suite 102, to establish eligibility and to coordinate reasonable accommodations. For additional information please refer to: gwired.gwu.edu/dss/

Mental Health Services 202-994-5300​    

The University’s​ ​Mental Health Services offers 24/7 assistance and referral to address students’ personal, social, career, and study skills problems. Services for students include: crisis and emergency mental health consultations confidential assessment, counseling services (individual and small group), and referrals.  counselingcenter.gwu.edu/

Academic Integrity Code

Academic dishonesty is defined as cheating of any kind, including misrepresenting one’s own work, taking credit for the work of others without crediting them and without appropriate authorization, and the fabrication of information. For the remainder of the code, see: studentconduct.gwu.edu/code-academic-integrity