Syllabus

CSC 242/BCSC 232: Syllabus

Spring 2022

Tue-Thu 0940-1055
Dewey 1-101

Personnel

Instructor: Prof. George Ferguson

Office: Wegmans Hall 2103 (see instructor website for office hours)

TAs: Ian Clingerman:
Ethan Ferland:
Vuong Ho:
Grace Julien:
Yurong Liu:
Nina Long:
Qianqian Wei:
Enting Zhou:

Study Sessions: TBA (watch BlackBoard for announcements)

Course Description

Introduces fundamental principles and techniques from Artificial Intelligence, including heuristic search, automated reasoning, handling uncertainty, and machine learning, to prepare students for advanced AI courses.

Students may NOT add this course after the end of the two-week online Drop/Add period.

If changes to this syllabus are necessary, they will be announced on BlackBoard.

Prerequisites

CSC172, MTH150 (no exceptions); CSC173 STRONGLY RECOMMENDED.

Course Goals

This course introduces fundamental principles and techniques from Artificial Intelligence, including:

  • Heuristic search
  • Automated reasoning
  • Reasoning under uncertainty
  • Machine learning

The course is divided into four units, one for each topic listed above. You will not learn everything there is to know about AI from this course. But you will be prepared to learn more in advanced AI courses.

Course Mechanics

Textbook: Russell & Norvig, Artificial Intelligence: A Modern Approach, 4th ed. (2020). This book is excellent and will be a worthwhile addition to your Computer Science bookshelf.

Another good book is Poole & Mackworth, Artificial Intelligence: Foundations of Computational Agents, 2nd ed. (2017). Its approach is very similar to AIMA, especially for the material covered in this course.

Additional readings and resources will be assigned as needed and posted to BlackBoard.

Course calendar (including readings, assignments, and exam dates)

  • There is homework for every class. Homework will NOT be graded. We may go over the previous homework at the start of class and you can always go over it with the TAs in study sessions.
  • We do not have official CETL workshops, but the TAs hold regular study sessions. Many students find these VERY HELPFUL. Time and place will be announced on BlackBoard.
  • There is a project for every unit. The projects are designed to deepen your understanding of the material in preparation for the unit exam. You are encouraged to start (and finish) projects EARLY. There is no point in doing them at the last minute.
  • Late projects will not be accepted and will received a grade of 0.
  • There are FOUR (4) exams, one for each unit of the class. These will take place during class time.
  • This course does NOT permit additional work for extra credit under any circumstances.

Grading: Each unit will be equally weighted in the final grade:

  • Projects: 4 @ 12.5% each = 50%
  • Unit exams: 4 @ 12.5% each = 50%

In other words, each unit is worth 1/4 (25%) of the final grade: 12.5% for the unit exam and 12.5% for the project.

Letter grades will follow the Official University of Rochester Grading Scheme. Note that the University scheme puts “average” somewhere between C and B. The following table is an estimate of how the numeric grades will map onto the letter grades (subject to change):

  • A: Excellent ≥90%
  • B: Above Average ≥80%
  • C: Minimum Satisfactory Grade ≥70%
  • D: Minimum Passing Grade ≥60%
  • E: Fail <60%

All appeals of grades must be made within ONE WEEK of the grade being posted.

Assessment and Student Support

Learning Outcomes

Students who complete this course shall be able to:

  • Demonstrate strong knowledge of the fundamental science, mathematics, and processes that underlie computation and Computer Science.
  • Analyze computational systems using appropriate practical and theoretical models.
  • Design, implement, test and validate computational systems subject to appropriate requirements and external constraints.

Academic Support Services

College Center for Advising Services (CCAS)
Disability Resources
Center for Excellence in Teaching and Learning (CETL)
Writing, Speaking and Argument Program

Policies

Academic Honesty

All assignments and activities associated with this course must be performed in accordance with the University of Rochester’s Academic Honesty Policy. More information is available online.

You will learn the most if you do all the work in this course ON YOUR OWN.

That said, collaboration on projects is permitted, subject to the following requirements:

  • Groups of no more than 3 students, all currently taking CSC242.
  • You must be able to explain anything you or your group submit, IN PERSON AT ANY TIME, at the instructor’s or TA’s discretion.
  • One member of the group should submit on the group’s behalf and the grade will be shared with other members of the group. Other group members should submit a short comment naming the other collaborators.
  • All members of a collaborative group will receive the same grade on the project. Make sure you understand this before you decide to work in a group.
  • Avoid sites like GitHub and StackExchange for the duration of this course.

Note also that posting homework and project solutions to public repositories on sites like GitHub is a violation of the College’s Academic Honesty Policy, Section V.B.2 “Giving Unauthorized Aid.”

Disability Resources

The University of Rochester respects and welcomes students of all backgrounds and abilities. In the event you encounter any barrier(s) to full participation in this course due to the impact of disability, please contact the Office of Disability Resources. The access coordinators in the Office of Disability Resources can meet with you to discuss the barriers you are experiencing and explain the eligibility process for establishing academic accommodations. You can reach the Office of Disability Resources at: disability@rochester.edu; (585) 276-5075; Taylor Hall.

Students with an accommodation for any aspect of the course must make arrangements IN ADVANCE through the Disability Resources office. Then, as instructed by the office, contact the instructor to confirm your arrangements. Do not leave this until the last minute.

Attendance

We hope that you will want to attend class (lecture), but attendance is NOT required. However if you choose not to attend, you may miss important announcements or information about the course.

Credit Hours

This course follows the College credit hour policy for four-credit courses, including lectures and study sessions.

Students are expected to do significant work outside of class time. This supplementary work on homework, projects, and exam preparation may require up to twice again as many hours of effort per week.

Incompletes

This course follows the University policy regarding incompletes: “Incompletes may be given only when there are circumstances beyond the student’s control, such as illness or personal emergency, that prevented the student from finishing the course work on time.”

Excuses

Computer crashes, malfunctions, and catastrophic loss of files are NOT valid excuses for not submitting work on time. CSC242 students are Computer Scientists. You should know how to deal with this by now. Backup your files regularly to at least one external drive and/or cloud storage.

Network connectivity problems are also NOT an excuse for not submitting work to BlackBoard on time. CSC242 students are all familiar with BlackBoard, for better or worse. Upload early just in case.

Students who are unable to attend or complete any part of the course due to illness should contact the instructor AS SOON AS POSSIBLE. Please note that the University Health Service (UHS) does not provide retroactive excuses for missed classes. Students who are seen at UHS for an illness or injury can ask for documentation that verifies the date of their visit(s) to UHS without mention of the reason for the visit. Students with extended or severe illness should contact the College Center for Advising Services (CCAS) for advice and assistance.

Students with an appropriate excuse for missing any exam or project deadline must make arrangements IN ADVANCE.

Other Policies

Please also note Section V.7 of the College’s Academic Honesty policy regarding “Unauthorized Recording, Distribution or Publication of Course-Related Materials.”