Saint Louis University |
Computer Science 362
|
Dept. of Math & Computer Science |
If you wish, you may download a printable version of the original syllabus. However, all of that information is also on this web page and the web page will be updated as the course proceeds, whereas the printed syllabus will not.
"Fundamental introduction to the broad area of artificial intelligence and its applications. Topics include knowledge representation, logic, search spaces, reasoning with uncertainty, and machine learning."
Data Structures (CSCI 180)
At the completion of this course, students will be able to do the following:
| Instructor: | Dr. Michael Goldwasser |
| Email: | goldwamh at our university domain |
| Office: | Ritter Hall 108 |
| Phone: | (314) 977-7039 |
| Office Hours: |
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With the exception of the first day's printed handout, most of the information for this course will be distributed only by means of the course web page. This web site will contain all assignments, a schedule of topics, and links to other sources of documentation.
The web page contains some information (e.g. solutions, submitted assignments, individual grades) that is more sensitive and therefore which will be available to students in the class only after they have verified their identity. To gain access to these parts of the web page, a student must first complete the following online questionnaire, creating a unique identity and password.
All assignments for this course must be submitted electronically! The submission procedure will be done through the course web page, and allows students to submit from any computer connected to the Internet. Each student in this class will be selecting a unique username/password combination solely for use in identifying the student when using the course web page.
Details of the submission procedure are discussed on a separate web page.
Face-to-face contact in class and in office hours is most desirable. Yet email is a convenient form of communication as well. I try to respond to email promptly, including at least once each evening when possible.
If your question involves your progress on a current programming assignment, my response will be more informative if you can point out the specific problem you have encountered, and if I am able to see all of your source code. Therefore I strongly suggest that you either attach all relevant files to the email or submit preliminary versions of such files through our online system.
There will be a series of project-based assignments for the course. On certain assignments, you will be required to work individually; on others you will be allowed to work in pairs. Please respect the policy on Academic Integrity as given below. The assignments will be submitted electronically and generally due at 11:59pm on the assigned due date.
Letter grades will be based on each student's overall percentage of awarded points according to the following formula.
Students are expected to have read and abide by the University statement on Academic Integrity as described in Saint Louis University's Undergraduate Catalog. A more detailed policy statement is given by the College of Arts & Science, which apply to this course as well.
In addition to those general statements, we wish to discuss our policy in the context of this course. When it comes to learning and understanding the general course material, you may certainly use other reference materials and you may have discussions with other students in this class or other people from outside of this class. This openness pertains to material from the text, practice problems, general syntax and use of a programming language or other computing tools.
However, when it comes to work that is submitted for this course, you are not to use or to search for any direct or indirect assistance from unauthorized sources, including but not limited to:
Acceptable sources of information include consultations with the instructor, as well as any materials explicitly authorized in an assignment. Even in these cases, if you receive significant help you should make sure to document both the source of the help as well as the extent.
On certain assignments, we will explicitly allow students to work together. In this case, conversations between partners is both permissible and required. Furthermore, all students are expected to contribute significantly to the development of the submitted work. It is a violation to allow a partner to "sign on" to a submission if that partner did not significantly contribute to the work.
Any violations of these policies will be dealt with seriously. Penalties will apply as well to a student who is aiding another student. Any such violations will result in a minimum penalty of a zero on the given assignment that cannot be dropped, and severe or repeated violations will result in an immediate failing grade in the course. Furthermore all incidents will be reported in writing to the Department and/or the Dean, as per the College procedure.
All exams must be taken promptly at the required time. Requests for rescheduling an exam will only be considered if the request is made prior to the start of the exam, or else in an ``emergency'' situation with appropriate documentation.
For assignments, we wish to allow students to continue to work comfortably beyond the official deadline when a little more time will result in more progress, while at the same time discourage students from falling significantly behind pace and jeopardizing their success on future assignments. Our solution is the following exponentially decaying late formula (some have suggested that we should offer extra credit to anyone who fully understands this formula).
We will consider an assignment submission ``complete''
when any part of the assignment is last submitted or
modified. Any assignment that is not complete promptly by
its due date and time will be assessed a penalty based on the
formula
Examples:
The above policies will be waived only in an ``emergency'' situation with appropriate documentation.
In recognition that people learn in a variety of ways and that learning is influenced by multiple factors (e.g., prior experience, study skills, learning disability), resources to support student success are available on campus. Students who think they might benefit from these resources can find out more about:
Students who believe that, due to a disability, they could benefit from academic accommodations are encouraged to contact Disability Services at
Course instructors support student accommodation requests when an approved letter from Disability Services has been received and when students discuss these accommodations with the instructor after receipt of the approved letter.
Our department runs a computer server named turing that serves as the primary computing environment for this course. If you do not already have an account on this machine from a prerequisite course, please let us know and we will create a new one.
See further documentation regarding use of turing's facilities.
Please note: you are not explicitly required to use turing as your computing platform, but it is the only platform that we will officially support. If you wish to use another platform for completing your assignments, please feel free to do so.