2nd Edition
Author: Nell Dale and John Lewis
ISBN: 0763726265
Publisher: Jones and Bartlett, 2004
Email and drop-in questions will be answered on a time permitting basis.
Introduction to the study of computing: fundamental concepts and skills; opportunities at Michigan Tech; career opportunities; social and ethical issues.
All course material will be found on the course website: http://www.csl.mtu.edu/cs1000/www
We will be using material from the following text, which is on reserve in the library:
|
Computer Science Illuminated 2nd Edition Author: Nell Dale and John Lewis ISBN: 0763726265 Publisher: Jones and Bartlett, 2004 |
There is no need to buy this textbook. It is NOT available for sale in the bookstore.
Your letter grade will be computed from your score as follows:
| Letter Grade | Percentage | Grade points/credit | Rating |
|---|---|---|---|
| A | 90% and above | 4.0 | Excellent |
| B | 80 - 89% | 3.0 | Good |
| C | 70 - 79% | 2.0 | Average |
| D | 60 - 69% | 1.0 | Inferior |
| F | 59% and below | 0.0 | Failure |
| I | Incomplete; given only when a student is unable to complete a segment of the course because of circumstances beyond the student's control. A grade of incomplete may be given only when approved in writing by the department chair or school dean. | ||
| X | Conditional, with no grade points per credit; given only when the student is at fault in failing to complete a minor segment of a course, but in the judgment of the instructor does not need to repeat the course. It must be made up within the next semester in residence or the grade becomes a failure (F). An (X) grade is computed into the grade point average as an (F) grade. | ||
(No AB, BC or CD grades will be given.)
Grades will be based on the following:
| Attendance: | 20% |
| Homework: | 60% |
| Alumni report: | 20% |
| TOTAL: | 100% |
No late assignments will be accepted except in the case of medical emergencies, but only if a doctor's note explaining the circumstances is provided. For any other special arrangements, you must get approval from an instructor well in advance.
This is by far the easiest Computer Science course you will ever take. Nevertheless, there are some important requirements. Your performance will be evaluated in terms of the following criteria:
You are expected to attend all of the lectures in this course. Attendance will be taken.
These will be short written assignments, each assigned during a class period and due at the beginning of the following session. Homework assignments are to be done entirely individually and must be typed unless specified otherwise. No late homework assignments will be accepted.
In this assignment, you will contact an alumnus of the MTU Computer Science Department, have a conversation with him or her, and report on what you find. The alumni job descriptions from your reports will be posted on the Web. You will then browse these descriptions and look for matches that are a good fit for you.
Any time you turn in a graded exercise that you did not do yourself or use approved assistance, you will be considered to have violated MTU's Academic Integrity Policy. Doing so is not taken lightly in this course, and you will be severely punished when caught.
Academic regulations and procedures are governed by University policy. Academic dishonesty cases will be handled in accordance the University's policies.
If you have a disability that could affect your performance in this class or that requires an accommodation under the Americans with Disabilities Act, please see one of the instructors as soon as possible so that we can make appropriate arrangements. The Affirmative Action Office has asked that you be made aware of the following:
Michigan Tech complies with all federal and state laws and regulations regarding discrimination, including the Americans with Disabilities Act of 1990. If you have a disability and need a reasonable accommodation for equal access to education or services at Michigan Tech, please call Dr. Gloria Melton from the Dean of Students Office, at 487-2212. For other concerns about discrimination, you may contact your advisor, department head (Dr. Linda Ott) or the Affirmative Action Office, at 487-3310.