|CS 371 - Introduction to Artificial Intelligence
Presented with the unifying theme of constructing intelligent software agents, we survey an interesting variety of research problems and modern problem solving techniques. Topics we cover may include search, game-tree search, stochastic local search, constraint satisfaction, knowledge representation and reasoning, reasoning under uncertainty, data mining, robotics, and philosophical foundations.
|Stuart Russell, Peter Norvig
Artificial Intelligence: A Modern Approach, 3rd ed.
Prentice Hall; ISBN-10: 0136042597, ISBN-13: 978-0136042594
You are responsible to know the material from each lecture and reading assignment before the start of the next class. Homework is due at the beginning of lecture on the due date. Late homework will not necessarily be accepted. Code must be a legal program in the relevant language in order to be graded. (It need not be free from logic errors.)
You are required to attend 2 colloquia or approved departmental events over the course of the semester.
Class attendance and participation is required. If you attend all classes and are willing to participate, you'll get 100% for this part of your grade. Even if you know enough to give a particular lecture, please consider the value of helping your peers during in-class exercises.
Woody Allen is quoted as saying "80% of success is just showing up." While our class attendance/participation grade is not 80% of the final grade, it is critical that late arrivals and unexcused absences are not excessive. Missing more than half of class unexcused is considered being absent. An unexcused late arrival is counted as a half absence. If the total number of absences counted this way exceeds 20% of class meetings, i.e. 6 absences or more, the student will have failed the course.
You are expected to work an average of 9 hours per week beyond class time. Gettysburg College policy, in accordance with federal and state standards, equates 1 credit unit with an average of 12 hours of work per week with 50 minute classes counting as 1 full hour of work. During these remaining 9 hours beyond class, a student is expected to learn from assigned readings, complete exercises related to such readings, attend required colloquia, and complete assignments.
Think of your college studies as a more-than-full-time job, and engage in it with passion. After all, you get out of it what you put into it, and it is my hope that you'll gain much from your investment in this course. If you'd like to learn more about how to better track tasks and manage time as a student, consider watching my short tutorial on getting things done.
What is permitted:
What is not permitted:
Put simply, students may discuss assignments at an abstract level (e.g. specifications, algorithm pseudocode), but must actually implement solutions independently or in permitted groups. Credit should be given where credit is due. Let your conscience be your guide. Do not merely focus on the result; learn from the process.